Interstate Power and Light Savings Reference Manual
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2014 IPL SAVINGS REFERENCE MANUAL
Prepared by
The Cadmus Group, Inc.
For
Interstate Power and Light Company,
An Alliant Energy Company
July 21, 2014
Original: July 21, 2014 Version 1.0
Revised: N/A
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Introduction .................................................................................................................................................. 1
Update Process ......................................................................................................................................... 4
Disclaimer of Warranties and Limitation of Liability ................................................................................ 5
Abbreviations and Acronyms .................................................................................................................... 6
Residential Prescriptive Rebates Program .................................................................................................... 8
HVAC: Central Air Conditioner .................................................................................................................. 9
HVAC: Electronically Commutated Motor (ECM) ................................................................................... 12
HVAC: Furnace ........................................................................................................................................ 14
HVAC: Heat Exchanger (Air-to-Air) .......................................................................................................... 16
HVAC: Heat Pump (Air-Source) ............................................................................................................... 21
HVAC: Heat Pump (Geothermal)............................................................................................................. 24
HVAC: Heat Pump (Split System) ............................................................................................................ 28
HVAC: HVAC System Tune-Up ................................................................................................................. 32
HVAC: Programmable Thermostat .......................................................................................................... 36
HVAC: Room Air Conditioning ................................................................................................................. 39
HVAC: Whole-House Fan ........................................................................................................................ 42
Shell: Insulated Doors ............................................................................................................................. 43
Water Heat: Desuperheater ................................................................................................................... 46
Water Heat: Water Heater ...................................................................................................................... 49
Home Energy Assessments Program .......................................................................................................... 53
HVAC: Duct Sealing and Repair ............................................................................................................... 54
HVAC: Programmable Thermostat .......................................................................................................... 56
Lighting: CFLs .......................................................................................................................................... 59
Plug Load: Advanced Power Strips .......................................................................................................... 61
Shell: Floor Insulation ............................................................................................................................. 63
Shell: Foundation/Basement Wall Insulation ......................................................................................... 66
Shell: Infiltration Control......................................................................................................................... 69
Shell: Roof Insulation .............................................................................................................................. 71
Shell: Wall Insulation............................................................................................................................... 74
Water Heat: Faucet Aerator.................................................................................................................... 77
Water Heat: Low-Flow Showerhead ....................................................................................................... 79
Water Heat: Water Heater Pipe Insulation ............................................................................................. 81
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Water Heat: Water Heater Temperature Setback .................................................................................. 83
Be-Bright Program ...................................................................................................................................... 85
Compact Fluorescent Light (CFL) ............................................................................................................ 86
Light Emitting Diode (LED) ...................................................................................................................... 88
LED Holiday String Light .......................................................................................................................... 90
Appliance Recycling Program ...................................................................................................................... 92
Refrigerator/Freezer Recycling ............................................................................................................... 93
Room Air Conditioner Recycling ............................................................................................................. 95
New Home Construction Program .............................................................................................................. 97
Builder Option Package ........................................................................................................................... 98
Advanced Performance Home Package ................................................................................................ 118
High-Performance Home Package ........................................................................................................ 123
Multifamily Program ................................................................................................................................. 128
Direct-Install: Low-Flow Showerhead ................................................................................................... 129
Direct-Install: Faucet Aerators .............................................................................................................. 131
Direct-Install: Pre-Rinse Sprayer Valve ................................................................................................. 133
Direct-Install: Programmable Thermostat ............................................................................................ 135
Direct-Install: Water Heater Pipe Insulation ......................................................................................... 137
Direct-Install: Water Heater Temperature Setback .............................................................................. 139
Direct-Install: Water Heater Tank Wrap ............................................................................................... 141
Direct-Install: CFLs and LEDs ................................................................................................................. 143
Direct-Install: LED Exit Sign ................................................................................................................... 145
Direct-Install: Advanced Power Strips .................................................................................................. 147
Leave Behind Energy Kit ........................................................................................................................ 149
Multifamily New Construction .............................................................................................................. 151
Weatherization Program........................................................................................................................... 153
EnergyWise Education Program ............................................................................................................... 154
Low-Income Multifamily and Institutional Efficiency Improvements Program ........................................ 155
Home Energy Savers Program................................................................................................................... 156
Nonresidential Prescriptive Rebates Program .......................................................................................... 157
Appliance: Commercial Clothes Washer ............................................................................................... 158
Appliance: Commercial Dishwasher ..................................................................................................... 160
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Cooking: Broiler ..................................................................................................................................... 163
Cooking: Convection Oven .................................................................................................................... 165
Cooking: Conveyor Oven ....................................................................................................................... 167
Cooking: Fryer ....................................................................................................................................... 169
Cooking: Griddle.................................................................................................................................... 171
Cooking: Rotating Rack Oven ................................................................................................................ 173
Cooking: Rotisserie Oven ...................................................................................................................... 175
Cooking: Steam Cooker ......................................................................................................................... 177
Hotel: Hotel Key Card Activated Systems ............................................................................................. 179
HVAC: Air Conditioner Tune-Up ............................................................................................................ 181
HVAC: Air Conditioning ......................................................................................................................... 184
HVAC: Boiler .......................................................................................................................................... 187
HVAC: Boiler Tune-Up Maintenance ..................................................................................................... 189
HVAC: Boiler Vent Damper ................................................................................................................... 191
HVAC: Chiller (Water- or Air-Cooled) .................................................................................................... 193
HVAC: Chiller-Pipe Insulation ................................................................................................................ 197
HVAC: Chiller Tune-Up Maintenance .................................................................................................... 199
HVAC: Duct Insulation ........................................................................................................................... 202
HVAC: Duct Sealing and Repair ............................................................................................................. 205
HVAC: ECM Fan ..................................................................................................................................... 208
HVAC: Furnace ...................................................................................................................................... 210
HVAC: Furnace Tune-Up Maintenance ................................................................................................. 212
HVAC: Air Source Heat Pump ................................................................................................................ 214
HVAC: Geothermal Heat Pump ............................................................................................................. 218
HVAC: Heat Pump Tune-Up Maintenance ............................................................................................ 224
HVAC: Package Terminal Air Conditioner and Heat Pump ................................................................... 228
HVAC: Programmable Thermostat ........................................................................................................ 231
Lighting: Bi-Level Control, Stairwell or Corridor ................................................................................... 234
Lighting: Daylighting Control ................................................................................................................. 236
Lighting: High-Efficiency Metal Halide .................................................................................................. 238
Lighting: High Bay (HID) Delamping ...................................................................................................... 241
Lighting: High-Bay ................................................................................................................................. 243
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Lighting: High-Performance and Reduced Wattage T8 ........................................................................ 246
Lighting: LED Refrigerator Case Light .................................................................................................... 251
Lighting: LED Exit Sign ........................................................................................................................... 253
Lighting: LED and CFL Fixtures .............................................................................................................. 255
Lighting: LED and CFL Lamps ................................................................................................................. 257
Lighting: Metal Halide Lamp Replacement ........................................................................................... 259
Lighting: Occupancy Sensor .................................................................................................................. 261
Lighting: Time Clocks and Timers for Lighting ...................................................................................... 263
Lighting: Traffic Lights ........................................................................................................................... 265
Lighting: T8 or T12 Delamping .............................................................................................................. 267
Motor: Enhanced Motor (Ultra-PE) ...................................................................................................... 269
Motor: Variable-Frequency Drives ........................................................................................................ 274
Office: Computer................................................................................................................................... 276
Office: Network Computer Management ............................................................................................. 278
Office: Server ........................................................................................................................................ 280
Pool: Pool/Spa Cover ............................................................................................................................ 282
Refrigeration: Anti-Sweat Heating Controls ......................................................................................... 284
Refrigeration: ECM on Display Case Evaporator Fans .......................................................................... 286
Refrigeration: High-Efficiency Evaporator Fan Walk-Ins ....................................................................... 288
Refrigeration: Walk-In Evaporator Fan Controller ................................................................................ 290
Refrigeration: Glass Door Refrigerator/Freezer .................................................................................... 292
Refrigeration: Night Covers for Display Cases ...................................................................................... 294
Refrigeration: Scroll Compressor .......................................................................................................... 296
Refrigeration: ENERGY STAR Solid Door Refrigerator/Freezer ............................................................. 298
Refrigeration: Strip Curtains for Walk-Ins ............................................................................................. 300
Refrigeration: Vending Machine Controller .......................................................................................... 302
Refrigeration: Vending Machine ........................................................................................................... 304
Shell: Foundation/Basement Wall Insulation ....................................................................................... 306
Shell: Infiltration Control....................................................................................................................... 309
Shell: Insulated Doors ........................................................................................................................... 311
Shell: Roof Insulation ............................................................................................................................ 314
Shell: Wall Insulation............................................................................................................................. 317
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Water Heat: Condensing Water Heater ................................................................................................ 320
Water Heat: Desuperheater ................................................................................................................. 323
Water Heat: Drainwater Heat Recovery ............................................................................................... 325
Water Heat: Water Heater .................................................................................................................... 327
Business Assessment Program .................................................................................................................. 331
Direct-Install: CFLs ................................................................................................................................. 332
Direct-Install: Faucet Aerators .............................................................................................................. 334
Direct-Install: LED Exit Sign ................................................................................................................... 336
Direct-Install: Low-Flow Showerhead ................................................................................................... 338
Direct-Install: Pre-Rinse Sprayer Valve ................................................................................................. 340
Direct-Install: Programmable Thermostat ............................................................................................ 342
Direct-Install: Vending Machine Controller .......................................................................................... 343
Direct-Install: Water Heater Pipe Insulation ......................................................................................... 345
Direct-Install: Water Heater Temperature Setback .............................................................................. 347
Custom Rebates Program ......................................................................................................................... 349
Commercial New Construction Program .................................................................................................. 351
Agriculture Prescriptive Rebates Program ................................................................................................ 353
Agriculture-Specific: Grain Dryer .......................................................................................................... 354
Agriculture-Specific: Livestock Waterers .............................................................................................. 356
Agriculture-Specific: Low-Pressure Irrigation ....................................................................................... 357
Dairy Equipment: Automatic Milker Takeoff ........................................................................................ 358
Dairy Equipment: Dairy Scroll Compressor ........................................................................................... 359
Dairy Equipment: Heat Reclaimer ......................................................................................................... 361
Dairy Equipment: Milk Precooler—Dairy Plate Cooler ......................................................................... 363
Dairy Equipment: Variable-Speed Drives for Dairy Vacuum Pumps/Milking Machines ....................... 365
HVAC: Air Source Heat Pump ................................................................................................................ 366
HVAC: Heat Pump (Geothermal)........................................................................................................... 369
Lighting: LED and CFL Fixtures .............................................................................................................. 373
Lighting: LED and CFL Lamps ................................................................................................................. 375
Lighting: LED Exit Signs .......................................................................................................................... 377
Lighting: High-Efficiency Metal Halide .................................................................................................. 378
Lighting: Heat Lamps ............................................................................................................................. 380
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Lighting: High Bay (HID) Delamping ...................................................................................................... 382
Lighting: High-Bay Lighting.................................................................................................................... 384
Lighting: High-Performance and Reduced-Wattage T8 Fixtures .......................................................... 386
Lighting: Metal Halide Lamp Replacement ........................................................................................... 390
Lighting: T8 or T12 Delamping .............................................................................................................. 392
Lighting: Time Clocks and Timers for Lighting ...................................................................................... 394
Motors: Enhanced Motors (Ultra-PE) ................................................................................................... 396
Motors: VFDs ........................................................................................................................................ 400
Ventilation: Circulating Fans ................................................................................................................. 402
Ventilation: High-Volume, Low-Speed (HVLS) Fans .............................................................................. 404
Ventilation: High-Efficiency Ventilation System ................................................................................... 406
Appendix A: Peak Coincidence Factors ..................................................................................................... 408
Appendix B: Equivalent Full Load Hours ................................................................................................... 413
Appendix C: Lighting Hours of Operation ................................................................................................. 416
Appendix D: Nonresidential Hot Water Usage ......................................................................................... 417
Appendix E: Effective Useful Life of Measures ......................................................................................... 418
Appendix F: Revision History .................................................................................................................... 426
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Introduction In association with the 2014–2018 Energy Efficiency Portfolio (EEP), the Interstate Power and Light (IPL)
Savings Reference Manual (SRM) provides guidance for measuring the resource savings from standard
energy-efficiency measures. The SRM was developed for estimating annual electric and natural gas
energy savings and coincident peak demand savings for a selection of energy-efficient technologies and
measures.
The savings algorithms provided in this document were developed using industry-accepted methods.
The algorithms were largely guided by the findings of the joint utility Assessment of Energy and Capacity
Savings Potential in Iowa (Statewide Assessment) dated February 28, 2012 and other sources. The
Statewide Assessment is a comprehensive study of energy efficiency and demand response savings
potential in the service territories of Iowa’s three investor-owned utilities: IPL, Black Hills Energy (BHE),
and MidAmerican Energy Company (MEC). The Assessment focused on reporting potential savings over
a 10-year planning horizon, from 2014 to 2023.
To assess the impacts of each measure, and the programs as a whole, algorithms use customer data as
input values. Savings per measure are either deemed or based on engineering algorithms that can be
used to estimate savings based on the information provided by participants on a rebate application
and/or equipment records stored in IPL’s or other organizations’ databases such as ENERGY STAR®, the
Air Conditioning, Heating and Refrigeration Institute (AHRI), and the Consortium for Energy Efficiency
(CEE).
The SRM’s resource energy savings methodologies may be represented in one of three ways: (1) fully
deemed; (2) partially deemed algorithm; or (3) fully calculated algorithms. The majority of the SRM
contains fully deemed and partially deemed algorithms.
1. Fully Deemed: A fully deemed measure receives a stipulated (deemed) savings value. A
measure often has deemed savings when savings have been found to be stable for certain,
standard measure types when they are used in common applications and/or in cases where
collecting participant-specific data for calculating savings is difficult or impossible. Deemed
savings for a given measure may be provided for a range of different application scenarios
such as for specific building types. In cases where fully deemed savings are used in the SRM
the savings are generally based on the Statewide Assessment results.
2. Partially Deemed Algorithm: Algorithms can be used to calculate savings in cases where
input parameters are stipulated or determined based on project-specific conditions.
Partially deemed algorithms are used for measures with commonly accepted formulas and
rigorously reviewed inputs. Partially deemed algorithms allow participant-specific data to be
applied but minimize the data-collection burden by using preapproved, standard inputs for
uncollected variables. Partially deemed algorithms can also prove effective with weather-
dependent measures (such as furnaces) where look-up tables provide variables such as full-
load hours, based on the climate zone.
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3. Fully Calculated Algorithms: Fully calculated algorithms are applied only with custom
measures, where individual projects vary significantly in terms of installed measure
parameters and other factors that affect energy use and savings.
The 2014–2018 EEP is composed of 25 programs targeting single family and multifamily residential, low-
income residential, commercial, industrial, and agriculture customers. Of those 25 programs, 15 offer
direct financial incentives, direct installation measures, and/or technical assistance for customer actions
to improve building efficiency and two programs offer incentives for customer actions to reduce peak
demand. However, the SRM addresses only the 15 energy-efficiency programs that generate measure-
based savings. IPL designed its Energy-Efficiency Portfolio to offer customers in every sector the
flexibility to participate at many levels, based on their individual needs and building type.
The SRM algorithms support programs within the EEP where fully and partially deemed algorithms are
used to estimate savings. The savings algorithms are incorporated into IPL’s customized energy-
efficiency tracking system, Tool for Reporting Energy Efficiency Savings (TREES), to calculate and track
rebate payments and impacts. TREES receives data feeds from IPL’s customer billing system, which
ensures the customer’s account is active and that the service type (electric, natural gas, or both) is
accurately reflected when calculating measure savings.
In addition to the SRM, TREES relies on energy-savings tracking and documentation by program
implementation contractors, such as WECC, Michaels Engineering, CLEAResult, and Iowa Community
Action Program (CAP) agencies, as shown in Table 1.
Table 1. EEP Programs Included in the Savings Reference Manual
Energy-Efficiency Portfolio Energy Savings Reference Savings In SRM (Yes/No)
Residential Prescriptive Rebates SRM—IPL TREES Yes
Home Energy Assessments SRM—WECC/IPL Yes
Be-Bright SRM—WECC/IPL Yes
Appliance Recycling SRM—IPL Yes
New Home Construction SRM—IPL TREES Yes
Multifamily SRM—IPL Yes
Weatherization IPL/CAP Agency No
EnergyWise Education Cadmus Annual Evaluation No
Low-Income Multifamily and Institutional Efficiency Improvements
IPL/CAP Agency No
Home Energy Savers IPL/CAP Agency No
Nonresidential Prescriptive Rebates SRM—IPL TREES Yes
Business Assessments SRM—CLEAResult/IPL Yes
Custom Rebates Technical Guide Book—Michaels Engineering
No
Commercial New Construction Michaels Engineering No
Agriculture Prescriptive Rebates SRM—IPL TREES Yes
All SRM measures are accompanied by Excel® spreadsheets that provide additional information such as
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measure qualifications, default savings calculations, and assumption source documentation. These IPL
spreadsheet workbooks are available upon request.
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Update Process
Annual updates to this SRM will be published prior to the filing of IPL’s annual report each year to
reflect the electric and natural gas energy savings assumptions in place for the year. The updates will be
incorporated in the original document and changes will be indicated in Appendix F: Revision History
table. This regular update process is intended to ensure the SRM remains relevant and useful by:
• Presenting validated savings calculations for any new measures added to the IPL programs since
the previous year’s update;
• Eliminating measures that are no longer being offered by IPL; and
• Updating information on existing measures to reflect new research findings and technology
changes.
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Disclaimer of Warranties and Limitation of Liability
This guide is published for the convenience of the user. Its contents are based on the experiences and judgment of others, and may not be applicable to individual users in individual circumstances. THIS INFORMATION SHOULD NOT BE CONSIDERED AS ALL-INCLUSIVE OR COVERING ALL CONTINGENCIES. In no event will Alliant Energy Corporation, or its subsidiaries, affiliates, or vendors be responsible to the user in contract, in tort (including negligence), in strict liability, or otherwise for any special, direct, indirect, incidental, or consequential damage or loss whatsoever; or claims against the user by its customers resulting from use of this guide. Information in this guide is subject to change without notice. No part of this guide may be copied, reproduced, republished, uploaded, posted, distributed, or transmitted in any form or by any means, electronic or mechanical, for any purpose, without permission. Copyright 2014 Alliant Energy All rights reserved.
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Abbreviations and Acronyms
ACEEE American Council for an Energy-Efficient Economy
ADS aerosol-based ductwork sealing
AFUE annual fuel utilization efficiency
AHRI Air-Conditioning, Heating, and Refrigeration Institute
AMCA Air Movement and Control Association
ASHP air-source heat pump
ASHRAE American Society of Heating and Air-Conditioning Engineers
BESS Bioenvironmental and Structural Systems
BHE Black Hills Energy
BOP builder option package
CAC central air conditioner
CAP capacity
CBECS Commercial Buildings Energy Consumption Survey
CDD cooling degree days
CF coincidence factor
CFL compact fluorescent lamp
CFR Code of Federal Regulations
CL&P Connecticut Light & Power
COP coefficient of performance
DEER Database for Energy Efficient Resources
DHR Department of Human Rights
DOE Department of Energy
DSM demand-side management
DX direct expansion
ECM electronically commutated motor
EEP energy efficiency portfolio
EER energy efficiency ratio
EF energy factor
EFLH equivalent full load hours
EISA Energy Independence and Security Act
EPA Environmental Protection Agency
EPAct Energy Policy Act
eQUEST QUick Energy Simulation Tool
FAF forced air furnace
FEMP Federal Energy Management Program
FPL federal poverty level
GPM gallons per minute
GSHP geothermal (ground) source heat pump
HDD heating degree days
HERS home energy rating system
HES home energy savers
HID high-intensity discharge
HP high-performance
hp horsepower
HPWH heat pump water heater
HSPF heating seasonal performance factor
HVAC heating, ventilation, and air conditioning
IECC International Energy Conservation Code
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IPL Interstate Power and Light
IUA Iowa Utility Association
LBNL Lawrence Berkeley National Laboratory
LED Light emitting diode
MBtu 1000 British thermal units
MEC MidAmerican Energy Company
MEF modified energy factor
MIEI multifamily and institutional efficiency improvements
NEMA National Electrical Manufacturers Association
NREL National Renewable Energy Laboratory
NY TRM New York Technical Resource Manual
OH TRM Ohio Technical Resource Manual
PA TRM Pennsylvania Technical Resource Manual
PSC permanent split capacitor
PTAC package terminal air conditioner
PTHP package terminal heat pump
QI quality installation
RAC room air conditioner
RPM revolutions per minute
RTF regional technical forum
RW reduced wattage
S/P scotopic/photopic
SAVE System Adjustment and Verified Efficiency
SEER seasonal energy efficiency ratio
SF savings factor
SL standby loss
SP shaded pole
SRM savings reference manual
TE thermal efficiency
TEFC totally enclosed fan cooled
TMY typical meteorological year
TREES Tool for Reporting Energy Efficiency Savings
TRM technical resource manual
UES unit energy savings
UI United Illuminating Company
WF water factor
WM wattage multiplier
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Residential Prescriptive Rebates Program Table 2. Residential Prescriptive Rebates Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Residential electric Residential natural gas
Customer Status All All
Building Type Single-family home; manufactured home;
multifamily home
Single-family home; manufactured home;
multifamily home
Building Vintage All All
Geography IPL’s Iowa service territory IPL’s Iowa service territory
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HVAC: Central Air Conditioner
Measure Description Residential purchase of split-system central air conditioning (CAC).
Fuel Electric
End Use HVAC
Baseline Equipment Central air conditioner system, compliant with the federal standard; with a minimum seasonal energy-efficiency ratio (SEER)/energy-efficiency ratio (EER) of 13.0/11.2.
Efficiency Qualification Central air conditioner system with a minimum SEER/EER of 14.5/12 (split-system). Must be (System Adjustment and Verified Efficiency) SAVE installed. Same efficiency specifications as ENERGY STAR or better.
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Efficiency (in SEER and/or EER).
Market Opportunity Replace on Burnout, Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Central Air Conditioner <65
MBtuh
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline = 13 SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system = Range (14.5 to 30)
CAP = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) EFLHC = Equivalent Full Load Hours of cooling = See Table 3
Unit = Number of rebated units SF = Savings factor for quality installation = 10.5%
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Central Air Conditioner <65
MBtuh
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Where: EERBase = Energy Efficiency Ratio baseline = 11.2
EEREff = Energy Efficiency Ratio of new high-efficiency system = Range (12 to 20)
CAP = Capacity of cooling system in MBtuh CAPMBtuh = CAPtons × 12
EFLHC = Equivalent Full Load Hours of cooling = See Table 3 CF = Peak Coincidence Factor = See Table 4
Unit = Number of rebated units SF = Savings factor for quality installation = 10.5%
ALGORITHM VARIABLES:
Table 3. Central Air Conditioner Equivalent Full Hours (EFLH) of Cooling
Building Type Vintage* End Use Cooling Load Hours
(EFLHc)
Manufactured Existing Cool Central 764
Manufactured New Cool Central 449
Multifamily Existing Cool Central 650
Multifamily New Cool Central 445
Single-family Existing Cool Central 811
Single-family New Cool Central 484
Residential Residential Cool Central 794
*Vintage new construction refers to homes built during and after 2009, while vintage existing construction represents pre-2009 building construction.
Table 4. Central Air Conditioner Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 5. Central Air Conditioner Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase 13 SEER: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
SEEREff Entered from application form or Air-Conditioning, Heating, and Refrigeration Institute (AHRI) database. Range based on AHRI database; highest SEER listed is 26 as of August 2013.
CAP Entered from application form or AHRI database.
SF Based on proper refrigerant charge, evaporator airflow, and unit sizing.
EERBase 11.2 EER: Calculated from SEERBase, methodology from National Renewable Energy Laboratory (NREL) Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff Entered from application form or AHRI database. Range based on AHRI database; highest EER listed is 18, as of August 2013.
Table 3. Central Air Conditioner Equivalent Full Hours (EFLH) of Cooling
Inferred from the 2011 Assessment of Potential.
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Algorithm Inputs Algorithm Sources
Table 4. Central Air Conditioner Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Electronically Commutated Motor (ECM)
Measure Description Energy and demand saving are captured through reductions in fan power due to improved motor efficiency and variable flow operation.
Fuel Electric
End Use HVAC
Baseline Baseline based on 2003 Wisconsin furnace study. Cooling degree days (CDDs) and heating degree days (HDDs) based on the reference city of Des Moines, IA. Single-family segment.
Efficiency Qualification Installed on qualifying CAC, furnace, or ASHP. For new installations only.
Required Rebate Application Inputs
Heating system type Cooling system type
Market Opportunity New Installations Only
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—ECM Motor—Heating System
Where: Heating Savings
= ECM heating season kWh savings = See Table 6
Unit = Number of rebated units
Table 6. ECM Heating Season kWh Savings
Building Type Vintage* ECM Heating Savings (kWh)
Manufactured Existing 263
Manufactured New 196
Multifamily Existing 187
Multifamily New 129
Single-family Existing 313
Single-family New 262 *Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
Electric Savings kWh—ECM Motor—Cooling System
Where: Cooling Savings
= ECM cooling season kWh savings = See Table 7
Unit = Number of rebated units
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Table 7. ECM Cooling Season kWh Savings
Building Type Vintage* ECM Cooling Savings (kWh)
Manufactured Existing 89
Manufactured New 66
Multifamily Existing 63
Multifamily New 43
Single-family Existing 105
Single-family New 88 *Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
ANNUAL ENERGY-DEMAND ALGORITHM:
ECM Motor—Peak kW
Where:
Annual kWh = Cooling savings = See “Electric Savings kWh—ECM Motor-Cooling System” calculation above
CF = Peak Coincidence Factor = See Table 8
Table 8. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 9. ECM Motor Algorithm Sources
Algorithm Inputs Algorithm Sources
ECM Heating kWh Savings Based on 2003 Wisconsin furnace study, weighted by HDD/CDD for Des Moines, IA.
ECM Cooling kWh Savings Based on 2003 Wisconsin furnace study, weighted by HDD/CDD for Des Moines, IA.
Peak Coincidence Factor Inferred from the 2011 Assessment of Potential.
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HVAC: Furnace
Measure Description Residential purchase of an energy-efficient furnace.
Fuel Gas
End Use HVAC
Baseline Equipment Furnace compliant with 1987 National Standard, with AFUE of 78%.
Efficiency Qualification -Furnace that is 94% AFUE–95% AFUE. Quality Installation (QI) required. -Furnace that is 96% AFUE or higher. QI required.
Required Rebate Application Inputs
-Equipment size (in MBtuh). -Efficiency (AFUE).
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Gas Savings Therms—Furnace <225 MBtuh
Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline efficiency furnace
= 78%
AFUEEff = Annual Fuel Utilization Efficiency for new high-efficiency furnace = Range (94% to 99%)
CAP = Input capacity of heating system in MBtuh = Range (28 to 225) EFLHH = Equivalent Full Load Hours of heating = See Table 10
Unit = Number of rebated units 100 = Conversion factor from MBtuh to therms = 100
SF = Savings factor for quality installation = 2%
ANNUAL ENERGY-DEMAND ALGORITHM:
Gas Demand Savings Peak Therms—Furnace <225 MBtuh
Where:
CF = Peak Coincidence Factor = See Table 11
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ALGORITHM VARIABLES:
Table 10. Furnace EFLH of Heating
Building Type Vintage* End Use Equivalent Full Load Hours of Heating—
EFLHH
Manufactured Existing Heat Central Furnace 627
Manufactured New Heat Central Furnace 452
Multifamily Existing Heat Central Furnace 520
Multifamily New Heat Central Furnace 371
Single-family Existing Heat Central Furnace 612
Single-family New Heat Central Furnace 532
Residential Residential Heat Central Furnace 603 *Vintage new construction refers to homes built before or during 2009; existing construction represents pre-2009 building
construction.
Table 11. Furnace Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 12. Furnace Algorithm Sources
Algorithm Inputs Algorithm Sources
AFUEBase 1987 National Standard (newer standards have failed to be enacted—Energy Independence and Security Act [EISA] 2007).
AFUEEff Entered from application form. Range based on AHRI database; highest AFUE listed is 98.5%.
CAP Entered from application form. Range based on AHRI database; lowest output heating capacity listed is 28 MBtuh.
SF Based on proper airflow, vent sizing, and control settings; Cadmus assumption.
Table 10. Furnace EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 11. Furnace Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Heat Exchanger (Air-to-Air)
Measure Description An Air-to-Air Heat Exchanger saves energy in a home ventilation system by capturing heat from exhaust air before it is ventilated outside.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Air-to-Air Heat Exchanger compliant with federal code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
Efficiency Qualification New construction home with air-to-air heat exchanger. GSHPs are not applicable for air-to-air exchangers.
Required Rebate Application Inputs
-Heating system type (gas furnace, ASHP, CAC, and electric furnace). -Heating system capacity (MBtuh).
Market Opportunity New Construction
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHMS:
Electric Savings kWh—Air-to-Air Heat Exchanger—ASHP
Where:
EFLHH = Equivalent Full Load Hours of heating for ASHP for single-family home
= See Table 13
HSPFBase = Heating Seasonal Performance Factor (Btu/Wh-h), using application data or use federal baseline as proxy
= 7.7* 8.2**
SFH = Savings Factor for heating = 10% CAPH = Capacity of heating system in MBtuh (Tons x 12) = Range (4 to 65) Unit = Number of rebated units
EFLHC = Equivalent Full Load Hours of cooling = See Table 14
SEERBase = Seasonal Energy Efficiency Ratio (Btu/Wh-h), using application data or the federal baseline as a proxy
= 13* 14**
SFC = Savings Factor for cooling = 9% CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65)
* Before 1/1/15 ** After 1/1/15 Federal Code Change
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Table 13. EFLH of Cooling for Air-Source Heat Pump for Single-family Home
Building Type Vintage End Use Cooling Load Hours—EFLHc
Single-family New Heat Pump 484
Table 14. EFLH of Heating for Air-Source Heat Pump for Single-family Home
Building Type Vintage End Use Heating Load Hours—EFLHH
Single-family New Heat Pump 2,160
Electric Savings kWh—Air-to-Air Heat Exchanger—CAC
Where: EFLHC = Equivalent Full Load Hours of cooling = See Table 15
SEERBase = Seasonal Energy Efficiency Ratio (Btu/Wh-h), using application data or the federal baseline as a proxy
= 13
SFC = Savings Factor for cooling = 9% CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) Unit = Number of rebated units
Table 15. EFLH of Cooling
Building Type Vintage End Use Cooling Load Hours—EFLHc
Single-family New Cool Central 484
Electric Savings kWh—Air-to-Air Heat Exchanger—Electric Furnace
Where:
SFH = Savings Factor for heating = 10% Unit = Number of rebated units
EFLHH = Equivalent Full Load Hours of heating for electric furnace for single-family home
= See Table 16
COPBase = Coefficient of Performance of baseline system = 1.00 3.412 = 1 Watt = 3.412 Btu per hour CAPH = Capacity of heating system in MBtuh = Range (0 to 200)
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Table 16. EFLH of Heating for Electric Furnace for Single-family Home
Building Type Vintage End Use* Heating Load Hours—EFLHH
Single-family New Heat Pump 2,160 * This assumes the electric resistance heat EFLH is the same as the heat pump heating EFLH.
Gas Savings Therms—Air-to-Air Heat Exchanger—Gas Furnace
Where:
EFLHH = Equivalent Full Load Hours of heating for gas furnace for single-family home
= See Table 17
100 = Conversion factor from MBtuh to therms = 100 SFH = Savings Factor for heating = 10% CAPH = Capacity of heating system in MBtuh = Range (28 to 225) Unit = Number of rebated units
Table 17. EFLH of Heating for Gas Furnace for Single-family Home
Building Type Vintage End Use Heating Load Hours—EFLHH
Single-family New Heat Central Furnace 532
ANNUAL ENERGY-DEMAND ALGORITHMS:
Electric Demand Savings Peak kW—Air-to-Air Heat Exchanger—ASHP and CAC
Where:
EFLHC = Equivalent Full Load Hours of cooling = See Table 15
EERBase = Energy Efficiency Ratio of baseline efficiency system from application
= See Table 18
SFC = Savings Factor for cooling = 9% CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65)
CF = Peak Coincidence Factor = See Table 19 Unit = Number of rebated units
Table 18. Energy Efficiency Ratio of Baseline Efficiency System
ASHP Before 1/1/15 ASHP After 1/1/15 CAC
11.2 11.8 11.2
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Table 19. Peak Coincidence Factor
Cooling System Single-family
Cooling 0.00101125
Electric Demand Savings Peak kW—Air-to-Air Heat Exchanger—Electric Furnace
Gas Demand Savings Peak Therms—Air-to-Air Heat Exchanger—Gas Furnace
Where:
CF = Peak Coincidence Factor = See Table 20
Table 20. Peak Coincidence Factor
End Use Single-family
Central Heat 0.00970261
VARIABLE SOURCES:
Table 21. Air-to-Air Heat Exchanger Algorithm Sources
Algorithm Inputs Algorithm Sources
EFLHC Inferred from the 2011 Assessment of Potential.
EFLHH Inferred from the 2011 Assessment of Potential.
SEERBase Application data or federal baseline as proxy: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPFBase Application data or federal baseline as proxy: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
SFC REM Rate modeling done for Minnesota Sustainable Housing Initiative, http://www.mnshi.umn.edu/kb/scale/hrverv.html
SFH REM Rate modeling done for Minnesota Sustainable Housing Initiative, http://www.mnshi.umn.edu/kb/scale/hrverv.html
CF Inferred from the 2011 Assessment of Potential.
COPBase Assume electric resistance heater to have a COP of 1.0.
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Algorithm Inputs Algorithm Sources
CAPH
(Gas Savings Therms—Air-to-Air Heat Exchanger—Gas Furnace)
Range based on AHRI database; lowest output heating capacity listed is 28 MBtuh.
AFUE (Gas Savings Therms—Air-to-Air Heat Exchanger—Gas Furnace)
Assume new construction installs a minimum of 90% AFUE.
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HVAC: Heat Pump (Air-Source)
Measure Description Residential purchase of Air-Source Heat Pump.
Fuel Electric
End Use HVAC
Baseline Equipment Air-Source Heat Pump compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
Efficiency Qualification
Air-Source Heat Pump system that is minimum of SEER/EER 14.5/12 and heating and seasonal performance factor (HSPF) 8.2. Must be SAVE installed. Same efficiency specifications as ENERGY STAR or better. Energy qualifications will be reviewed to account for the January 1, 2015, code update.
Required Rebate Application Inputs
-Equipment size (heating and cooling capacity in MBtuh or tons). -Efficiency (in SEER and/or EER, HSPF and/or COP). -Installation date.
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM:
ASHP <65 MBtuh—SEER Rated
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline = 13* 14**
SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system
= Range (14.5 to 30)
CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) EFLHC = Equivalent Full Load Hours of cooling = See Table 22
Unit = Number of rebated units SFC = Cooling savings factor for quality installation = 10.5%
HSPFBase = Heating Seasonal Performance Factor federal baseline = 7.7* 8.2**
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HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system
= Range (7.8 to 15)
CAPH = Capacity of heating system in MBtuh (Tons x 12) = Range (4 to 65) EFLHH = Equivalent Full Load Hours of heating = See Table 23
SFH = Heating savings factor for quality installation = 11.8% *Before 1/1/2015 **After 1/1/2015
ANNUAL ENERGY-DEMAND ALGORITHM:
ASHP <65 MBtuh—SEER Rated
Where:
EERBase = Energy Efficiency Ratio baseline = 11.2 EEREff = Energy Efficiency Ratio of new high-efficiency system = Range (12 to 20)
CF = Peak Coincidence Factor = See Table 24
ALGORITHM VARIABLES:
Table 22. Air-Source Heat Pump EFLH of Cooling
Building Type Vintage* End Use Cooling Load Hours—EFLHc
Manufactured Existing Cool Central 764
Manufactured New Cool Central 449
Multifamily Existing Cool Central 650
Multifamily New Cool Central 445
Single-family Existing Cool Central 811
Single-family New Cool Central 484
Residential Residential Cool Central 794 * Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
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Table 23. Air-Source Heat Pump EFLH of Heating
Building Type Vintage* End Use Heating Load Hours—EFLHH
Manufactured Existing Heat Pump 2,401
Manufactured New Heat Pump 2,019
Multifamily Existing Heat Pump 1,846
Multifamily New Heat Pump 1,561
Single-family Existing Heat Pump 2,272
Single-family New Heat Pump 2,160
Residential Residential Heat Pump 2,269 * Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
Table 24. Air-Source Heat Pump Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 25. Air-Source Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
SEEREff Entered from application form or AHRI database. Range based on AHRI database; highest SEER listed is 26 as of August 2013.
CAPC Entered from application form or AHRI database.
SFC Based on proper refrigerant charge, evaporator airflow, unit sizing, and controls optimization.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPFEff Entered from application form or AHRI database. Range based on AHRI database; highest HSPF listed is 13 as of August 2013.
CAPH Entered from application form or AHRI database.
SFH Based on proper refrigerant charge, evaporator airflow, unit sizing, and controls optimization.
EERBase 11.2 EER: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff Entered from application form or AHRI database. Range based on AHRI database; highest EER listed is 18 as of August 2013.
Table 22. Air-Source Heat Pump EFLH of Cooling
Inferred from the 2011 Assessment of Potential.
Table 23. Air-Source Heat Pump EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 24. Air-Source Heat Pump Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Heat Pump (Geothermal)
Measure Description Residential installation of Geothermal Heat Pump.
Fuel Electric
End Use HVAC
Baseline Equipment Standard efficiency ASHP compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
Efficiency Qualification Tier 1 Geothermal Heat Pump that is EER 14.0 and 3.0 COP. Tier 2 Geothermal Heat Pump that is EER 18.0 and 4.0 COP. Tier 3 Geothermal Heat Pump that is EER 23.0 and 5.0 COP.
Required Rebate Application Inputs
-Application Type (Water-to-Water, Water-to-Air, Direct Geoexchange) -Equipment Type (Water-Loop Heat Pump, Ground-Water Heat Pump, Ground-Loop Heat Pump) -System Type (Open Loop, Closed Loop) -Equipment Size (in MBtuh or Tons) -Efficiency (EER and COP) -Installation date -Variable Speed Geothermal systems (Y/N)
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Geothermal Heat Pump—Single/Constant Speed
Where:
EERBase = Energy Efficiency Ratio federal baseline = 11.2* 11.8**
EERFL-Eff = Rated full load Energy Efficiency Ratio of high-efficiency system = See Table 26 CAPFL-C = Rated full load capacity of cooling system in MBtuh (Tons × 12) = Range (4 to 240) EFLHC = Equivalent Full Load Hours of cooling = See Table 27
Unit = Number of rebated units
COPBase = Coefficient of Performance of baseline system = 2.26* 2.40**
COPFL-Eff = Rated full load Coefficient of Performance of efficient system = See Table 26 CAPH = Rated full load capacity of heating system in MBtuh (Tons × 12) = Range (4 to 240)
EFLHH = Equivalent Full Load Hours of heating = See Table 28 3.412 = Conversion factor from Btuh to watts = 3.412
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
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Electric Savings kWh—Geothermal Heat Pump—Variable Speed
Where:
PLFH = Part load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
FLFH = Full load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
PLFC = Part load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.85
FLHC = Full load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.15
CAPFL-C = Rated full load capacity of cooling system in MBtuh = Range (4 to 240) CAPFL-H = Rated full load capacity of heating system in MBtuh = Range (4 to 240)
EERBase = Energy Efficiency Ratio of baseline efficiency system in [Btu/W-h] = 11.2* 11.8**
EERPL-Eff = Part Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
EERFL-Eff = Full Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
COPBase = Coefficient of Performance of baseline system in [Btu/W-h] = 2.26* 2.40**
COPPL-Eff = Rated part load Coefficient of Performance of new high efficiency system in [Btu/W-h]
COPFL-Eff = Rated full load Coefficient of Performance of new high efficiency system in [Btu/W-h]
EFLHC = Equivalent Full Load Hours of Cooling = See Table 27 EFLHH = Equivalent Full Load Hours of Heating = See Table 28 3.412 = Conversion Btuh per watt = 3.412
Unit = Number of Rebated Units *Before 1/1/2015 **After 1/1/2015 Federal Code Change
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ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Geothermal Heat Pump
Where:
CF = Peak Coincidence Factor = See Table 29
ALGORITHM VARIABLES:
Table 26. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
GSHP Type Application Type Minimum
EEREff Maximum
EEREff Minimum
COPEff Maximum
COPEff
Water-Loop Heat Pump Water-to-Air 14.0 27.2 3.0 9.4
Ground-Water Heat Pump Water-to-Air 14.0 59.7 3.0 7.4
Ground-Loop Heat Pump Water-to-Air 14.0 46.2 3.0 6.2
Water-Loop Heat Pump Water-to-Water 14.0 18.2 3.0 5.6
Ground-Water Heat Pump Water-to-Water 14.0 27.6 3.0 4.8
Ground-Loop Heat Pump Water-to-Water 14.0 24.3 3.0 4.0
Direct Geoexchange N/A 14.0 24.4 3.0 4.4
Table 27. Geothermal Heat Pump EFLH of Cooling
Building Type Vintage* End Use Cooling Load Hours—
EFLHc
Manufactured Existing Cool Central 764
Manufactured New Cool Central 449
Multifamily Existing Cool Central 650
Multifamily New Cool Central 445
Single-family Existing Cool Central 811
Single-family New Cool Central 484
Residential Residential Cool Central 794 * Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
Table 28. Geothermal Heat Pump EFLH of Heating
Building Type Vintage* End Use Heating Load Hours—EFLHH
Manufactured Existing Heat Pump 2,401
Manufactured New Heat Pump 2,019
Multifamily Existing Heat Pump 1,846
Multifamily New Heat Pump 1,561
Single-family Existing Heat Pump 2,272
Single-family New Heat Pump 2,160
Residential Residential Heat Pump 2,269 * Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
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Table 29. Geothermal Heat Pump Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 30. Geothermal Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
EERBase Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER. SEER based on Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERFL-Eff Entered from application form or AHRI database.
CAPFL-C Entered from application form or AHRI database. For heat pumps larger than 65 MBtuh, it is assumed multiple air-source heat pumps are installed that are less than 65 MBtuh maintaining the same baseline.
COPBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
COPFL-Eff Entered from application form or AHRI database.
CAPFL-H Entered from application form or AHRI database. For heat pumps larger than 65 MBtuh, it is assumed multiple air-source heat pumps are installed that are less than 65 MBtuh maintaining the same baseline.
PLFH Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFH
PLFC
GSHPs produce higher cooling capacity than heating capacity. A 4-ton GSHP might produce 50,000 BTUs of cooling but only 37,400 BTUs of heating at peak cooling and heating conditions, respectively. In Des Moines, homes demand more heating than cooling. This means that the GSHP must run longer at full-load to heat a home, but can meet the homes cooling load with less capacity. As a result, the part-load adjustment has a proportionally larger impact on the cooling season usage. Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFC
EERPL-Eff Use the rated part load efficiency from application form or AHRI database
COPPL-Eff Use the rated part load efficiency from application form or AHRI database
Table 26. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
Minimum range based on equipment qualifications. Maximum range based on AHRI database and rounded up by 15%, as of September 2013.
Table 27. Geothermal Heat Pump EFLH of Cooling
Inferred from the 2011 Assessment of Potential.
Table 28. Geothermal Heat Pump EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 29. Geothermal Heat Pump Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Heat Pump (Split System)
Measure Description Residential purchase of Mini-Split Heat Pump (whole house or supplemental add-on).
Fuel Electric
End Use HVAC
Baseline Equipment Electric resistance, electric forced air furnace, ASHP, room AC, CAC, new construction, or other.
Efficiency Qualification
Whole-House Mini-Split Heat Pump Energy: -Mini-Split Heat Pump that is SEER/EER 15/12 and HSPF 8.5. -Minimum of 12,000 Btuh (outdoor unit). -Must heat and cool for the use of heating the whole home. -Must be inverter based. -Cooling-only systems are not eligible. Supplemental (add-on) Mini-Split Heat Pump Energy: -Mini-Split Heat Pump that is SEER/EER 15/12 and HSPF 8.5. -Applicable for add-on or supplement heating and cooling for individual room(s). -Must be inverter based. -Cooling-only systems are not eligible.
Required Rebate Application Inputs
-Equipment size of outdoor unit (heating and cooling capacity in MBtuh or tons). -Efficiency (in SEER and/or EER, HSPF and/or COP). -Installation date.
Market Opportunity Replace on Burnout; Early Replacement; Retrofit
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Ductless Heat Pump <65 MBtuh—Whole House/Supplemental Systems
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline = See Table 31 SEEREff = Seasonal Energy Efficiency Ratio of high-efficiency system = Range (15 to 35)
CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (12 to 65) EFLHC = Equivalent Full Load Hours of cooling = See Table 32
Unit = Number of rebated units HSPFBase = Heating Seasonal Performance Factor federal baseline = See Table 31
HSPFEff = Heating Seasonal Performance Factor of high-efficiency system = Range (8.5 to 16) CAPH = Capacity of heating system in MBtuh (Tons x 12) = Range (12 to 65)
EFLHH = Equivalent Full Load Hours of heating = See Table 33
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ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—ASHP <65 MBtuh—Whole House/Supplemental Systems
Where:
EERBase = Energy Efficiency Ratio baseline = Calculated EEREff = Energy Efficiency Ratio of new high-efficiency system = Range (12 to 20) EFLHH = Equivalent Full Load Hours of heating See Table 33 = Capacity of cooling system in MBtuh (Tons x 12) = Range (12 to 65)
CF = Peak Coincidence Factor = See Table 34
ALGORITHM VARIABLES:
Table 31. Split-System Heat Pump Baseline Cooling/Heating Equipment Efficiency
Equipment Baseline Parameter
Baseline Efficiency
Heating/Cooling (Before 2015)
Baseline Efficiency
Heating/Cooling (After 2015)
SEER Base/HSPF Base/EER Base
Electric resistance (baseboard)
SEEREff 3.413 3.413 HSPF Base
Force air furnace (electric) HSPFEff 3.242 3.242 HSPF Base
Air-source heat pump (heating)
HSPFElectric resistance 7.7 8.2 HSPF Base
New construction (heating) HSPFForce Air Furnace 7.7 8.2 HSPF Base
Other (heating) HSPFAir Source Heat Pump 7.7 8.2 HSPF Base
Central air conditioner HSPFNew Construction 13 13 SEER Base
Central air conditioner HSPFOther Heating 11.2 11.2 EER Base
Air-source heat pump (cooling)
SEERCAC 13 14 SEER Base
Air-source heat pump (cooling)
EERCAC 11.2 11.8 EER Base
Room air conditioner SEERASHP 11.4 11.4 SEER Base
Room air conditioner EERASHP 9.8 9.8 EER Base
New construction (cooling) SEERRAC 13 14 SEER Base
New construction (cooling) EERRAC 11.2 11.8 EER Base
Other (cooling) SEERNew Construction 13 14 SEER Base
Other (cooling) EERNew Construction 11.2 11.8 EER Base
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Table 32. Split-System Heat Pump EFLH of Cooling
Building Type Vintage* End Use Cooling Load Hours—EFLHc
Manufactured Existing Cool Central 764
Manufactured New Cool Central 449
Multifamily Existing Cool Central 650
Multifamily New Cool Central 445
Single-family Existing Cool Central 811
Single-family New Cool Central 484
Residential Residential Cool Central 794 * Vintage new construction refers to homes built during and after 2009; existing construction represents pre-2009 building construction.
Table 33. Split-System Heat Pump EFLH of Heating
Building Type Vintage* End Use Heating Load Hours—EFLHH
Manufactured Existing Heat Pump 2,401
Manufactured New Heat Pump 2,019
Multifamily Existing Heat Pump 1,846
Multifamily New Heat Pump 1,561
Single-family Existing Heat Pump 2,272
Single-family New Heat Pump 2,160
Residential Residential Heat Pump 2,269 * Vintage new construction refers to homes built during and after 2009; existing construction represents pre-2009 building construction.
Table 34. Split-System Heat Pump Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 35. Split-System Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
SEEREff Entered from application form or AHRI database.
HSPFEff Entered from application form or AHRI database.
HSPFElectric resistance Assume COP of 1.0, converted to HSPF by multiplying 3.413.
HSPFForce Air Furnace Assume COP of 0.95 (assume 5% furnace losses), converted to HSPF by multiplying 3.413.
HSPFAir Source Heat Pump Source: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPFNew Construction Source: Assume NC baseline is either air-source or ductless heat pump set to Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPFOther Heating Source: While OTHER heating may be gas heat, wood stove, etc., assume other baseline as a conservative input to be either air-source or ductless heat pump and set to Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
SEERCAC Source: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
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Algorithm Inputs Algorithm Sources
EERCAC Source: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
SEERASHP Source: Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERASHP Source: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
SEERRAC Source: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EERRAC Source: Federal Standard, effective October 2000 through June 1, 2014.
SEERNew Construction Source: Assume NC baseline either air-source or ductless heat pump set to Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERNew Construction Source: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
SEEROther Cooling Source: While OTHER cooling may be evaporative cooling, fan, etc., assume other baseline as a conservative input to be either air-source or ductless heat pump and set to Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EEROther Cooling Source: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
CAPC Entered from application form or AHRI database.
EFLHC
Inferred from the 2011 Assessment of Potential; supplement load hours based on Pennsylvania Technical Reference Manual June 2013—FLH Cooling Secondary Location; Adjusted by a factor 30% based on the 2013 PA TRM (Pennsylvania Technical Resource Manual).
CAPH Entered from application form or AHRI database.
EFLHH Inferred from the 2011 Assessment of Potential; supplement load hours based on Pennsylvania Technical Reference Manual June 2013—FLH Cooling Secondary Location; Adjusted by a factor 30% based on the 2013 PA TRM.
CF Inferred from the 2011 Assessment of Potential.
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HVAC: HVAC System Tune-Up
Measure Description Tune-up of existing residential HVAC systems.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Existing residential HVAC systems that require tune-ups.
Efficiency Qualification
-Air Conditioner Maintenance (Tune-up). -Air-Source Heat Pump Maintenance (Tune-up). -Ground-Source Heat Pump Maintenance (Tune-up). -Boiler Maintenance (Tune-up). -Furnace Maintenance (Tune-up).
Required Rebate Application Inputs
-Heating system type (gas furnace, ASHP, GSHP, electric baseboard, electric furnace). -Heating system capacity (MBtuh). -Heating system efficiency (AFUE, HSPF, COP). -Cooling system type (CAC, ASHP, GSHP, room AC, none). -Cooling system capacity (MBtuh). -Cooling system efficiency (SEER, EER, or N/A).
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—HVAC System Tune-up—ASHP
Where:
SFC = Cooling savings factor for ASHP tune-ups = 7.5% EFLHC = Equivalent Full Load Hours of cooling = See Table 36 SEER = Seasonal Energy Efficiency Ratio of installed unit = 13* CAP = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) Unit = Number of rebated tune-ups SFH = Heating savings factor for ASHP tune-ups = 2.3%
EFLHH = Equivalent Full Load Hours of heating = See Table 36 HSPF = Heating Seasonal Performance Factor of installed unit = 7.7*
* Use provided default value only if value is not available.
Electric Savings kWh—HVAC System Tune-up—GSHP
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Where:
SFC = Cooling savings factor for GSHP tune-ups = 7.5% EFLHC = Equivalent Full Load Hours of cooling = See Table 36
EER = Energy Efficiency Ratio of installed unit = 11.2* CAP = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) Unit = Number of rebated tune-ups SFH = Heating savings factor for GSHP tune-ups = 2.3%
EFLHH = Equivalent Full Load Hours of heating = See Table 36 COP = Coefficient of Performance of installed unit = 2.26*
3.412 = Conversion factor from Btuh to watts = 3.412 * Use provided default value only if value is not available.
Electric Savings kWh—HVAC System Tune-up—CAC
Where:
SFC = Cooling savings factor for CAC tune-ups = 7.5% EFLHC = Equivalent Full Load Hours of cooling = See Table 36 SEER = Seasonal Energy Efficiency Ratio of installed unit = 13* CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (4 to 65) Unit = Number of rebated tune-ups
* Use provided default value only if value is not available.
Gas Savings Therms—HVAC System Tune-up—Gas Furnace/Boiler
Where:
SF = Heating savings factor for furnaces and boilers = 7% EFLHH = Equivalent Full Load Hours of heating = See Table 36
CAP = Input capacity of heating system in MBtuh (Tons x 12) = Range (30 to 225) 100 = Conversion factor from MBtuh to therms = 100 Unit = Number of rebated tune-ups
* Use provided default value only if value is not available.
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ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—HVAC System Tune-up—ASHP, GSHP, and CAC
Where:
Cooling Annual kWh = Annual kWh savings from cooling = Calculated CF = Peak Coincidence Factor = See Table 37
Gas Demand Savings Peak Therms—HVAC System Tune-up—Gas Furnace and Boiler
Where: Annual Therms = Annual HVAC therms savings = Calculated
CF = Peak Coincidence Factor = See Table 37
ALGORITHM VARIABLES:
Table 36. EFLH of Heating and Cooling
Building Type End Use EFLHC EFLHH
Manufactured Heat Pump 764 2,401
Multifamily Heat Pump 650 1,846
Single-family Heat Pump 811 2,272
All Residential Heat Pump 794 2,269
Manufactured Cool Central 764 N/A
Multifamily Cool Central 650 N/A
Single-family Cool Central 811 N/A
All Residential Cool Central 794 N/A
Manufactured Heat Central Furnace N/A 627
Single-family Heat Central Furnace N/A 612
Multifamily Heat Central Furnace N/A 520
Manufactured Heat Central Boiler N/A 714
Single-family Heat Central Boiler N/A 686
Multifamily Heat Central Boiler N/A 738
All Residential Heat Central Furnace N/A 603
All Residential Heat Central Boiler N/A 689
Table 37. HVAC Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling (Peak kW) 0.00097871 0.00095662 0.00101125 0.001004888
Central Heat (Peak Therms)
0.00934793 0.00903212 0.00970261 0.009615235
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VARIABLE SOURCES:
Table 38. HVAC System Tune-up Algorithm Sources
Algorithm Inputs Algorithm Sources
SFC Calculated based on Cadmus report: Savings percent for a refrigerant charged AC unit, Bin Analysis, Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005; see accompanying Excel workbook.
SFH Calculated based on Cadmus report: Savings percent for a refrigerant charged AC unit, Bin Analysis, Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005; see accompanying Excel workbook.
SEERHP (Default) Assume existing equipment meets code (conservative estimate); Federal Code, 2006, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPF (Default) Assume existing equipment meets code (conservative estimate); Federal Code, 2006, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EER (Default) Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
COP (Default) Federal Code, 2006, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
SEERCAC (Default) Assume existing equipment meets code (conservative estimate); Federal Code, 2006, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EFLH Inferred from the 2011 Assessment of Potential.
CF Inferred from the 2011 Assessment of Potential.
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HVAC: Programmable Thermostat
Measure Description Residential purchase of programmable thermostat.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Standard non-programmable thermostat.
Efficiency Qualification -Existing home only. -Setback 5-1-1, 5-2, 7-Day, or WiFi programmable thermostat.
Required Rebate Application Inputs
-Heating system type (gas furnace, ASHP, GSHP, electric baseboard, electric furnace). -Heating system capacity (MBtuh). -Heating system efficiency (AFUE, HSPF, COP). -Cooling system type (CAC, ASHP, GSHP, room AC, none). -Cooling system capacity (MBtuh). -Cooling system efficiency (SEER, EER, N/A).
Market Opportunity Retrofit
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM:
Electric Savings kWh—Programmable Thermostat
Where: EQUIPusage = Annual consumption by building and equipment type = See Table 39
SF = Savings factor for programmable thermostat = 3.5% Unit = Number of rebated units
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Programmable Thermostat—Electric Furnace and Baseboard
Gas Demand Savings Peak Therms—Programmable Thermostat—Gas Furnace and Boiler
Where: Annual Therms = Annual HVAC therms savings = Calculated
CF = Peak Coincidence Factor = See Table 40
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ALGORITHM VARIABLES:
Table 39. Programmable Thermostat Annual Energy Usage
Building Type End Use HVAC Equipment Type EQUIPusage (kWh/Therms)
Manufactured Heat Pump Air-Source Heat Pump 12,044
Multifamily Heat Pump Air-Source Heat Pump 7,548
Single-family Heat Pump Air-Source Heat Pump 13,971
Manufactured Heat Pump—Cooling Air-Source Heat Pump 1,896
Multifamily Heat Pump—Cooling Air-Source Heat Pump 1,282
Single-family Heat Pump—Cooling Air-Source Heat Pump 2,290
Manufactured Heat Pump—Heating Air-Source Heat Pump 10,148
Multifamily Heat Pump—Heating Air-Source Heat Pump 6,266
Single-family Heat Pump—Heating Air-Source Heat Pump 11,682
Manufactured Heat Pump Ground-Source Heat Pump 6,998
Multifamily Heat Pump Ground-Source Heat Pump 4,378
Single-family Heat Pump Ground-Source Heat Pump 8,102
Manufactured Heat Pump—Cooling Ground-Source Heat Pump 1,101
Multifamily Heat Pump—Cooling Ground-Source Heat Pump 744
Single-family Heat Pump—Cooling Ground-Source Heat Pump 1,328
Manufactured Heat Pump—Heating Ground-Source Heat Pump 5,896
Multifamily Heat Pump—Heating Ground-Source Heat Pump 3,634
Single-family Heat Pump—Heating Ground-Source Heat Pump 6,775
Manufactured Cooling Central Air Conditioner 1,896
Multifamily Cooling Central Air Conditioner 1,282
Single-family Cooling Central Air Conditioner 2,290
Manufactured Heat Central Electric Furnace/Baseboard 12,725
Multifamily Heat Central Electric Furnace/Baseboard 8,561
Single-family Heat Central Electric Furnace/Baseboard 13,994
Manufactured Heat Central Heat Central Furnace 525
Multifamily Heat Central Heat Central Furnace 348
Single-family Heat Central Heat Central Furnace 603
Manufactured Heat Central Heat Central Boiler 672
Multifamily Heat Central Heat Central Boiler 541
Single-family Heat Central Heat Central Boiler 747
Table 40. Programmable Thermostat Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling (Peak kW) 0.00097871 0.00095662 0.00101125 0.001004888
Central Heat (Peak Therms) 0.00934793 0.00903212 0.00970261 0.009615235
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VARIABLE SOURCES:
Table 41. Programmable Thermostat Algorithm Sources
Algorithm Inputs Algorithm Sources
EQUIPusage Inferred from the 2011 Assessment of Potential.
SF
Based on engineering research. Cooling savings range from 2% to 9% in various TRMs and the retired ENERGY STAR Calculator. Assumes a conservative 3.5% savings. Heating savings range from 3% to 6.2% in various TRMs and the retired ENERGY STAR Calculator. Assumes a conservative 3.5% savings.
CF Inferred from the 2011 Assessment of Potential.
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HVAC: Room Air Conditioning
Measure Description Residential purchase of Split-System Central Air Conditioning.
Fuel Electric
End Use HVAC
Baseline Equipment Central Air Conditioner system compliant with federal standard; with a minimum SEER/EER of 13.0/11.2.
Efficiency Qualification
Room AC standard changes in 6/1/2014. IPL adopts mid-year code changes the first of the year following the change (e.g., the room AC change due 6/1/2014 would be implemented by IPL programs and TREES on 1/1/2015). All analysis and assumptions are based on the first of the year following the mid-year code change. For 2014 Program Year (federal standard effective October 2000 through June 1, 2014): -Room AC system that is ENERGY STAR. After 2014 Program Year (federal standard effective June 1, 2014): -Room AC system that is ENERGY STAR, rated in CEER. This new ENERGY STAR criteria rating had not been announced as of July 29, 2013. -Taking a 8,000-13,999 Btu unit, the new federal baseline for room AC will be roughly EER = 11 (CEER = 10.9), rendering the current ENERGY STAR measure with EER 10.8 to incur negative savings. -Recommend update to energy-efficiency program requirements for the 2015 program year. Update calculation workbook once new criteria becomes available.
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Efficiency (in EER and/or CEER). -Installation date.
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Room Air Conditioner—ENERGY STAR Before January 1, 2015
After January 1, 2015
Where: EERBase = Energy Efficiency Ratio federal baseline = See Table 42
EEREff = Energy Efficiency Ratio of new high-efficiency system = Range (9.4 to 12)*
CAPC = Capacity of cooling system in MBtuh (Tons x 12) = Range (5 to 28) EFLHC = Equivalent Full Load Hours of cooling = See Table 44
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Unit = Number of rebated units CEERBase = Combined Energy Efficiency Ratio federal baseline = See Table 43
CEEREff = Combined Energy Efficiency Ratio of new high-efficiency system
= Range (9.2 to 10.4)**
*Before January 1, 2015 ** After January 1, 2015 Federal Code Change
ANNUAL ENERGY-DEMAND ALGORITHM:
Demand Savings kW—Room Air Conditioner—ENERGY STAR
Where:
Annual kWh = Room AC cooling annual kWh savings = Calculated CF = Peak Coincidence Factor = See Table 45
ALGORITHM VARIABLES:
Table 42. Room AC Federal Baseline Energy Efficiency Ratio (Before January 1, 2015)
Room AC Type Capacity (MBtuh/Type) Federal Standard EER, With
Louvered Sides
Federal Standard EER, Without
Louvered Sides
Room AC without reverse cycle
< 6.0 9.7 9.0
6.0 to 7.99
8.0 to 13.99 9.8
8.5 14.0 to 19.99 9.7
≥ 20.0 8.5
Casement Room AC Casement-only 8.7
Casement-slider 9.5
Reverse Cycle Room AC
< 14.0 N/A 8.5
≥ 14.0 N/A 8.0
< 20.0 9.0 N/A
≥ 20.0 8.5 N/A
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Table 43. Room AC Federal Baseline Combined Energy Efficiency Ratio (After January 1, 2015)
Room AC Type Capacity (MBtuh/Type) Federal Standard CEER,
With Louvered Sides
Federal Standard CEER, Without Louvered Sides
Room AC without reverse cycle
< 6.0 11.0 10.0
6.0 to 7.99
8.0 to 13.99 10.9 9.6
14.0 to 19.99 10.7 9.3
20.0 to 24.99 9.4 9.4
≥ 20.0 9.0
Casement Room AC Casement-only 9.5
Casement-slider 10.4
Reverse Cycle Room AC
< 14.0 N/A 9.3
≥ 14.0 N/A 8.7
< 20.0 9.8 N/A
≥ 20.0 9.3 N/A
Table 44. Room AC EFLH of Cooling
Building Type Vintage* End Use Cooling Load Hours—EFLHc
Manufactured Existing Cool Central 292
Manufactured New Cool Central 292
Multifamily Existing Cool Central 292
Multifamily New Cool Central 292
Single-family Existing Cool Central 292
Single-family New Cool Central 292
Residential Residential Cool Central 292 * Vintage new construction refers to homes built during or after 2009; existing construction represents pre-2009 building construction.
Table 45. Room AC Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling 0.00097871 0.00095662 0.00101125 0.001004888
VARIABLE SOURCES:
Table 46. Room AC Algorithm Sources
Algorithm Inputs Algorithm Sources
EERBase Federal Standard, effective October 2000 through June 1, 2014.
EEREff Entered from application form or AHRI database. Range based on ENERGY STAR room air conditioners.
CEERBase Federal Standard, effective as of June 1, 2014.
CEEREff Entered from application form or AHRI database. Range based on ENERGY STAR room air conditioners.
CAPC Entered from application form or AHRI database. Range based on ENERGY STAR room air conditioners.
EFLHC Inferred from the 2011 Assessment of Potential.
CF Inferred from the 2011 Assessment of Potential.
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HVAC: Whole-House Fan
Measure Description A Whole-House Fan captures savings by reducing/eliminating the need for electric cooling. The fan runs when outside temperatures fall below the inside temperature.
Fuel Electric
End Use HVAC
Baseline Equipment Cooling system without a whole-house fan.
Efficiency Qualification Must be a whole-house measure (not an exhaust fan). New Installation.
Required Rebate Application Inputs
Cooling system type (CAC, ASHP, GSHP, room AC, none).
Market Opportunity New Installation
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Whole-House Fan—Cooling Systems
Where: UEScooling = Unit energy savings by building type = See Table 47
Unit = Number of rebated units = 1* * Assume one whole-house fan per application per home. Should not equal more than one per home. If more than one, review applications for exceptions.
Table 47. Unit Energy Savings (UES) Cooling by Building Type
Building Type Vintage End Use Energy Savings—UES (kWh)
Manufactured Existing Cooling 284
Manufactured New Cooling 155
Single-family Existing Cooling 343
Single-family New Cooling 197
ANNUAL ENERGY-DEMAND ALGORITHM:
VARIABLE SOURCES:
Table 48. Whole-House Fan Algorithm Sources
Algorithm Inputs Algorithm Sources
UEScooling Inferred from the 2011 Assessment of Potential, based on 15% savings of CAC/ASHP system from shoulder periods.
Assume this measure only offsets shoulder (non-peak) periods where standard AC systems will operate
during peak.
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Shell: Insulated Doors
Measure Description Residential purchase of a more energy-efficient door.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment A door compliant with federal code, with an R-value of 2.9.
Efficiency Qualification ENERGY STAR Door (R-4.8) or High-Efficiency Thermal Door (R-10).
Required Rebate Application Inputs
-Heating system type (gas furnace, ASHP, geothermal heat pump (GSHP), electric baseboard, electric furnace). -Cooling system type (CAC, ASHP, GSHP, none). -Door insulation level (R-value). -Installation date.
Market Opportunity Retrofit
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Insulated Door—ASHP
Where:
A = Area of the door in ft2 = 20 CDD = Cooling degree days = 1,289
24 = Number of hours per day = 24
SEERBase = Seasonal Energy Efficiency Ratio federal baseline = 13* 14**
1,000 = Conversion factor from watts to kilowatts = 1,000 HDD = Heating degree days = 6,595
HSPFBase = Heating Seasonal Performance Factor federal baseline = 7.7* 8.2**
RBase = R-value of baseline door = 2.9 REff = R-value of efficient door (ENERGY STAR door) = Range (4.8 to 9.9)
R-value of efficient door (thermal door) Range (≥ 10) Unit = Number of rebated units
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Insulated Door—GSHP
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Where: EERBase = Energy Efficiency Ratio of baseline efficiency system = 13.4 COPBase = Coefficient of Performance of baseline system = 3.1
3,412 = Conversion factor from Btuh to kWh = 3,412
Electric Savings kWh—Insulated Door—CAC
Electric Savings kWh—Insulated Door—Electric Baseboard/Furnace
Gas Savings Therms—Insulated Door—Furnace
Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline furnace = 78% 100,000 = Conversion factor from Btuh to therms = 100,000
Gas Savings Therms—Insulated Door—Boiler
Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline boiler = 82%
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Door—ASHP, GSHP, and CAC
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system = See Table 49 CF = Peak Coincidence Factor = See Table 50
Electric Demand Savings Peak kW—Door—Electric Baseboard/Furnace
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Gas Demand Savings Peak Therms—Door—Gas Furnace/Boiler
ALGORITHM VARIABLES:
Table 49. Energy Efficiency Ratio of Baseline Efficiency Systems
System EERBase
ASHP* 11.2
ASHP** 11.8
CAC 11.2
GSHP 13.4 *Before 1/1/2015 **After 1/1/2015 Federal Code Change
Table 50. Cooling and Central Heat Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling (Peak kW) 0.00097871 0.00095662 0.00101125 0.001004888
Central Heat (Peak Therms)
0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 51. Door Algorithm Sources
Algorithm Inputs Algorithm Sources
A Engineering judgment of standard, exterior door.
CDD TMY3 data for Des Moines, IA.
SEERBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HDD TMY3 data for Des Moines, IA.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
RBase International Energy Conservation Code (IECC) 2009 Fenestration U-Factor for Climate Zone 5, U-factor = 0.35.
EERBase IECC 2009 Table 503.2.3(2); Groundsource (cooling mode).
COPBase IECC 2009 Table 503.2.3(2); Groundsource (heating mode).
AFUEBase (Baseline furnace AFUE)
1987 National Standard (newer standards have failed to be enacted).
AFUEBase (Baseline boiler AFUE) Code of Federal Regulations, 10 CFR 430.32(c)(1).
CF Inferred from the 2011 Assessment of Potential.
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Water Heat: Desuperheater
Measure Description Residential add-on installation of a desuperheater to air-source or ground-source heat pump water heater.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment
Baseline tank size for storage water heater is 40 gallons. Water heater is compliant with water heater standard, U.S. Department of Energy (DOE) Standard 10 CFR 430.32(d). Code changes on 4/16/2015. IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change on 4/16/2015 will be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions are based on first of the year, following the mid-year code change. Installation date (not manufactured date) is assumed and used for IPL programs and TREES.
Efficiency Qualification Add-on Desuperheater to Air-Source Heat Pump; Add-on Desuperheater to Ground-Source Heat Pump.
Required Rebate Application Inputs
-Hot Water Heater Type (Electric, Gas Storage). -Installation Date.
Market Opportunity Retrofit
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Desuperheater with Electric Water Heater
Where:
UECperson = Annual unit energy consumption per person per home with electric water heating, in kWh/person
= 1,564.2* 1,513.4**
Nppl = Number of people per home with electric water heating = See Table 52 SF = Savings factor for Desuperheater = 19.0%
Unit = Number of rebated units *Before 1/1/2016 **After 1/1/2016 Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. All analysis and assumptions are based on first of the year following the mid-year code change.
Gas Savings Therms—Desuperheater with Gas Water Heater
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Where:
UECperson = Annual unit energy consumption per person, per home with electric water heating, in therms/person
= 82.4* 79.6**
Nppl = Number of people per home with gas water heating = See Table 53 SF = Savings factor for desuperheater = 19.0%
Unit = Number of rebated units *Before 1/1/2016 **After 1/1/2016 Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. All analysis and assumptions are based on first of the year following the mid-year code change.
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Desuperheater with Electric Water Heater
Where: Annual kWh = Electric water heater savings = Calculated
CF = Peak Coincidence Factor = See Table 54 Gas Demand Savings Peak Therms—Desuperheater with Gas Water Heater
Where:
Annual Heating Therms = Gas water heater savings = Calculated CF = Peak Coincidence Factor = See Table 54
ALGORITHM VARIABLES:
Table 52. Number of People Per Home With Electric Water Heating
Building Type End Use People per home
Manufactured Electric Water Heat 1.96
Multifamily Electric Water Heat 1.40
Single-family Electric Water Heat 2.12
Table 53. Number of People Per Home With Gas Water Heating
Building Type End Use People per home
Manufactured Gas Water Heat 2.05
Multifamily Gas Water Heat 1.48
Single-family Gas Water Heat 2.16
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Table 54. Water Heat Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Electric Water Heat 0.00009951 0.00009959 0.00009868 000098847
Gas Water Heat 0.00290826 0.00290604 0.00290983 0.002909472
VARIABLE SOURCES:
Table 55. Desuperheater Algorithm Sources
Algorithm Inputs Algorithm Sources
UECperson Calculated based on typical residential water heater operating parameters.
Nppl Average household size by building type and water heater fuel type, based on the data for the State of Iowa from 2007 RASS (Residential Appliance Saturation Study).
SF
Calculated based on information from Analysis of Air Conditioning Heat Recovery Units, Lawrence Berkeley National Laboratory (LBNL)-39383, Lawrence Berkeley National Laboratory. American Society of Heating and Air-Conditioning Engineers (ASHRAE) Chicago 1999 Desuperheater Impact, Monitored Desuperheater Performance in Residential Ground-Source Heat Pumps, Steven W. Carlson, P.E., CDH Energy Corp.
CF Inferred from the 2011 Assessment of Potential.
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Water Heat: Water Heater
Measure Description Residential purchase of an energy-efficient water heater.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment
Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change due 4/16/2015 will be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions are based on the first of the year following the mid-year code change. Installation date of the water heater (not manufactured date) is assumed and used for IPL programs and TREES. Baseline gas tankless water heater is 40 gallons.
Efficiency Qualification
-Gas Storage Water Heater with EF = 0.67 (same as ENERGY STAR criteria), minimum 40 gallons with maximum 75,000 Btu/hour. -Gas Tankless Water Heater with EF = 0.82 (same as ENERGY STAR criteria). -Electric Heat Pump Water Heater with EF = 2.0 (same as ENERGY STAR criteria), minimum 40 gallons.
Required Rebate Application Inputs
-Capacity (gallons). -Efficiency (EF). -Installation date.
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Heat Pump Water Heater
Where: Tout = Temperature of hot water exiting water heater = 126.5°F
Tmain = Temperature of ground water entering hot water heater = 56.5°F 23.0 = Gallons of hot water used per person per day = 23.0 Nppl = Number of people per home with electric water heating = See Table 56
8.33 = Conversion factor from gallons to pounds = 8.33 1 = Specific heat of water in Btu/lb*°F = 1
365 = Number of days per year = 365 3,412 = Conversion factor from Btu to kWh = 3,412
Ce1 = Constant used to calculate electric baseline energy factor = See Table 58 Ce2 = Constant used to calculate electric baseline energy factor = See Table 58
GAL = Capacity of electric water heater in gallons = Range (40 to 80) EFEff = Energy factor of efficient water heater = Range (2 to 2.5) Unit = Number of rebated units
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Gas Savings Therms—Gas Storage Water Heater
Where:
Nppl = Number of people with gas water heating = See Error! eference source not found.
100,000 = Conversion factor from Btu to therms = 100,000 Cg2 = Constant used to calculate gas baseline energy factor = See Table 58 Cg2 = Constant used to calculate gas baseline energy factor = See Table 58
GAL = Capacity of gas water heater in gallons = Range (40 to 75)
EFEff = Energy Factor of efficient gas water heater = Range (0.82 to 0.98)
*
Gas Savings Therms—Gas Tankless Water Heater
Where:
40 = Deemed hypothetical baseline storage tank volume for tankless water heater
= 40
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Heat Pump Water Heater
Where:
CF = Peak Coincidence Factor = See Table 59
Gas Savings Peak Therms—Gas Storage and Tankless Water Heater
Where: CF = Peak Coincidence Factor = See Table 59
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ALGORITHM VARIABLES:
Table 56. Number of People Per Home With Electric Water Heating
Building Type End Use People Per Home
Manufactured Electric Water Heat 1.96
Multifamily Electric Water Heat 1.40
Single-family Electric Water Heat 2.12
Table 57. Number of People Per Home With Gas Water Heating
Building Type End Use People Per Home
Manufactured Gas Water Heat 2.05
Multifamily Gas Water Heat 1.48
Single-family Gas Water Heat 2.16
Table 58. Constants Used for Baseline EF Calculation
Installation Date Capacity Ce1 Ce2 Cg1 Cg2
Before 1/1/16 ≥ 40 and ≤ 120 0.97 0.00132 0.67 0.0019
After 1/1/16 ≥ 40 and ≤ 55 0.96 0.0003 0.675 0.0015
After 1/1/16 > 55 and ≤ 120 2.057 0.00113 0.8012 0.00078
Table 59. Water Heat Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Electric Water Heat 0.00009951 0.00009959 0.00009868 000098847
Gas Water Heat 0.00290826 0.00290604 0.00290983 0.002909472
VARIABLE SOURCES:
Table 60. Water Heater Algorithm Sources
Algorithm Inputs Algorithm Sources
Tout CPUC Residential Retrofit—High Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
Tmains
Averaged monthly water main temperature calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20. http://www.nrel.gov/docs/fy10osti/47246.pdf; water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines, IA.
23.0 (Gallons of hot water used per person per day)
Averaged from various sources: New York Technical Resource Manual (NY TRM), American Council for an Energy-Efficient Economy (ACEEE), Ohio Technical Resource Manual (OH TRM), U.S. Environmental Protection Agency (EPA), and others.
EERBase 11.2 EER: Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff Entered from application form or AHRI database. Range based on AHRI database; highest EER listed is 18 as of August 2013.
GAL Range is based on ENERGY STAR-qualified list of water heaters (list posted 6/26/13).
EFEff Range is based on ENERGY STAR-qualified list of water heaters (list posted 6/26/13).
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Algorithm Inputs Algorithm Sources
Table 56. Number of People Per Home With Electric Water Heating
Average household size by building type and water heater fuel type based on the 2007 RASS.
Table 57. Number of People Per Home With Gas Water Heating
Average household size by building type and water heater fuel type based on the 2007 RASS.
Table 58. Constants Used for Baseline EF Calculation
Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change due 4/16/2015 will be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions are based on the first of the year following the mid-year code change. Installation date of the water heater (not manufactured date) is assumed and used for IPL programs and TREES.
Table 59. Water Heat Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Home Energy Assessments Program Table 61. Home Energy Assessments Program Overview
Eligible Customers
Basic Assessment and Comprehensive
Assessment
Electric Only Assessment
Insulation and Infiltration Measures
Bonus Rebate
Customer Class Residential electric and/or natural gas
Residential electric Residential electric and/or natural gas
Residential electric and/or natural gas
Customer Status
Non-low income; homeowner or tenant with owner approval
Non-low income; homeowner or tenant with owner approval
Non-low income; homeowner or tenant with owner approval
Non-low income; homeowner or tenant with owner approval
Building Type Single-family Single-family Single-family Single-family
Building Vintage
10 years or older 10 years or older 10 years or older 10 years or older
Geography IPL’s Iowa service territory
IPL’s Iowa service territory
IPL’s Iowa service territory
IPL’s Iowa service territory
Other Primary heating fuel delivered by IPL
Must have propane heat and CAC
Must have completed an assessment prior to installation; rebate based on assessment or recommendation
Must install two or more recommended measures; at least one installed measure must be in top three priority
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HVAC: Duct Sealing and Repair
Measure Description
Duct sealing and repair can: save energy; improve air and thermal distribution (comfort and ventilation); and reduce cross-contamination between different zones within buildings (e.g., smoking vs. non-smoking, bio-aerosols, localized indoor air pollutants).
Fuel Electric
End Use HVAC
Baseline Equipment Ducts requiring sealing and repair work.
Efficiency Qualification
-Duct sealing and repair with aerosol-based ductwork sealing (ADS), mastic, or other code compliant methods. -Home assessment or pre-installation assessment required. -Must be existing construction.
Required Rebate Application Inputs
-Linear foot of duct (in ft.). -Building type. -Heating system type (natural gas, heat pump, electric resistance). -Cooling system type (central ac, heat pump, none).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Duct Sealing and Repair
Where: SavingsPerUnit = Annual savings per linear foot depend on heating fuel
equipment, in kWh/ft or therms/ft = See Table 62
DuctLength = Linear foot of duct, in ft = (1 to 1,500) Electric Demand Savings Peak kW—Duct Sealing and Repair
Where:
Annual kWh = Annual kWh savings from duct sealing and repair = Calculated CF = Peak Coincidence Factor = See Table 63
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ALGORITHM VARIABLES:
Table 62. Annual Savings per Linear Foot of Infiltration Control
Building Type HVAC System Therms/ft—SavingsPerUnit
Manufactured Heat Central Furnace 0.52
Multifamily Heat Central Furnace 0.38
Single-family Heat Central Furnace 0.42
Building Type HVAC System kWh/ft—SavingsPerUnit
Manufactured Cool Central 1.89
Multifamily Cool Central 1.39
Single-family Cool Central 1.61
Manufactured Heat Central 12.69
Multifamily Heat Central 9.31
Single-family Heat Central 9.85
Manufactured Heat Pump 12.01
Multifamily Heat Pump 8.21
Single-family Heat Pump 9.84
Manufactured Heat Pump—Cooling 1.89
Multifamily Heat Pump—Cooling 1.39
Single-family Heat Pump—Cooling 1.61
Manufactured Heat Pump—Heating 10.12
Multifamily Heat Pump—Heating 6.82
Single-family Heat Pump—Heating 8.22
Table 63. Peak Coincidence Factor
Manufactured Multifamily Single-family All Residential
0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 64. Duct Sealing and Repair Algorithm Sources
Algorithm Inputs Algorithm Sources
DuctLength Entered from application form.
Table 62. Annual Savings per Linear Foot of Infiltration Control
Inferred from 2011 Assessment of Potential. ENERGY STAR: up to 20%; assumed 10% for average savings percent, based on ENERGY STAR range of potential savings per home. Benefits of Duct Sealing: http://www.energystar.gov/index.cfm?c=home_improvement.hm_improvement_ducts_benefits
Table 63. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Programmable Thermostat
Measure Description A programmable thermostat controls setpoint temperatures automatically, ensuring HVAC systems do not run during low-occupancy hours.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Manual thermostat without a programmable feature.
Efficiency Qualification Existing home, only with setback programmable thermostat (5-1-1, 5-2, or 7-day).
Required Rebate Application Inputs
Existing HVAC equipment (heating system and cooling system).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Programmable Thermostat
Where:
UESElectric = Unit Electric Energy Savings by end-use equipment type = See Table 65 UESGas = Unit Gas Energy Savings by end-use equipment type = See Table 65
Unit = Number of units installed Electric/Natural Gas Demand Savings Peak kW/Therms—Programmable Thermostat
Where:
UDSCFElectric = Peak Coincidence Factor x Unit Demand Savings; central air conditioner and air source heat pumps peak demand savings by end-use equipment type
= See Table 66
UDSCFGas = Peak Coincidence Factor x Unit Demand Savings; gas equipment peak demand savings by end-use equipment type
= See Table 66
Unit = Number of units installed ALGORITHM VARIABLES:
Table 65. UES by End-use Equipment Type
Building Type Vintage End Use End-use Equipment UESElectric
(kWh/year)
Manufactured Existing Cooling Central Air Conditioner 66
Multifamily Existing Cooling Central Air Conditioner 45
Single-family Existing Cooling Central Air Conditioner 80
Manufactured Existing Heat Central Electric Furnace and Electric Baseboard 445
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Building Type Vintage End Use End-use Equipment UESElectric
(kWh/year)
Multifamily Existing Heat Central Electric Furnace and Electric Baseboard 300
Single-family Existing Heat Central Electric Furnace and Electric Baseboard 490
Manufactured Existing Heat Pump Air Source Heat Pump 422
Multifamily Existing Heat Pump Air Source Heat Pump 264
Single-family Existing Heat Pump Air Source Heat Pump 489
Manufactured Existing Heat Pump—Cooling Air Source Heat Pump 66
Multifamily Existing Heat Pump—Cooling Air Source Heat Pump 45
Single-family Existing Heat Pump—Cooling Air Source Heat Pump 80
Manufactured Existing Heat Pump—Heating Air Source Heat Pump 355
Multifamily Existing Heat Pump—Heating Air Source Heat Pump 219
Single-family Existing Heat Pump—Heating Air Source Heat Pump 409
Manufactured Existing Heat Pump Ground Source Heat Pump 245
Multifamily Existing Heat Pump Ground Source Heat Pump 153
Single-family Existing Heat Pump Ground Source Heat Pump 284
Manufactured Existing Heat Pump—Cooling Ground Source Heat Pump 39
Multifamily Existing Heat Pump—Cooling Ground Source Heat Pump 26
Single-family Existing Heat Pump—Cooling Ground Source Heat Pump 46
Manufactured Existing Heat Pump—Heating Ground Source Heat Pump 206
Multifamily Existing Heat Pump—Heating Ground Source Heat Pump 127
Single-family Existing Heat Pump—Heating Ground Source Heat Pump 237
Building Type Vintage Existing End-use Equipment UESGas
(Therms/year)
Manufactured Existing Central Heat Heat Central Furnace 18
Multifamily Existing Central Heat Heat Central Furnace 12
Single-family Existing Central Heat Heat Central Furnace 21
Manufactured Existing Central Heat Heat Central Boiler 24
Multifamily Existing Central Heat Heat Central Boiler 19
Single-family Existing Central Heat Heat Central Boiler 26
Table 66. Peak Coincidence Factor x Unit Demand Savings, by Equipment Type
Building Type Vintage End Use End-use Equipment UDSCFElectric
(kW)
Manufactured Existing Cooling Central Air Conditioner 0.0649
Multifamily Existing Cooling Central Air Conditioner 0.0429
Single-family Existing Cooling Central Air Conditioner 0.0810
Manufactured Existing Heat Central Electric Furnace and Electric Baseboard 0.0000
Multifamily Existing Heat Central Electric Furnace and Electric Baseboard 0.0000
Single-family Existing Heat Central Electric Furnace and Electric Baseboard 0.0000
Manufactured Existing Heat Pump Air Source Heat Pump 0.0649
Multifamily Existing Heat Pump Air Source Heat Pump 0.0429
Single-family Existing Heat Pump Air Source Heat Pump 0.0810
Manufactured Existing Heat Pump—Cooling Air Source Heat Pump 0.0649
Multifamily Existing Heat Pump—Cooling Air Source Heat Pump 0.0429
Single-family Existing Heat Pump—Cooling Air Source Heat Pump 0.0810
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Building Type Vintage End Use End-use Equipment UDSCFElectric
(kW)
Manufactured Existing Heat Pump—Heating Air Source Heat Pump 0.0000
Multifamily Existing Heat Pump—Heating Air Source Heat Pump 0.0000
Single-family Existing Heat Pump—Heating Air Source Heat Pump 0.0000
Manufactured Existing Heat Pump Ground Source Heat Pump 0.0423
Multifamily Existing Heat Pump Ground Source Heat Pump 0.0243
Single-family Existing Heat Pump Ground Source Heat Pump 0.0507
Manufactured Existing Heat Pump—Cooling Ground Source Heat Pump 0.0423
Multifamily Existing Heat Pump—Cooling Ground Source Heat Pump 0.0243
Single-family Existing Heat Pump—Cooling Ground Source Heat Pump 0.0507
Manufactured Existing Heat Pump—Heating Ground Source Heat Pump 0.0000
Multifamily Existing Heat Pump—Heating Ground Source Heat Pump 0.0000
Single-family Existing Heat Pump—Heating Ground Source Heat Pump 0.0000
Building Type Vintage Existing End-use Equipment UDSCFGas
(Peak Therms)
Manufactured Existing Central Heat Heat Central Furnace 0.17162
Multifamily Existing Central Heat Heat Central Furnace 0.10993
Single-family Existing Central Heat Heat Central Furnace 0.20491
Manufactured Existing Central Heat Heat Central Boiler 0.21975
Multifamily Existing Central Heat Heat Central Boiler 0.17093
Single-family Existing Central Heat Heat Central Boiler 0.25370
VARIABLE SOURCES:
Table 67. Programmable Thermostat Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 65. UES by End-use Equipment Type
Calculated using average heating system consumption and the savings factor (percentage values). Cooling savings factors and heating savings factors were determined based on engineering research. Heating savings ranged from 3% to 6.2% in various TRMs and the retired ENERGY STAR Calculator. Cooling savings ranged from 2% to 9% in various TRMs and the retired ENERGY STAR Calculator. Conservative savings of 3.5% were assumed for both. Peak Demand CF values, derived from the 2011 Assessment of Potential, and were incorporated into the calculations.
Table 66. Peak Coincidence Factor x Unit Demand Savings, by Equipment Type
Units Entered from application form.
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Lighting: CFLs
Measure Description Savings are captured by installing compact fluorescent lamps (CFL) that require less power than incandescent lamps
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent lamps
Efficiency Qualification -Qualified CFLs -Direct install of 13 and 23 wattage CFLs
Required Rebate Application Inputs
-Efficient lamp quantity -Hours of use or building type group
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—CFL Lamps
Where: CFLSavings = Average annual unit energy savings by lamp type = See Table 68
Units = Number of efficient lamps Electric Demand Savings Peak kW—CFL Lamps
Where:
Annual kWh = Annual kWh savings from CFL lamps CF = Peak Coincidence Factor = See Table 69
ALGORITHM VARIABLES:
Table 68. CFL Energy Savings
CFL Lamp Type CFL Energy Savings [kWh/year/lamp]
CFL Lamp - 14W A-FRAME A19 28.57
CFL Lamp - Flood R30 16W, 15 W /ELXR30/27K 48.27
CFL Lamp - 19W CFL Standard Spiral 33.49
CFL Lamp - GLOBE CFL 15W/G28 27.58
CFL Lamp - 3 Way CFL 13/20/25W 54.18
CFL Lamp - 32W CFL High Watt 39.40
CFL Lamp - R20/14W Reflector 28.57
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Table 69. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Lighting 0.00006793 0.00006782 0.00006766 0.00006769
VARIABLE SOURCES:
Table 70. CFLs Algorithm Sources
Algorithm Inputs Algorithm Sources
CFLSavings
Analysis based on baseline assumptions of EISA compliant bulbs of lumen equivalent to the CFL bulb. Hours based on WECC assumptions from 2014 Be-Bright program based on WECC documentation provided to IPL on 12/24/2013 - "IA Savings Table_2013" (Updated for 2014).
Units Entered from application form.
Table 69. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Plug Load: Advanced Power Strips
Measure Description
Savings are captured by load sensing advanced power strips (APS) also known as smart strips. Smart strips typically have one master or controller outlet, several controlled or switched outlets, and one or two uncontrolled or always-on outlets. The controlled outlets will automatically stop drawing power when the homeowner turns off the controller device. This creates energy savings by reducing the power draw from the controlled devices’ standby mode.
Fuel Electric
End Use Plug Load
Baseline Equipment Standard power strips
Efficiency Qualification Qualified 4 to 8-plug advanced power strips
Required Rebate Application Inputs
-Number of advanced power strips -Application for advanced power strips: home office or home entertainment system
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Advanced Power Strips
Where: APSSavings = Average annual unit energy savings by type = See Table 71
Units = Number of power strips Electric Demand Savings Peak kW— Advanced Power Strips
Where:
Annual kWh = Annual kWh savings from CFL lamps CF = Peak Coincidence Factor = See Table 72
ALGORITHM VARIABLES:
Table 71. Annual Energy Savings from Advanced Power Strips for Different Connected Systems
Average [kWh/yr/APS] Home Office [kWh/yr/APS] Home Entertainment System
[kWh/yr/APS]
57.5 31.0 75.1
Table 72. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Plug Load 0.00011478 0.00011418 0.00011425 0.000114274
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VARIABLE SOURCES:
Table 73. Advanced Power Strips Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 71. Annual
Energy Savings from
Advanced Power
Strips for Different
Connected Systems
This measure includes large variability in savings. Cadmus research (as shown in the benchmarking table below) of various sources found large range in savings. Research concluded that the 2011 NYSERDA final report is the most comprehensive and is used for the SBDI savings. NYSERDA Final Report. Advanced Power Strip Research Report. No. 12-03. August 2011
Table 72. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Floor Insulation
Measure Description Floor insulation slows the transfer of heat and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment An inadequately insulated floor (R-value of 2.7) in addition to a bare roof (with the construction R-value of 2.7).
Efficiency Qualification -Floor insulation minimum R-value of 30 or max fill. -Residential assessment or pre-installation assessment required roof insulation minimum R-value of 20 or max fill.
Required Rebate Application Inputs
-Floor insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Floor Insulation—Electric Resistance Space Heat
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 2,949 24 = Number of hours in a day = 24
COPBase = Coefficient of Performance of space heating system = 1.0 3,412 = Conversion factor from Btu to therms = 3,412 RInitial = R-value of initial floor insulation = 2.7
RConstruction = R-value of bare construction roof = 2.7 RFinal = R-value of new floor insulation = (20 to 60)
Electric Heating Savings kWh—Floor Insulation—Air Source Heat Pump
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 2,949 24 = Number of hours in a day = 24
HSPFBase = Heating Seasonal Performance Factor of ASHP = 7.7* = 8.2**
3,412 = Conversion factor from Btu to therms = 3,412 RInitial = R-value of initial floor insulation = 2.7
RConstruction = R-value of bare construction roof = 2.7 RFinal = R-value of new floor insulation = (20 to 60)
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*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Heating Savings kWh—Floor Insulation—Geothermal Heat Pump
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 2,949 24 = Number of hours in a day = 24
COPBase = Coefficient of Performance of geothermal heat pump = 3.1 3,412 = Conversion factor from Btu to therms = 3,412 RInitial = R-value of initial floor insulation = 2.7
RConstruction = R-value of bare construction roof = 2.7 RFinal = R-value of new floor insulation = (20 to 60)
Natural Gas Savings Therms—Floor Insulation
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 2,949 24 = Number of hours in a day = 24
AFUEBase = Annual Fuel Utilization Efficiency of space heating system = 82% (Boiler) = 78% (Furnace)
100,000 = Conversion factor from Btu to therms = 100,000 RInitial = R-value of initial floor insulation = 2.7
RConstruction = R-value of bare construction roof = 2.7 RFinal = R-value of new floor insulation = (20 to 60)
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Floor Insulation
Where: Annual Therms = Annual therms savings from floor insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 74 Electric Demand Heating Savings Peak kW—Floor Insulation—Electric Resistance Space Heat/Air Source Heat Pump/Geothermal Source Heat Pump
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ALGORITHM VARIABLES:
Table 74. Peak Coincidence Factor
Manufactured Multifamily Single-family Residential
0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 75. Floor Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDDBasement
Assuming floor applications primarily interact with ground and basement temperatures. Used a ground-basement HDD Adjustment Factor Calculation. Based on a ground temperature of 53 degrees. TMY3 weather data for the weather station at Des Moines International Airport.
Rinitial Assumed to be similar to wall initial insulation. Based on the recorded 2011 existing R-values, calculated using the average of IPL/Alliant program rebate data of 2011 participants.
Rconstruction Based on building simulations model assumptions and engineering calculations using the parallel path heat transfer theory. With reference to ColoradoENERGY.org: http://www.coloradoenergy.org/procorner/stuff/r-values.htm
RFinal Entered from application form.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3); after January 1, 2015, the baseline HSPF changes to 8.2.
COPBase COP = 1.0 assumed for an electric forced air furnace (FAF).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 74 Inferred from the 2011 Assessment of Potential.
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Shell: Foundation/Basement Wall Insulation
Measure Description Basement and foundation wall (including rim joist) insulation slows the transfer of heat and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment An inadequately insulated foundation/basement wall (R-value of 0) in addition to a bare wall (with the construction R-value of 5.0).
Efficiency Qualification
-Basement/basement/rim joists insulation minimum R-value of 15/19 "15/19" means: R-15 continuous insulated sheathing on the interior or exterior of the home; or R-19 cavity insulation at the interior of the basement wall. -15/19 meets with R-13 cavity insulation on the interior of the basement wall, plus R-5 continuous insulated sheathing on the interior or exterior of the home. -Residential assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Basement insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Foundation/Basement Insulation—Electric Resistance Space Heat
Where: Sqft = Square footage of foundation/basement wall area
HDD = Below ground HDDs = 4,178 24 = Number of hours in a day = 24
COPBase = Coefficient of Performance of baseline FAF system = 1.0 3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial foundation/basement wall insulation = 0.0
RConstruction = R-value of bare construction foundation/basement wall = 5.0 RFinal = R-value of new foundation/basement wall insulation = (15 to 30)
Electric Heating Savings kWh—Foundation/Basement Insulation—Geothermal Heat Pump
Where: Sqft = Square footage of foundation/basement wall area
HDD = Below ground HDDs = 4,178 24 = Number of hours in a day = 24
COPBase = Coefficient of Performance of baseline FAF system = 3.1
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3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial foundation/basement wall insulation = 0.0
RConstruction = R-value of bare construction foundation/basement wall = 5.0 RFinal = R-value of new foundation/basement wall insulation = (15 to 30)
Electric Heating Savings kWh—Foundation/Basement Insulation—Air Source Heat Pump
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 4,178 24 = Number of hours in a day = 24
HSPFBase = Heating Seasonal Performance Factor of ASHP = 7.7* = 8.2**
3,412 = Conversion factor from Btu to therms = 3,412 RInitial = R-value of initial floor insulation = 0.0
RConstruction = R-value of bare construction roof = 5.0 RFinal = R-value of new floor insulation = (15 to 30)
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Natural Gas Savings Therms—Foundation/Basement Insulation
Where: Sqft = Square footage of insulation area
HDDBasement = Equivalent to basement-ground HDDs = 2,949 24 = Number of hours in a day = 24
AFUEBase = Annual Fuel Utilization Efficiency of space heating system = 82% (Boiler) = 78% (Furnace)
100,000 = Conversion factor from Btu to therms = 100,000 RInitial = R-value of initial floor insulation = 0.0
RConstruction = R-value of bare construction roof = 5.0 RFinal = R-value of new floor insulation = (15 to 30)
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Foundation/Basement Insulation
Where: Annual Therms = Annual therms savings from foundation/basement wall
insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 76
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Electric Demand Heating Savings Peak kW—Foundation/Basement Insulation—Electric Resistance Space Heat/Air Source Heat Pump/Geothermal Source Heat Pump
ALGORITHM VARIABLES:
Table 76. Peak Coincidence Factor
Manufactured Multifamily Single-family Residential
0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 77. Foundation/Basement Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDDBasement
Assuming floor applications interact with primarily ground and basement temperatures. Used a ground-basement HDD adjustment factor calculation. Based on a ground temperature of 53 degrees. TMY3 weather data for the weather station at Des Moines International Airport.
Rinitial Assume d an existing basement wall had no existing insulation.
Rconstruction
Assumed a conditioned basement with existing drywall construction. Based on building simulations model assumptions and engineering calculations using the parallel path heat transfer theory. With reference to: http://www.coloradoenergy.org/procorner/stuff/r-values.htm
RFinal Entered from application form.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3); after January 1, 2015, the baseline HSPF changes to 8.2.
COPBase COP = 1.0 assumed for an electric FAF.
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 76. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Infiltration Control
Measure Description Sealing air leaks in windows, doors, roof, crawlspaces, and outside walls decreases overall heating and cooling losses.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment A house with poor infiltration control.
Efficiency Qualification Effective sealing air leaks to reduce infiltration.
Required Rebate Application Inputs
-Building size (in ft2).
-Building type. -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Infiltration Control
Where:
SavingsPerUnit = Annual savings per square foot depends on heating fuel equipment, in kWh/ft2 or therms/ft2
= Table 78
SqFt = Building square feet = (100 to 10,000) Electric/Natural Gas Demand Savings Peak kW/Therms—Infiltration Control
Where:
Annual kWh = Annual kWh savings from infiltration control = Calculated Annual Therms = Annual therms savings from infiltration control = Calculated
CF = Peak Coincidence Factor = See Table 79 ALGORITHM VARIABLES:
Table 78. Annual Savings of Infiltration Control per Building Square Foot
Building Type HVAC System Therms/ft—SavingsPerUnit
Manufactured Gas Boiler 0.044
Multifamily Gas Boiler 0.036
Single-family Gas Boiler 0.033
Manufactured Gas Furnace 0.034
Multifamily Gas Furnace 0.023
Single-family Gas Furnace 0.027
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Building Type HVAC System kWh/ft—SavingsPerUnit
Manufactured Central Air Conditioner 0.123
Multifamily Central Air Conditioner 0.085
Single-family Central Air Conditioner 0.101
Manufactured Electric Furnace/Resistance Space Heat 0.826
Multifamily Electric Furnace/Resistance Space Heat 0.569
Single-family Electric Furnace/Resistance Space Heat 0.616
Manufactured Air Source Heat Pump 0.782
Multifamily Air Source Heat Pump 0.502
Single-family Air Source Heat Pump 0.615
Manufactured Air Source Heat Pump—Cooling 0.123
Multifamily Air Source Heat Pump—Cooling 0.085
Single-family Air Source Heat Pump—Cooling 0.101
Manufactured Air Source Heat Pump—Heating 0.659
Multifamily Air Source Heat Pump—Heating 0.417
Single-family Air Source Heat Pump—Heating 0.514
Table 79. Peak Coincidence Factor
Manufactured Multifamily Single-family All Residential
0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 80. Infiltration Control Algorithm Sources
Algorithm Inputs Algorithm Sources
DuctLength Entered from application form.
Table 78. Annual Savings of Infiltration Control per Building Square Foot
Estimated from the 2011 Assessment of Potential. Based on building simulations for an existing single-family home. Baseline infiltration of 10ACH50 going to 7ACH50, resulting in 5%–10% savings. Savings of 7.5% was applied to HVAC end uses, resulting in savings per square foot by building type, fuel type, and end use.
Table 79. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Roof Insulation
Measure Description Roof insulation slows the transfer of heat and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment An inadequately insulated roof (R-value of 15.1) in addition to a bare roof (with the construction R-value of 5.0).
Efficiency Qualification -Roof insulation minimum R-value of 49 or max fill. -Residential assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Roof insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Roof Insulation—Electric Resistance Space Heating
Where: Sqft = Square footage of roof area
HDD = HDDs at 65°F = 6,595 24 = Number of hours in a day = 24
COPBase = Coefficient of Performance of baseline FAF system = 1.0 3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial roof insulation = 15.1
RConstruction = R-value of bare construction roof = 5.0 RFinal = R-value of new roof insulation = (30 to 70)
Electric Cooling Savings kWh - Roof Insulation—Central Air Conditioning
Where: CDD = CDDs at 65°F = 1,289
SEERBase = Seasonal Energy Efficiency Ratio of CAC = 13.0 1,000 = Conversion factor from Watts to kW = 1,000
Electric Savings kWh—Roof Insulation—Air Source Heat Pump
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Where: SEERBase = Seasonal Energy Efficiency Ratio of ASHP = 13*
14** HSPFBase = Heating Seasonal Performance Factor federal baseline = 7.7*
8.2** *Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Roof Insulation—Geothermal Heat Pump
Where: EERBase = Energy Efficiency Ratio of baseline efficiency system = 13.4 COPBase = Coefficient of Performance of heat pump system = 3.1
Natural Gas Savings Therms—Roof Insulation—Gas Boiler/Furnace Space Heating
Where: AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82%
Furnace: 78% 100,000 = Conversion factor from Btu to therms
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Roof Insulation—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from roof insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 81
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Electric Demand Savings Peak kW—Roof Insulation—Air Source Heat Pump, Geothermal Source Heat Pump and Air Conditioning System
*Calculate EERBase using the formula above if efficiency is given in SEER.
Where:
CF = Peak Electric Coincidence Factor = See Table 81 Electric Demand Heating Savings Peak kW—Roof Insulation—Electric Resistance Space Heating
ALGORITHM VARIABLES:
Table 81. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling (Electric) 0.00097871 0.00095662 0.00101125 0.001004888
Central Heat (Gas) 0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 82. Roof Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDD TMY3 weather data for the weather station at Des Moines International Airport.
CDD TMY3 weather data for the weather station at Des Moines International Airport.
RInitial Calculated from IPL/Alliant program rebate data.
RConstruction Source: PA TRM 2013, pg. 90. Uninsulated attic ceiling.
RFinal Entered from application form.
EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
SEERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1); after January 1, 2015, the baseline SEER changes to 14.0.
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 81. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Wall Insulation
Measure Description Wall insulation slows the transfer of heat and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment An inadequately insulated wall (R-value of 2.7) in addition to a bare roof (with the construction R-value of 3.0).
Efficiency Qualification -Wall insulation minimum R-value of 13.0 or max fill. -Residential assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Wall insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Wall Insulation—Electric Resistance Space Heating
Where: Sqft = Square footage of roof area
HDD = HDDs at 65°F = 6595 24 = Number of hours in a day = 24
3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial wall insulation = 2.7
RConstruction = R-value of bare construction roof = 3.0 RFinal = R-value of new wall insulation = (9 to 30)
Electric Cooling Savings kWh—Wall Insulation—Central Air Conditioning
Where: CDD = CDDs at 65°F = 1,289
SEERBase = Seasonal Energy Efficiency Ratio of CAC = 13.0 1,000 = Conversion factor from watts to kW = 1,000
Electric Savings kWh—Wall Insulation—Air Source Heat Pump
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Where: SEERBase = Seasonal Energy Efficiency Ratio of ASHP = 13*
14** HSPFBase = Heating Seasonal Performance Factor federal baseline = 7.7*
8.2** *Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Wall Insulation—Geothermal Heat Pump
Where: EERBase = Energy Efficiency Ratio of baseline efficiency system = 13.4 COPBase = Coefficient of Performance of heat pump system = 3.1
Natural Gas Savings Therms—Wall Insulation—Gas Boiler/Furnace Space Heating
Where:
AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82% Furnace: 78%
100,000 = Conversion factor from Btu to therms ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Wall Insulation—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from wall insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 83 Electric Demand Savings Peak kW—Wall Insulation—Air Source Heat Pump, Geothermal Source Heat Pump and Air Conditioning System
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*Calculate EERBase using the formula above if efficiency is given in SEER.
Where:
CF = Peak Electric Coincidence Factor = See Table 72 Electric Demand Heating Savings Peak kW - Wall Insulation - Electric Resistance Space Heating
ALGORITHM VARIABLES:
Table 83. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Cooling (Electric) 0.00097871 0.00095662 0.00101125 0.001004888
Central Heat (Gas) 0.00934793 0.00903212 0.00970261 0.009615235
VARIABLE SOURCES:
Table 84. Wall Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDD TMY3 weather data for the weather station at Des Moines International Airport.
CDD TMY3 weather data for the weather station at Des Moines Intl Airport.
RInitial Calculated from IPL/Alliant program rebate data.
RConstruction Source: PA TRM 2013, pg. 90. Uninsulated attic ceiling.
RFinal Entered from application form.
EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
SEERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1); after January 1, 2015, the baseline SEER changes to 14.0.
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 83. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Faucet Aerator
Measure Description
A faucet aerator can be attached to the faucet head to aerate the water stream while lowering the flow rate, without altering the perceived water pressure. This reduces hot water demand and consequently reduces the energy required to heat the water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard faucet without faucet aerator (2.2 gallons per minute [GPM]).
Efficiency Qualification Low-flow faucet aerator (1.5 GPM).
Required Rebate Application Inputs
Number of faucet aerators installed.
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Faucet Aerator
Where: ElectricSavingsPerUnit = Annual kWh savings per faucet aerator = See Table 85
GasSavingsPerUnit = Annual therms savings per faucet aerator = See Table 85 Units = Number of low-flow faucet aerators installed
Electric/Natural Gas Demand Savings Peak kW/Therms—Faucet Aerator
Where:
Annual kWh = Annual kWh savings from a faucet aerator = Calculated Annual Therms = Annual therms savings from a faucet aerator = Calculated
CF = Peak Coincidence Factor = See Table 86 ALGORITHM VARIABLES:
Table 85. Per-Unit Electric and Gas Savings from Faucet Aerators
End Use Faucet Type GasSavings
[Therms/unit/yr] ElectricSavings [kWh/unit/yr]
Gas Water Heater Bathroom 1.4 30.3
Gas Water Heater Kitchen 9.6 209.1
Gas Water Heater Weighted Average 2.8 60.5
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Table 86. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Water Heat (Gas) 0.00290826 0.00290604 0.00290983 0.002909472
Water Heat (Electric) 0.00009951 0.00009959 0.00009868 0.00009885
VARIABLE SOURCES:
Table 87. Faucet Aerator Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerUnit Calculated using algorithm found in PA Technical Reference Manual 2013, pg. 42.
GasSavingsPerUnit Calculated using algorithm found in PA Technical Reference Manual 2013, pg. 42).
Units Entered from application form.
Table 86. Peak Coincidence Factor Inferred from the 2011 Assessment of Potential.
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Water Heat: Low-Flow Showerhead
Measure Description A low-flow showerhead reduces the flow rate of the showerhead fixture. This reduces hot water demand and consequently reduces the energy required to heat water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard showerhead (2.5 GPM).
Efficiency Qualification Low-flow showerhead (1.5 GPM).
Required Rebate Application Inputs
Number of low-flow showerheads installed.
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Low-Flow Showerhead
Where: ElectricSavingsPerUnit = Annual kWh savings per low-flow showerhead = 279.33
GasSavingsPerUnit = Annual therms savings per low-flow showerhead = 12.76 Units = Number of low-flow showerheads installed
Electric/Natural Gas Demand Savings Peak kW/Therms—Low-Flow Showerhead
Where:
Annual kWh = Annual kWh savings from a low-flow showerhead = Calculated Annual Therms = Annual therms savings from a low-flow showerhead = Calculated
CF = Peak Coincidence Factor = See Table 88 ALGORITHM VARIABLES:
Table 88. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Water Heat (Gas) 0.00290826 0.00290604 0.00290983 0.002909472
Water Heat (Electric) 0.00009951 0.00009959 0.00009868 0.00009885
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VARIABLE SOURCES:
Table 89. Low-Flow Showerhead Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerUnit Calculated using algorithm found in PA Technical Reference Manual 2013, pg. 42.
GasSavingsPerUnit Calculated using algorithm found in PA Technical Reference Manual 2013, pg. 42).
Units Entered from application form.
Table 88. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Water Heater Pipe Insulation
Measure Description Water heater pipe insulation reduces heat loss from pipes, increasing efficiency and reducing the amount of required heating energy.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater pipe without insulation.
Efficiency Qualification Insulation increases the R-Value from below code (bare pipe) to R-6.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Residential
Program Home Energy Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Water Heater Pipe Insulation
Where: ElectricSavingsPerInstall = Annual kWh savings per low-flow showerhead = 61.18
GasSavingsPerInstall = Annual therms savings per low-flow showerhead = 2.67 Electric/Natural Gas Demand Savings Peak kW/Therms—Water Heater Pipe Insulation
Where:
Annual kWh = Annual kWh savings from water heater pipe insulation = 61.18 Annual Therms = Annual therms savings from water heater pipe insulation = 2.67
CF = Peak Coincidence Factor = See Table 90 ALGORITHM VARIABLES:
Table 90. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Water Heat (Gas) 0.00290826 0.00290604 0.00290983 0.002909472
Water Heat (Electric) 0.00009951 0.00009959 0.00009868 0.00009885
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VARIABLE SOURCES:
Table 91. Water Heater Pipe Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerInstall Temperatures were averaged into 3-foot increments, and ran through the 3E Plus v4.0 to determine heat loss: http://www.pipeinsulation.org/ Runs were completed for horizontal and vertical and for each ambient air temperature. With reference to ASHRAE Fund 2009, Table 23.16 for copper heat loss tables, data from 3E Plus were weight-averaged into three savings estimates: for conditioned space (winter, summer) and unconditioned space.
GasSavingsPerInstall
Table 90. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Water Heater Temperature Setback
Measure Description
Thermostat setbacks for water heaters achieve behavioral changes of setting water heater temperatures to a lower set temperature of 120 degrees. End-use savings are realized when end-use set temperatures equal or exceed the water heater thermostat set temperature.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater set temperature of 126.5 degrees.
Efficiency Qualification Water heater temperature turned down to 120 degrees.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Behavioral Change
Sector(s) Residential
Program Home Energy Assessment
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Temperature Setback
Where: ElectricSavingsPerInstall = Annual kWh savings from water heater temperature
setbacks for electric storage water heaters = 116.55
GasSavingsPerInstall = Annual therms savings from water heater temperature setbacks for gas storage water heaters
= 6.41
Units = Number of units with water heater temperatures turned down
ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Water Heater Temperature Setback
Where:
CF = Peak Coincidence Factor = See Table 92
ALGORITHM VARIABLES:
Table 92. Peak Coincidence Factor
End Use Manufactured Multifamily Single-family Residential
Water Heat (Gas) 0.00290826 0.00290604 0.00290983 0.002909472
Water Heat (Electric) 0.00009951 0.00009959 0.00009868 0.00009885
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VARIABLE SOURCES:
Table 93. Water Heater Temperature Setback Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerUnit
Savings percentage values were averaged from the following state TRMs and applied to the typical energy use of a water heater with a baseline set temperature of 126.5 degrees. -Efficiency Vermont Technical Reference User Manual, pg.405: http://www.greenmountainpower.com/upload/photos/371371TRM_User_Manual_No_2013-82-5-protected.pdf -Efficiency Maine Residential Technical Reference Manual, pg.24: http://www.efficiencymaine.com/docs/EMT-TRM_Residential_v2014-1.pdf -Massachusetts Technical Reference Manual PY 2013-2015, pg.317: http://www.ma-eeac.org/Docs/8.3_TRMs/1MATRM_2013-15%20PLAN_FINAL.pdf
GasSavingsPerUnit
Table 92. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Be-Bright Program Table 94. Be-Bright Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class All – Customer Status All – Building Type All – Building Vintage All – Geography IPL’s Iowa service territory –
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Compact Fluorescent Light (CFL)
Measure Description
Be-Bright is an upstream program, with IPL providing incentives directly to lighting manufacturers to reduce the purchase costs of ENERGY STAR-rated, high-efficiency lighting products at participating retailer locations. The section of the program seeks to replace standard light bulbs with efficient-wattage CFLs.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent bulbs; baseline wattage varies depending on the CFL wattage range.
Efficiency Qualification
An implementation contractor (WECC) manages the Be-Bright Program; its services include: negotiating bulk pricing, recruitment, coordinating with retail stores, marketing and outreach to retailers, and tracking and providing program reports. WECC works with a broad range of retailers, including big-box stores and smaller local and independent stores throughout IPL’s service territory. (WECC implements the program for both IPL and MidAmerican.)
Required Rebate Application Inputs
-Number of CFLs purchased. -Wattage of new efficient CFLs.
Market Opportunity Replace on Burnout; Retrofit
Sector(s) Residential; Nonresidential; Agriculture
Program Be-Bright
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—CFL
Where:
WattsBase = Wattage of standard baseline light bulb = See Table 95 WattsEff = Wattage of efficient light bulb = See Table 95
1,000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual hours of standard lighting operation = 1,057 Units = Number of bulbs replaced
Electric Demand Savings Peak kW—CFL
Where:
Annual kWh = Annual kWh savings from standard lighting bulb replacement = Calculated CF = Peak Coincidence Factor = 0.00016347
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ALGORITHM VARIABLES:
Table 95. Baseline and Efficient Wattage for CFL in Be-Bright Program
Efficient CFL Wattage Range WattsEff WattsBase: Replaced Before
or in 2014 WattsBase: Replaced After
or in 2015
1–8 8 25 25
9 9 40 29
10–15 15 60 43
16–22 22 53 53
23–29 29 72 72
30–52 52 150 150
53–65 65 250 250
66–70 70 300 300
VARIABLE SOURCES:
Table 96. CFL Algorithm Sources
Algorithm Inputs Algorithm Sources
HOU Weighted average of annual hours-of-use by sector. WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
Units Entered from application form.
CF Weighted average of CF by sector. WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
Table 95. Baseline and Efficient Wattage for CFL in Be-Bright Program
WattsBase: WECC assumptions; new EISA baselines for 40w and 60w, beginning the new baseline on those wattages in 2015. Based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014). WattsEff: WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
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Light Emitting Diode (LED)
Measure Description
Be-Bright is an upstream program, with IPL providing incentives directly to lighting manufacturers to reduce the purchase costs of ENERGY STAR-rated, high-efficiency lighting products at participating retailer locations. The section of the program seeks to replace standard light bulbs with efficient-wattage LEDs.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent bulbs; the baseline wattage varies depending on the LED wattage range.
Efficiency Qualification
An implementation contractor (WECC) manages the Be-Bright Program; its services include: negotiating bulk pricing, recruitment, coordinating with retail stores, marketing and outreach to retailers, and tracking and providing program reports. WECC works with a broad range of retailers, including big-box stores and smaller local and independent stores throughout IPL’s service territory. (WECC implements the program for both IPL and MidAmerican.)
Required Rebate Application Inputs
-Number of LEDs purchased. -Wattage of new efficient LEDs.
Market Opportunity Replace on Burnout; Retrofit
Sector(s) Residential; Nonresidential; Agriculture
Program Be-Bright
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED
Where:
WattsBase = Wattage of standard baseline light bulb = See Table 97 WattsEff = Wattage of efficient light bulb = See Table 97
1,000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual hours of standard lighting operation = 985 Units = Number of bulbs replaced
Electric Demand Savings Peak kW—LED
Where:
Annual kWh = Annual kWh savings from standard lighting bulb replacement = Calculated CF = Peak Coincidence Factor = 0.00016070
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ALGORITHM VARIABLES:
Table 97. Baseline and Efficient Wattage for LED in Be-Bright Program
Efficient CFL Wattage Range
WattsEff WattsBase: Replaced before or
in 2014 WattsBase: Replaced after or in
2015
1-8 8 25 25
9 9 40 29
10-15 15 60 43
16-22 22 53 53
23-29 29 72 72
30-52 52 150 150
53-65 65 250 250
66-70 70 300 300
VARIABLE SOURCES:
Table 98. LED Algorithm Sources
Algorithm Inputs Algorithm Sources
HOU Weighted average of annual hours-of-use by sector. WECC assumptions based on WECC documentation provided to IPL on December 24, 2013:- "IA Savings Table_2013" (Updated for 2014).
Units Entered from application form.
CF Weighted average of CF by sector. WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
Table 97. Baseline and Efficient Wattage for LED in Be-Bright Program
WattsBase: WECC assumptions; new EISA baselines for 40 and 60w and beginning the new baseline on those wattages in 2015. Based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014). WattsEff: WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
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LED Holiday String Light
Measure Description
Be-Bright is an upstream program, with IPL providing incentives directly to lighting manufacturers to reduce the purchase costs of ENERGY STAR-rated, high-efficiency lighting products at participating retailer locations. The section of the program seeks to replace standard light bulbs with efficient-wattage string LEDs.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent bulbs; baseline wattage varies depending on the LED wattage range.
Efficiency Qualification
An implementation contractor (WECC) manages the Be-Bright Program; its services include: negotiating bulk pricing, recruitment, coordinating with retail stores, marketing and outreach to retailers, and tracking and providing program reports. WECC works with a broad range of retailers, including big-box stores and smaller local and independent stores throughout IPL’s service territory. (WECC implements the program for both IPL and MidAmerican.)
Required Rebate Application Inputs
-Number of LED holiday string lights purchased. -Wattage of new efficient LED holiday string lights.
Market Opportunity Replace on Burnout; Retrofit
Sector(s) Residential; Nonresidential; Agriculture
Program Be-Bright
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Holiday String Light
Where: LEDHolidaySavings = kWh savings per LED holiday string = 8.369
Units = Number of holiday light strings replaced Electric Demand Savings Peak kW—LED Holiday String Light
Where:
Annual kWh = Annual kWh savings from standard holiday light replacement = Calculated CF = Peak Coincidence Factor = 0
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VARIABLE SOURCES:
Table 99. LED Holiday String Light Algorithm Sources
Algorithm Inputs Algorithm Sources
LEDHolidaySavings WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
Units Entered from application form.
CF Assume zero peak savings for winter holiday lights. WECC assumptions based on WECC documentation provided to IPL on December 24, 2013: "IA Savings Table_2013" (Updated for 2014).
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Appliance Recycling Program
Table 100. Appliance Recycling Program Overview
Eligible Customers
Customer Class Residential and commercial electric rate
Customer Status All
Building Type Single-family; Manufactured home; Multifamily, Commercial property
Building Vintage All
Geography IPL’s Iowa service territory
Other Appliances must be operational and 10 cubic feet or larger
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Refrigerator/Freezer Recycling
Measure Description Recycling of existing refrigerator and/or freezer.
Fuel Electric
End Use Refrigeration
Baseline Equipment Refrigerator and/or freezer at the end of their effective useful life.
Efficiency Qualification
Required Rebate Application Inputs
Number of refrigerators/freezers recycled.
Market Opportunity Recycling
Sector(s) Residential; Nonresidential; Agriculture
Program Appliance Recycling Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Refrigerators/Freezers Recycling
Where:
SavingsPerUnit = Annual kWh savings per recycled unit by year = See Table 101
Unit = Number of units recycled Electric Demand Savings Peak kW—Refrigerators/Freezers Recycling
Where:
Annual kWh = Annual kWh savings from refrigerator/freezer recycling = Calculated CF = Peak Coincidence Factor = See Table 102
ALGORITHM VARIABLES:
Table 101. Annual kWh Savings per Recycled Unit by Year
Appliance Type Year 1 Year 2 Year 3 Year 4 Year 5
Refrigerator 1,143.14 1,100.96 1,060.34 1,021.23 983.55
Freezer 924.81 890.69 857.83 826.18 795.70
Table 102. Peak Coincidence Factor
Manufactured Multifamily Single-family Residential
0.00011478 0.00011418 0.00011425 0.00011427
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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VARIABLE SOURCES:
Table 103. Refrigerator/Freezer Recycling Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 101. Annual kWh Savings per Recycled Unit by Year
Cadmus has conducted many evaluations of refrigerator and freezer recycling programs and, as part of these studies, has developed regression models to estimate the annual consumption of recycled appliances, based on age, weather, configuration (side-by-side, top freezer, etc.), and whether the unit is primary or secondary. Consumption used as the dependent variable derived from metering of recycled units. Applied Des Moines weather along with data from IPL’s 2011 program tracking database (age and configuration) to these regression parameters estimated average gross savings for refrigerators and freezers. This analysis produced 1,239 kWh and 1,029 kWh for refrigerators and freezers, respectively. The final annual kWh savings values are subsequently calculated by applying the part-use factor and the annual de-rating factor.
Table 102. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Room Air Conditioner Recycling
Measure Description Recycling of existing Room Air Conditioner (RAC).
Fuel Electric
End Use HVAC
Baseline Equipment Room Air Conditioner at the end of its effective useful life.
Efficiency Qualification
Required Rebate Application Inputs
Number of Room Air Conditioners recycled.
Market Opportunity Recycling
Sector(s) Residential; Nonresidential; Agriculture
Program Appliance Recycling Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Room Air Conditioner Recycling
Where:
SavingsPerUnit = Annual kWh savings per recycled unit by year = 152.6
Unit = Number of units recycled Electric Demand Savings Peak kW—Room Air Conditioner Recycling
Where:
Annual kWh = Annual kWh savings from RAC recycling = Calculated CF = Peak Coincidence Factor = See Table 104
ALGORITHM VARIABLES:
Table 104. Peak Coincidence Factor
Manufactured Multifamily Single-family Residential
0.00011478 0.00011418 0.00011425 0.00011427
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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VARIABLE SOURCES:
Table 105. Room Air Conditioner Recycling Algorithm Sources
Algorithm Inputs Algorithm Sources
SavingsPerUnit
Savings were calculated assuming existing 10,000 BtuH EER 7.7 RAC units were recycled and replaced by EER 9.8 RAC units, with the recycling percentage of 76%.( OH TRM—Based on Nexus Market Research Inc., RLW Analytics, December 2005; “Impact, Process, and Market Study of the Connecticut Appliance Retirement Program: Overall Report.” Report states that 63% were replaced with ENERGY STAR units and 13% with non-ENERGY STAR. OH TRM assumes this formula that all are non-ENERGY STAR since the increment of savings between baseline units and ENERGY STAR would be recorded by the Efficient Products program when the new unit is purchased.)
Unit Entered from application form.
Table 104. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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New Home Construction Program Table 106. New Home Construction Program Overview
Eligible Customers
Customer Class Residential electric or natural gas
Customer Status Homeowners; builders; developers
Building Type Single-family
Building Vintage New construction
Geography IPL’s Iowa service territory
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Builder Option Package
Measure Description
The program offers two participation options: a measure-based (prescriptive) approach and a performance-based approach. For the measure-based option, homeowners or builders must meet the program specifications by installing the prescriptive measures included in a builder option package (BOP). The performance-based option focuses on achieving a minimum Home Energy Rating System (HERS) score in one of two performance tiers. Qualified air source heat pumps must have SEER/EER 15/12.5 (Split System) and HSPF 8.5 or higher ratings than conventional models. Qualified central air conditioners have SEER/EER 15/12.5 (Split System) or higher ratings than conventional models. Efficient furnaces with a quality installation use less energy than conventional furnaces with a minimum of 94% AFUE. A high-efficiency water heater reduces standby losses and therefore proves more efficient than a standard gas water heater. Tank-less water heaters provide hot water at a preset temperature when needed and without storage, thereby reducing or eliminating standby losses. A heat pump water heater moves heat from a warm reservoir (such as air), transferring this heat into the hot water system.
Fuel Electric/Gas
End Use HVAC/Water Heat
Baseline Equipment N/A
Efficiency Qualification
-Must implement measures in the heating, cooling and water heating categories where IPL fuel is available. -Central air conditioning SEER/EER 15/12.5 (Split System); must be SAVE installed. -Furnace 94%; must be SAVE installed. -Air source heat pump system SEER/EER 15/12.5 and HSPF 8.5; must be SAVE installed. -Gas storage water heater ENERGY STAR with EF = 0.67. -Gas tankless water heater ENERGY STAR with EF = 0.82. -Electric heat pump water heater ENERGY STAR with EF = 2.0. Bonus: -Geothermal Heat Pump: Tier 1 EER 14.0 and 3.0 COP or better. -Geothermal Heat Pump: Tier 2 EER 18.0 and 4.0 COP or better. -Geothermal Heat Pump: Tier 3 EER 23.0 and 5.0 COP or better. -Drain water heat recovery system.
Required Rebate Application Inputs
-Water heater capacity (gallons). -Equipment Size (heating and/or cooling in MBtu/h or Tons). -Efficiency (in SEER and/or EER or AFUE or COP or EF). -Geothermal Application Type (Water-to-Water, Water-to-Air, Direct Geoexchange). -Geothermal Equipment Type (Water-Loop Heat Pump, Ground-Water Heat Pump, Ground-Loop Heat Pump). -Geothermal System Type (Open Loop, Closed Loop). -Variable Speed Geothermal systems (Y/N). -Installation date. -Manufacture date (water heaters only).
Market Opportunity New Construction
Sector(s) Residential
Program New Home Construction Program
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NEW HOME CONSTRUCTION—BOP—HEATING AND COOLING CUSTOMERS (ELECTRIC ONLY): ELECTRIC HEATING, COOLING, AND WATER HEATING
This measure is for homes with electric heating, cooling, and water heating systems.
Electric Savings kWh—Air Source Heat Pump and Water Heating
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline in Btu/W-h = See Table 107 SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency
system in Btu/W-h = See Table 107Error!
eference source not found.
HSPFBase = Heating Seasonal Performance Factor federal baseline in Btu/W-h
= See Table 107Error! eference source not found.
HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system in Btu/W-h
= See Table 107
SFC = Cooling Savings Factor for Quality Installation = 10.5% SFH = Heating Savings Factor for Quality Installation = 11.8%
CAPC = Capacity of cooling system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
CAPH = Capacity of heating system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
EFLHC = Equivalent Full Load Hours of cooling = 484 EFLHH = Equivalent Full Load Hours of heating = 2160
Tout = Temperature of hot water exiting water heater in °F = 126.5 Tmains = Temperature ground water entering hot water heater in °F = 56.5
Nppl = Number of people per home with electric hot water heating = 2.12
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Ce1 = Constant used to calculate baseline energy factor = See Table 107 Ce2 = Constant used to calculate baseline energy factor = See Table 107
GAL = Tank size in gallons = 40* (40 to 120) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
3,412 = Conversion factor from Btu/h to kilowatts = 3412 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (2.0 to 3.0) Unit = Number of Rebated Units
Electric Demand Savings kW—Air Source Heat Pump and Water Heating
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 107
EEREff = Energy Efficiency Ratio of new high-efficiency efficiency system in Btu/W-h
= See Table 107
CFcooling = Cooling Peak Coincidence Factor = 0.00101125 CFWH = Water Heating Peak Coincidence Factor = 0.00009868
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NEW HOME CONSTRUCTION—BOP—HEATING AND COOLING CUSTOMERS (ELECTRIC AND NATURAL GAS): ELECTRIC HEATING/COOLING, NATURAL GAS WATER HEATING
This measure is for homes with electric heating and cooling, and gas water heating systems.
Electric Savings kWh—Air Source Heat Pump
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline in Btu/W-h = See Table 108 SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency
system in Btu/W-h = See Table 108
HSPFBase = Heating Seasonal Performance Factor federal baseline in Btu/W-h
= See Table 108
HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system in Btu/W-h
= See Table 108
SFC = Cooling Savings Factor for Quality Installation = 10.5% SFH = Heating Savings Factor for Quality Installation = 11.8%
CAPC = Capacity of cooling system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
CAPH = Capacity of heating system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
EFLHC = Equivalent Full Load Hours of cooling = 484 EFLHH = Equivalent Full Load Hours of heating = 2160
Gas Savings Therms—Water Heater
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Where: Tout = Temperature of hot water exiting water heater in °F = 126.5
Tmains = Temperature ground water entering hot water heater in °F = 56.5 Nppl = Number of people per home with gas hot water heating = 2.16 Cg1 = Constant used to calculate baseline energy factor = See Table 108 Cg2 = Constant used to calculate baseline energy factor = See Table 108
GAL = Tank size in gallons = 40* (29 to 75) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
100,000 = Conversion factor from Btu to therms = 100000 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (0.67 to 0.82) Unit = Number of Rebated Units
Electric Demand Savings kW—Air Source Heat Pump
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 108
EEREff = Energy Efficiency Ratio of new high-efficiency system in Btu/W-h
= See Table 108
CFcooling = Cooling Peak Coincidence Factor = 0.00101125
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ELECTRIC COOLING, NATURAL GAS HEATING/WATER HEATING
This measure is for homes with natural gas heating and water heating systems and electric cooling systems. Electric Savings kWh—Central Air Conditioner and Water Heater
Where:
SEERBase = Seasonal Energy Efficiency Ratio federal baseline in Btu/W-h = See Table 109 SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency
system in Btu/W-h = See Table 109
HSPFBase = Heating Seasonal Performance Factor federal baseline in Btu/W-h
= See Table 109
HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system in Btu/W-h
= See Table 109
SFC = Cooling Savings Factor for Quality Installation = 10.5% SFH = Heating Savings Factor for Quality Installation = 11.8%
CAPC = Capacity of cooling system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
Gas Savings Therms—Furnace and Water Heater
Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline efficiency = AFUEEff = Annual Fuel Utilization Efficiency for new high-efficiency
heating equipment = (94%-99%)
CAP = Input capacity of heating system in MBtu/h = 60* (28 to 225) EFLHH = Equivalent Full Load Hours of heating = 532
+ QI
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SFH = Heating Savings Factor for Quality Installation of furnace = 2% 100 = Conversion factor from MBtu to therms = 100 Tout = Temperature of hot water exiting water heater in °F = 126.5
Tmains = Temperature ground water entering hot water heater in °F = 56.5 Nppl = Number of people per home with gas hot water heating = 2.16 Cg1 = Constant used to calculate baseline energy factor = See Table 109 Cg2 = Constant used to calculate baseline energy factor = See Table 109
GAL = Tank size in gallons = 40* (29 to 75) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
100,000 = Conversion factor from Btu to therms = 100000 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (0.67 to 0.82) Unit = Number of rebated units
Electric Demand Savings Peak kW—Central Air Conditioner
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 109
EEREff = Energy Efficiency Ratio of new high-efficiency system in Btu/W-h
= See Table 109
CFcooling = Cooling Peak Coincidence Factor = 0.00101125 Gas Savings Peak Therms—Furnace and Water Heater
Where: CFHeating = Heating Peak Coincidence Factor = 0.00970261
CFWH = Water Heating Peak Coincidence Factor = 0.00290983
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ELECTRIC COOLING/WATER HEATING, NATURAL GAS HEATING
This measure is for homes with natural gas heating systems and electric cooling and water heating systems.
Where: SEERBase = Seasonal Energy Efficiency Ratio federal baseline in Btu/W-h = See Table 110
SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system in Btu/W-h
= See Table 110
HSPFBase = Heating Seasonal Performance Factor federal baseline in Btu/W-h
= See Table 110
HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system in Btu/W-h
= See Table 110
SFC = Cooling Savings Factor for Quality Installation = 10.5% SFH = Heating Savings Factor for Quality Installation = 11.8%
CAPC = Capacity of cooling system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
Tout = Temperature of hot water exiting water heater in °F = 126.5 Tmains = Temperature ground water entering hot water heater in °F = 56.5
Nppl = Number of people per home with electric hot water heating = 2.12 Ce1 = Constant used to calculate baseline energy factor = See Table 110 Ce2 = Constant used to calculate baseline energy factor = See Table 110
GAL = Tank size in gallons = 40* (40 to 120) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
3,412 = Conversion factor from Btu/h to kilowatts = 3412 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (2.0 to 3.0) Unit = Number of Rebated Units
Gas Savings Therms—Furnace
+ QI
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Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline efficiency = AFUEEff = Annual Fuel Utilization Efficiency for new high-efficiency
heating equipment = (94%-99%)
CAP = Input capacity of heating system in MBtu/h = 60* (28 to 225) EFLHH = Equivalent Full Load Hours of heating = 532
SFH = Heating Savings Factor for Quality Installation of furnace = 2% 100 = Conversion factor from MBtu to therms = 100 Unit = Number of rebated units
Electric Demand Savings kW—Central Air Conditioner and Water Heating
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 110
EEREff = Energy Efficiency Ratio of new high-efficiency efficiency system in Btu/W-h
= See Table 110
CFcooling = Cooling Peak Coincidence Factor = 0.00101125 CFWH = Water Heating Peak Coincidence Factor = 0.00009868
Gas Savings Peak Therms—Furnace
Where:
CFHeating = Heating Peak Coincidence Factor = 0.00970261
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NEW HOME CONSTRUCTION—BOP—HEATING ONLY CUSTOMERS (NATURAL GAS):
This measure is for homes with natural gas heating and water heating systems, and where another utility provides electricity. (An optional tankless water heater can be used in place of the high-efficiency standard water heater; the calculation methodology is very similar.) Gas Savings Therms—Furnace and Water Heater
Where:
AFUEBase = Annual Fuel Utilization Efficiency for the baseline efficiency = See Table 111 AFUEEff = Annual Fuel Utilization Efficiency for new high-efficiency
heating equipment = (94%-99%)
CAP = Input capacity of heating system in MBtu/h = 60* (28 to 225) EFLHH = Equivalent Full Load Hours of heating = 532
SFH = Heating Savings Factor for Quality Installation of furnace = 2% 100 = Conversion factor from MBtu to therms = 100 Tout = Temperature of hot water exiting water heater in °F = 126.5
Tmains = Temperature ground water entering hot water heater in °F = 56.5 Nppl = Number of people per home with gas hot water heating = 2.16 Cg1 = Constant used to calculate baseline energy factor = See Table 111 Cg2 = Constant used to calculate baseline energy factor = See Table 111
GAL = Tank size in gallons = 40* (29 to 75) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
100,000 = Conversion factor from Btu to therms = 100,000 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (0.67 to 0.82) Unit = Number of rebated units
Gas Savings Peak Therms—Furnace and Water Heater
+ QI
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Where:
CFHeating = Heating Peak Coincidence Factor = 0.00970261 CFWH = Water Heating Peak Coincidence Factor = 0.00290983
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NEW HOME CONSTRUCTION—BOP—COOLING ONLY CUSTOMERS (ELECTRIC):
This measure is for homes with electric cooling systems heat pump water heaters, where another utility provides natural gas.
Where: SEERBase = Seasonal Energy Efficiency Ratio federal baseline in Btu/W-h = See Table 112
SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system in Btu/W-h
= See Table 112
HSPFBase = Heating Seasonal Performance Factor federal baseline in Btu/W-h
= See Table 112
HSPFEff = Heating Seasonal Performance Factor of new high-efficiency system in Btu/W-h
= See Table 112
SFC = Cooling Savings Factor for Quality Installation = 10.5% SFH = Heating Savings Factor for Quality Installation = 11.8%
CAPC = Capacity of cooling system in MBtu/h (CAP = MBtu/h = Tons × 12)
= 36* (4 to 65)
Tout = Temperature of hot water exiting water heater in °F = 126.5 Tmains = Temperature ground water entering hot water heater in °F = 56.5
Nppl = Number of people per home with electric hot water heating = 2.12 Ce1 = Constant used to calculate baseline energy factor = See Table 112 Ce2 = Constant used to calculate baseline energy factor = See Table 112
GAL = Tank size in gallons = 40* (40 to 120) 23.0 = Gallons of hot water used per person per day = 23.0 8.33 = Specific weight of water in lbs/gal = 8.33
1 = Specific heat of water Btu/lb°F = 1 365 = Number of days in a year = 365
3,412 = Conversion factor from Btu/h to kilowatts = 3412 EFBase = Energy Factor of baseline heat pump water heater = Calculated
EFeff = Energy Factor of efficient heat pump water heater = (2.0 to 3.0) Unit = Number of Rebated Units
Electric Demand Savings kW—Central Air Conditioner and Water Heating
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Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 112
EEREff = Energy Efficiency Ratio of new high-efficiency efficiency system in Btu/W-h
= See Table 112
CFcooling = Cooling Peak Coincidence Factor = 0.00101125 CFWH = Water Heating Peak Coincidence Factor = 0.00009868
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OPTIONAL MEASURES:
Optional measures include Drain Water Heat Recovery System and Geothermal Heat Pump System in place of an Air Source Heat Pump System.
Electric Savings kWh—Geothermal Heat Pump—Single/Constant Speed
Where:
EERBase = Energy Efficiency Ratio federal baseline = 11.2* 11.8**
EERFL-Eff = Rated full load Energy Efficiency Ratio of high-efficiency system CAPFL-C = Rated full load capacity of cooling system in MBtuh (Tons × 12) = Range (4 to 240) EFLHC = Equivalent Full Load Hours of cooling = 484
Unit = Number of rebated units
COPBase = Coefficient of Performance of baseline system = 2.26* 2.40**
COPFL-Eff = Rated full load Coefficient of Performance of efficient system CAPH = Rated full load capacity of heating system in MBtuh (Tons × 12) = Range (4 to 240)
EFLHH = Equivalent Full Load Hours of heating = 2,160 3.412 = Conversion factor from Btuh to watts = 3.412
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Geothermal Heat Pump—Variable Speed
Where:
PLFH = Part load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
FLFH = Full load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and
= 0.5
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50% at partial load (more efficient).
PLFC = Part load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.85
FLHC = Full load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.15
CAPFL-C = Rated full load capacity of cooling system in MBtuh = Range (4 to 240) Default: 36
CAPFL-H = Rated full load capacity of heating system in MBtuh = Range (4 to 240) Default: 36
EERBase = Energy Efficiency Ratio of baseline efficiency system in [Btu/W-h] = 11.2* 11.8**
EERPL-Eff = Part Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
EERFL-Eff = Full Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
COPBase = Coefficient of Performance of baseline system in [Btu/W-h] = 2.26* 2.40**
COPPL-Eff = Rated part load Coefficient of Performance of new high efficiency system in [Btu/W-h]
COPFL-Eff = Rated full load Coefficient of Performance of new high efficiency system in [Btu/W-h]
EFLHC = Equivalent Full Load Hours of Cooling = 484 EFLHH = Equivalent Full Load Hours of Heating = 2,160 3.412 = Conversion Btuh per watt = 3.412
Unit = Number of Rebated Units *Before 1/1/2015 **After 1/1/2015 Federal Code Change
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Geothermal Heat Pump
Where:
CF = Peak Coincidence Factor = 0.00101125
Electric Savings kWh—Drainwater Heat Recovery
Where: TFinal = Temperature of final raise in water from the drainwater heat
recovery unit in °F = 74.0
D
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TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature ground water entering hot water heater in °F = 56.5
23 = Gallons of hot water used per person per day = 23 Nppl = Number of people per home with electric hot water heating = 2.12
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
365 = Number of days in a year = 365 RE = Recovery efficiency of the electric water heater = 0.98
3,412 = Conversion factor from Btu/h to kilowatts = 3,412
Electric Savings Peak kW—Drainwater Heat Recovery
Where: CF = Peak Coincidence Factor = 0.00009868
Gas Savings Therms—Drainwater Heat Recovery
Where:
TFinal = Temperature of final raise in water from the drainwater heat recovery unit in °F
= 74.0
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature ground water entering hot water heater in °F = 56.5
23 = Gallons of hot water used per person, per day = 23 Nppl = Number of people per home with gas hot water heating = 2.16
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
365 = Number of days in a year = 365 RE = Recovery efficiency of the gas water heater = 0.75
100,000 = Conversion factor from Btu to therms = 100,000 Gas Savings Peak Therms—Drainwater Heat Recovery
Where:
CF = Peak Coincidence Factor = 0.00290983
D
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ALGORITHM VARIABLES:
Table 107. Electric Heating/Cooling, Electric Water Heating Path
Required Measures
Minimum Installed
EfficiencyEff
Baseline EfficiencyBase
Prior 1/1/2015 Post 1/1/2015
ASHP
15 SEER 13 SEER 14 SEER
12.5 EER 11.2 EER 11.8 EER
8.5 HSPF 7.7 HSPF 8.2 HSPF
Heat Pump Water Heater (HPWH)
Prior 1/1/2016 Post 1/1/2016
2.0 EF
0.97 Ce1 0.96 ≥ 20 and ≤ 55gal Ce1
2.057 > 55 and ≤ 120gal Ce1
0.00132 Ce2 0.0003 ≥ 20 and ≤ 55gal Ce2
0.00113 > 55 and ≤ 120gal Ce2
Table 108. Electric Heating/Cooling, Natural Gas Water Heating Path
Required Measures
Minimum Installed EfficiencyEff Baseline EfficiencyBase
Prior 1/1/2015 Post 1/1/2015
ASHP 15 SEER 13 SEER 14 SEER
12.5 EER 11.2 EER 11.8 EER
8.5 HSPF 7.7 HSPF 8.2 HSPF
Gas Water Heating
Prior 1/1/2016 Post 1/1/2016
0.67 Ce1
0.675 ≥ 20 and ≤ 55gal Ce1
Storage Tank 0.67 EF 0.8012 > 55 and ≤ 120gal Ce1
Tankless 0.82 EF 0.0019 Ce2 0.0015 ≥ 20 and ≤ 55gal Ce2
0.00178 > 55 and ≤ 120gal Ce2
Table 109. Electric Cooling, Natural Gas Heating/Water Heating Path
Required Measures Minimum Installed
EfficiencyEff Baseline EfficiencyBase
Central Air Conditioner 15 SEER 13 SEER
12.5 EER 11.2 EER
HPWH
Prior 1/1/2016 Post 1/1/2016
2.0 EF
0.97 Ce1 0.96 ≥ 20 and ≤ 55gal Ce1
2.057 > 55 and ≤ 120gal Ce1
0.00132 Ce2 0.0003 ≥ 20 and ≤ 55gal Ce2
0.00113 > 55 and ≤ 120gal Ce2
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Table 110. Electric Cooling/Water Heating, Natural Gas Heating Path
Required Measures
Minimum Installed EfficiencyEff Baseline EfficiencyBase
Furnace Furnace AFUE 94% Furnace AFUE 80%
Central Air Conditioner
15 SEER 13 SEER
12.5 EER 11.2 EER
Water Heating
Gas Water Heating Prior 1/1/2016 Post 1/1/2016
0.67 Ce1 0.675 ≥ 20 and ≤ 55gal Ce1
Gas Storage Tank 0.67 EF 0.8012 > 55 and ≤ 120gal Ce1
Gas Tankless 0.82 EF 0.0019 Ce2 0.0015 ≥ 20 and ≤ 55gal Ce2
0.00178 > 55 and ≤ 120gal Ce2
Electric Water Heating 0.97 Ce1
0.96 ≥ 20 and ≤ 55gal Ce1
Heat Pump Water Heater 2.0 EF
2.057 > 55 and ≤ 120gal Ce1
0.00132 Ce2 0.0003 ≥ 20 and ≤ 55gal Ce2
0.00113 > 55 and ≤ 120gal Ce2
Table 111. Natural Gas Heating/Water Heating Path
Required Measures
Minimum Installed EfficiencyEff Baseline EfficiencyBase
Furnace Furnace AFUE 94% Furnace AFUE 80%
Water Heating
Prior 1/1/2016 Post 1/1/2016
0.67 Ce1 0.675 ≥ 20 and ≤ 55gal Ce1
Gas Storage Tank 0.67 EF 0.8012 > 55 and ≤ 120gal Ce1
Gas Tankless 0.82 EF 0.0019 Ce2 0.0015 ≥ 20 and ≤ 55gal Ce2
0.00178 > 55 and ≤ 120gal Ce2
Table 112. Electric Cooling/Water Heating Path
Required Measures
Minimum Installed EfficiencyEff
Baseline EfficiencyBase
Central Air Conditioner
15 SEER 13 SEER
12.5 EER 11.2 EER
HPWH
Prior 1/1/2016 Post 1/1/2016
2.0 EF
0.97 Ce1 0.96 ≥ 20 and ≤ 55gal Ce1
2.057 > 55 and ≤ 120gal Ce1
0.00132 Ce2 0.0003 ≥ 20 and ≤ 55gal Ce2
0.00113 > 55 and ≤ 120gal Ce2
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Table 113. Optional: Ground Source Heat Pump
Required Measures Minimum Installed EfficiencyEff Baseline EfficiencyBase
Prior 1/1/2015 Post 1/1/2015
Geothermal Heat Pump
Tier 1 14 EER All Systems All Systems
3 COP
Tier 2 18 EER
11.2 EER 11.8 EER 4 COP
Tier 3 23 EER
2.26 COP 2.4 COP 5 COP
VARIABLE SOURCES:
Table 114. Builder Option Package Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase
HSPFBase
COPBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERBase Calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
SEEREff
HSPFEff
EEREff
COPEff
Entered from application form or AHRI database.
CAP Entered from application form or AHRI database.
EFLH Inferred from the 2011 Assessment of Potential.
SF Based on proper refrigerant charge, evaporator airflow, and unit sizing; Cadmus analysis.
Unit Entered from application form.
Tout CPUC Residential Retrofit—High Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
Tmains
Averaged monthly water main temperature calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20. http://www.nrel.gov/docs/fy10osti/47246.pdf; water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines.
Tfinal
Metering study found savings range from 25% to 30%. Assume 25% savings for this analysis and interpolated from graph of Figure 2. Heating contributions depend on inlet water temperature (page 3) based on: Tomlinson, J. J. Letter to Marc LaFrance, Manager, Appliance and Emerging Technology Program, U.S. Department of Energy. Subject: GFX Evaluation. Oak Ridge, TN: Oak Ridge National Laboratory, accessed 07 November 2008, http://gfxtechnology.com/Duluth-Triplex.pdf. With reference to "A Quantitative Study of the Viability of Greywater Heat Recovery (GWHR)," June 2011.
23 Averaged from various sources: NY TRM, ACEEE, OH TRM, EPA, and others.
RE Review of AHRI Directory suggests a range of recovery efficiency ratings for new Gas DHW units of 70%–87%. Average of existing units is estimated at 75%. Review of AHRI Directory suggests a range of recovery efficiency ratings for new electric DHW units of 98%.
Nppl Average household size by building type and water heater fuel type, based on the 2007 RASS.
C1, C2 DOE Standard 10 CFR 430.32(d).
GAL Entered from application form.
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Algorithm Inputs Algorithm Sources
EFEff Entered from application form; provided range is based on ENERGY STAR-qualified list of electric heat pump water heaters (list posted 11/11/13).
CF Inferred from the 2011 Assessment of Potential.
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Advanced Performance Home Package
Measure Description Advanced Performance Home.
Fuel Electric/Gas
End Use HVAC/Water Heat
Baseline Equipment See Table 116. Baseline Standard (IECC 2012) for REM/Rates UDRH Feature
Efficiency Qualification -Must achieve a HERS Index of 60 or lower. -Must meet IECC 2012 requirements.
Required Rebate Application Inputs
-REM/Rate Model Version v13.00. -Efficiency (in SEER and/or EER). -Home Size (in square foot). -Heating Fuel (Gas, Electric, Wood, Propane, Other). -Heating Efficiency (in COP, HSPF, AFUE). -Heating Size (in MBtu/hour). -Cooling Efficiency (in SEER or EER). -Cooling Size (in MBtu/hour). -Water Heating Fuel (Gas, Electric, Wood, Propane, Other). -Water Heating Type (Conventional, Tank-less, Heat Pump Water Heater). -Water Heating Efficiency (in EF). -IECC Climate Zone (in Zone 5 or Zone 6).
Market Opportunity New Construction
Sector(s) Residential
Program New Home Construction Program
Table 115. Saving calculation using REM/Rate User Defined Reference Home (UDRH) Feature
Customer Class
Energy Savings Demand Savings
kWh Therms kW Peak
Therms
Heating and Cooling Customer (Electric) 4,614.00 - 0.55 -
Heating and Cooling Customer (Electric and Gas) 523.00 88.60 0.16 0.72
Heating Only (Natural Gas) - 88.60 - 0.72
Cooling Only (Electric) 523.00 - 0.16 -
Model Assumptions:
Savings calculated using REM/Rate V13.00, using the following assumed measures on a 2,200 sq. ft., 2-story home.
R-5 board insulation over R-20 exterior walls .
Windows U-0.30.
(Gas Home) Furnace 94%AFUE.
(Gas Home) Standard Water Heater 0.67 EF.
(Electric Home) Heat Pump 17 SEER 9 HSPF.
(Electric Home) Heat Pump Water Heater EF 2.0.
Refrigerator 423 Watts/Year.
Dishwasher EF 0.66.
OPTIONAL MEASURES:
Optional measures include Drain Water Heat Recovery System and Geothermal Heat Pump System in place of an Air Source Heat Pump System.
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Electric Savings kWh—Ground Source Heat Pump
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 117
EEREff = Energy Efficiency Ratio of new high-efficiency efficiency system in Btu/W-h
= See Table 117
COPBase = Coefficient of Performance of baseline system in Btu/W-h = See Table 117 COPEff = Coefficient of Performance of new high-efficiency system,
from installed system, in Btu/W-h = See Table 117
CAPC = Capacity of cooling system in MBtu/h CAP = MBtu/h × 12
= 36* (4 to 240)
CAPH = Capacity of heating system in MBtu/h = 36* (4 to 240) EFLHC = Equivalent Full Load Hours of cooling = 484 EFLHH = Equivalent Full Load Hours of heating = 2160 3.412 = Conversion factor from Btu/h to watts = 3.412
Unit = Number of rebated units
Electric Demand Savings kW—Ground Source Heat Pump
Where:
CF = Peak Coincidence Factor = 0.00101125
Electric Savings kWh—Drainwater Heat Recovery
Where:
TFinal = Temperature of final raise in water from the drainwater heat recovery unit in °F
= 74.0
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature of ground water entering hot water heater
in °F = 56.5
23 = Gallons of hot water used per person per day = 23 Nppl = Number of people per home with electric hot water heating = 2.12
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
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365 = Number of days in a year = 365 RE = Recovery efficiency of the electric water heater = 0.98
3412 = Conversion factor from Btu/h to kilowatts = 3412
Electric Savings Peak kW—Drainwater Heat Recovery
Where:
CF = Peak Coincidence Factor = 0.00009868
Gas Savings Therms—Drainwater Heat Recovery
Where:
TFinal = Temperature of final raise in water from the drainwater heat recovery unit in °F
= 74.0
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature of ground water entering hot water heater
in °F = 56.5
23 = Gallons of hot water used per person per day = 23 Nppl = Number of people per home with gas hot water heating = 2.16
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
365 = Number of days in a year = 365 RE = Recovery efficiency of the gas water heater = 0.75
100,000 = Conversion factor from Btu to therms = 100,000 Gas Savings Peak Therms—Drainwater Heat Recovery
Where:
CF = Peak Coincidence Factor = 0.00290983
ALGORITHM VARIABLES:
Table 116. Baseline Standard (IECC 2012) for REM/Rates UDRH Feature
Category Construction Type Zone 5 Zone 6
Envelope
Fenestration/Windows (U-Factor) 0.32
Skylight (U-Factor) 0.55
Ceiling (U-Factor) 0.026
Frame Wall (U-Factor) 0.057 0.048
Mass Wall (U-Factor) 0.082 0.06
Floor (U-Factor) 0.033
Basement Wall (U-Factor) 0.05
Crawl Space Wall (U-Factor) 0.055
Infiltration (Air Changes Per Hour) 3
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Category Construction Type Zone 5 Zone 6
Ducts
Duct Insulation in Attics (R-Value) 8
Duct Insulation in Other Spaces (R-Value) 6
Total Duct Leakage (cfm/100 sq. ft.) 4
Lighting Lighting (% High-Efficacy) 80%
Heating
Furnace Efficiency (AFUE) 80%
Boiler Efficiency (AFUE) 82%
Heat Pump Efficiency (HSPF) Pre-1/1/2015 7.7
Heat Pump Efficiency (HSPF) Post-1/1/2015 8.2
Cooling AC Efficiency (SEER) Pre-1/1/2015 13
AC Efficiency (SEER) Post-1/1/2015 14
Water Heating Water Heating Efficiency (EF) EF=Ce1-Ce2*gallons
Table 117. Optional: Ground Source Heat Pump
Required Measures Minimum Installed efficiencyEff Baseline EfficiencyBase
Prior 1/1/2015 Post 1/1/2015
Geothermal Heat Pump
Tier 1 14 EER All Systems All Systems
3 COP
Tier 2 18 EER
11.2 EER 11.8 EER 4 COP
Tier 3 23 EER
2.26 COP 2.4 COP 5 COP
VARIABLE SOURCES:
Table 118. Advanced Performance Home Package Algorithm Sources
Algorithm Inputs Algorithm Sources
COPBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERBase Calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff
COPEff Entered from application form or AHRI database.
CAP Entered from application form or AHRI database.
EFLH Inferred from the 2011 Assessment of Potential.
SF Based on proper refrigerant charge, evaporator airflow, and unit sizing; Cadmus analysis.
Unit Entered from application form.
Tout CPUC Residential Retrofit—High-Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
Tmains
Averaged monthly water main temperature, calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20. http://www.nrel.gov/docs/fy10osti/47246.pdf; Water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines.
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Algorithm Inputs Algorithm Sources
Tfinal
Metering study found savings range from 25% to 30%. Assuming 25% savings for this analysis and interpolated from graph of Figure 2. Heating contributions depend on inlet water temperature (page 3) based on: Tomlinson, J. J. Letter to Marc LaFrance, Manager, Appliance and Emerging Technology Program, U.S. Department of Energy. Subject: GFX Evaluation. Oak Ridge, TN: Oak Ridge National Laboratory, accessed 07 November 2008, http://gfxtechnology.com/Duluth-Triplex.pdf. With reference to "A Quantitative Study of the Viability of Greywater Heat Recovery (GWHR)," June 2011.
23 Averaged from various sources: NY TRM, ACEEE, OH TRM, EPA, and others.
RE Review of AHRI Directory suggests a range of recovery efficiency ratings for new Gas DHW units of 70%–87%. Average of existing units is estimated at 75%. Review of AHRI Directory suggests a range of recovery efficiency ratings for new electric DHW units of 98%.
Nppl Average household size by building type and water heater fuel type, based on the 2007 RASS.
EFEff Entered from application form; provided range is based on ENERGY STAR-qualified list of electric heat pump water heaters (list posted 11/11/13).
CF Inferred from the 2011 Assessment of Potential.
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High-Performance Home Package
Measure Description High-Performance Home.
Fuel Electric/Gas
End Use HVAC/Water Heat
Baseline Equipment N/A
Efficiency Qualification -Must achieve a HERS Index of 55 or lower. -Must meet IECC 2012 requirements.
Required Rebate Application Inputs
-REM/Rate Model Version 13.00. -Efficiency (in SEER and/or EER). -Home size (in square foot). -Heating Fuel (Gas, Electric, Wood, Propane, Other). -Heating Efficiency (in COP, HSPF, AFUE). -Heating Size (in MBtu/hour). -Cooling Efficiency (in SEER or EER). -Cooling Size (in MBtu/hour). -Water Heating Fuel (Gas, Electric, Wood, Propane, Other). -Water Heating Type (Conventional, Tankless, Heat Pump Water Heater). -Water Heating Efficiency (in EF). -IECC Climate Zone (in Zone 5 or Zone 6).
Market Opportunity New Construction
Sector(s) Residential
Program New Home Construction Program
Table 119. Saving Calculation using REM/Rate User-Defined Reference Home (UDRH) Feature
Customer Class
Energy Savings Demand Savings
kWh Therms kW Peak
Therms
Heating and Cooling Customer (Electric) 5715 - 0.58 –
Heating and Cooling Customer (Electric and Gas) 560 160 0.15 1.22
Heating Only (Natural Gas) - 160 - 1.22
Cooling Only (Electric) 560 - 0.15 –
Model Assumptions:
Savings calculated using REM/Rate V13.00, using the following assumed measures on a 2,200 sq. ft., two-story home.
R-10 board insulation over R-20 exterior walls.
Windows U-0.25.
(Gas Home) Furnace 96% AFUE.
(Gas Home) Tankless Water Heater 0.82 EF.
(Electric Home) Heat Pump 18 SEER 9.5 HSPF.
(Electric Home) Heat Pump Water Heater EF 2.0.
Refrigerator 423 Watts/Year.
Dishwasher EF 0.66.
OPTIONAL MEASURES:
Optional measures include Drain Water Heat Recovery System and Geothermal Heat Pump System in place of an Air Source Heat Pump System.
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Electric Savings kWh—Ground Source Heat Pump
Where:
EERBase = Energy Efficiency Ratio of baseline efficiency system in Btu/W-h
= See Table 121
EEREff = Energy Efficiency Ratio of new high-efficiency efficiency system in Btu/W-h
= See Table 121
COPBase = Coefficient of Performance of baseline system in Btu/W-h = See Table 121 COPEff = Coefficient of Performance of new high-efficiency system,
from installed system, in Btu/W-h = See Table 121
CAPC = Capacity of cooling system in MBtu/h CAP = MBtu/h × 12
= 36* (4 to 240)
CAPH = Capacity of heating system in MBtu/h = 36* (4 to 240) EFLHC = Equivalent Full Load Hours of cooling = 484 EFLHH = Equivalent Full Load Hours of heating = 2,160 3.412 = Conversion factor from Btu/h to watts = 3.412
Unit = Number of rebated units
Electric Demand Savings kW—Ground Source Heat Pump
Where:
CF = Peak Coincidence Factor = 0.00101125
Electric Savings kWh—Drainwater Heat Recovery
Where:
TFinal = Temperature of final raise in water from the drainwater heat recovery unit in °F
= 74.0
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature of ground water entering hot water heater
in °F = 56.5
23 = Gallons of hot water used per person per day = 23 Nppl = Number of people per home with electric hot water heating = 2.12
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
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365 = Number of days in a year = 365 RE = Recovery efficiency of the electric water heater = 0.98
3,412 = Conversion factor from Btu/h to kilowatts = 3,412
Electric Savings Peak kW—Drainwater Heat Recovery
Where: CF = Peak Coincidence Factor = 0.00009868
Gas Savings Therms—Drainwater Heat Recovery
Where: TFinal = Temperature of final raise in water from the drainwater heat
recovery unit in °F = 74.0
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature of ground water entering hot water heater
in °F = 56.5
23 = Gallons of hot water used per person per day = 23 Nppl = Number of people per home with gas hot water heating = 2.16
8.33 = Specific weight of water in lbs/gal = 8.33 1 = Specific heat of water Btu/lb°F = 1
365 = Number of days in a year = 365 RE = Recovery efficiency of the gas water heater = 0.75
100,000 = Conversion factor from Btu to therms = 100,000 Gas Savings Peak Therms—Drainwater Heat Recovery
Where:
CF = Peak Coincidence Factor = 0.00290983
ALGORITHM VARIABLES:
Table 120. Baseline Standard (IECC 2012) for REM/Rates UDRH Feature
Category Construction Type Zone 5 Zone 6
Envelope
Fenestration/Windows (U-Factor) 0.32
Skylight (U-Factor) 0.55
Ceiling (U-Factor) 0.026
Frame Wall (U-Factor) 0.057 0.048
Mass Wall (U-Factor) 0.082 0.06
Floor (U-Factor) 0.033
Basement Wall (U-Factor) 0.05
Crawl Space Wall (U-Factor) 0.055
Infiltration (Air Changes Per Hour) 3
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Category Construction Type Zone 5 Zone 6
Ducts
Duct Insulation in Attics (R-Value) 8
Duct Insulation in other spaces (R-Value) 6
Total Duct Leakage (cfm/100 sq. ft/) 4
Lighting Lighting (% high-efficacy) 80%
Heating
Furnace Efficiency (AFUE) 80%
Boiler Efficiency (AFUE) 82%
Heat Pump Efficiency (HSPF) Pre-1/1/2015 7.7
Heat Pump Efficiency (HSPF) Post-1/1/2015 8.2
Cooling AC Efficiency (SEER) Pre-1/1/2015 13
AC Efficiency (SEER) Post-1/1/2015 14
Water Heating Water Heating Efficiency (EF) EF=Ce1-Ce2*gallons
Fuel Type Prior 4/16/2015 Post 4/16/2015
Electric Water Heaters Ce1=0.97 Ce2=0.00132 ≥ 20 and ≤ 55gal Ce1=0.96
> 55 and ≤ 120gal Ce1=2.057 ≥ 20 and ≤ 55gal Ce2=0.0003
> 55 and ≤ 120gal Ce2=0.00113
Gas Water Heaters Ce1=0.67 Ce2=0.0019 ≥ 20 and ≤ 55gal Ce1=0.675
> 55 and ≤ 100gal Ce1=0.8012 ≥ 20 and ≤ 55gal Ce2=0.0015
> 55 and ≤ 100gal Ce2=0.0078
Table 121. Optional: Ground Source Heat Pump
Required Measures Minimum Installed EfficiencyEff Baseline EfficiencyBase
Prior 1/1/2015 Post 1/1/2015
Geothermal Heat Pump
Tier 1 14 EER
All Systems All Systems 3 COP
Tier 2 18 EER
11.2 EER 11.8 EER 4 COP
Tier 3 23 EER
2.26 COP 2.4 COP 5 COP
VARIABLE SOURCES:
Table 122. High-Performance Home Package Algorithm Sources
Algorithm Inputs Algorithm Sources
COPBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERBase Calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff
COPEff Entered from application form or AHRI database.
CAP Entered from application form or AHRI database.
EFLH Inferred from the 2011 Assessment of Potential.
SF Based on proper refrigerant charge, evaporator airflow, and unit sizing; Cadmus analysis.
Unit Entered from application form.
Tout CPUC Residential Retrofit—High-Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
Tmains Averaged monthly water main temperature calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20.
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Algorithm Inputs Algorithm Sources
http://www.nrel.gov/docs/fy10osti/47246.pdf; Water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines.
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Multifamily Program Table 123. Multifamily Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Nonresidential electric Nonresidential natural gas
Customer Status Property owner or property manager with owner’s approval
Property owner or property manager with owner’s approval
Building Type Multifamily Multifamily
Building Vintage Existing and new construction Existing and new construction
Geography IPL’s Iowa service territory IPL’s Iowa service territory
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Direct-Install: Low-Flow Showerhead
Measure Description A low-flow showerhead reduces the flow rate of the showerhead fixture, reducing hot water demand and consequently reducing energy required to heat water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard faucet without an aerator installed.
Efficiency Qualification Direct-install (1.5 GPM)
Required Rebate Application Inputs
Number of low-flow showerheads installed.
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Low-Flow Showerhead
Where: SavingsPerUnit = Average annual unit energy savings from a low-flow
showerhead in kWh/unit/year or therms/unit/year =
See Table 124
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Low-Flow Showerhead
Where:
Annual kWh = Annual kWh savings from a low-flow showerhead = Calculated Annual Therms = Annual therms savings from a low-flow showerhead = Calculated
CF = Peak Coincidence Factor = See Table 125 ALGORITHM VARIABLES:
Table 124. Annual Savings From a Low-Flow Showerhead
SavingsPerUnit [kWh/unit/year] SavingsPerUnit [Therms/unit/year]
264 12
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Table 125. Peak Coincidence Factor
End Use Multifamily
Water Heat (Electric) 0.00009959
Water Heat (Gas) 0.00290604
VARIABLE SOURCES:
Table 126. Low-Flow Showerhead Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 124. Annual Savings From a Low-Flow Showerhead
Weighted average (for different building types) of custom calculation, based on algorithm found in PA Technical Reference Manual 2013, pg. 42.
Table 125. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Faucet Aerators
Measure Description
A faucet aerator can be attached to the faucet head to aerate the water stream while lowering the flow rate, without altering the perceived water pressure. This reduces hot water demand and energy required to heat water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard faucet without an aerator installed.
Efficiency Qualification Direct-install (1.5 GPM)
Required Rebate Application Inputs
Number of faucet aerators installed.
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Faucet Aerator
Where: SavingsPerUnit = Average annual unit energy savings from faucet aerator in
kWh/unit/year or therms/unit/year =
See Table 127
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Faucet Aerator
Where:
Annual kWh = Annual kWh savings from faucet aerator = Calculated Annual Therms = Annual therms savings from faucet aerator = Calculated
CF = Peak Coincidence Factor = See Table 128 ALGORITHM VARIABLES:
Table 127. Annual Savings From Faucet Aerator
SavingsPerUnit [kWh/unit/year] SavingsPerUnit [Therms/unit/year]
53 2.5
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Table 128. Peak Coincidence Factor
End Use Multifamily
Water Heat (Electric) 0.00009959
Water Heat (Gas) 0.00290604
VARIABLE SOURCES:
Table 129. Faucet Aerator Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 127. Annual Savings From Faucet Aerator
Custom calculation using algorithm found in PA Technical Reference Manual 2013, Pg. 42.
Table 128. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Pre-Rinse Sprayer Valve
Measure Description Low-flow spray valves mix water and air to reduce amounts of water flowing through the spray head, which creates a fine water spray through an inserted screen in the spray head.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard flow-rate, pre-rinse sprayer valve.
Efficiency Qualification Direct-install.
Required Rebate Application Inputs
Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Pre-Rinse Sprayer Valve
Where:
PRSVSavings = Average annual unit energy savings from low-flow pre-rinse sprayer valves in kWh/unit/year or therms/unit/year
=
See Table 130
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Pre-Rinse Sprayer Valve
Where:
Annual kWh = Annual kWh savings from pre-rinse sprayer valve = Calculated Annual Therms = Annual therms savings from pre-rinse sprayer valve = Calculated
CF = Peak Coincidence Factor = See Table 131 ALGORITHM VARIABLES:
Table 130. Annual Savings From Pre-Rinse Sprayer Valve
PRSVSavings [kWh/unit/year] PRSVSavings [Therms/unit/year]
447 20
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Table 131. Peak Coincidence Factor
End Use Multifamily
Water Heat (Electric) 0.00009959
Water Heat (Gas) 0.00290604
VARIABLE SOURCES:
Table 132. Pre-Rinse Sprayer Valve Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 130. Annual Savings From Pre-Rinse Sprayer Valve
Water main data for Des Moines, based on NREL methodology. Average of metered data from five sources, all referenced in: RTF UES Measures and Supporting Documentation—Commercial: Cooking Equipment—Pre-Rinse Spray Valves Version 1.1: http://rtf.nwcouncil.org/measures/measure.asp?id=100
Units Entered from application form.
Table 131. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Programmable Thermostat
Measure Description A programmable thermostat controls setpoint temperatures automatically, ensuring HVAC systems do not run during low-occupancy hours.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Manual thermostat without a programmable feature.
Efficiency Qualification Direct-Install
Required Rebate Application Inputs
Existing HVAC equipment (heating system and cooling system).
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Natural Gas Savings kWh/Therms—Programmable Thermostat
Where:
UESElectric = Unit Electric Energy Savings by end-use equipment type = See Table 133 UESGas = Unit Gas Energy Savings by end-use equipment type = See Table 133
Unit = Number of units installed Electric/Natural Gas Demand Savings Peak kW/Therms—Programmable Thermostat
Where:
UDSCFElectric = Peak Coincidence Factor x Unit Demand Savings; central air conditioner and air source heat pumps peak demand savings by end-use equipment type
= See Table 134
UDSCFGas = Peak Coincidence Factor x Unit Demand Savings; gas equipment peak demand savings by end-use equipment type
= See Table 134
Unit = Number of units installed ALGORITHM VARIABLES:
Table 133. UES by End-use Equipment Type
Building Type Vintage End Use End-use Equipment UESElectric
(kWh/year)
Manufactured Existing Cooling Central Air Conditioner 66
Multifamily Existing Cooling Central Air Conditioner 45
Single-family Existing Cooling Central Air Conditioner 80
Manufactured Existing Heat Central Electric Furnace and Electric Baseboard 445
Multifamily Existing Heat Central Electric Furnace and Electric Baseboard 300
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Building Type Vintage End Use End-use Equipment UESElectric
(kWh/year)
Multi Family Existing Cooling Central Air Conditioner 45
Multi Family Existing Heat Central Electric Furnace and Electric Baseboard 300
Multi Family Existing Heat Pump Air Source Heat Pump 264
Multi Family Existing Heat Pump - Cooling Air Source Heat Pump 45
Multi Family Existing Heat Pump - Heating Air Source Heat Pump 219
Multi Family Existing Heat Pump Ground Source Heat Pump 153
Multi Family Existing Heat Pump - Cooling Ground Source Heat Pump 26
Multi Family Existing Heat Pump - Heating Ground Source Heat Pump 127
Building Type Vintage Existing End-use Equipment UESGas
(Therms/year)
Multi Family Existing Central Heat Heat Central Furnace 12
Multi Family Existing Central Heat Heat Central Boiler 19
Table 134. Peak Coincidence Factor x Unit Demand Savings, by Equipment Type
Building Type Vintage End Use End-use Equipment UDSCFElectric
(kW)
Multi Family Existing Cooling Central Air Conditioner 0.0429
Multi Family Existing Heat Central Electric Furnace and Electric Baseboard 0.0000
Multi Family Existing Heat Pump Air Source Heat Pump 0.0429
Multi Family Existing Heat Pump - Cooling Air Source Heat Pump 0.0429
Multi Family Existing Heat Pump - Heating Air Source Heat Pump 0.0000
Multi Family Existing Heat Pump Ground Source Heat Pump 0.0243
Multi Family Existing Heat Pump - Cooling Ground Source Heat Pump 0.0243
Multi Family Existing Heat Pump - Heating Ground Source Heat Pump 0.0000
Building Type Vintage Existing End-use Equipment UDSCFGas
(Peak Therms)
Multi Family Existing Central Heat Heat Central Furnace 0.10993
Multi Family Existing Central Heat Heat Central Boiler 0.17093
VARIABLE SOURCES:
Table 135. Programmable Thermostat Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 133. UES by End-use Equipment Type
Calculated using average heating system consumption and the savings factor (percentage values). Cooling savings factors and heating savings factors were determined based on engineering research. Heating savings ranged from 3% to 6.2% in various TRMs and the retired ENERGY STAR Calculator. Cooling savings ranged from 2% to 9% in various TRMs and the retired ENERGY STAR Calculator. Conservative savings of 3.5% were assumed for both. Peak Demand CF values, derived from the 2011 Assessment of Potential, and were incorporated into the calculations.
Table 134. Peak Coincidence Factor x Unit Demand Savings, by Equipment Type
Units Entered from application form.
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Direct-Install: Water Heater Pipe Insulation
Measure Description Water heater pipe insulation reduces heat loss from pipes, thereby increasing efficiency and reducing the amount of required heating energy.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater pipe insulation without insulation (bare pipe; below code).
Efficiency Qualification Direct-Install
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Pipe Insulation
Where: ElectricSavingsPerInstall = Annual kWh savings per 6 ft of pipe insulation = 61.18
GasSavingsPerInstall = Annual therms savings per 6 ft of pipe insulation = 2.67 ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Water Heater Pipe Insulation
Where:
CF = Peak Coincidence Factor = See Table 136
ALGORITHM VARIABLES:
Table 136. Peak Coincidence Factor
End Use Multifamily
Water Heat (Electric) 0.00009959
Water Heat (Gas) 0.00290604
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VARIABLE SOURCES:
Table 137. Water Heater Pipe Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerInstall Temperatures were averaged into 3-foot increments, and ran through the 3E Plus v4.0 to determine heat loss: http://www.pipeinsulation.org/ Runs were completed for horizontal and vertical and for each ambient air temperature. With reference to ASHRAE Fund 2009, Table 23.16 for copper heat loss tables, data from 3E Plus were weight-averaged into three savings estimates: for conditioned space (winter, summer) and unconditioned space.
GasSavingsPerInstall
Table 136. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Water Heater Temperature Setback
Measure Description
Thermostat setbacks for water heaters achieve behavioral changes of setting water heater temperatures to a lower set temperature of 120 degrees. End-use savings are realized when end-use set temperatures equal or exceed the water heater thermostat set temperature.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater set temperature of 126.5 degrees.
Efficiency Qualification Direct-Install; water heater temperature turned down to 120 degrees.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Behavioral Change
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Temperature Setback
Where: ElectricSavingsPerInstall = Annual kWh savings from water heater temperature
setbacks for electric storage water heaters = 81.66
GasSavingsPerInstall = Annual therms savings from water heater temperature setbacks for gas storage water heaters
= 4.63
Units = Number of units with water heater temperatures turned down
ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Water Heater Temperature Setback
Where:
CF = Peak Coincidence Factor = See Table 138
ALGORITHM VARIABLES:
Table 138. Peak Coincidence Factor
End Use Multifamily
Water Heat (Gas) 0.00290604
Water Heat (Electric) 0.00009959
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VARIABLE SOURCES:
Table 139. Water Heater Temperature Setback Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerUnit
Savings percentage values were averaged from the following state TRMs and applied to the typical energy use of a water heater with a baseline set temperature of 126.5 degrees. -Efficiency Vermont Technical Reference User Manual, pg.405: http://www.greenmountainpower.com/upload/photos/371371TRM_User_Manual_No_2013-82-5-protected.pdf -Efficiency Maine Residential Technical Reference Manual, pg.24: http://www.efficiencymaine.com/docs/EMT-TRM_Residential_v2014-1.pdf -Massachusetts Technical Reference Manual PY 2013-2015, pg.317: http://www.ma-eeac.org/Docs/8.3_TRMs/1MATRM_2013-15%20PLAN_FINAL.pdf
GasSavingsPerUnit
Table 138. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Water Heater Tank Wrap
Measure Description Water heater tank wrap reduces the heat loss from the water heater to the surroundings during standby mode, thereby increasing the efficiency and reducing the amount of required heating energy.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater without prior additional insulation
Efficiency Qualification Direct-Install; tank wrap insulation adds insulation equivalent to R-13 to the water heater
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Tank Wrap
Where: ElectricSavingsPerInstall = Annual kWh savings per installation of a tank wrap = 75.49
GasSavingsPerInstall = Annual therms savings per installation of a tank wrap = 5.20 Units = Number of units installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Water Heater Tank Wrap
Where:
CF = Peak Coincidence Factor = See Table 140
ALGORITHM VARIABLES:
Table 140. Peak Coincidence Factor
End Use Multifamily
Water Heat (Gas) 0.00290604
Water Heat (Electric) 0.00009959
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VARIABLE SOURCES:
Table 141. Water Heater Tank Wrap Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerUnit Calculated as the difference in the energy required to recover the heat loss from the tanks; a bare uninsulated tank with R-15 is compared to a tank with insulation of R-13 in addition to the R-15 tank. GasSavingsPerUnit
Table 140. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: CFLs and LEDs
Measure Description Savings are captured by installing compact fluorescent lamps (CFL) and lighting emitting diodes (LED) that require less power than incandescent lamps.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent lamps
Efficiency Qualification Direct-Install; Qualified CFLs and LEDs
Required Rebate Application Inputs
-Efficient lamp quantity -Hours of use or building type group
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
Table 142. Qualified Bulbs for Multifamily Direct-Install Program
Bulb Type Qualified Bulb
CFL 14W A-FRAME A19
CFL Flood R30 16W, 15 W /ELXR30/27K
CFL 19W CFL Standard Spiral
CFL GLOBE CFL 15W/G28
CFL 3 Way CFL 13/20/25W
CFL 32W CFL High Watt
CFL R20/14W Reflector
LED LED A-19 12W Dimmable
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh - Efficient Lighting - CFLs and LEDs
Where: BulbSavings = Average annual unit energy savings by qualified bulb = See Table 143
Units = Number of efficient bulbs Electric Demand Savings Peak kW - Efficient Lighting - CFLs and LEDs
Where:
Annual kWh = Annual kWh savings from efficient lighting bulb(s) CF = Peak Coincidence Factor = SeeTable 144
ALGORITHM VARIABLES:
Table 143. CFLs and LEDs Energy Savings
CFL Lamp Type CFL Energy Savings [kWh/year/lamp]
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CFL Lamp - 14W A-FRAME A19 28.57
CFL Lamp - Flood R30 16W, 15 W /ELXR30/27K 48.27
CFL Lamp - 19W CFL Standard Spiral 33.49
CFL Lamp - GLOBE CFL 15W/G28 27.58
CFL Lamp - 3 Way CFL 13/20/25W 54.18
CFL Lamp - 32W CFL High Watt 39.40
CFL Lamp - R20/14W Reflector 28.57
LED Bulb - LED A-19 12W Dimmable 30.54
Table 144. Peak Coincidence Factor
End Use Multifamily
Lighting 0.00006782
VARIABLE SOURCES:
Table 145. Efficient Lighting – CFLs and LEDs Algorithm Sources
Algorithm Inputs Algorithm Sources
BulbSavings
Analysis based on baseline assumptions of EISA compliant bulbs of lumen equivalent to the CFL bulb. Hours based on WECC assumptions from 2014 Be-Bright program based on WECC documentation provided to IPL on 12/24/2013 - "IA Savings Table_2013" (Updated for 2014).
Units Entered from application form.
Table 143. CFLs and LEDs Energy Savings
Inferred from the 2011 Assessment of Potential.
Table 144. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: LED Exit Sign
Measure Description LED exit signs use low wattage of power and last over 50,000 hours, while CFL exit signs can use two to four times more power and have a shorter life.
Fuel Electric
End Use Lighting
Baseline Equipment Existing exit signs with CFLs installed.
Efficiency Qualification -Existing construction only. -Must replace incandescent or CFL exit sign. -Direct-install. (Total 2.4 Wattage – 1.2 watts per side)
Required Rebate Application Inputs
-Number of units. -Replacement exit sign type (CFL or Incandescent). -Installed exit sign type (LED).
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Exit Sign
Where:
ExitSignSavings = Average annual unit energy savings from LED exit sign in kWh/unit/year
= 228
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED Exit Sign
Where:
Annual kWh = Annual kWh savings from LED exit sign = Calculated CF = Peak Coincidence Factor = See Table 146
ALGORITHM VARIABLES:
Table 146. Peak Coincidence Factor
End Use Multifamily
Lighting 0.00006793
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VARIABLE SOURCES:
Table 147. LED Exit Sign Algorithm Sources
Algorithm Inputs Algorithm Sources
ExitSignSavings
Ratio of incandescent exit signs to all incandescent, fluorescent, and LED exit signs. Rensselaer Polytechnic Institute and Lighting Research Center, estimated that 90% of eligible exit signs were incandescent (2005). WI Focus on Energy, “Business Programs: Deemed Savings Manual V1.0.” Update Date: March 22, 2010. LED Exit Sign. "2010 U.S. Lighting Market Characterization" January 2012: http://apps1.eere.energy.gov/buildings/publications/pdfs/ssl/2010-lmc-final-jan-2012.pdf
Units Entered from application form.
Table 146. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Advanced Power Strips
Measure Description
Savings are captured by load sensing advanced power strips (APS) also known as smart strips. Smart strips typically have one master or controller outlet, several controlled or switched outlets, and one or two uncontrolled or always-on outlets. The controlled outlets will automatically stop drawing power when the homeowner turns off the controller device. This creates energy savings by reducing the power draw from the controlled devices’ standby mode.
Fuel Electric
End Use Plug Load
Baseline Equipment Standard power strips
Efficiency Qualification Direct-Install; Qualified 4 to 8-plug advanced power strips
Required Rebate Application Inputs
-Number of advanced power strips -Application for advanced power strips: home office or home entertainment system
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Advanced Power Strips
Where: APSSavings = Average annual unit energy savings by type = SeeTable 148
Units = Number of power strips Electric Demand Savings Peak kW— Advanced Power Strips
Where:
Annual kWh = Annual kWh savings from CFL lamps CF = Peak Coincidence Factor = See Table 149
ALGORITHM VARIABLES:
Table 148. Advanced Power Strips for Different Systems
Average [kWh/yr/APS] Home Office [kWh/yr/APS] Home Entertainment System
[kWh/yr/APS]
57.5 31.0 75.1
Table 149. Peak Coincidence Factor
End Use Multifamily
Plug Load 0.00011418
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VARIABLE SOURCES:
Table 150. Advanced Power Strips Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 148. Advanced Power Strips for Different Systems
Inferred from the 2011 Assessment of Potential.
Table 149. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Leave Behind Energy Kit
Measure Description
Each participating student receives an Energy Kit containing easy-to-install, energy-efficient items. The kits are distributed as leave behind measures to tenants who do not partake in the direct install/audit walk through.
4-13w GE CFLs
1-20w GE CFLs
2-26w GE CFLs
1-LED nightlights
1-Waterpik low flow showerhead
2-Faucet aerators
4-Aerator adaptors
Fuel Electric/Gas
End Use Various
Baseline Equipment Various
Efficiency Qualification -Existing construction only
Required Rebate Application Inputs
-Building Type
Market Opportunity Retrofit
Sector(s) Residential
Program Multifamily Program
ANNUAL ENERGY SAVINGS ALGORITHM: Default kWh/Therms Savings - Multifamily Program - Energy Kit Savings
Where: MeasureElectricSavings = Default annual electric savings per kit, in kWh/year = See Table 151
MeasureGasSavings = Default annual gas savings per kit, in therms/year = See Table 151 Kitsnumber = Number of energy kits provided
Default Peak kW/Peak Therms Savings - Multifamily Program - Energy Kit Savings
Where:
kWSavings = Default peak kW savings per kit, in kWh/year = See Table 151 PeakThermsSavings = Default peak therms savings per kit, in therms/year = See Table 151
Kitsnumber = Number of energy kits provided ALGORITHM VARIABLES:
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Table 151. Default Annual Energy Savings per Energy Kit
Measure MeasureElectricSavings
[kWh/yr] MeasureGasSavings
[Therms/yr] Peak kW
Savings [kW]
Peak Therms Savings [Peak Day Therms]
Energy Kit 189.02 4.35 0.01348 0.01263
VARIABLE SOURCES:
Table 152. Energy Kit Algorithm Sources
Algorithm Inputs Algorithm Sources
Kitsnumber Entered from application form.
Table 151. Default Annual Energy Savings per Energy Kit
Number of measures and fuel type depend on the installation rates of each measure. Installation rates based on EnergyWise and LivingWise programs and average of 2009, 2010, 2011, 2012, and 2013 impact reports; evaluated by Cadmus
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Multifamily New Construction
Measure Description Multifamily New Home Construction
Fuel Electric/Gas
Enduse HVAC/Water Heat
Baseline Equipment See Table 153
Efficiency Qualification -Must achieve a HERS Index of 65 or lower -Must meet IECC 2012 requirements -See Model Assumptions
Required Rebate Application Inputs
-REM/Rate Model Version(in vXX.XX) -Efficiency (in SEER and/or EER) -Home size (in square foot) -Heating Fuel (Gas, Electric, Wood, Propane, Other) -Heating Efficiency (in COP, HSPF, AFUE) -Heating Size (in MBTU/hour) -Cooling Efficiency (in SEER or EER) -Cooling Size (in MBTU/hour) -Water Heating Fuel (Gas, Electric, Wood, Propane, Other) -Water Heating Type (Conventional, Tank-less, Heat Pump Water Heater) -Water Heating Efficiency (in EF) -IECC Climate Zone (in Zone 5 or Zone 6)
Market Opportunity New Construction
Sector(s) Multifamily Residential
Program Multifamily New Construction Program
Table 153. Saving calculation using REM/Rate User Defined Reference Home (UDRH) Feature
Customer Class
Unit Savings (per Apartment Unit)
Building Savings
kWh Therms SqFt kWh Therms SqFt
Alliant Energy Fuel – Gas Heating and Cooling 281.1 55.56 940 3,373.5 666.75 11,280
Alliant Energy Fuel – Electric Heating and Cooling 1,212.9 - 940 14,554.3 - 11,280
Alliant Energy Fuel – Heating only - 55.56 940 - 666.75 11,280
Alliant Energy Fuel – Cooling only 462.8 - 940 5,554.0 - 11,280
Model Assumptions:
Savings were calculated using REM/Rate V14.3.
Two buildings types were modeled, an 8-plex with 960sqft per unit and a 16-plex at 800sqft per unit
And ERV was modeled with a thermal efficiency of 75% and provided ASHRAE 62.2 ventilation requirements
90% CFL lighting was used in all efficient cases
(Gas Home) Furnace 92%AFUE
(Gas Home) Standard Water Heater 0.67 EF
(Gas Home) Air Conditioner 14.5 SEER
(Electric Home) Heat Pump(mini-split) 18 SEER 9 HSPF
(Electric Home) Standard Electric Water Heater EF 0.95
Refrigerator 531 Watts/Year
Dishwasher EF 0.55
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ALGORITHM VARIABLES:
Table 154. Baseline Standard (IECC 2012) for REM/Rates UDRH Feature
Category Construction Type Zone 5 Zone 6
Envelope
Fenestration/Windows (U-Factor) 0.32
Skylight (U-Factor) 0.55
Ceiling (U-Factor) 0.026
Frame Wall (U-Factor) 0.057 0.048
Mass Wall (U-Factor) 0.082 0.06
Floor (U-Factor) 0.033
Basement Wall (U-Factor) 0.05
Crawl Space Wall (U-Factor) 0.055
Infiltration (Air Changes Per Hour) 3
Ducts
Duct Insulation in Attics (R-Value) 8
Duct Insulation in other spaces (R-Value) 6
Total Duct Leakage (cfm/100sq-ft) 4
Lighting Lighting (% high-efficacy) 80%
Heating
Furnace Efficiency (AFUE) 80%
Boiler Efficiency (AFUE) 82%
Heat Pump Efficiency (HSPF) Pre 1/1/2015 7.7
Heat Pump Efficiency (HSPF) Post 1/1/2015 8.2
Cooling AC Efficiency (SEER) Pre 1/1/2015 13
AC Efficiency (SEER) Post 1/1/2015 14
Water Heating Water Heating Efficiency (EF) EF=Ce1-Ce2*gallons
Fuel Type Prior 4/16/2015 Post 4/16/2015
Electric Water Heaters Ce1=0.97 Ce2=0.00132 ≥ 20 and ≤ 55gal Ce1=0.96
> 55 and ≤ 120gal Ce1=2.057 ≥ 20 and ≤ 55gal Ce2=0.0003
> 55 and ≤ 120gal Ce2=0.00113
Gas Water Heaters Ce1=0.67 Ce2=0.0019 ≥ 20 and ≤ 55gal Ce1=0.675
> 55 and ≤ 100gal Ce1=0.8012 ≥ 20 and ≤ 55gal Ce2=0.0015
> 55 and ≤ 100gal Ce2=0.0078
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Weatherization Program Table 155. Weatherization Program Overview
Eligible Customers
Customer Class Residential electric or natural gas
Customer Status Homeowners and renters (with landlord approval)
Building Type Single-family; duplex
Building Vintage All
Geography Iowa: IPL, MEC, or BHE service territories
Other households < 200% of the federal poverty level (FPL)
The Weatherization Program is a collaborative utility program, implemented jointly through the Iowa
Utility Association (IUA). IPL contributes program funding through the Iowa Department of Human
Rights (DHR), which in turn, supports CAP agencies to perform energy assessments and purchase and
install qualifying energy-efficiency measures in residences occupied by low-income families.
The Weatherization Program is delivered to homeowners and renters with income levels at or below
200% of the FPL. Homes occupied by the elderly, disabled, and families with children under the age of
six receive priority for weatherization assistance, as do households with high energy usage. The CAP
agencies market and deliver the program to low-income customers, and the DHR’s Division of
Community Action Agencies administers the program.
The program provides a comprehensive home energy audit and the installation of cost-effective energy-
efficiency measures, including: wall, attic, and foundation insulation; furnace replacement; refrigerator
and freezer replacement and/or removal; water heater replacement; water heater insulation wrap; hot
water pipe insulation; low-flow showerheads; faucet aerator replacement; and CFLs. Other services
provided falling outside the involvement of the utilities include: evaluation of the health and safety of
the home; exhaust ventilation; installation of smoke and carbon monoxide detectors; and some minor
home repairs. Customers receive all measures free of charge. Upon completion of weatherization work
and equipment installation, CAP agencies conduct a final home inspection to ensure quality work.
CAP agencies track and capture all savings and provided these to the IPL for program tracking. The SRM
does not summarize measure algorithms for this program.
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EnergyWise Education Program Table 156. EnergyWise Education Program Overview
Eligible Customers
Customer Class Residential electric or natural gas
Customer Status Homeowners and renters
Building Type All
Building Vintage All
Geography IPL, MEC, or BHE service territory
Other Households > 200% of FPL
IPL, BHE, and MEC jointly implement the EnergyWise Education Program through the IUA. The adult
energy education initiative strives to increase energy awareness among low-income customers, thus
improving efficiency and reducing their energy expenditures. Local CAP agencies provide energy
education workshops for participating households. Participants receive a free kit, containing multiple
low-cost, easy-to-install, energy-efficiency measures and a survey about participants’ experience with
the program.
Eligible households, with incomes at or below 200% of the FPL, receive the program free of charge.
Participants may be renters or homeowners.
CAP agencies track participation. The Cadmus Group evaluates the energy savings for this program
annually and provides these to the IPL for program tracking. The SRM does not summarize measure
algorithms for this program.
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Low-Income Multifamily and Institutional Efficiency
Improvements Program Table 157. Low-Income MIEI Program Overview
Eligible Customers
Customer Class Residential and nonresidential electric and natural gas where IPL provides the primary heating fuel
Customer Status Property owner
Building Type Multifamily; Institutional
Building Vintage All
Geography IPL’s Iowa service territory
Other Building meets Section 8 housing qualifications
Through its Multifamily and Institutional Efficiency Improvements (MIEI) Program, IPL provides funding
to support energy-efficiency improvements in eligible multifamily properties and institutional facilities
where low-income customers reside. MIEI includes two components:
1. A free assessment with direct-installation of low-cost, energy-efficiency measures for tenant
units and common areas; and
2. Enhanced prescriptive rebates for multifamily buildings that meet Section 81 housing
qualifications.
The program offers a comprehensive energy assessment and direct-install measures at no cost to
customers. IPL determines incentives on a per-measure basis; however, the total utility incentive for
each project is targeted to be 40% of the total cost of upgrades.
IPL administers and implements the program with support from a program contractor. IPL also
coordinates this program with MEC, BHE, and the IUA. The program contractor tracks and captures all
savings and provides these for IPL’s program tracking. The SRM does not summarize measure algorithms
for this program.
1 Defined as housing with four or more units, where a minimum of 60% of residents meet federal
qualifications for receiving low-income assistance.
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Home Energy Savers Program Table 158. Home Energy Savers Program Overview
Eligible Customers
Customer Class Residential electric or natural gas
Customer Status Homeowners
Building Type Single-family
Building Vintage All
Geography IPL’s Iowa service territory
Other IPL must provide heating fuel; Limited income customers
Initially launched in 2010 as a pilot in two communities, and called the Targeted Residential Energy
Efficiency Opportunity, the Home Energy Savers (HES) Program is IPL’s newest offering to support
limited-income customers. By raising the program income eligibility threshold, IPL extends
weatherization services to limited-income customers who receive their heating fuel from IPL. The
program strives to encourage energy-efficient practices in the homes of limited-income customers,
defined as households with incomes that 50% to 100% above the current limit associated with federal
weatherization assistance guidelines. CAP agencies market and deliver HES to these limited-income
customers.
IPL pays the full cost for audits and direct-installation measures, and covers 90% of the installed cost of
energy-efficiency measures recommended by CAP agency energy auditors. Eligible measures include:
wall, attic, and foundation insulation; furnace replacement; refrigerator and freezer replacement and/or
removal; water heater replacement; water heater insulation wrap; pipe insulation; low-flow
showerheads; faucet aerator replacement; and CFLs. CAP agencies may also evaluate the health and
safety of a home,2 install smoke and carbon monoxide detectors, and perform minor home repairs.
Upon completion of weatherization work and equipment installation, the CAP agency conducts a final
home inspection to ensure quality work.
CAP agencies track and capture all savings, and provide these to the IPL for program tracking. The SRM
does not summarize measure algorithms for this program.
2 Health and safety services are supported with non-utility funds.
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Nonresidential Prescriptive Rebates Program Table 159. Nonresidential Prescriptive Rebates Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Nonresidential electric Nonresidential natural gas
Customer Status All All
Building Type Nonresidential Nonresidential
Building Vintage All All
Geography IPL’s Iowa service territory IPL’s Iowa service territory
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Appliance: Commercial Clothes Washer
Measure Description ENERGY STAR Commercial Clothes Washer with a modified energy factor (MEF)/water factor (WF) of 2.2/4.5.
Fuel Electric/Gas
End Use Commercial Laundry
Baseline Equipment Commercial clothes washer.
Efficiency Qualification -ENERGY STAR-rated. -Minimum ENERGY STAR MEF and WF values used to determine savings: MEF ≥ 2.2 ; WF ≤ 4.5.
Required Rebate Application Inputs
-Water heater fuel type. -Dryer fuel type. -MEF: modified energy factor. -WF: water factor (gallons per cycle per cubic foot).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM:
Electric Savings kWh—Commercial Clothes Washer
Where: Saving/Unit = Per unit electric savings based on equipment type = See Table 160
Unit = Number of rebated units
Natural Gas Savings Therms—Commercial Clothes Washer
Where: Savings/Unit = Per unit natural gas savings based on equipment type = See Table 160
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Commercial Clothes Washer
Where: Annual kWh = Annual electric savings from commercial clothes washer
replacement = Calculated
CF = Peak Coincidence Factor = See Table 161
Natural Gas Demand Savings Peak Therms/hr—Commercial Clothes Washer
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Where: Annual Therms = Annual gas savings from commercial clothes washer
replacement = Calculated
CF = Peak Coincidence Factor = See Table 161 ALGORITHM VARIABLES:
Table 160. Electric Savings of Commercial Clothes Washer
Water Heater/Dryer Fuel Type Savings/Unit (kWh) Savings/Unit (Therms)
Electric Water Heater & Electric Dryer 1,045 0
Electric Water Heater & Gas Dryer 804 8
Gas Water Heater & Gas Dryer 161 37
Gas Water Heater & Electric Dryer 402 29
Gas Water Heater & No Dryer 161 29
Electric Water Heater & No Dryer 804 0
Table 161. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 162. Commercial Clothes Washer Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 3. Peak Coincidence Factor Inferred from the 2011 Assessment of Potential.
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Appliance: Commercial Dishwasher
Measure Description
-ENERGY STAR high-temperature commercial dishwashers, with a minimal idle rate, amount of water consumption per rack of loaded dishes, and more efficient operations. -ENERGY STAR, low-temperature commercial dishwashers use chemicals, combined with low temperatures, to save energy.
Fuel Electric/Gas
End Use Commercial Dishwasher
Baseline Equipment Commercial dishwasher.
Efficiency Qualification -ENERGY STAR-rated. -Specific qualifications found in Table 163.
Required Rebate Application Inputs
-Water heater fuel type (electric or gas). -Dishwasher temperature (low or high temperature). -Dishwasher type (under counter; stationary single-tank door; single-tank conveyor; multi tank conveyor; pot, pan, and utensil). -Booster heater fuel type (electric or gas).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
Table 163. Specifications for Efficiency Qualification
Machine Type High Temp Efficiency Requirements Low Temp Efficiency Requirements
Idle Energy Rate Water
Consumption Idle Energy Rate
Water Consumption
Under Counter ≤ 0.50 kW ≤ 0.86 GPR ≤ 0.50 kW ≤ 1.19 GPR
Stationary Single Tank Door ≤ 0.70 kW ≤ 0.89 GPR ≤ 0.60 kW ≤ 1.18 GPR
Pot, Pan, and Utensil ≤ 1.20 kW ≤ 0.58 GPSF ≤ 1.00 kW ≤ 0.58 GPSF
Single Tank Conveyor ≤ 1.50 kW ≤ 0.70 GPR ≤ 1.50 kW ≤ 0.79 GPR
Multiple Tank Conveyor ≤ 2.25 kW ≤ 0.54 GPR ≤ 2.00 kW ≤ 0.54 GPR
ANNUAL ENERGY SAVINGS ALGORITHM:
Electric Savings kWh—Commercial Dishwasher
Where:
Savings/Unit = Per unit savings based on equipment type and temperature
= See Table 164
Unit = Number of rebated units
Gas Savings Therms—Commercial Dishwasher
Where:
Savings/Unit = Per unit savings based on equipment type and temperature
= See Table 165
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM:
Interstate Power and Light Savings Reference Manual
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Electric Demand Savings Peak kW—Commercial Dishwasher
Where: Annual kWh = Annual kWh savings from commercial dishwasher
replacement = Calculated
CF = Peak Coincidence Factor = See Table 166 Gas Demand Savings Peak Therms/hr—Commercial Dishwasher
Where: Annual Therms = Annual Therms savings from commercial dishwasher
replacement = Calculated
CF = Peak Coincidence Factor = See Table 166 ALGORITHM VARIABLES:
Table 164. Electric Savings of Commercial Dishwasher
Machine Type
Savings/Unit
Electric Water Heat & Electric Booster (kWh)
Electric Water Heat & Gas Booster (kWh)
Gas Water Heat & Electric Booster (kWh)
Low Temperature
Under Counter 2,540 2,540 NA
Stationary Single-Tank Door 16,153 16,153 NA
Single-Tank Conveyor 13,626 13,626 NA
Multi-Tank Conveyor 18,811 18,811 NA
High Temperature
Under Counter 3,171 2,553 2,089
Stationary Single-Tank Door 11,863 7,850 4,840
Single-Tank Conveyor 9,212 6,775 4,948
Multi-Tank Conveyor 27,408 18,163 11,230
Pot, Pan, and Utensil 3,311 2,107 1,204
Table 165. Gas Savings of Commercial Dishwasher
Machine Type
Savings/Unit
Gas Water Heat & Gas Booster (Therms)
Electric Water Heat & Gas Booster (Therms)
Gas Water Heat & Electric Booster (Therms)
Low Temperature
Under Counter 106 NA 106
Stationary Single-Tank Door 675 NA 675
Single-Tank Conveyor 545 NA 545
Multi-Tank Conveyor 786 NA 786
High Temperature
Under Counter 71 26 45
Stationary Single-Tank Door 461 168 294
Single-Tank Conveyor 280 102 178
Multi-Tank Conveyor 1,063 386 676
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Machine Type
Savings/Unit
Gas Water Heat & Gas Booster (Therms)
Electric Water Heat & Gas Booster (Therms)
Gas Water Heat & Electric Booster (Therms)
Pot, Pan, and Utensil 138 50 88
Table 166. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse,
Other Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 167. Commercial Dishwasher Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 163. Specifications for Efficiency Qualification
ENERGY STAR specifications, effective February 1, 2013: http://www.energystar.gov/index.cfm?c=comm_dishwashers.pr_crit_comm_dishwashers
Table 164. Electric Savings of Commercial Dishwasher
ENERGY STAR Calculator for Commercial Dishwashers, downloaded 9/9/2013: http://www.energystar.gov/index.cfm?fuseaction=find_a_product.showProductGroup&pgw_code=COH
Table 165. Gas Savings of Commercial Dishwasher
Table 166. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Broiler
Measure Description As infrared waves move heat faster and carry a higher intensity of heat than non-infrared rays, heat targets the foot more effectively. Thus, infrared broilers have higher cooking efficiencies than standard broilers.
Fuel Gas
End Use Cooking
Baseline Equipment A standard broiler.
Efficiency Qualification Infrared broiler.
Required Rebate Application Inputs
-Equipment size (in MBtuh). -Equipment type (charbroiler/upright broiler/salamander).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Broiler
Where: CAP = Rated input energy rate of broiler, in Mbtuh = (8 to 240)
Savings = Per unit gas savings based on broiler configuration, in therms/MBtuh input
= See Table 168
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Broiler
Where: Annual Therms = Annual therms savings from infrared broiler = Calculated
CF = Peak Coincidence Factor = See Table 169 ALGORITHM VARIABLES:
Table 168. Deemed Savings for Various Broiler Configurations
Type Savings [therms/MBtu input]
Underfired Charbroiler 8.40
Overfired Upright Broiler 6.12
Salamander Broiler 9.36
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Table 169. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 - - 0.00259005
VARIABLE SOURCES:
Table 170. Broiler Algorithm Sources
Algorithm Inputs Algorithm Sources
CAP Entered from application form.
Unit Entered from application form.
Table 168. Deemed Savings for Various Broiler Configurations
Inferred savings from Fishnick Broiler Technical Assessment, Foodservice Technology Center, and engineering assumptions.
Table 169. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Convection Oven
Measure Description Commercial ENERGY STAR convection ovens have higher cooking energy efficiencies and lower idle energy rates than standard convection ovens.
Fuel Electric/Gas
End Use Cooking
Baseline Equipment A standard convection oven.
Efficiency Qualification
-Half-size Electric Convection Oven Energy Qualification: ≥70% cooking energy efficiency, <=1.1 kW idle energy rate. -Full-size Electric Convection Oven Energy Qualification: ≥70% cooking energy efficiency, <=1.6 kW idle energy rate. -Gas Convection Oven Energy Qualification: ≥ 44% cooking energy efficiency, Idle Energy Rate <= 13,000 Btu/hr.
Required Rebate Application Inputs
-Convection oven fuel type (electric/gas). -Convection oven configuration (half-size/full-size).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—ENERGY STAR Convection Oven
Where:
SavingsPerUnit = Per unit annual electric/gas savings from ENERGY STAR convection oven
= See Table 171
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—ENERGY STAR Convection Oven
Where:
Annual kWh = Annual kWh savings from ENERGY STAR 165convection oven = Calculated Annual Therms = Annual therms savings from ENERGY STAR convection oven = Calculated
CF = Peak Coincidence Factor = See Table 171 ALGORITHM VARIABLES:
Table 171. Deemed Savings for ENERGY STAR Convection Ovens
Type Fuel Type Savings [therms/MBtu input]
Full-Size Electric 1879
Gas 305.9
Half-Size Electric 1988
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Table 172. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking (Gas) 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
Cooking (Electric) 0.00017323 0.00012932 0.00019243 0.00012416 0.00013081 0.00013081 0.00016867
VARIABLE SOURCES:
Table 173. Convection Oven Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 171. Deemed Savings for ENERGY STAR Convection Ovens
ENERGY STAR Commercial Kitchen Equipment Calculator: http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/commercial_kitchen_equipment_calculator.xlsx
Table 172. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Conveyor Oven
Measure Description
Conveyor ovens (high-efficiency) operate at 42% efficiency, compared to a standard conveyor oven at 20% efficiency. Ovens can use different heating processes: infrared, natural convection, forced convection, or a combination of heating processes.
Fuel Gas
End Use Cooking
Baseline Equipment A standard conveyor oven at 20% efficiency.
Efficiency Qualification
-Gas Conveyor Energy Qualification: Minimum cooking efficiency of 42% under heavy load, idle rate (Btu/hr) is < 57,000. -Qualifying large gas conveyor oven models (≥ 25" wide) must meet or exceed baking energy efficiency of ≥42% and an idle energy rate ≤ 57,000 Btu/h, utilizing ASTM Standard F1817. -Qualifying small gas conveyor oven models (< 25" wide) must meet or exceed baking energy efficiency of ≥42% and an idle energy rate ≤ 29,000 Btu/h, utilizing ASTM Standard F1817.
Required Rebate Application Inputs
-Idle energy rate in Btu per hour. -Cooking efficiency. -Large or small model.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Conveyor Oven
Where: SavingsPerUnit = Per unit annual gas savings from efficient conveyor oven, in
therms/year/unit = 790
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Conveyor Oven
Where: Annual Therms = Annual therms savings from efficient conveyor oven = Calculated
CF = Peak Coincidence Factor = See Table 174
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ALGORITHM VARIABLES:
Table 174. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
VARIABLE SOURCES:
Table 175. Conveyor Oven Algorithm Sources
Algorithm Inputs Algorithm Sources
SavingsPerUnit Custom analysis based on Food Service Technology Center Gas Conveyor Oven Life-Cycle Cost Calculator: http://www.fishnick.com/saveenergy/tools/calculators/gconvovencalc.php
Unit Entered from application form.
Table 174. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Fryer
Measure Description Commercial ENERGY STAR gas fryers run up to 35% more energy efficiently than standard models.
Fuel Gas
End Use Cooking
Baseline Equipment A standard fryer.
Efficiency Qualification
-Standard Open Deep-Fat Gas Fryers: ENERGY STAR Rated Minimum cooking efficiency of 50% under heavy load, maximum idle energy rate of 9,000 Btu/hr. -Large Vat Open Deep-Fat Gas Fryers: ENERGY STAR Rated Minimum cooking efficiency of 50% under heavy load, maximum idle energy rate of 12,000 Btu/hr. -Split Vat Fryer: A standard or large vat fryer with an internal wall that separates the vat into two equal sides. Must meet the qualifications above for standard and large vats.
Required Rebate Application Inputs
Equipment size.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—ENERGY STAR Fryer
Where: SavingsPerUnit = Annual per unit savings from ENERGY STAR gas fryer,
depending on equipment size = See Table 176
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—ENERGY STAR Fryer
Where: Annual Therms = Annual gas savings from ENERGY STAR gas fryer = Calculated
CF = Peak Coincidence Factor = See Table 177 ALGORITHM VARIABLES:
Table 176. Natural Gas Savings for ENERGY STAR Fryer
Type Savings [therms/MBtu input]
Gas—Standard 505
Gas—Large Vat 428
Gas—Split Vat (Average) 466
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Table 177. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 - - 0.00259005
VARIABLE SOURCES:
Table 178. Fryer Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 176. Natural Gas Savings for ENERGY STAR Fryer
ENERGY STAR Commercial Kitchen Equipment Calculator; Version—Calculator updated on May 2013: http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/commercial_kitchen_equipment_calculator.xlsx
Table 177. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Griddle
Measure Description
Commercial griddles earning the ENERGY STAR label operate about 10% more energy efficiently than standard models due to better controls, higher cooking efficiencies, and lower idle energy rates. ENERGY STAR-qualified griddles also include thermostatically controlled, gas and electric, single- and double-sided models to limit unnecessary run times.
Fuel Gas
End Use Cooking
Baseline Equipment A standard griddle.
Efficiency Qualification -ENERGY STAR-rated. -Minimum cooking efficiency of 38% under heavy load.
Required Rebate Application Inputs
Equipment size.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—ENERGY STAR Griddle
Where: SavingsPerUnit = Annual per unit savings from ENERGY STAR griddle = 118.7
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—ENERGY STAR Griddle
Where: Annual Therms = Annual gas savings from ENERGY STAR griddle = Calculated
CF = Peak Coincidence Factor = See Table 179 ALGORITHM VARIABLES:
Table 179. Peak Coincidence Factor
End Use
Grocery, Convenienc
e Store, and
Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
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VARIABLE SOURCES:
Table 180. Griddle Algorithm Sources
Algorithm Inputs Algorithm Sources
SavingsPerUnit
Weighted average of annual therms savings for different sizes of ENERGY STAR griddles; values obtained from ENERGY STAR Commercial Kitchen Equipment Calculator: http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/commercial_kitchen_equipment_calculator.xlsx
Unit Entered from application form.
Table 179. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Interstate Power and Light Savings Reference Manual
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Cooking: Rotating Rack Oven
Measure Description
As infrared waves move heat more quickly and carry a higher intensity of heat than non-infrared rays, the heat targets food more efficiently. Thus, infrared rotating rack ovens operate at higher cooking efficiencies than standard rotating rack ovens.
Fuel Gas
End Use Cooking
Baseline Equipment A standard rotating rack oven.
Efficiency Qualification Infrared rotating rack oven.
Required Rebate Application Inputs
Equipment type (single or double rack).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Rotating Rack Oven
Where: SavingsPerUnit = Annual per unit gas savings for efficient rotating rack oven = See Table 181
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Rotating Rack Oven
Where: Annual Therms = Annual gas savings from efficient rotating rack oven = Calculated
CF = Peak Coincidence Factor = See Table 182 ALGORITHM VARIABLES:
Table 181. Gas Savings for Efficient Rotating Rack Oven
Type Savings [therms/yr]
Single-Rack 916
Double-Rack 1,854
Type Unknown 1,385
Table 182. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
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VARIABLE SOURCES:
Table 183. Rotating Rack Oven Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 181. Gas Savings for Efficient Rotating Rack Oven
Values for single and double-rack ovens inferred from the Fishnick Gas Rack Oven Life-Cycle Cost Calculator; value for unknown oven type assumed an average between single-rack and double-rack types.
Table 182. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Cooking: Rotisserie Oven
Measure Description
As infrared waves move heat more quickly and carry a higher intensity of heat than non-infrared rays, the heat targets food more efficiently. Thus, infrared rotisserie ovens operate at higher cooking efficiencies than standard rotisserie ovens.
Fuel Gas
End Use Cooking
Baseline Equipment Standard rotisserie ovens.
Efficiency Qualification Rotisserie ovens with infrared burners.
Required Rebate Application Inputs
-Number of units. -Rated energy input of rotisserie oven in kBtu/hr.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Rotisserie Oven
Where:
REI = Rated energy input of efficient oven, in Btu/hr = (20,000 to 120,000) SavingsRotisserieOven = Deemed savings for efficient oven, per kBtu/hr input = 4.35
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Rotisserie Oven
Where: Annual Therms = Annual therms savings from efficient Rotisserie Oven = Calculated
CF = Peak Coincidence Factor = See Table 184 ALGORITHM VARIABLES:
Table 184. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
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VARIABLE SOURCES:
Table 185. Rotisserie Oven Algorithm Sources
Algorithm Inputs Algorithm Sources
REI Entered from application form or obtained from model number specification sheet.
SavingsRotisserieOven Source: Inferred calculation from Fishnick Oven Technical Assessment, Table 7-2: http://www.fishnick.com/equipment/techassessment/7_ovens.pdf
Unit Entered from application form.
Table 184. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Cooking: Steam Cooker
Measure Description Commercial ENERGY STAR steam cookers operate at higher cooking efficiencies and lower idle energy rates than standard steam cookers.
Fuel Electric/Gas
End Use Cooking
Baseline Equipment A standard steam cooker.
Efficiency Qualification
-Electric Steam Cooker Energy Qualification (3-pan): ENERGY STAR Rated (≥50% cooking efficiency, idle energy rate < 400 watts). -Electric Steam Cooker Energy Qualification (4-pan): ENERGY STAR Rated (≥50% cooking efficiency, idle energy rate < 530 watts). -Electric Steam Cooker Energy Qualification (5-pan): ENERGY STAR Rated (≥50% cooking efficiency, idle energy rate < 670 watts). -Electric Steam Cooker Energy Qualification (6-pan or larger): ENERGY STAR (≥50% cooking efficiency, idle energy rate < 800 watts). -Gas Steam Cooker Energy Qualification (3-pan): ENERGY STAR Rated (≥38%cooking energy efficiency, idle rate < 6,250 Btu/hr). -Gas Steam Cooker Energy Qualification (4-pan): ENERGY STAR Rated (≥38%cooking energy efficiency, idle rate < 8,350 Btu/hr). -Gas Steam Cooker Energy Qualification (5-pan): ENERGY STAR Rated (≥38%cooking energy efficiency, idle rate < 10,400 Btu/hr). -Gas Steam Cooker Energy Qualification (6-pan or larger): ENERGY STAR (Rated ≥38%cooking energy efficiency, idle rate < 12,500 Btu/hr).
Required Rebate Application Inputs
Equipment size (number of pans).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—ENERGY STAR Steam Cooker
Where: SavingsPerUnit = Annual per unit electric/gas savings for ENERGY STAR steam
cooker based on number of pans = See Table 186
Unit = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—ENERGY STAR Steam Cooker
Where:
Annual kWh Annual electric savings from ENERGY STAR steam cooker = Calculated Annual Therms = Annual gas savings from ENERGY STAR steam cooker = Calculated
CF = Peak Coincidence Factor = See Table 187
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ALGORITHM VARIABLES:
Table 186. Energy Savings for ENERGY STAR Steam Cookers
Size (Number of Pans) kWh Savings [kWh/yr] Therms Savings [therms/yr]
3 3,758 145
4 4,818 172
5 5,879 199
6 6,940 225
10 11,185 332
Average 5,879 225
Table 187. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking (Gas) 0.00307372 0.00293772 0.00345493 0.00052694 – – 0.00259005
Cooking (Electric) 0.00017323 0.00012932 0.00019243 0.00012416 0.00013081 0.00013081 0.00016867
VARIABLE SOURCES:
Table 188. Steam Cookers Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 186. Energy Savings for ENERGY STAR Steam Cookers
ENERGY STAR Commercial Kitchen Equipment Calculator: http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/commercial_kitchen_equipment_calculator.xlsx
Table 187. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Hotel: Hotel Key Card Activated Systems
Measure Description
This key card system controls room HVAC and lighting during non-occupied periods. Occupancy is determined by the presence of a key card and/or additional sensors. The central system sets heating and cooling to a minimum, and turns off lighting when the key card is removed. Once the guest returns and inserts the key card, the guest has full control of the room systems. Savings are captured by reduced HVAC and lighting consumption during non-occupied periods.
Fuel Electric/Gas
End Use Controls: HVAC/lighting
Baseline Equipment Hotel room with all-manual controls system (without key card controls).
Efficiency Qualification The key card activated system must reduce the electricity consumption by HVAC use and optionally reduce electricity consumption by lighting use in the room.
Required Rebate Application Inputs
Number of rooms with key card activated system in the hotel.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Hotel Key Card Activated Systems
Where:
kWhSavings = Annual per room kWh savings from key card activated system = Calculated HVACSavings = Annual per room HVAC kWh savings from key card activated
system = 158
LightingSavings = Annual per room lighting kWh savings from key card activated system
= 62 or 0*
NumRooms = Number of rooms with key card activated system in the hotel *Use 0 for LightingSavings if lighting is not controlled by key card activated system. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Hotel Key Card Activated Systems
Where:
CFHVAC = HVAC Peak Coincidence Factor = See Table 189 CFLighting = Lighting Peak Coincidence Factor = See Table 189
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ALGORITHM VARIABLES:
Table 189. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
HVAC (Cooling Direct Expansion [DX])
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 190. Hotel Key Card Activated System Algorithm Sources
Algorithm Inputs Algorithm Sources
HVACSavings Results of savings value obtained from “2013 California Building Energy Efficiency Standards, CASE report: Guest Room Occupancy Controls, 2011. Page 21”; weather-adjusted to be appropriate for Iowa (using Des Moines, Iowa weather data).
LightingSavings 2013 California Building Energy Efficiency Standards, CASE report: Guest Room Occupancy Controls, 2011. Page 23.
NumRooms Entered from application form.
Table 189. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Air Conditioner Tune-Up
Measure Description Maintenance includes changing filters and cleaning coils to maintain overall performance and efficiency of the unit.
Fuel Electric
End Use HVAC
Baseline Equipment Existing commercial HVAC systems that require tune-ups.
Efficiency Qualification Proper maintenance and tune-up.
Required Rebate Application Inputs
Equipment size (in MBtuh or tons).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Air Conditioner <65 MBtuh—Tune-up
Where:
= Seasonal Energy Efficiency Ratio of baseline efficiency system = 13 = Equivalent Full Load Hours of cooling = See Table 191 = Capacity of cooling System in MBtuh (Tons x 12) = (4 to 65) = Cooling savings from tune-up = 7.50%
Units = Number of rebated units Electric Savings kWh—Air Conditioner ≥65 MBtuh—Tune-up
Where: = Energy Efficiency Ratio of baseline efficiency system = See Table 192 = Equivalent Full Load Hours of cooling = See Table 191 = Capacity of cooling System in MBtuh (Tons x 12) = (65 to 480) = Cooling savings from tune-up = 7.50%
Units = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Air Conditioner <65 MBtuh—Tune-up
Where: = Energy Efficiency Ratio of baseline efficiency system = 11.2 = Equivalent Full Load Hours of cooling = See Table 191 = Capacity of cooling System in MBtuh (Tons x 12) = (4 to 65)
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182
= Cooling savings from tune-up = 7.50% CF = Peak Coincidence Factor = See Table 193
Units = Number of rebated units Electric Demand Savings Peak kW—Air Conditioner ≥ 65 MBtuh—Tune-up
Where:
= Energy Efficiency Ratio of baseline efficiency system = 11.2 = Equivalent Full Load Hours of cooling = See Table 191 = Capacity of cooling System in MBtuh (Tons x 12) = (4 to 65) = Cooling savings from tune-up = 7.50%
CF = Peak Coincidence Factor = See Table 193 Units = Number of rebated units
ALGORITHM VARIABLES:
Table 191. EFLH of Cooling
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling DX 1,022 807 593 851 791 791 791
Table 192. Energy Savings: Energy Efficiency Ratio of Baseline Efficiency System
Size (MBtuh) EERBase
≥65 and <135 11.2
≥135 and <240 11.0
≥240 and <760 10
≥760 9.7
Table 193. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
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VARIABLE SOURCES:
Table 194. Air Conditioner Tune-up Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 191. EFLH of Cooling
Inferred from the 2011 Assessment of Potential.
CAPC Entered from application form .
SFC
-Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005. -Cadmus Report: Bin Analysis, Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005.
Table 192. Energy Savings: Energy Efficiency Ratio of Baseline Efficiency System
Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
Demand Savings: EERBase
Calculated from SEERBase (SEER 13—Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3)); methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
Table 193. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Air Conditioning
Measure Description
Qualified central air conditioners have higher SEER and EER ratings, making them over 15% more efficient than conventional models. The Consortium for Energy Efficiency (CEE) specification provides consensus definitions of efficient performance for use as a basis for CEE member's commercial air conditioning and heat pump programs.
Fuel Electric
End Use HVAC
Baseline Equipment Central air conditioner system compliant with federal standard.
Efficiency Qualification
-Air Conditioner <65 MBtuh: Minimum SEER efficiency of 14.5. -Air Conditioner ≥65 and <135 MBtuh: Minimum EER efficiency of 11.5. -Air Conditioner ≥135 and <240 MBtuh: Minimum EER efficiency of 11.2. -Air Conditioner ≥240 and <760 MBtuh: Minimum EER efficiency of 10.0. -Air Conditioner ≥760 MBtuh: Minimum EER efficiency of 9.7. -Must be listed in AHRI.
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Efficiency (in SEER and/or EER).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM:
Electric Savings kWh—Air Conditioner <65 MBtuh—SEER Rated
Where: SEERBase = Seasonal Energy Efficiency Ratio Federal Baseline = 13
SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system = (14.5 to 30) = Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65) EFLHC = Equivalent full load hours of cooling = See Table 195
Unit = Number of rebated units Electric Savings kWh—Air Conditioner ≥65 MBtuh—EER Rated
Where: = Energy Efficiency Ratio of baseline efficiency system = See Table 196 = Energy Efficiency Ratio of a new high-efficiency system = (9.9 to 20)
See Table 196 = Capacity of cooling System in MBtuh (Tons x 12) = (65 to 1,000) EFLHC = Equivalent Full Load Hours of cooling = See Table 195 Units = Number of rebated units
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ANNUAL ENERGY DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Air Conditioner <65 MBtuh—EER Rated &
Electric Demand Savings Peak kW—Air Conditioner ≥65 MBtuh—EER Rated
Where: EERBase = Energy Efficiency Ratio baseline = 11.2
EEREff = Energy Efficiency Ratio of new high-efficiency system = (12 to 20) CAP = Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65)
EFLHC = Equivalent Full Load Hours of cooling = See Table 195 CF = Peak Coincidence Factor = See Table 197
Unit = Number of rebated units ALGORITHM VARIABLES:
Table 195. EFLH of Cooling
End Use
Grocery, Convenienc
e Store, and
Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office,
and Retail Industrial Agriculture
All Commercial
Cooling DX 1,022 807 593 851 791 791 791
Table 196. Energy Efficiency Ratio of Baseline Efficiency System
Size EERBase EEREff
(MBtuh) (EER) (Minimum EER)
≥65 and <135 11.2 11.7
≥135 and <240 11.0 11.7
≥240 and <760 10 10.5
≥760 9.7 9.9
Table 197. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
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VARIABLE SOURCES:
Table 198. Air Conditioning Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
SEEREff Entered from application form.
CAPC Entered from application form.
Table 195. EFLH of Cooling
Inferred from the 2011 Assessment of Potential
Table 196. Energy Efficiency Ratio of Baseline Efficiency System
11.2 EER: Calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
Energy Savings: EEREff
Entered from application form; EER Minimums are based on CEE Tier 1: http://library.cee1.org/sites/default/files/library/7559/CEE_CommHVAC_UnitarySpec2012.pdf
Demand Savings: EERBase
Calculated from SEERBase (SEER 13—Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3)); methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
Demand Savings: EEREff
Entered from application form, based on AHRI database; highest EER listed is 18 as of August 2013.
Table 197. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Boiler
Measure Description Qualified boilers have AFUE ratings of 87% or greater, making them more efficient than models simply meeting the federal minimum standard for energy efficiency.
Fuel Gas
End Use HVAC
Baseline Equipment A standard boiler.
Efficiency Qualification Boiler <300 MBtuh: Minimum AFUE of 87%; Greater than 300 MBtuh should be considered a custom project.
Required Rebate Application Inputs
-Equipment size (in MBtuh). -Heating efficiency (in AFUE).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Boiler—<300 Btuh—AFUE Rated
Where: = Annual Fuel Utilization Efficiency of baseline efficiency system = 82% = Annual Fuel Utilization Efficiency of new high-efficiency system = (87-98%)
CAP = Input capacity of boiler system in MBtuh = (30 to 300) = Equivalent Full Load Hours of heating = See Table 199
100 = Conversion from Mbtu to therms Unit = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms/hr—Boiler <300 MBtuh—AFUE Rated
Where: Annual Therms = Annual therms savings from boiler = Calculated
CF = Peak Coincidence Factor = See Table 200 ALGORITHM VARIABLES:
Table 199. EFLH of Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Boiler 1,001 1,561 1,050 1,191 1,227 1,227 1,227
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Table 200. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Boiler
0.01083404 0.01149222 0.00980814 0.01184344 – – 0.01163881
VARIABLE SOURCES:
Table 201. Boiler Algorithm Sources
Algorithm Inputs Algorithm Sources
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
AFUEEff Entered from application form, based on AHRI database; highest AFUE listed is 96.3 as of August 2013.
CAP Entered from application form, based on AHRI database.
Table 199. EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 200. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Boiler Tune-Up Maintenance
Measure Description
Boiler tune-up (maintenance) includes: professional cleaning of burners, combustion chambers, and heat exchange surfaces; adjusting air-flow and reducing excessive stack temperatures; cleaning and inspecting burner nozzles; adjusting burners and gas inputs, manual, or motorized draft controls; and following checklist of items for proper operation.
Fuel Gas
End Use Cooking
Baseline Equipment Existing commercial boiler that require tune-ups.
Efficiency Qualification
Example checklist and requirements: -Boiler qualify for tune-up rebates once every 12 months. -Measure combustion efficiency using an electronic flue gas analyzer. -Clean burners, combustion chamber, and heat exchange surface. -Adjust air-flow and reduce excessive stack temperatures. -Clean and inspect burner nozzles. -Complete visual inspection of system piping and insulation. -Check adequacy of combustion air intake. -Adjust burner and gas input, manual, or motorized draft control. -Check proper venting. -Check safety controls.
Required Rebate Application Inputs
Boiler Capacity (in MBtuh).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Boiler Tune-Up Maintenance
Where:
= Annual therms savings per Mbtuh = 0.2109 CAP = Capacity of heating system in MBtuh = Range
(36 to 30,000) ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Boiler Tune-Up Maintenance
Where: Annual Therms = Annual therms savings from boiler maintenance = Calculated
CF = Peak Coincidence Factor = See Table 202
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ALGORITHM VARIABLES:
Table 202. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat
Boiler 0.01083404 0.01149222 0.00980814 0.01184344 – – 0.01163881
VARIABLE SOURCES:
Table 203. Boiler Tune-Up Maintenance Algorithm Sources
Algorithm Inputs Algorithm Sources
SavingsperMBtuh Source: IPL Energy Efficiency Programs 2009 Evaluation Group 1 Programs, Volume 1; KEMA; page 3-24.
CAP Entered from application form.
Table 202. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Boiler Vent Damper
Measure Description A vent damper automatically shuts off flue pipes when burners do not run, eliminating unwanted outside air drafts.
Fuel Gas
End Use HVAC
Baseline Equipment Boiler without a vent damper installed.
Efficiency Qualification Thermal vent dampers or electric vent dampers.
Required Rebate Application Inputs
Equipment size (in MBtuh). Number of boilers with dampers installed.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Boiler Vent Damper
Where: = Input capacity of boiler system in MBtuh =
(30 to 1,000,000) = Equivalent Full Load Hours of heating = See Table 204
100 = Conversion from Mbtu to therms SF = Savings Factor = 6% (Default Value)
Unit = Number of boilers with dampers installed = 1 (Default Value) ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms/hr—Boiler Vent Damper
Where: Annual Therms = Annual therms savings from boiler vent damper = Calculated
CF = Peak Coincidence Factor = See Table 205 ALGORITHM VARIABLES:
Table 204. EFLH of Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Boiler 1,001 1,561 1,050 1,191 1,227 1,227 1,227
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Table 205. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Space Heat
Boiler 0.01083404 0.01149222 0.00980814 0.01184344 – – 0.01163881
VARIABLE SOURCES:
Table 206. Boiler Vent Damper Algorithm Sources
Algorithm Inputs Algorithm Sources
CAPInput Entered from application form, based on AHRI database.
Table 204. EFLH of Heating Inferred from the 2011 Assessment of Potential.
SF
CenterPoint Energy—Triennial CIP/Demand-Side Management (DSM) Plan 2010-2012 Report, U.S. Department of Housing and Urban Development: http://portal.hud.gov/hudportal/HUD?src=/program_offices/public_indian_housing/programs/ph/phecc/strat_h1
Table 205. Peak Coincidence Factor Inferred from the 2011 Assessment of Potential.
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HVAC: Chiller (Water- or Air-Cooled)
Measure Description Higher-efficiency air- and water-cooled chillers use less kW per ton of cooling, reducing electric demand and annual energy consumption.
Fuel Electric
End Use HVAC
Baseline Equipment Standard chiller.
Efficiency Qualification Air-Cooled Chiller: See Table 207. Water-Cooled Chiller: See Table 208.
Required Rebate Application Inputs
Equipment size (in MBtuh or tons). Efficiency (in full and part load kW/Ton or full and part load EER).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
Table 207. Energy Qualification: Air-Cooled Chiller
Air-Cooled Type Size Full Load—EER IPLV—EER
All < 150 Tons ≥ 10.04 ≥ 13.125
≥ 150 Tons ≥ 10.04 ≥ 13.388
Table 208. Energy Qualification: Water-Cooled Chiller
Water-Cooled Type Size Tons Full Load—kW/Ton IPLV—kW/Ton
Positive Displacement/Reciprocating
<150 ≤ 0.738 ≤ 0.586
≥150 and <300 ≤ 0.648 ≤ 0.552
≥300 ≤ 0.59 ≤ 0.514
Centrifugal
<300 ≤ 0.604 ≤ 0.568
≥300 and <600 ≤ 0.549 ≤ 0.523
≥600 ≤ 0.543 ≤ 0.513
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Water-Cooled Chillers
Where: = Integrated Part-Load Value efficiency in kW/ton of standard
baseline efficiency system = See Table 209
= Integrated Part-Load Value efficiency in kW/ton of high-efficiency system
= (0.25 to 0.615)
= Capacity of cooling system in tons (tons = MBtuh/12) = (25 to 1,500) = Equivalent Full Load Hours of cooling = See Table 210
Units = Number of rebated units Electric Savings kWh—Air-Cooled Chillers
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Where: 12 = Conversion factor in kWh/ton
= Integrated Part-Load Value efficiency in EER of standard baseline efficiency system
= See Table 211
= Integrated Part-Load Value efficiency in EER of high-efficiency system
= (13.125 to 25)
= Capacity of cooling system in tons (tons = MBtuh/12) = (25 to 500) = Equivalent Full Load Hours of cooling = See Table 210
Units = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Water-Cooled Chiller
Where: = Rated Full Load Efficiency in kW/ton of standard baseline
efficiency system = See Table 209
= Rated Full Load Efficiency in kW/ton of high-efficiency system = (0.300 to 0.738)
= Capacity of cooling system in tons (tons = MBtuh/12) = (25 to 1,500) = Equivalent Full Load Hours of cooling = See Table 210
CF = Peak Coincidence Factor = See Table 212 Units = Number of rebated units
Electric Demand Savings Peak kW—Air-Cooled Chiller
Where:
12 = Conversion factor in kWh/ton = Rated Full Load Efficiency in EER of standard baseline
efficiency system = See Table 211
= Integrated Part-Load Value efficiency in EER of high-efficiency system
= (13.125 to 25)
= Capacity of cooling system in tons (tons = MBtuh/12) = (25 to 500) = Equivalent Full Load Hours of cooling = See Table 210
CF = Peak Coincidence Factor = See Table 212 Units = Number of rebated units
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ALGORITHM VARIABLES:
Table 209. Part-Load and Full Load Efficiency of Water-Cooled Chillers
2009 IECC Requirements
Water-Cooled Type Size (TONS) FullLoadBase (kW/Ton) IPLVBase (kW/Ton)
Positive Displacement/Reciprocating
<150 0.775 0.615
≥150 and <300 0.680 0.580
≥300 0.620 0.540
Centrifugal
<300 0.634 0.596
≥300 and <600 0.576 0.549
≥600 0.570 0.539
Table 210. EFLH of Cooling
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling Chillers
1,361 1,223 579 1,154 1,053 1,053 1,053
Table 211. Part-Load and Full Load Efficiency of Standard Baseline Air-Cooled Chillers
2009 IECC Requirements
Air-Cooled Type Size (TONS) FullLoadBase (ERR) IPLVBase (EER)
All <150 9.562 12.500
≥150 9.562 12.750
Table 212. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling Chillers
0.00035993 0.00043655 0.00067355 0.00049971 0.00013081 0.00013081 0.00052604
VARIABLE SOURCES:
Table 213. Chiller (Water- or Air-Cooled) Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 209. Part-Load and Full Load Efficiency of Water-Cooled Chillers
2009 IECC (IA State Code)—Table 503.2.3(7).
kW/tonIPLVEff Entered from application form.
CAPC Entered from application form.
Table 210. EFLH of Cooling Inferred from the 2011 Assessment of Potential.
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Algorithm Inputs Algorithm Sources
Table 211. Part-Load and Full Load Efficiency of Standard Baseline
2009 IECC (IA State Code)—Table 503.2.3(7).
EERIPLVEff Entered from application form.
kW/tonFLEff Entered from application form.
Table 212. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
EERFLEff Entered from application form.
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HVAC: Chiller-Pipe Insulation
Measure Description
-3" of insulation (approximately R-11) on a chiller pipe, either existing or new. -Savings captured by reducing the amount of undesired heat gain by the chiller pipe.
Fuel Electric
End Use HVAC
Baseline Equipment Poorly insulated chiller pipes.
Efficiency Qualification
-Chiller Insulation must have a thermal resistance of approximately R-11. -"New" refers to the installation of a 3" thickness ~R-11 insulation on a chiller pipe during new construction; baseline is the minimum pipe insulation requirement defined by the IECC 2009 Table 503.2.8. -"Existing" refers to the installation of a 3" thickness ~R-11 insulation to replace an existing degraded, poorly performing insulation on a chiller pipe (does not satisfy building code standards).
Required Rebate Application Inputs
-Length of the chiller pipe insulation installed (feet). -Construction or application type (new construction/major renovation or existing construction).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Chiller—Pipe Insulation
Where:
LFSavings = Total length of the chiller pipe with insulation Length = Annual per linear foot kWh savings from the installation of 3"
R-11 thickness insulation = See Table 214
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Chiller—Pipe Insulation
Where:
Annual kWh = Annual savings from chiller pipe insulation = Calculated CF = Peak Coincidence Factor = See Table 215
ALGORITHM VARIABLES:
Table 214. Electric Savings Per Foot from Chiller-Pipe Insulation
Construction/Application Type Per LF Savings [kWh/LF/year]
New Construction/Major Renovation
2.0
Existing Construction 9.9
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Table 215. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling Chillers
0.00035993 0.00043655 0.00067355 0.00049971 0.00013081 0.00013081 0.00052604
VARIABLE SOURCES:
Table 216. Chiller-Pipe Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Length Entered from application form.
Table 215. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Chiller Tune-Up Maintenance
Measure Description
Chiller tune-up (maintenance) includes the professional cleaning of water-cooled chiller condenser and evaporator tubes, oil level and pressure, compressor and pump checks, pressure control checks, and filter inspections. Following checklist of items for proper operation.
Fuel Electric
End Use HVAC
Baseline Equipment Existing commercial chillers that require tune-ups.
Efficiency Qualification Proper maintenance and tune-up.
Required Rebate Application Inputs
Equipment size (in MBtuh or tons).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Chillers Tune-up Maintenance
Water-Cooled:
Air Cooled:
Where:
= Integrated Part-Load Value efficiency (in kW/ton or EER) of standard baseline efficiency system
= See Table 217
12 = Conversion factor from EER to kW/ton = 12 = Capacity of cooling system in tons (tons = MBtuh/12) = Range
(25 to 1,500) = Equivalent Full Load Hours of cooling = See Table 218
= Cooling savings from tune-up = 8% Units = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Chillers Tune-up Maintenance
Water-Cooled:
Air Cooled:
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Where: = Rated Full Load Efficiency in kW/ton of standard baseline
efficiency system = See Table 217
12 = Conversion factor from EER to kW/ton = 12 = Capacity of cooling system in tons (tons = MBtuh/12) = Range
(25 to 1,500) = Equivalent Full Load Hours of cooling = See Table 218
= Cooling savings from tune-up = 8% CF = Peak Coincidence Factor = See Table 219
Units = Number of rebated units ALGORITHM VARIABLES:
Table 217. Par-Load and Full-Load Efficiencies of Chillers
2009 IECC Requirements
Chiller Type Size (TONS) FullLoadBase (EER
or kW/Ton) IPLVBase (EER or
kW/Ton) FullLoad and
IPLV Unit
Air-Cooled <150 9.562 12.500 EER
≥150 9.562 12.750 EER
Water-Cooled Positive Displacement/ Reciprocating
<150 0.775 0.615 kW/ton
≥150 and <300 0.680 0.580 kW/ton
≥300 0.620 0.540 kW/ton
Water-Cooled Centrifugal
<300 0.634 0.596 kW/ton
≥300 and <600 0.576 0.549 kW/ton
≥600 0.570 0.539 kW/ton
Table 218. EFLH of Cooling
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office,
and Retail Industrial Agriculture
All Commercial
Cooling Chillers
1,361 1,223 579 1,154 1,053 1,053 1,053
Table 219. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling Chillers
0.00035993 0.00043655 0.00067355 0.00049971 0.00013081 0.00013081 0.00052604
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VARIABLE SOURCES:
Table 220. Chiller Tune-Up Maintenance Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 217. Par-Load and Full-Load Efficiencies of
2009 IECC (IA State Code)—Table 503.2.3(7).
CAPC Entered from application form.
SFC
Multiple sources have indicated savings between 5% and 25%. Assumed 8% savings as the most prevalent value. California Statewide Commercial Energy Efficiency Potential Study 2002, Volume 1&2. Plant Services: Ten Tips for Improving Chiller Efficiency & Progress Energy: Chiller Optimization and Energy-Efficient Chillers & Reliant: HVAC: Cleaning Condenser Coils.
Table 218. EFLH of Cooling
Inferred from the 2011 Assessment of Potential.
Table 219. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Duct Insulation
Measure Description Packaged DX and heat pump equipment generally are coupled with a ducting system inside a building. Insulating ducts reduces energy loss to the unconditioned plenum space.
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Poorly insulated air ducts for HVAC systems.
Efficiency Qualification -Duct insulation must be R-8 or better. -Business assessment or pre-installation assessment required. -Must be existing construction.
Required Rebate Application Inputs
Linear foot of duct (in feet).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Duct Insulation
Where: = Annual savings per linear foot depend on heating and cooling
equipment = See Table 221
= Linear foot of duct (in ft) = (1 to 5,000)
Natural Gas Savings Therms—Duct Insulation
Where: = Annual savings per linear foot depend on heating fuel equipment = See Table 221
= Linear foot of duct (in ft) = (1 to 5,000) ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Duct Insulation
Where: = Annual savings from duct insulation = Calculated
= Peak Coincidence Factor = See Table 219 Natural Gas Demand Savings Peak Therms—Duct Insulation
Where: Annual Therms = Annual therms savings from duct insulation = Calculated
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CF = Peak Coincidence Factor = See Table 219 ALGORITHM VARIABLES:
Table 221. Annual Electric Savings per Linear Foot from Duct Insulation
End Use HVAC System SavingsPerUnit [kWh/ft]
Space Heat Electric Furnace 14.00
Heat Pump Heat Pump 13.74
Heat Pump-Cooling Heat Pump 4.58
Heat Pump-Heating Heat Pump 9.16
Cooling DX Rooftop DX 4.58
Table 222. Annual Gas Savings per Linear Foot from Duct Insulation
End Use HVAC System Therms/ft—SavingsPerUnit
Space Heat Furnace Gas Furnace 0.73
Table 223. Electric Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Space Heat – – – – – – –
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Heat Pump-Cooling
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Heat Pump-Heating
– – – – – – –
Table 224. Natural Gas Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Furnace
0.01083404 0.00995413 0.00654527 0.01144178 – – 0.00883527
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VARIABLE SOURCES:
Table 225. Duct Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 221. Annual Electric Savings per Linear Foot
Inferred from 2011 Assessment of Potential. Weighted by IPL sales and end-use distributions by building type to roll into one savings value per end use.
DuctLength Entered from application form.
Table 222. Annual Gas Savings per Linear Foot
Inferred from 2011 Assessment of Potential. Weighted by IPL sales and end-use distributions by building type to roll into one savings value per end use.
Table 223. Electric Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Table 224. Natural Gas Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Duct Sealing and Repair
Measure Description
Duct sealing and repair can save energy, improve air and thermal distribution (comfort and ventilation), and reduce cross-contamination between different zones in buildings (e.g., smoking vs. non-smoking, bio-aerosols, localized indoor air pollutants).
Fuel Electric/Gas
End Use HVAC
Baseline Equipment Air ducts in need of maintenance (sealing and/or repair).
Efficiency Qualification -Duct sealing and repair with ADS, mastic, or other code compliant methods. -Business assessment or pre-installation assessment required. -Must be existing construction.
Required Rebate Application Inputs
Linear foot of duct (in feet).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Duct Sealing and Repair
Where: = Annual savings per linear foot depends on heating and cooling
equipment = See Table 226
= Linear foot of duct (in ft) = (1 to 5,000)
Natural Gas Savings Therms—Duct Sealing and Repair
Where: = Annual savings per linear foot depends on heating fuel
equipment = See Table 227
= Linear foot of duct (in ft) = (1 to 5,000) ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Duct Sealing and Repair
Where:
= Annual savings from duct sealing and repair = Calculated = Peak Coincidence Factor = See Table 228
Natural Gas Demand Savings Peak Therms—Duct Sealing and Repair
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Where: Annual Therms = Annual therms savings from duct sealing and repair = Calculated
CF = Peak Coincidence Factor = See Table 229 ALGORITHM VARIABLES:
Table 226. Annual Savings per Linear Foot: Depends on Heating and Cooling Equipment
End Use HVAC System kWh/ft—SavingsPerUnit
Space Heat Electric Furnace 10.00
Heat Pump Heat Pump 9.81
Heat Pump-Cooling Heat Pump 3.27
Heat Pump-Heating Heat Pump 6.54
Cooling DX Rooftop DX 3.27
Table 227. Annual Savings per Linear Foot: Depends on Heating Fuel Equipment
End Use HVAC System Therms/ft—SavingsPerUnit
Space Heat Furnace Gas Furnace 0.52
Table 228. Electric Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Space Heat – – – – – – –
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Heat Pump-Cooling
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Heat Pump-Heating
– – – – – – –
Table 229. Natural Gas Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Space Heat
Furnace 0.01083404 0.00995413 0.00654527 0.01144178 – – 0.00883527
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VARIABLE SOURCES:
Table 230. Duct Sealing and Repair Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 226. Annual Savings per Linear Foot: Depends on Heating and Cooling Equipment
Inferred from 2011 Assessment of Potential. Weighted by IPL sales and end-use distributions by building type to roll into one savings value per end use.
DuctLength Entered from application form.
Table 227. Annual Savings per Linear Foot: Depends on Heating Fuel Equipment
Inferred from 2011 Assessment of Potential. Weighted by IPL sales and end-use distributions by building type to roll into one savings value per end use.
Table 228. Electric Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Table 229. Natural Gas Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: ECM Fan
Measure Description ECMs consume less energy than standard motors used in heating and cooling air distribution systems.
Fuel Electric
End Use HVAC
Baseline Equipment Standard fan motor for HVAC systems.
Efficiency Qualification Replacement of standard fan motor with the installation of ECM.
Required Rebate Application Inputs
Application type (cooling, heating, both).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—ECM Fan
Where: = Annual savings (kWh) per EFLH by group = See Table 231
= Equivalent Full Load Hours of heating = See Table 232 Units = Number of rebated units =
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—ECM Fan
Where: Annual kWh = Annual savings from ECM Fan = Calculated
CF = Peak Coincidence Factor = See Table 233 ALGORITHM VARIABLES:
Table 231. Annual savings (kWh) per EFLH by group
Measure
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
ECM 0.65 0.57 0.79 0.41 - - 0.55
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Table 232. EFLH of Heating
Application
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling 1,022.33 807.24 593.23 851.39 790.66 790.66 790.66
Heating 894.89 855.15 992.25 1,196.14 1,097.09 1,097.09 1,097.09
Table 233. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
HVAC Aux 0.00014039 0.00022870 0.00018285 0.00019052 0.00013081 0.00013081 0.00017973
VARIABLE SOURCES:
Table 234. ECM Fan Computer Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 231. Annual savings (kWh) per EFLH by group
Inferred from the 2011 Assessment of Potential and weighted by building types into the IPL groups; based on ECM Motors Manufactured By Regal Beloit and TYPICAL ENERGY SAVINGS for ECMs 1999 Nailor Industries, Inc.: http://www.hatchell.com/files/ECM_Story.pdf
Table 232. EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 233. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Furnace
Measure Description Qualified furnaces have higher Annual Fuel Utilization Efficiency (AFUE) ratings and higher efficiency blower motors, making them more efficient than non-qualified models.
Fuel Gas
End Use HVAC
Baseline Equipment A standard furnace.
Efficiency Qualification Furnace <225 MBtuh: Minimum AFUE of 94%
Required Rebate Application Inputs
-Equipment size (in MBtuh). -Heating efficiency (in AFUE).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Furnace—<225 MBtuh—AFUE Rated
Where: = Annual Fuel Utilization Efficiency of baseline efficiency system = 78% = Annual Fuel Utilization Efficiency of new high-efficiency system = Range
(94% to 98%) CAP = Input capacity of furnace system in MBtuh = (36 to 225)
= Equivalent Full Load Hours of heating = See Table 235. EFLH of Heating
100 = Conversion from Mbtu to therms Unit = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms/hr— Furnace—<225 MBtuh—AFUE Rated
Where: Annual Therms = Annual therms savings from furnace = Calculated
CF = Peak Coincidence Factor = See Table 236. Peak Coincidence FactorTable 200
ALGORITHM VARIABLES:
Table 235. EFLH of Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
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Furnace 895 855 992 1,196 1,097 1,097 1,097
Table 236. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat
Furnace 0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
VARIABLE SOURCES:
Table 237. Furnace Algorithm Sources
Algorithm Inputs Algorithm Sources
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
AFUEEff Entered from application form, based on AHRI database.
CAP Entered from application form, based on AHRI database.
Table 235. EFLH of Heating
Inferred from the 2011 Assessment of Potential.
Table 236. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Furnace Tune-Up Maintenance
Measure Description
Furnace tune-up (maintenance) includes the professional cleaning of the burners, combustion chamber and heat exchange surface. Adjust air-flow and reduce excessive stack temperatures. Clean and inspect burner nozzle. Adjust burner and gas input, manual, or motorized draft control. Follow check list of items for proper operation.
Fuel Gas
End Use HVAC
Baseline Equipment Existing commercial furnace that require tune-ups
Efficiency Qualification
Example check list and requirements: -A furnace is eligible for a tune-up rebate once every 12 months. -Measure combustion efficiency using an electronic flue gas analyzer. -Clean burners, combustion chamber and heat exchange surface. -Adjust air-flow and reduce excessive stack temperatures. -Clean and inspect burner nozzle. -Complete visual inspection of system piping and insulation. -Check adequacy of combustion air intake. -Adjust burner and gas input, manual, or motorized draft control. -Check proper venting. -Check safety controls.
Required Rebate Application Inputs
Furnace capacity (in MBtuh).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Furnace Tune-Up Maintenance
Where:
= Annual therms savings per Mbtuh = 0.2109 CAP = Capacity of heating system in MBtuh = (36 to 300)
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Furnace Tune-Up Maintenance
Where: Annual Therms = Annual therms savings from furnace maintenance = Calculated
CF = Peak Coincidence Factor = See Table 238
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VARIABLES:
Table 238. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Space Heat Furnace
0.01083404 0.01149222 0.00980814 0.01184344 – – 0.01163881
VARIABLE SOURCES:
Table 239. Furnace Tune-Up Maintenance Algorithm Sources
Algorithm Inputs Algorithm Sources
SavingsperMBtuh Source: IPL Energy Efficiency Programs 2009 Evaluation Group 1 Programs, Volume 1; KEMA; page 3-24
CAP Entered from application form
Table 238. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential
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HVAC: Air Source Heat Pump
Measure Description
Qualified electric commercial heat pump programs have higher SEERA and EER than today's standard models. They also have a higher HSPF and Coefficient of Performance (COP), which measures the heating efficiency of the heat pump.
Fuel Electric
End Use HVAC
Baseline Equipment Air source heat pump compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3)
Efficiency Qualification
-Air Source Heat Pump <65 MBtuh: Minimum SEER efficiency of 14.5 and minimum HSPF efficiency of 8.2 -Air Source Heat Pump ≥65 and <135 MBtuh: Minimum EER efficiency of 11.3 and minimum COP efficiency of 3.4 (at 47°F db/43°F wb Outdoor Air) and 2.4 (at 17°F db/15°F wb Outdoor Air) -Air Source Heat Pump ≥135 and <240 MBtuh: Minimum EER efficiency of 10.9 and minimum COP efficiency of 3.2 (at 47°F db/43°F wb Outdoor Air) and 2.1 (at 17°F db/15°F wb Outdoor Air) -Air Source Heat Pump ≥240 and <760 MBtuh: Minimum EER efficiency of 10.3 and minimum COP efficiency of 3.2 (at 47°F db/43°F wb Outdoor Air) and 2.1 (at 17°F db/15°F wb Outdoor Air)
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Cooling efficiency (in SEER or EER). -Heating efficiency (in HSPF or COP).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Air Source Heat Pump <65 MBtuh—SEER and HSPF Rated
Where:
= Seasonal Energy Efficiency Ratio of baseline efficiency system = 13.0* 14.0**
= Seasonal Energy Efficiency Ratio of new high-efficiency system = (14.5 to 35)
= Equivalent Full Load Hours of cooling = See Table 240 = Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65)
= Heating Seasonal Performance Factor of baseline efficiency system
= 7.7* 8.2**
= Heating Seasonal Performance Factor of new high-efficiency system
= (8.2 to 15)
= Equivalent Full Load Hours of heating See Table 240 = Capacity of cooling System in MBtuh (Tons x 12) (4 to 65) Units = Number of rebated units
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
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Electric Savings kWh—Air Source Heat Pump ≥65 MBtuh—EER and COP Rated
Where:
= Energy Efficiency Ratio of baseline efficiency system = See Table 241 = Energy Efficiency Ratio of new high-efficiency system = (10.3 to 18)
= Equivalent Full Load Hours of cooling = See Table 240 = Capacity of cooling system in MBtuh (Tons x 12) = (65 to 480)
= Heating Seasonal Performance Factor of baseline efficiency system
= See Table 241
= Heating Seasonal Performance Factor of new high-efficiency system
= (3.2 to 4.5)
= Equivalent Full Load Hours of heating See Table 240 = Capacity of cooling system in MBtuh (Tons x 12) (65 to 480) Units = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Air Source Heat Pump <65 MBtuh—EER Rated
Where: = Energy Efficiency Ratio of baseline efficiency system = 11.2*
11.8** = Energy Efficiency Ratio of new high-efficiency system = (9.8 to 16)
= Equivalent Full Load Hours of cooling = See Table 240 = Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65)
CF = Peak Coincidence Factor = See Table 242 Units = Number of rebated units
*Before 1/1/2015 **After 1/1/2015 Federal Code Change Electric Demand Savings Peak kW—Air Source Heat Pump ≥65 MBtuh—EER Rated
Where:
= Energy Efficiency Ratio of baseline efficiency system = See Table 241 = Energy Efficiency Ratio of new high-efficiency system = (10.3 to 18)
= Equivalent Full Load Hours of cooling = See Table 240
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= Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65) CF = Peak Coincidence Factor = See Table 242
Units = Number of rebated units ALGORITHM VARIABLES:
Table 240. EFLH of Cooling and Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Heat Pump Cooling 995 1,006 567 600 691 691 691
Heat Pump Heating 471 610 396 588 478 478 478
Table 241. Energy Efficiency Ratio and Coefficient of Performance of Baseline Efficiency System
Size (MBtuh)
EERBase (EER)
EEREff (Minimum EER)
COPBase (COP)
COPEff (Minimum COP)
≥65 and <135 11.0 11.3 3.3 3.4
≥135 and <240 10.6 10.9 3.2 3.2
≥240 and <760 9.5 10.3 3.2 3.2
Table 242. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
VARIABLE SOURCES:
Table 243. Air Source Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3)
SEEREff Entered from application form
Table 240. EFLH of Cooling and Heating
Inferred from the 2011 Assessment of Potential
CAPC Entered from application form or AHRI database
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3)
HSPFEff Entered from application form
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Algorithm Inputs Algorithm Sources
CAPH Entered from application form or AHRI database, if not available use cooling capacity as a proxy
Energy Savings: EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1)
EEREff Entered from application form; EER Minimums are based on CEE Tier 1: http://library.cee1.org/sites/default/files/library/7559/CEE_CommHVAC_UnitarySpec2012.pdf
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(1)
COPEff Entered from application form
Demand Savings: EERBase
Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3), calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER, http://www.nrel.gov/docs/fy10osti/47246.pdf
Table 242. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential
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HVAC: Geothermal Heat Pump
Measure Description Geothermal heat pumps have higher EER and COP ratings than conventional air-source heat pump models. The baseline represents a standard-efficiency, air-source heat pump.
Fuel Electric
End Use HVAC
Baseline Equipment Geothermal heat pump compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
Efficiency Qualification
-Tier 1: Geothermal Heat Pump: Minimum EER efficiency of 17.0 and minimum COP efficiency of 3.6. -Tier 2: Geothermal Heat Pump: Minimum EER efficiency of 20.0 and minimum COP efficiency of 4.0. -Tier 3: Geothermal Heat Pump: Minimum EER efficiency of 25.0 and minimum COP efficiency of 4.5. -Greater than 240 Mbtuh moved to the Custom Rebate Program.
Required Rebate Application Inputs
-Application type (water-to-water, water-to-air, direct geoexchange). -Equipment type (water-loop heat pump, ground-water heat pump, ground-loop heat pump). -System type (open loop, closed loop). -Equipment size (in MBtuh or tons). -Efficiency (EER and COP). -Installation date. -Variable speed geothermal systems (Y/N).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Geothermal Heat Pump <65 MBtuh—Single/Constant Speed
Where: = Energy Efficiency Ratio of baseline efficiency system = 11.2*
11.8** = Rated full load Energy Efficiency Ratio of high-efficiency system = (17 to 60)
= Equivalent Full Load Hours of cooling = See Table 244 = Rated full load capacity of cooling system in MBtuh (Tons x 12) = (4 to 65) = Heating Seasonal Performance Factor of baseline efficiency
system = 2.26*
2.40** = Rated full load Coefficient of Performance of high-efficiency
system = (3.6 to 10)
= Equivalent Full Load Hours of heating See Table 244 = Rated full load capacity of heating System in MBtuh (Tons x 12) (4 to 65) Units = Number of rebated units
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*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Geothermal Heat Pump ≥65 MBtuh—Single/Constant Speed
Where:
= Energy Efficiency Ratio of baseline efficiency system = See Table 245 = Rated full load Energy Efficiency Ratio of high-efficiency system = (17 to 60)
= Equivalent Full Load Hours of cooling = See Table 244 = Rated full load capacity of cooling system in MBtuh (Tons x 12) = (65 to 240) = Heating Seasonal Performance Factor of baseline efficiency
system = See Table 245
= Rated full load Coefficient of Performance of new high-efficiency system
= (3.6 to 10)
3.412 = Conversion factor from Btuh to kilowatts = 3.412 = Equivalent Full Load Hours of heating = See Table 244
= Rated full load capacity of heating System in MBtuh (Tons x 12) = (65 to 240) Units = Number of rebated units
Electric Savings kWh—Geothermal Heat Pump <65 MBtuh—Variable Speed
Where:
PLFH = Part load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
FLFH = Full load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
PLFC = Part load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.85
FLHC = Full load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient)
= 0.15
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and 85% at partial load (more efficient). CAPFL-C = Rated full load capacity of cooling system in MBtuh = Range (4 to 65) CAPFL-H = Rated full load capacity of heating system in MBtuh = Range (4 to 65)
EERBase = Energy Efficiency Ratio of baseline efficiency system [Btu/W-h] = 11.2* 11.8**
EERPL-Eff = Part Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
= Range (17 to 70)
EERFL-Eff = Full Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
= Range (17 to 60)
COPBase = Coefficient of Performance of baseline system in [Btu/W-h] = 2.26* 2.40**
COPPL-Eff = Rated part load Coefficient of Performance of new high efficiency system in [Btu/W-h]
= Range (3.6 to 10)
COPFL-Eff = Rated full load Coefficient of Performance of new high efficiency system in [Btu/W-h]
= Range (3.6 to 12)
EFLHC = Equivalent Full Load Hours of Cooling = See Table 244. EFLH of Cooling and Heating
EFLHH = Equivalent Full Load Hours of Heating = See Table 244. EFLH of Cooling and Heating
3.412 = Conversion Btuh per watt = 3.412 Unit = Number of Rebated Units
*Before 1/1/2015
**After 1/1/2015
Federal Code Change
Electric Savings kWh—Geothermal Heat Pump ≥65 MBtuh—Variable Speed
Where:
PLFH = Part load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
FLFH = Full load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
PLFC = Part load cooling mode operation factor where cooling mode = 0.85
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the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
FLHC = Full load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.15
CAPFL-C = Rated full load capacity of cooling system in MBtuh = Range (65 to 240) CAPFL-H = Rated full load capacity of heating system in MBtuh = Range (65 to 240)
EERBase = Energy Efficiency Ratio of baseline efficiency system [Btu/W-h] =
See Table 245. Energy Efficiency Ratio and Coefficient of Performance of Baseline Efficiency System
EERPL-Eff = Part Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
= Range (17 to 70)
EERFL-Eff = Full Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
= Range (17 to 60)
COPBase = Coefficient of Performance of baseline system in [Btu/W-h] = 2.26* 2.40**
COPPL-Eff = Rated part load Coefficient of Performance of new high efficiency system in [Btu/W-h]
= Range (3.6 to 10)
COPFL-Eff = Rated full load Coefficient of Performance of new high efficiency system in [Btu/W-h]
= Range (3.6 to 12)
EFLHC = Equivalent Full Load Hours of Cooling = See Table 244. EFLH of Cooling and Heating
EFLHH = Equivalent Full Load Hours of Heating = See Table 244. EFLH of Cooling and Heating
3.412 = Conversion Btuh per watt = 3.412 Unit = Number of Rebated Units
*Before 1/1/2015 **After 1/1/2015
Federal Code Change
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Geothermal Heat Pump <65 MBtuh
Where:
= Energy Efficiency Ratio of baseline efficiency system = 11.2* 11.8**
= Rated full load Energy Efficiency Ratio of high-efficiency system = (17 to 60)
= Equivalent Full Load Hours of cooling = See Table 244 = Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65)
CF = Peak Coincidence Factor = See Table 246
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Units = Number of rebated units *Before 1/1/2015 **After 1/1/2015 Federal Code Change Electric Demand Savings Peak kW—Geothermal Heat Pump ≥ 65 MBtuh
Where:
= Energy Efficiency Ratio of baseline efficiency system = See Table 245 = Rated full load Energy Efficiency Ratio of high-efficiency system = (17 to 60)
= Equivalent Full Load Hours of cooling = See Table 244 = Rated full load capacity of cooling system in MBtuh (Tons x 12) = (65 to 240)
CF = Peak Coincidence Factor = See Table 246 Units = Number of rebated units
ALGORITHM VARIABLES:
Table 244. EFLH of Cooling and Heating
End Use
Grocery, Convenience Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office,
and Retail Industrial Agriculture
All Commercial
Heat Pump—Cooling 995 1,006 567 600 691 691 691
Heat Pump—Heating 471 610 396 588 478 478 478
Table 245. Energy Efficiency Ratio and Coefficient of Performance of Baseline Efficiency System
Size (MBtuh) EERBase EEREff COPBase COPEff
≥65 and <135 11.0 17.0 3.3 3.6
≥135 and <240 10.6 17.0 3.2 3.6
Table 246. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
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VARIABLE SOURCES:
Table 247. Geothermal Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
Energy and Demand Savings Geothermal Heat Pump <65 MBtuh: EERBase
Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3), calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
EERFL-Eff Entered from application form; EER Minimums are based on IPL's 2014-2018 EEP Nonresidential Geothermal Heat Pump (Ground Source) Program Tier Level 1.
EERPL-Eff Use the rated part load efficiency from the application form or AHRI database
CAPFL-C Entered from application form or AHRI database.
Geothermal Heat Pump <65 MBtuh: COPBase
Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
COPFL-Eff Entered from application form; COP minimums are based on IPL's 2014-2018 EEP Nonresidential Geothermal Heat Pump (Ground Source) Program Tier Level 1.
COPPL-Eff Use the rated part load efficiency from the application form or AHRI database
CAPFL-H Entered from application form or AHRI database; if not available, use cooling capacity as a proxy.
Energy and Demand Savings Geothermal Heat Pump ≥65 MBtuh: EERFL-Base
Code of Federal Regulations, 10 CFR 430.32; IECC 2009 Table 503.2.3(1).
Geothermal Heat Pump ≥65 MBtuh: COPBase
Code of Federal Regulations, 10 CFR 430.32.
PLFH Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFH
PLFC
GSHPs produce higher cooling capacity than heating capacity. A 4-ton GSHP might produce 50,000 BTUs of cooling but only 37,400 BTUs of heating at peak cooling and heating conditions, respectively. In Des Moines, homes demand more heating than cooling. This means that the GSHP must run longer at full-load to heat a home, but can meet the homes cooling load with less capacity. As a result, the part-load adjustment has a proportionally larger impact on the cooling season usage. Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFC
Table 244. EFLH of Cooling and Heating
Inferred from the 2011 Assessment of Potential.
Table 246. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Heat Pump Tune-Up Maintenance
Measure Description
Proper system tune-up/ maintenance ensures refrigerant charges and airflows through evaporator coils have been properly tested and correctly adjusted—two factors affecting system efficiency. Maintenance includes changing filters and cleaning coils to maintain overall performance and efficiency of a unit.
Fuel Electric
End Use HVAC
Baseline Equipment Existing heat pumps that require tune-ups.
Efficiency Qualification Proper maintenance and tune-up.
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Cooling efficiency (in SEER or EER). -Heating efficiency (in HSPF or COP). -Tune-up savings percent.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Air Source Heat Pump <65 MBtuh—Tune-up
Where:
= Seasonal Energy Efficiency Ratio of baseline efficiency system = 13.0* 14.0**
= Equivalent Full Load Hours of cooling = See Table 248 = Cooling savings from tune-up = 7.50%
= Heating Seasonal Performance Factor of baseline efficiency system
= 7.7* 8.2**
= Equivalent Full Load Hours of heating = See Table 248 = Heating savings from tune-up = 2.3%
= Capacity of heat pump system in MBtuh (Tons x 12) = (4 to 65) Units = Number of rebated units
*Before 1/1/2015 **After 1/1/2015 Federal Code Change Electric Savings kWh—Central and Rooftop Air Source Heat Pump ≥ 65 MBtuh (Cooling
Capacity)—Tune-up
Where:
= Energy Efficiency Ratio of baseline efficiency system = See Table 249 = Equivalent Full Load Hours of cooling = See Table 248
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= Cooling savings from tune-up = 7.50% = Coefficient of Performance of baseline efficiency system = See Table 249
3.412 = Conversion Btuh per watt = Equivalent Full Load Hours of heating = See Table 248
= Heating savings from tune-up = 2.3% = Capacity of heat pump system in MBtuh (Tons x 12) = (65 to 480)
Units = Number of rebated units Electric Savings kWh—Geothermal Heat Pump—Tune-up
Where: = Energy Efficiency Ratio of baseline efficiency system = 13.4 = Equivalent Full Load Hours of cooling = See Table 248
= Cooling savings from tune-up = 7.50% = Coefficient of Performance of baseline efficiency system = 3.1
3.412 = Conversion factor from Btuh to kilowatts = 3.412 = Equivalent Full Load Hours of heating = See Table 248
= Heating savings from tune-up = 2.3% = Capacity of heat pump system in MBtuh (Tons x 12) = (65 to 480)
Units = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Air Source Heat Pump <65 Mbtuh—Tune-up
Where:
= Energy Efficiency Ratio of baseline efficiency system = 11.2* 11.8**
= Equivalent Full Load Hours of cooling = See Table 248 = Cooling savings from tune-up = 7.50%
= Capacity of cooling system in MBtuh (Tons x 12) = (4 to 65) CF = Peak Coincidence Factor = See Table 250
Units = Number of rebated units *Before 1/1/2015 **After 1/1/2015 Federal Code Change Electric Demand Savings Peak kW—Central and Rooftop Air Source Heat Pump ≥ 65 MBtuh (Cooling Capacity)—Tune-up
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Where:
= Annual savings from Central and RoofTop Air Source Heat Pump ≥ 65 MBtuh (Cooling Capacity) - Tune-up
= Calculated
CF = Peak Coincidence Factor = See Table 250 Units = Number of rebated units
Electric Demand Savings Peak kW—Geothermal Heat Pump—Tune-up
Where: = Annual savings from geothermal heat pump = Calculated
CF = Peak Coincidence Factor = See Table 250 Units = Number of rebated units
ALGORITHM VARIABLES:
Table 248. EFLH of Cooling and Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Heat Pump—Cooling
995 1,006 567 600 691 691 691
Heat Pump—Heating
471 610 396 588 478 478 478
Table 249. Energy Efficiency Ratio and Coefficient of Performance of Baseline Efficiency System
Size (MBtuh) EERBase (EER) COPBase (COP)
≥65 and <135 11.0 3.3
≥135 and <240 10.6 3.2
≥240 and <760 9.5 3.2
Table 250. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
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VARIABLE SOURCES:
Table 251. Heat Pump Tune-up Maintenance Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
Table 248. EFLH of Cooling and Heating
Inferred from the 2011 Assessment of Potential.
SFC
Cadmus Report: Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005. Source: Cadmus Report: Bin Analysis, Energy Savings Impact of Improving the Installation of Residential Central Air Conditioners, 2005.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
CAPHP Entered from application form, use cooling capacity as a proxy for total heat pump size.
Energy Savings: EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
SFH
"Analysis of Heat Pump Installation Practices and Performance" by Heat Pump Working Group for Regional Technical Forum (RTF), 2005. Source: "Analysis of Heat Pump Installation Practices and Performance" by Heat Pump Working Group for Regional Technical Forum, 2005.
Demand Savings: EERBase
Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3), calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
Table 250. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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HVAC: Package Terminal Air Conditioner and Heat Pump
Measure Description
Package terminal air conditioner (PTAC) units house all components: compressors; condenser and evaporator coils; expansion devices; condenser and evaporator fans; and associated operating and control devices—within a single cabinet. In most cases, this package unit is installed within a space and through the wall, as in the lodging segment. Standard size PTAC or package terminal heat pump (PTHP) refers to equipment with wall sleeve dimensions having: an external wall opening greater than or equal to 16 inches high or greater than or equal to 42 inches wide, and a cross-sectional area greater than or equal to 670 square inches. Non-standard size refers to PTAC or PTHP equipment with existing wall sleeve dimensions having: an external wall opening of less than 16 inches high or less than 42 inches wide, and a cross-sectional area less than 670 square inches.
Fuel Electric
End Use HVAC
Baseline Equipment Standard efficiency package terminal AC/HP unit
Efficiency Qualification -Package Terminal Air Conditioner: Minimum EER efficiency of 10.5 -Package Terminal Heat Pump: Minimum EER efficiency of 10.5 and COP efficiency of 3.0
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Cooling efficiency (in EER). -Heating efficiency (in COP).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Package Terminal Air Conditioner—EER Rated
Where:
CAPC = Capacity of cooling system in MBtuh (Tons x 12) = (7 to 15) EERBase = Energy Efficiency Ratio of baseline system = Calculated
EEREff = Energy Efficiency Ratio of new high-efficiency system = (10.5 to 16) EFLHC = Equivalent Full Load Hours of cooling = See Table 252 Units = Number of rebated units 10.9 = Constant used in calculating EERBase = 10.9
0.213 = Constant used in calculating EERBase = 0.213 Electric Savings kWh—Package Terminal Heat Pump—EER and COP Rated
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Where:
CAPH = Capacity of heating system in MBtuh (Tons x 12) = (7 to 15) COPEff = Coefficient of Performance of new high-efficiency system = (3 to 6) 3.412 = Conversion factor from Btuh to kilowatt EFLHH = Equivalent Full Load Hours of cooling = See Table 253
2.9 = Constant used in calculating COPBase = 2.9 0.026 = Constant used in calculating COPBase = 0.026
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Package Terminal Heat Pump—EER and COP Rated
Where:
Annual kWh = Annual savings from package terminal air conditioner = Calculated CF = Peak Coincidence Factor = See Table 254
ALGORITHM VARIABLES:
Table 252. Package Terminal Air Conditioner—EER Rated: EFLH of Cooling
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Cooling DX 1,022 807 593 851 791 791 791
Table 253. Package Terminal Heat Pump—EER and COP Rated: EFLH of Cooling and Heating
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
Heat Pump—Cooling
995 1,006 567 600 691 691 691
Heat Pump—Heating
471 610 396 588 478 478 478
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Table 254. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
VARIABLE SOURCES:
Table 255. Package Terminal Air Conditioner and Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
CAPc Entered from application form. If the unit’s capacity is less than 7,000 Btu/h, 7,000 Btu/h is used in the calculation. If the unit’s capacity is greater than 15,000 Btu/h, 15,000 Btu/h is used in the calculation.
EEREff Entered from application form.
CAPH Entered from application form.
COPEff Entered from application form.
COPBase Calculated based on Federal Standard 10 CFR Part 431: http://www.gpo.gov/fdsys/pkg/FR-2008-10-07/pdf/E8-23312.pdf EERBase
Table 252. Package Terminal Air Conditioner—EER Rated: EFLH of Cooling
Inferred from the 2011 Assessment of Potential.
Table 253. Package Terminal Heat Pump—EER and COP Rated: EFLH of Cooling and Heating
Inferred from the 2011 Assessment of Potential.
Table 254. Peak Coincidence Factor Inferred from the 2011 Assessment of Potential.
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HVAC: Programmable Thermostat
Measure Description Programmable thermostats automatically control setpoint temperatures, ensuring HVAC systems do not run during low-occupancy hours.
Fuel Electric/Gas
End Use HVAC Controls
Baseline Equipment A standard thermostat without a programmable feature.
Efficiency Qualification A programmable thermostat automatically controls setpoint temperatures, ensuring HVAC systems do not run during low-occupancy hours.
Required Rebate Application Inputs
Building area controlled by the programmable thermostat (in ft2).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Programmable Thermostat
Where: = Annual savings per square foot depends on heating and cooling
equipment = See Table 256
= Building square feet (in ft2) = (100 to 25,000) Natural Gas Savings Therms—Programmable Thermostat
Where: = Annual savings per linear foot depends on heating fuel
equipment = See Table 257
= Building square feet (in ft2) = (100 to 25,000) ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Programmable Thermostat
Where:
= Annual savings from programmable thermostat = Calculated = Peak Coincidence Factor = See Table 258
Natural Gas Demand Savings Peak Therms— Programmable Thermostat
Where: Annual Therms = Annual therms savings from programmable thermostat = Calculated
CF = Peak Coincidence Factor = See Table 259
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ALGORITHM VARIABLES:
Table 256. Annual Savings per Square Foot: Depends on Heating and Cooling Equipment
End Use HVAC System kWh/Sqft—SavingsPerUnit
Space Heat Electric Resistance 0.250
Heat Pump Heat Pump 0.245
Heat Pump Cooling Heat Pump 0.082
Heat Pump Heating Heat Pump 0.163
Cooling DX Rooftop DX 0.082
Table 257. Annual Savings per Square Foot: Depends on Heating Fuel Equipment
End Use HVAC System Therms/Swft- SavingsPerUnit
Space Heat Furnace Gas Furnace 0.013
Space Heat Boiler Gas Boiler 0.013
Table 258. Electric Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooling DX 0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Space Heat – – – – – – –
Heat Pump 0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Heat Pump- Cooling
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
Heat Pump- Heating
– – – – – – –
Table 259. Natural Gas Demand Savings: Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Furnace
0.01083404 0.00995413 0.00654527 0.01144178 – – 0.00883527
Space Heat Boiler
0.01083404 0.01149222 0.00980814 0.01184344 – – 0.01163881
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VARIABLE SOURCES:
Table 260. Programmable Thermostat Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 256. Annual Savings per Square Foot: Depends on Heating and Cooling Equipment
Inferred from the 2011 Assessment of Potential. Unit energy savings based on percent savings assumptions from Database for Energy Efficient Resources (DEER) and other assumptions.
SqFt Entered from application form.
Table 257. Annual Savings per Square Foot: Depends on Heating Fuel Equipment
Unit energy savings based on percent savings assumptions from DEER and other assumptions.
Table 258. Electric Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
Table 259. Natural Gas Demand Savings: Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: Bi-Level Control, Stairwell or Corridor
Measure Description Lighting controls sense the absence of occupants and either shut off individual lamps within multiple lamp fixtures or dim lamps to less than 50% power (typically 5%, 10%, or 33%) in stairwells or corridors.
Fuel Electric
End Use Commercial
Baseline Equipment Fixture on 24 hours a day.
Efficiency Qualification -Bi-level control for nonresidential stairwell or corridor lighting. -Conservative estimate determines savings.
Required Rebate Application Inputs
Total wattage controlled by bi-level sensor.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Stairwell or Corridor Bi-Level Lighting Control
Where:
Wcontrolled = Total wattage of lighting controlled by bi-level controls (per control)
SF = Savings factor for bi-level lighting controls = 40% 1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours depends if stairwell or corridor;
from the application = See Table 261
NUnits = Number of bi-level controllers installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Stairwell or Corridor Bi-Level Lighting Control
Where:
Annual kWh = Annual kWh savings from Stairwell or Corridor Bi-Level Lighting Control
= Calculated
CF = Peak Coincidence Factor = See Table 262
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ALGORITHM VARIABLES:
Table 261. Annual Hours of Lighting Use
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic,
Church, Warehouse, and Other
Commercial
Education, Office,
and Retail Industrial Agriculture
All Commercial
Exterior Lighting
Stairwell Lighting
8,760 8,760 8,760 8,760 8,760 8,760 8,760 4,000
Corridor Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 262. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital,
and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 263. Stairwell or Corridor Bi-Level Lighting Control Algorithm Sources
Algorithm Inputs
Algorithm Sources
SF 40%= Estimate based on summary of multiple sources below. Assume corridor and stairwell savings are the same. Available studies have small sample sizes; so a conservative estimate is used.
Wcontrolled Entered from the application form.
Table 261. Annual Hours of Lighting Use
Entered from the application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from Commercial Buildings Energy Consumption Survey (CBECS) 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day. based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 262. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: Daylighting Control
Measure Description Installation of daylighting controls (continuous dimming, dual-level switches, fluorescent fixtures).
Fuel Electric
End Use Commercial
Baseline Equipment Condition of no controls.
Efficiency Qualification -Minimum 45 watts controlled per control. -Daylighting controls with daylight harvesting ballasts.
Required Rebate Application Inputs
Total wattage controlled by day lighting (entered from application form).
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Daylighting Controls
Where:
Wcontrols = Total wattage controlled by daylighting controls SF = Savings factor in percent of savings by daylighting controls = 28%
1,000 = Conversion factor from watts to kilowatts = 1,000 HoursDaylight = Annual daylight hours = 2,600 ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Daylighting Controls
Where:
Annual kWh = Annual kWh savings from daylighting controls = Calculated CF = Peak Coincidence Factor = See Table 264
ALGORITHM VARIABLES:
Table 264. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
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VARIABLE SOURCES:
Table 265. Daylighting Controls Algorithm Sources
Algorithm Inputs Algorithm Sources
SF
A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings, Energy Analysis Department Lawrence Berkeley National Laboratory Berkeley, September 2011: http://efficiency.lbl.gov/drupal.files/ees/Lighting%20Controls%20in%20Commercial%20Buildings_LBNL-5095-E.pdf
Wcontrols Entered from application form.
HoursDaylight Astronomical Applications Department of the U.S. Naval Observatory: http://aa.usno.navy.mil/data/docs/RS_OneYear.php
Table 264. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: High-Efficiency Metal Halide
Measure Description Installation of lamps that require less power with pulse start or ceramic metal halide lamps.
Fuel Electric
End Use Commercial lighting
Baseline Equipment High-intensity discharge (HID) lighting with probe start fixture.
Efficiency Qualification
-Must be pulse start or ceramic metal halide.* -Must replace probe start fixtures. -The retrofit kit must include lamp and ballast. -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program *New standard will become effective January 1, 2015, but statutory deadline for the final rule was January 1, 2012. DOE missed the deadline. The earliest standard can be effective is still January 2015, but may be later. Re-evaluate measure if code is enacted.
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High-Efficiency Metal Halide Lighting
Where:
WBase = Wattage of baseline HID fixture = See Table 266 WEff = Wattage of efficient HID fixture = See Table 266
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 267
Nunits = Number of high-efficiency metal halide fixtures installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Efficiency Metal Halide Lighting
Where:
Annual kWh = Annual kWh savings from efficient metal halide lighting = Calculated CF = Peak Coincidence Factor = See Table 268
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ALGORITHM VARIABLES:
Table 266. Baseline HID and Efficient Metal Halide Fixture Wattages
Measure Standard HID—WBase WEff
MH 32W 43 41
MH 50W 72 68
MH 70W 95 90
MH 100W 128 121
MH 150W 189 178
MH 175W 215 208
MH 250W 295 288
MH 400W 458 452
MH 750W 850 818
MH 1000W 1,080 1,066
MH 1500W 1,610 1,589
Table 267. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 268. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 269. High-Efficiency Metal Halide Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 266. Baseline HID and Efficient Metal Halide Fixture Wattages
WBase:Metal halide HID fixture with pulse start ballast, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff: Based on efficient lamp wattage entered from application form.
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Algorithm Inputs Algorithm Sources
Table 267. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day. based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
NUnits Entered from application form.
Table 268. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: High Bay (HID) Delamping
Measure Description Removing unnecessary light bulbs or fixtures in areas producing greater-
than-needed illumination.
Fuel Electric
End Use Commercial lighting
Baseline Equipment High Bay (HID).
Efficiency Qualification
-Permanent lamp removal can be claimed if completed project results in a
net reduction in the quantity of lamps.
-Delamping requires removal of lamps/ballasts and unused lamp-holders from existing fixtures without replacing the lamps.
Required Rebate Application Inputs
Wattage of delamped bulb (lamp wattage not fixture wattage that includes
the ballast losses).
Market Opportunity Removal
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High Bay (HID) Delamping
Where:
WDelamp = Total wattage of delamped bulbs (sum of all lamps wattages) BF = Ballast factor to account for total fixture wattage = 1.1017
1.000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual lighting operating hours from the application = See Table 270
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings kW—High Bay (HID) Delamping
Where:
Annual kWh = Annual kWh savings from high bay (HID) delamping = Calculated CF = Peak Coincidence Factor = See Table 271
ALGORITHM VARIABLES:
Table 270. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
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Table 271. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 272. High Bay (HID) Delamping Algorithm Sources
Algorithm Inputs Algorithm Sources
WDelamp Entered from application form.
BF Engineering determination based on regression analysis from SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
Table 270. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 271. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: High-Bay
Measure Description Installation of lamps that require less power with high-bay T8 or T5HO fixtures replacing high-bay HID fixtures.
Fuel Electric
End Use Commercial
Baseline Equipment EISA compliant metal halide HID fixture with pulse start ballast after 2014.*
Efficiency Qualification
-High-Bay T8 fluorescent lamp with electronic ballast (T8). -High-Bay T5 high-output fluorescent lamp with electronic ballast (T5HO). -4' High-Bay T8 refers to a T8 lamp as part of a high-output electronic ballast and lamp fixture. -4' High-Bay T5 HO refers to a T5 high-output lamp as part of an electronic ballast and lamp fixture.
Required Rebate Application Inputs
-Efficient lamp type (T8, T5HO). -Efficient lamp quantity. -Replaced lamp type (HID). -Building type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program *New standard will become effective January 1, 2015, but statutory deadline for the final rule was January 1, 2012. DOE missed the deadline. The earliest standard can be effective is still January 2015, but may be later. Re-evaluate introduction to MH EISA code in 2014.
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High-Bay Lighting
Where:
WBase = Wattage of baseline high bay fixture = See Table 273 WEff = Wattage of efficient high bay fixture = See Table 273
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 274 NUnits = Number of efficient high-bay lighting fixtures installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Bay Lighting
Where:
Annual kWh = Annual kWh savings from efficient high-bay fixture = Calculated CF = Peak Coincidence Factor = See Table 275
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ALGORITHM VARIABLES:
Table 273. Baseline and Efficient High-Bay Fixture Wattage
Measure Lamp
Quantity
WBase
WEff After 1/1/2015 WBase—EISA Compliant Metal Halide HID
After 1/1/2015 WBase—EISA Compliant Metal Halide HID
4' High-Bay T8 3 189 178 112
4' High-Bay T8 4 215 208 152
4' High-Bay T8 5 295 288 189
4' High-Bay T8 6 295 288 226
4' High-Bay T8 8 370 365 302
4' High-Bay T5 HO 3 235 232 179
4' High-Bay T5 HO 4 295 288 234
4' High-Bay T5 HO 5 370 365 294
4' High-Bay T5 HO 6 405 400 351
4' High-Bay T5 HO 8 513 506 468
Table 274. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 275. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 276. High Bay Lighting Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 273. Baseline and Efficient High-Bay Fixture Wattage
WBase:EISA compliant metal halide HID fixture with pulse start ballast, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf; and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff: Based on efficient lamp type and quantity entered from application form, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
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Algorithm Inputs Algorithm Sources
Table 274. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 275. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: High-Performance and Reduced Wattage T8
Measure Description Installation of fluorescent lamps that require less power.
Fuel Electric
End Use Commercial
Baseline Equipment Standard T8 lamps.
Efficiency Qualification
-Fluorescent reduced wattage T8 (RWT8) and ballasts packages replacing EISA-compliant fluorescent T12 or standard fluorescent T8 and ballasts packages. -Fluorescent high-performance T8 (HPT8) and ballasts packages replacing EISA-compliant fluorescent T12 or standard fluorescent T8 and ballasts packages. -Must have a ballast factor of less than 0.79 (BF < 0.79). -CEE qualified high-performance and reduced wattage 4-foot fluorescent lamps and ballasts.
Required Rebate Application Inputs
-Efficient lamp type (HPT8, RWT8). -Efficient lamp quantity. -Replaced lamp type (T12 or standard T8). -Replaced lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—HPT8/RWT8 Fixtures
Where:
WBase = Wattage of baseline fluorescent fixture = See Table 277 WEff = Wattage of efficient fluorescent fixture = See Table 277
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 278
Nunits = Number of efficient light fixtures installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—HPT8/RWT8 Fixtures
Where:
Annual kWh = Annual kWh savings from HPT8/RWT8 lamp fixture = Calculated CF = Peak Coincidence Factor = See Table 279
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ALGORITHM VARIABLES:
Table 277. Baseline and Efficient HPT8/RWT8 Wattages
Measure Lamp Quantity WBase—
T8 Standard HPT8—WEff RWT8—WEff
HPT8/RWT8 (BF < 0.79) 1 31 27 21
HPT8/RWT8 (BF < 0.79) 2 59 54 42
HPT8/RWT8 (BF < 0.79) 3 89 76 63
HPT8/RWT8 (BF < 0.79) 4 112 105 84
HPT8/RWT8 (BF < 0.79) 6 175 156 126
Table 278. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 279. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 280. HTP8/RWT8 Fixtures Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 277. Baseline and Efficient HPT8/RWT8 Wattages
WBase: SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
WEff: Based on efficient lamp type and quantity entered from application form; SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B.
Table 278. Annual Hours of Lighting Use
Entered from application form or used default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2—Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7 day per week/16 hour per day based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 279. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential
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Lighting: Induction Lamp Replacement
Measure Description Installation of electrodeless induction lamps that require less power.
Fuel Electric
End Use Commercial Lighting
Baseline Equipment Metal halide lamp.
Efficiency Qualification
-Maximum wattage eligible is a 250-watt induction lamp. -One-for-one replacement of incandescent or HID fixtures, including mercury vapor, high-pressure sodium, and standard metal halide or pulse-start metal halide.* -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Replaced lamp wattage. -Replaced lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Commercial
Program Nonresidential Prescriptive Rebates
* Metal halide standard will become effective January 1, 2015, but statutory deadline for the final rule was January 1, 2012.
DOE missed the deadline. The earliest standard can be effective is still January 2015, but may be later. Re-evaluate measure if code is enacted. ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Induction Lamp Replacement
Where:
WBase = Wattage of baseline HID fixture = See Table 281 WEff = Wattage of efficient HID fixture = See Table 281
1,000 = Factor to convert watts to kilowatts Hours = Annual lighting operating hours from the application = See Table 282 NUnits = Number of high-efficiency metal halide fixtures installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Induction Lamp Replacement
Where:
Annual kWh = Annual kWh savings from metal halide lamp replacement = Calculated CF = Peak Coincidence Factor = See Table 283
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ALGORITHM VARIABLES:
Table 281. Baseline and Efficient Wattages of Induction Lamps
Measure: Induction Rated Wattage
Measure Category: Induction Watts Range
Fixture Wattage WBase Fixture Wattage WEff
200 180<W≤250 458 204
165 75<W≤180 397 168
120 75<W≤180 295 122
85 75<W≤180 215 87
70 W≤75 190 72
55 W≤75 128 56
40 W≤75 95 41
Average Wattage High Bin 180<W≤250 458 204
Average Wattage Medium Bin 75<W≤180 302 126
Average Wattage Low Bin W≤75 138 56
Table 282. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 283. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 284. Induction Lamp Replacement Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 281. Baseline and Efficient Wattages of Induction Lamps
WBase : Metal halide HID fixture wattage, based on SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf; and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff : Based on efficient lamp wattage entered from application form or use average wattage bins for default.
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Algorithm Inputs Algorithm Sources
Table 282. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
NUnits Entered from application form.
Table 283. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: LED Refrigerator Case Light
Measure Description
-Reduction in power consumption using linear LED light fixture. -Reduction in cooling load and thereby reduced power consumption by the compressor due to the reduction in the amount of heat added to the refrigerator by the light.
Fuel Electric
End Use Commercial
Baseline Equipment Refrigerator case T8 and T12 linear fluorescent lights.
Efficiency Qualification -Linear LED lights can have wattage ratings of 0<W≤7.5.
Required Rebate Application Inputs
-Linear feet of lamps in refrigerator case light replaced.* -Case temperature (medium temperature = cooler; low temperature = freezer). -Lighting hours of use.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Per Unit Electric Savings kWh—LED Refrigerator Case Light
Where:
∆kWLighting = Delta kW savings from baseline lamp wattage to LED wattage per foot
= See Table 285
HOU = Hours of use per day; number of hours of case-lighting from application
= 18*
∆kWRefrigeratio
n = Delta kW savings from the reduction in refrigeration load
required to cool per foot = See Table 286
365 = Days per year LnFt = Length of lamps in refrigerator case light replaced, in linear ft.
*Use provided default value only if value is not available
ANNUAL ENERGY DEMAND ALGORITHM: Per Unit Electric Demand Savings Peak kW—LED Refrigerator Case Light
Where:
Annual kWh = Annual kWh savings from LED Refrigerator Case Light = Calculated CF = Peak Coincidence Factor = See Table 287
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ALGORITHM VARIABLES:
Table 285. Delta kW Lighting by Temperature Levels
Reach-in Case Temperature ∆kWLighting (Per Foot)
Low 0.0077
Medium 0.0077
Default 0.0077
Table 286. Delta kW Refrigeration by Temperature Levels
Reach-in Case Temperature ∆kWRefrigeration (Per Foot)
Low 0.0052
Medium 0.0029
Default 0.0036
Table 287. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 288. LED Refrigerator Case Light Algorithm Sources
Algorithm Inputs Algorithm Sources
∆kWLighting Assume T8 baseline and average LED wattage from Regional Technical Forum; Commercial: Grocery—Display Case LEDs (Reach-In Cases); http://rtf.nwcouncil.org/measures/measure.asp?id=104
HOU
From application or use default. Default: Regional Technical Forum; Commercial: Grocery—Display Case LEDs (Reach-In Cases): http://rtf.nwcouncil.org/measures/measure.asp?id=104
∆kWRefrigeration Assume T8 baseline and average LED wattage from Regional Technical Forum; Commercial: Grocery—Display Case LEDs (Reach-In Cases): http://rtf.nwcouncil.org/measures/measure.asp?id=104
Table 287. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: LED Exit Sign
Measure Description LED exit signs use low wattage of power and last over 50,000 hours, while CFL exit signs can use two to four times more power and have a shorter life.
Fuel Electric
End Use Lighting
Baseline Equipment Existing exit signs with CFLs installed.
Efficiency Qualification -Existing construction only. -Must replace incandescent or CFL exit sign. -Direct-install.
Required Rebate Application Inputs
-Number of units. -Replacement exit sign type (CFL or Incandescent). -Installed exit sign type (LED).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Exit Sign
Where:
ExitSignSavings = Average annual unit energy savings from LED exit sign in kWh/unit/year
= 214
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED Exit Sign
Where:
Annual kWh = Annual kWh savings from LED exit sign = Calculated CF = Peak Coincidence Factor = See Table 289
ALGORITHM VARIABLES:
Table 289. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
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VARIABLE SOURCES:
Table 290. LED Exit Sign Algorithm Sources
Algorithm Inputs Algorithm Sources
ExitSignSavings
Ratio of incandescent exit signs to all incandescent, fluorescent, and LED exit signs. Rensselaer Polytechnic Institute and Lighting Research Center, estimated that 90% of eligible exit signs were incandescent (2005). WI Focus on Energy, “Business Programs: Deemed Savings Manual V1.0.” Update Date: March 22, 2010. LED Exit Sign. "2010 U.S. Lighting Market Characterization" January 2012: http://apps1.eere.energy.gov/buildings/publications/pdfs/ssl/2010-lmc-final-jan-2012.pdf
Units Entered from application form.
Table 289. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: LED and CFL Fixtures
Measure Description Installation of LED and CFL fixtures requiring less power than conventional incandescent, fluorescent, or HID fixtures.
Fuel Electric
End Use Commercial Lighting
Baseline Equipment Incandescent, fluorescent, or PSMH and MH HID technology lighting for given applications.
Efficiency Qualification
-ENERGY STAR-qualified CFL fixture or DesignLights Consortium qualified LED Fixture. -All ENERGY STAR categories. -Outdoor fixtures: outdoor pole/arm-mounted, bollards, parking garage, fuel pump canopy, landscape/accent, architectural flood and spot luminaires. -Indoor fixtures: wall-wash, track or mono-point directional, high-bay, low-bay, and high-bay aisle luminaires. -All categories mentioned previously with retrofit kits are eligible.
Required Rebate Application Inputs
-Efficient fixture wattage. -Efficient fixture quantity. -Technology replaced by new fixture (incandescent, fluorescent or HID technology). -Hours of use or building type group. -Application type (exterior or interior).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED and CFL Fixtures
Where:
WM = Wattage Multiplier to convert efficient to baseline wattage = See Table 291 WEff = Wattage of efficient fluorescent fixture
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 292 NUnits = Number of fixtures installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED and CFL Fixtures
Where:
Annual kWh = Annual kWh savings from LED/CFL fixture = Calculated CF = Peak Coincidence Factor = See Table 3
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ALGORITHM VARIABLES:
Table 291. Wattage Multiplier for Different Baseline Fixtures
Measure Replaced Technology
WM—Incandescent WM—Fluorescent WM—HID
LED Fixtures 3.13 1.02 2.01
CFL Fixtures 3.13 1.02 2.01
Table 292. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 293. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 294. LED/CFL Fixtures Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 291. Wattage Multiplier for Different Baseline Fixtures
-Incandescent wattage multiplier (WM), based on ENERGY STAR-qualified lamp product database. -Fluorescent WM based on Design Light Consortium product database. -HID WM based the Scotopic/Photopic (S/P) ratio analysis by Howard Lighting with reference to LBNL.
WEff Based on efficient lamp type and quantity entered from application form.
Table 292. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 293. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: LED and CFL Lamps
Measure Description Installation of LEDs and CFLs requiring less power than incandescent lamps.
Fuel Electric
End Use Commercial
Baseline Equipment Standard incandescent lamps; baseline wattages are based on EISA standards that take affect 1/1/14.
Efficiency Qualification -ENERGY STAR-qualified CFL or LED. -Efficient wattage ranges based on ENERGY STAR lamps qualified on or after 1/1/12.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Hours of use or building type group. -Application type (exterior or interior).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LEDs and CFLs
Where:
WBase = Wattage of baseline incandescent lamp = See Table 295 WEff = Wattage of efficient LED/CFL
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 296 NUnits = Number of efficient lamps
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LEDs and CFLs
Where:
Annual kWh = Annual kWh savings from CFL/LED = Calculated CF = Peak Coincidence Factor = See Table 297
ALGORITHM VARIABLES:
Table 295. Baseline Wattages for Varying CFL/LED Wattage Ranges
CFL/LED Wattage Range WBase
1-5 25
6-11 29
12-15 43
16-21 53
22-37 72
38-49 150
50-71 200
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Table 296. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
Table 297. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 298. LEDs and CFLs Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 295. Baseline Wattages for Varying CFL/LED Wattage Ranges
Analysis of ENERGY STAR-qualified product list, 9/12/13: http://www.energystar.gov/index.cfm?c=products.pr_find_es_products
WEff Entered from application form.
Table 296. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 297. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: Metal Halide Lamp Replacement
Measure Description Installation of metal halide miser lamps that require less power.
Fuel Electric
End Use Commercial lighting
Baseline Equipment Metal halide lamp.
Efficiency Qualification -Must replace 400 watt lamp (or greater) with ≤ 360 watt miser lamp.* -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Replaced lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program * New standard will become effective January 1, 2015, but statutory deadline for the final rule was January 1, 2012. DOE missed the deadline. The earliest standard can be effective is still January 2015, but may be later. Re-evaluate measure if code is enacted.
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Metal Halide Lamp Replacement
Where:
WBase = Wattage of baseline HID fixture = 458* 452*
WEff = Wattage of efficient HID fixture = 412 1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours from the application = See Table 299
Nunits = Number of high-efficiency metal halide fixtures installed *After 1/1/2015
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Metal Halide Lamp Replacement
Where:
Annual kWh = Annual kWh savings from efficient HID fixture = Calculated CF = Peak Coincidence Factor = See Table 300
ALGORITHM VARIABLES:
Table 299. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
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Table 300. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 301. Metal Halide Lamp Replacement Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase
Metal halide HID fixture wattage, based on SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf; and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff Based on efficient lamp wattage entered from application form.
Table 299. Annual Hours of Lighting Use
Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council, the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
NUnits Entered from application form.
Table 300. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: Occupancy Sensor
Measure Description Savings captured through the installation of an occupancy sensor for lighting fixtures to limit light usage to times when people occupy the area.
Fuel Electric
End Use Lighting
Baseline Equipment Lighting system with a manual on/off toggle switch, without an occupancy sensor installed.
Efficiency Qualification -Controlling a minimum of 45 watts of lighting. -Wall-switch, fixture-mounted, remote-mounted control.
Required Rebate Application Inputs
-Total wattage controlled by occupancy sensor. -Hours of use or building type group.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Occupancy Sensor
Where:
WTotalControlled = Total wattage of lighting controlled by all occupancy sensors 1,000 = Conversion factor from watts to kilowatts = 1,000
SF = Savings Factor = 24% Hours = Annual lighting operating hours = See Table 302*
Use provided default value only if actual value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Occupancy Sensor
Where:
CF = Peak Coincidence Factor = See
Table 303 ALGORITHM VARIABLES:
Table 302. Default Annual Lighting Operating Hours
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
5,211 5,126 3,824 3,310 6,000 4,500 3,806
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Table 303. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Other Plug Load
0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 304. Occupancy Sensor Algorithm Sources
Algorithm Inputs Algorithm Sources
WTotalControlled Entered from application form.
SF
LBNL study of secondary sources: 240 savings estimates from 88 papers and case studies. Williams, A., Atkinson, B., Garbesi K. and Rubinstein, F. "A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings." LBNL, September 2011, document LBNL-5095E.
Hours
Entered from application form; default value obtained from groups, weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 302. Default Annual Lighting Operating Hours
ENERGY STAR Office Equipment Savings Calculator; calculator version last updated December 2010: http://www.energystar.gov/ia/products/fap//Calc_office_eq.xls
Table 303. Peak
Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Lighting: Time Clocks and Timers for Lighting
Measure Description
-Savings captured by installing time clock controls to turn lights on and off at given times. -Typically, time clocks control exterior lights used at night. -Exterior lights turned off manually during work-week daylight hours by workers, but, during weekend daylight hours, they are left on without a time clock. -A time clock serves to automatically shut the lights off during weekend daylight hours, saving approximately 24 hours of usage per weekend.
Fuel Electric
End Use Lighting
Baseline Equipment Manual switching of light, without time clock controls.
Efficiency Qualification -Commercial grade time clock to control light usage, installed as a retrofit. -Minimum 45 watts controlled.
Required Rebate Application Inputs
-Total wattage controlled by time clock. -Annual operating hours of lamps before timer controls installed. -Annual hours spent in “on” mode of lamps controlled with timer controls.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Time Clock Controls
Where: = Total wattage of Lighting Controlled by Time Clock
= Total annual operating hours of lamps without timer controls Annual hours spent in On mode of lamps controlled with timer
controls. = 1,248*
1,000 = Factor to convert watts to kilowatts = Number of time clocks installed
*Use provided default value only if the actual value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Time Clock Controls
Where:
CF = Peak Coincidence Factor = 0
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VARIABLE SOURCES:
Table 305. Time Clocks and Timers for Lighting Algorithm Sources
Algorithm Inputs Algorithm Sources
Wcontrolled Entered from application form.
OPHRSTotal Entered from application form.
OPHRSTimeClockHours Entered from application form; default value based on DEER Update Study for SCE, p. 65 (report p. 3-13): http://www.calmac.org/publications/2004-05_DEER_Update_Final_Report-Wo.pdf
CF The savings time period is on the weekend, and therefore does not overlap with the peak time.
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Lighting: Traffic Lights
Measure Description LED traffic signals typically use 80% to 90% less energy than incandescent bulbs. In addition, the life expectancy of LED traffic signal lamps can reduce maintenance costs over incandescent technologies.
Fuel Electric
End Use Lighting
Baseline Equipment Standard traffic signal lights.
Efficiency Qualification LED fixture.
Required Rebate Application Inputs
-Number of units. -Traffic light use type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Traffic Lights
Where: TrafficLightSavings = Total wattage of Lighting Controlled by Time Clock = See Table 306
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED Traffic Lights
Where:
CF = Peak Coincidence Factor = 0.0001142
ALGORITHM VARIABLES:
Table 306. Annual Savings from LED Traffic Light
Traffic Light Use Type TrafficLightSavings [kWh]
12" Green Arrow 115
10" Green Arrow 85
8" Green Arrow 55
12" Green Ball 441
10" Green Ball 325
8" Green Ball 209
12" Red Ball 598
10" Red Ball 446
8" Red Ball 294
Don't Walk 12" Lamp 1,070
Don't Walk 8" Lamp 922
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VARIABLE SOURCES:
Table 307. LED Traffic Light Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 306. Annual Savings from LED Traffic Light
Inferred from Minnesota Department of Commerce: mn.gov/commerce/energy/images/LEDTrafficSignals.xls
CF Assume 1/8760; 8760 = number of hours in a year.
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Lighting: T8 or T12 Delamping
Measure Description Removing unnecessary light bulbs or fixtures in areas producing greater-than-needed illumination.
Fuel Electric
End Use Commercial lighting
Baseline Equipment T8 standard baseline, regardless of existing bulbs, to account for EISA.
Efficiency Qualification
-Permanent lamp removal can be claimed if the completed project results in a net reduction in the quantity of lamps. -De-lamping requires removal of lamps/ballasts and unused lampholders from existing fixtures without replacing the lamps.
Required Rebate Application Inputs
-Linear feet of bulbs delamped.
Market Opportunity Removal; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—T8 or T12 Delamping
Where:
WRemoved = Removed wattage per linear foot of lighting delamped = 7.2 1,000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual lighting operating hours from the application = See Table 408
LF = Linear feet of bulbs removed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings kW—T8 or T12 Delamping
Where:
Annual kWh = Annual kWh savings from T8/T12 delamping = Calculated CF = Peak Coincidence Factor = See Table 409
ALGORITHM VARIABLES:
Table 308. Annual Hours of Lighting Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Exterior Lighting
5,211 5,126 3,824 3,310 6,000 4,500 3,806 4,000
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Table 309. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
VARIABLE SOURCES:
Table 310. T8/T12 Delamping Algorithm Sources
Algorithm Inputs Algorithm Sources
WRemoved Based on T8 standard wattage from engineering determination drawn from SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
LF Entered from application form.
Table 308. Annual Hours of Lighting Use
Entered from application form or using default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on Lawrence Berkeley National Laboratory: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
Table 309. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Motor: Enhanced Motor (Ultra-PE)
Measure Description
CEE premium-efficiency motors prove more efficient than standard National Electrical Manufacturers Association (NEMA) efficiency motors. This measure specifically relates to HVAC motors and pumps, ranging from 1 horsepower (hp) to 350 hp. CEE motor nominal efficiencies are higher than the NEMA federal minimum efficiency levels that became effective in December 2010. Units greater than 350 hp use the custom program.
Fuel Electric
End Use Agriculture
Baseline Equipment Standard NEMA efficiency motor.
Efficiency Qualification
-Enhanced (Ultra-PE) Motors ≥1 and ≤15 hp, 1,200–3,600 revolutions per minute (RPM). -Enhanced (Ultra-PE) Motors ≥20 and ≤40 hp, 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥50 and ≤100 hp, 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥125 and ≤200 hp, 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥250 and ≤350 hp, 1,200–36,00 RPM. -See efficiency requirements from Table 1. -Greater than 350 hp use custom program.
Required Rebate Application Inputs
-Number of units. -Motor hp. -Motor speed (RPM). -Motor type (open drip proof, totally enclosed fan).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Enhanced Motor (Ultra-PE)
Where: MotorBase = Efficiency rating of standard baseline motor = See Table 311
MotorEff = Efficiency rating of new high-efficiency (CEE) motor = See Table 311 HP = Horsepower of new high-efficiency motor = (1 to 350)
0.746 = Conversion factor from horsepower to kW = 0.746 LF = Loading Factor = 0.75*
HOU = Annual operating hours, depending on hp size = See Table 312
Nunits = Number of units *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Enhanced Motor (Ultra-PE)
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Where: CF = Agriculture Peak Coincidence Factor = See Table 313
ALGORITHM VARIABLES:
Table 311. Motor Efficiency Base Percent and Minimum EFF Percent
Open Drip Proof (ODP) Totally Enclosed Fan Cooled (TEFC)
Horsepower Speed (RPM)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
1 3,600 77.0% 84.0% 77.0% 84.0%
1,800 85.5% 86.5% 85.5% 86.5%
1,200 82.5% 84.0% 82.5% 84.0%
1.5 3,600 84.0% 85.5% 84.0% 85.5%
1.5 1,800 86.5% 87.5% 86.5% 87.5%
1.5 1,200 86.5% 87.5% 87.5% 88.5%
2 3,600 85.5% 86.5% 85.5% 86.5%
1,800 86.5% 87.5% 86.5% 87.5%
1,200 87.5% 88.5% 88.5% 89.5%
3 3,600 85.5% 86.5% 86.0% 87.5%
3 1,800 89.5% 90.2% 89.5% 90.2%
3 1,200 88.5% 89.5% 89.5% 90.2%
5 3,600 86.5% 89.5% 88.5% 89.5%
1,800 89.5% 90.2% 89.5% 90.2%
1,200 89.5% 90.2% 89.5% 90.2%
7.5 3,600 88.5% 89.5% 89.5% 90.2%
7.5 1,800 91.0% 91.7% 91.7% 92.4%
7.5 1,200 90.2% 91.7% 91.0% 91.7%
10 3,600 89.5% 90.2% 90.2% 91.0%
1,800 91.7% 92.4% 91.7% 92.4%
1,200 91.7% 92.4% 91.0% 91.7%
15 3,600 90.2% 91.0% 91.0% 91.7%
15 1,800 93.0% 93.6% 92.4% 93.0%
15 1,200 91.7% 92.4% 91.7% 92.4%
20 3,600 91.0% 91.7% 91.0% 92.4%
1,800 93.0% 93.6% 93.0% 93.6%
1,200 92.4% 93.0% 91.7% 92.4%
25 3,600 91.7% 93.0% 91.7% 92.4%
25 1,800 93.6% 94.1% 93.6% 94.5%
25 1,200 93.0% 93.6% 93.0% 94.1%
30 3,600 91.7% 92.4% 91.7% 92.4%
1,800 94.1% 94.6% 93.6% 94.1%
1,200 93.6% 94.1% 93.0% 93.6%
40 3,600 92.4% 93.0% 92.4% 93.0%
40 1,800 94.1% 94.5% 94.1% 94.5%
40 1,200 94.1% 94.5% 94.1% 94.5%
50 3,600 93.0% 93.6% 93.0% 93.6%
1,800 94.5% 95.0% 94.5% 95.0%
1,200 94.1% 94.5% 94.1% 94.5%
60 3,600 93.6% 94.1% 93.6% 94.1%
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Open Drip Proof (ODP) Totally Enclosed Fan Cooled (TEFC)
Horsepower Speed (RPM)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
60 1,800 95.0% 95.4% 95.0% 95.8%
60 1,200 94.5% 95.0% 94.5% 95.0%
75 3,600 93.6% 94.1% 93.6% 94.5%
1,800 95.0% 95.4% 95.4% 95.8%
1,200 94.5% 95.0% 94.5% 95.0%
100 3,600 93.6% 94.5% 94.1% 94.5%
100 1,800 95.4% 95.8% 95.4% 95.8%
100 1,200 95.0% 95.4% 95.0% 95.4%
125 3,600 94.1% 94.5% 95.0% 95.4%
1,800 95.4% 95.8% 95.4% 95.8%
1,200 95.0% 95.4% 95.0% 95.4%
150 3,600 94.1% 94.5% 95.0% 95.8%
150 1,800 95.8% 96.2% 95.8% 96.2%
150 1,200 95.4% 95.8% 95.8% 96.2%
200 3,600 95.0% 95.4% 95.4% 95.8%
1,800 95.8% 96.2% 96.2% 96.5%
1,200 95.4% 95.8% 95.8% 96.2%
250 3,600 94.5% 95.0% 95.4% 95.8%
250 1,800 95.4% 95.8% 95.0% 96.2%
250 1,200 95.4% 95.4% 95.0% 95.8%
300 3,600 95.0% 95.4% 95.4% 95.8%
1,800 95.4% 95.8% 95.4% 96.2%
1,200 95.4% 95.4% 95.0% 95.8%
350 3,600 95.0% 95.4% 95.4% 95.8%
350 1,800 95.4% 95.8% 95.4% 96.2%
350 1,200 95.4% 95.4% 95.0% 95.8%
400 3,600 95.4% 95.8% 95.4% 95.8%
1,800 95.4% 95.8% 95.4% 96.2%
1,200 95.8% 95.8%
450 3,600 95.8% 95.8% 95.4% 95.8%
450 1,800 95.8% 96.2% 95.4% 96.2%
450 1,200 96.2% 95.8%
500 3,600 95.8% 95.8% 95.4% 95.8%
1,800 95.8% 96.2% 95.8% 96.2%
1,200 96.2% 95.8%
Table 312. Mean Annual Operating Hours of Enhanced Motors
Unit hp Range Mean Annual HOU
1-5 2,745
6-20 3,391
21-50 4,067
51-100 5,329
101-200 5,200
201-350 6,132
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Table 313. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
HVAC Aux 0.0001404 0.0002287 0.0001829 0.0001905 0.0001308 0.0001308 0.0001797
VARIABLE SOURCES:
Table 314. Enhanced Motor (Ultra-PE) Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 314. Enhanced Motor (Ultra-PE) Algorithm Sources
Full-load efficiencies for NEMA Standard Premium Efficiency Motors (EISA Standard, effective Dec. 2010). 1-200 hp Full-load efficiencies for NEMA Energy Policy Act (EPAct) Energy-Efficient motors. 250-500; EPAct 2005 requires all federal motor purchases to meet Federal Energy Management Program (FEMP)-designated performance requirements. FEMP has adopted requirements that are equivalent to these NEMA Premium specification levels.
MotorEff Entered from application form.
HP Entered from application form.
LF 2008 Assessment of Potential (Ratio between the actual load and the rated load. Motor efficiency curves typically result in motors being most efficient at approximately 75% of the rated load. The default value is 0.75. PA 2013 TRM.)
HOU United States Industrial Electric Motor Systems Mark Opportunities Assessment (p. 66), December 2012: http://www1.eere.energy.gov/manufacturing/tech_assistance/pdfs/mtrmkt.pdf
CF Inferred from the 2011 Assessment of Potential.
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Motor: Variable-Frequency Drives
Measure Description
Variable-speed controls allow pump and fan motors to operate at lower speeds, while still maintaining setpoints during partial load conditions. Energy reduces when motor operation varies with the load rather than runs at a constant speed.
Fuel Electric
End Use Motor
Baseline Equipment A fan or pump motor with a hp of 5 to 200 hp.
Efficiency Qualification Application for motors 5 to 200 hp.
Required Rebate Application Inputs
-Number of units. -Motor hp. -Motor speed (RPM). -Motor type (open drip proof or totally enclosed fan). -Motor efficiency (EFFmotor). -Application type (fan or pump).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Commercial
Program Commercial Prescriptive Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Variable Frequency Drive (VFD)
Where: HP = Horsepower of new or existing high-efficiency motor = (1 to 500)
EffMotor = Efficiency rating of motor being controlled by VFD = (50.0% to 98.0%) 0.746 = Conversion from horsepower to kW = 0.746
LF = Loading Factor = 0.75* SF = Savings Factor, depending on application type = Fan: 0.2129
Pump: 0.4175 Other: 0.1252
EFFVSD = Efficiency rating of VFD = 0.95 HOU = Annual operating hours, depending on hp size = See Table 315 Nunits = Number of units
*Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Variable Frequency Drive (VFD)
Where:
DSF = Demand Savings Factor, depending on application type =
Fan: 0.1387 Pump: 0.1495 Other: 0
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CF = Peak Coincidence Factor = See Table 316 ALGORITHM VARIABLES:
Table 315. Mean Annual Operating Hours of VFD
Unit hp Range Mean Annual HOU
1-5 2,745
6-20 3,391
21-50 4,067
51-100 5,329
101-200 5,200
Table 316. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
HVAC Aux 0.0001404 0.0002287 0.0001829 0.0001905 0.0001308 0.0001308 0.0001797
VARIABLE SOURCES:
Table 317. Variable Frequency Drive Algorithm Sources
Algorithm Inputs Algorithm Sources
HP Entered from application form.
EFFmotor Entered from application form or use default table below: TABLE: Motor Efficiency Base %
LF Ratio between the actual load and the rated load. Motor efficiency curves typically result in motors operating most efficiently at approximately 75% of the rated load. The default value is 0.75. PA 2013 TRM.
SF/DSF
Averaged VFD savings, based on application type. Percentages based on analysis derived using a temperature BIN spreadsheet and typical heating, cooling, and fan load profiles. Analysis by UI and CL&P Program Savings Documentation for 2012 and 2011 Program Year, United Illuminating Company, September 2011.
EFFVSD Variable speed drive conversion efficiency can from 90.0% to 99.0%, assume an average efficiency of 95%.
HOU United States Industrial Electric Motor Systems Mark Opportunities Assessment (p. 66), December 2012: http://www1.eere.energy.gov/manufacturing/tech_assistance/pdfs/mtrmkt.pdf
CF Inferred from the 2011 Assessment of Potential.
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Office: Computer
Measure Description Savings captured by replacing a standard computer with an ENERGY STAR computer.
Fuel Electric
End Use Office
Baseline Equipment Standard computer.
Efficiency Qualification ENERGY STAR-qualified computer.
Required Rebate Application Inputs
-Equipment type (desktop/integrated computer, notebook, thin clients, qualified servers-single configurations, qualified servers-families, or PC network management software) with model number to confirm ENERGY STAR. -Number of units.
Market Opportunity Early Replacement; Replacement on Burnout
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Computer
Where:
ComputerSavings = Annual kWh savings per equipment = See Table 318 Units = Number of units
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Computer
Where: CF = Peak Coincidence Factor = See
Table 319 ALGORITHM VARIABLES:
Table 318. Annual kWh Savings per Computer
Equipment Type kWh Savings
Desktops and Integrated Computers 133
Thin Clients 346
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Table 319. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Other Plug Load
0.00016134 0.00015053 0.00016134 0.00016134 0.00013081 0.00013081 0.00016134
VARIABLE SOURCES:
Table 320. ENERGY STAR Computer Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 318. Annual kWh Savings per Computer
ENERGY STAR Office Equipment Savings Calculator: Calculator version last updated December 2010: http://www.energystar.gov/ia/products/fap//Calc_office_eq.xls
Table 319. Peak
Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Office: Network Computer Management
Measure Description Network computer power management automatically places computers into a low-power "sleep mode" after a period of inactivity. Simply touching the mouse or keyboard "wakes" the computer in seconds.
Fuel Electric
End Use Office
Baseline Equipment Computers not controlled by network computer power management system.
Efficiency Qualification
-Must provide energy savings estimate generated by the software or another assessment tool. -Network system must control a minimum of 10 units. -Installation must allow centralized, server-level control of the power management settings (sleep mode and shutdown) of the desktop computers on a distributed network. -Must include a copy of the report from the network management software verifying the number of PCs controlled by the software and the number of computers authorized per license.
Required Rebate Application Inputs
-Number of units, by equipment type. -Number of ENERGY STAR-qualified units, by equipment type.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Network Energy Management
Where: NetworkUnitSavings = Per-unit energy savings per computer controlled by the
network management system = See Table 321
Units = Number of units controlled by the network energy management system
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Network Energy Management
Where:
CF = Peak Coincidence Factor = See Table 322 ALGORITHM VARIABLES:
Table 321. kWh Savings from Computer Controlled by Network Management System
Equipment Type kWh Savings
Desktop Computers 233
Notebook Computers1 12
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Table 322. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Other Plug Load
0.00016134 0.00015053 0.00016134 0.00016134 0.00013081 0.00013081 0.00016134
VARIABLE SOURCES:
Table 323. Network Computer Management Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 321. kWh Savings from Computer Controlled by Network Management System
ENERGY STAR Document “LowCarbonITSavingsCalc”: http://www.energystar.gov/ia/products/power_mgt/LowCarbonITSavingsCalc.xlsx
Table 322. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Office: Server
Measure Description
Standard computer servers consume 1,200 to 8,600 kWh annually. Companies purchasing ENERGY STAR-qualified servers could save as much as 1,000 kWh per server. Computer servers earning the ENERGY STAR label, on average, are 30% more energy efficient than standard servers.
Fuel Electric
End Use Office
Baseline Equipment Standard computer server.
Efficiency Qualification ENERGY STAR-qualified.
Required Rebate Application Inputs
-ENERGY STAR model number. -Number of units.
Market Opportunity Early Replacement; Replacement on Burnout
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—ENERGY STAR Server
Where: ServerSavings = Annual server unit ENERGY savings by category = See Table 324
Units = Number of servers ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—ENERGY STAR Server
Where: CF = Peak Coincidence Factor = See
Table 325 ALGORITHM VARIABLES:
Table 324. kWh Savings from ENERGY STAR Servers
ENERGY STAR Category Number of Processors Service Processor Installed? kWh Savings
A 1 No 136
B 1 Yes 1,004
C 2 No 416
D 2 Yes 1,097
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Table 325. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Other Plug Load
0.00016134 0.00015053 0.00016134 0.00016134 0.00013081 0.00013081 0.00016134
VARIABLE SOURCES:
Table 326. ENERGY STAR Servers Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 324. kWh Savings from ENERGY STAR Servers
Savings are based on the Version 2, ENERGY STAR Product Specifications for Computer Servers (Revised Sep. 2013; Effective Dec. 16, 2013).
Table 325. Peak
Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Pool: Pool/Spa Cover
Measure Description Using a pool cover can reduce year-round outdoor pool energy consumption by roughly 8%. Savings result from reduced evaporation and increased insulation on the water's surface.
Fuel Gas
End Use Pool
Baseline Equipment Outdoor pools/spas with no cover.
Efficiency Qualification
-Pool Cover: Minimum R-value of 1.5. -Spa Cover: Minimum R-value of 14. -If indoor application, move to custom to account for HVAC interactions of the specific project.
Required Rebate Application Inputs
-Pool or spa cover size (in ft2).
-Seasons that the pool/spa is heated.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Natural Gas Savings Therms—Pool Cover
Where: Savings = Deemed savings factor based on the area of the pool cover
and the seasons used = See Table 327
Season = Seasons the pool is heated = Summer only* Sqft = Pool surface area in ft2 = (50 to 10,000)
1,000* Unit = Number of rebated units
*Use default value only if actual value is not available. Natural Gas Savings Therms—Spa Cover
Where:
Savings = Deemed savings factor based on the area of the spa cover and the seasons used
= See Table 327
Season = Seasons the spa is heated = Year-round* Sqft = Spa surface area in ft2 = (40 to 200)
120* Unit = Number of rebated units
*Use default value only if actual value is not available.
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ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Annual Peak Therms/hr—Pool/Spa Cover
Where:
CF = Peak Coincidence Factor = See Table 328 ALGORITHM VARIABLES:
Table 327. Per Square Foot Therms Savings from Pool/Spa Covers
Season Pool Savings [Therms/ft
2]
Spa Savings [Therms/ft
2]
Spring 0.37 0.13
Summer 0.21 0.10
Fall 0.77 0.22
Winter 0.92 0.24
Year-round 2.27 0.70
Table 328. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat 0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 329. Pool/Spa Cover Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
Unit Entered from application form.
Table 327. Per Square Foot Therms Savings from Pool/Spa Covers
Assume Spa Operation Temperature assumed at 95 F; extrapolated from U.S. DOE: http://energy.gov/energysaver/articles/gas-swimming-pool-heaters
Table 328. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Anti-Sweat Heating Controls
Measure Description
Anti-sweat heater (ASH) controls sense the humidity in the store outside of reach-in, glass door refrigerated cases, and turn off anti-sweat heaters during periods of low humidity. Without controls, anti-sweat heaters run continuously, whether they are necessary or not. Savings result from the reduction in energy used by not having the heaters running at all times. In addition, secondary savings result from reduced cooling loads on the refrigeration unit when the heaters are off. The ASH control is applicable to glass doors with heaters.
Fuel Gas
End Use Refrigeration
Baseline Equipment Anti-sweat heaters with no controller installed.
Efficiency Qualification Anti-sweat heater equipped with controls.
Required Rebate Application Inputs
-Temperature of the display cases: freezer (low) and cooler (medium) temperature. -Length of the display case, in linear feet.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Anti-Sweat Heating Controls
Where: SavingsLinearFt = Annual savings per linear foot of display case = See Table 330
LinearFt = Length of the case, in linear ft. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Anti-Sweat Heating Controls
Where:
Annual kWh = Annual kWh savings from anti-sweat heating controls = Calculated CF = Peak Coincidence Factor = See Table 331
ALGORITHM VARIABLES:
Table 330. kWh Savings per Foot for Anti-Sweat Heating Controls
Display Case Temperature [°F] Savings [kWh/ft/yr]
Cooler: Medium (0 to 30) 409
Freezer: Low (-35 to -5) 753
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Table 331. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Cooking 0.00307372 0.00293772 0.00345493 0.00052694 - - 0.00259005
VARIABLE SOURCES:
Table 332. Anti-Sweat Heating Controls Algorithm Sources
Algorithm Inputs Algorithm Sources
LinearFt Entered from application form.
Table 330. kWh Savings per Foot for Anti-Sweat Heating Contro
Temperature of the display cases: freezer (low) and cooler (medium) temperature entered from application form; savings based on PA 2013 TRM, with reference to WI 2010 TRM.
Table 331. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: ECM on Display Case Evaporator Fans
Measure Description
ECMs are installed on grocery display case evaporator fans in place of shaded pole (SP) or permanent split capacitor (PSC) motors, capturing direct savings from reductions in evaporator fan power and indirect savings from refrigeration systems.
Fuel Electric
End Use Refrigeration
Baseline Equipment SP or PSC motor
Efficiency Qualification The new ECM must operate more efficiently than the previously existing SP or PSC motor.
Required Rebate Application Inputs
-Output power rating of the motor for display case, in watts or hp. -Temperature of the display cases: freezer (low) and cooler (medium) temperature. -Existing motor type: SP or PSC motor.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—ECM on Display Case Evaporator Fans
Where:
ECMCaseSavings = Annual per motor kWh savings, direct and indirect combined, from motor replacement
= See Table 333
NumMotors = Number of motors replaced ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—ECM on Display Case Evaporator Fans
Where:
Annual kWh = Annual kWh savings from ECM on display case evaporator fans
= Calculated
CF = Peak Coincidence Factor = See Table 334
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ALGORITHM VARIABLES:
Table 333. Annual Per ECM Motor kWh Savings
SP to ECM PSC to ECM
Motor Output [Watts]
Cooler Annual kWh Savings
[kWh/motor/yr]
Freezer Annual kWh Savings
[kWh/motor/yr]
Cooler Annual kWh Savings
[kWh/motor/yr]
Freezer Annual kWh Savings
[kWh/motor/yr]
1-14 439.3 491.3 100.5 112.3
16-23 764.9 855.4 217.7 243.4
1/20 hp (~37 Watts)
1,042.0 1,165.3 413.0 461.9
Table 334. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 335. ECM on Display Case Evaporator Fans Algorithm Sources
Algorithm Inputs Algorithm Sources
NumMotors Entered from application form.
Table 333. Annual Per ECM
Motor kWh Savings RTF UES Measures and Supporting Documentation: Grocery—ECMs for Display Cases v.2.2.
Table 334. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: High-Efficiency Evaporator Fan Walk-Ins
Measure Description ECMs are installed on walk-in evaporator fans in place of SP or PSC motors. Savings are captured by direct savings from reduction in evaporator fan power and indirect savings from refrigeration systems.
Fuel Electric
End Use Refrigeration
Baseline Equipment SP or PSC motor.
Efficiency Qualification The new ECM must be more efficient than the previously existing SP or PSC motor.
Required Rebate Application Inputs
-Output power rating of the motor for display case, in watts or hp. -Temperature of the walk-in: freezer (low) and cooler (medium) temperature. -Existing motor type: SP or PSC motor.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Commercial
Program Commercial Prescriptive Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High-Efficiency Evaporator Fan Walk-Ins
Where:
ECMCaseSavings = Annual per motor kWh savings, direct and indirect combined, from motor replacement
= See Table 336
NumMotors = Number of motors replaced ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Efficiency Evaporator Fan Walk-Ins
Where:
Annual kWh = Annual kWh savings from ECM walk-ins = Calculated CF = Peak Coincidence Factor = See Table 337
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ALGORITHM VARIABLES:
Table 336. Annual Per Motor kWh Savings
SP to ECM PSC to ECM
Motor Output [Watts]
Cooler Annual kWh Savings
[kWh/motor/yr]
Freezer Annual kWh Savings
[kWh/motor/yr]
Cooler Annual kWh Savings
[kWh/motor/yr]
Freezer Annual kWh Savings
[kWh/motor/yr]
1/40 hp (16-23 watts)
660.5 790.4 188.7 225.8
1/20 hp (~37 watts)
901.7 1078.9 356.5 426.6
1/15 hp (~49 watts)
1,216.2 1,455.3 471.8 564.6
Table 337. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 338. High-Efficiency Evaporator Fan Walk-Ins Algorithm Sources
Algorithm Inputs Algorithm Sources
NumMotors Entered from application form.
Table 336. Annual Per Motor kWh Savings
Engineering calculation based on: RTF as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Display Case ECM, FY2010, V2. Accessed from RTF website on July 30, 2010: http://www.nwcouncil.org/rtf/measures/Default.asp
Table 337. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Walk-In Evaporator Fan Controller
Measure Description
Installing an evaporator fan controller to a walk-in fan motor allows operations at variable speeds. With a controller installed, an evaporator fan operates at full speed or low speed; in-low speed operation, energy use is reduced.
Fuel Electric
End Use Refrigeration
Baseline Equipment Evaporator fan without a controller installed to allow variable fan speeds.
Efficiency Qualification -Must install an evaporator fan controller that allows variable fan speeds (variable set points) on a walk-in fan motor. -Fan motor should be either SP or ECM.
Required Rebate Application Inputs
-Motor type (SP or ECM). -Motor power rating (in hp or watts); if not known, use default. -Refrigerator temperature: freezer (low) and cooler (medium) temperature. -Number of units.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Walk-In Evaporator Fan Controller
Where: FanControllerSavings = kWh savings per-fan controller installation = See Table 339
NumMotors = Number of motors ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Walk-In Evaporator Fan Controller
Where:
Annual kWh = Annual kWh savings from a walk-in evaporator fan controller = Calculated CF = Peak Coincidence Factor = See Table 340
ALGORITHM VARIABLES:
Table 339. Annual kWh Savings per Fan Controller
Motor Type Motor Output [Watts] Walk-In Temperature Energy Savings [kWh]
ECM 1/10-1/20 hp (37.3-74.6 W) Medium 194
ECM 1/10-1/20 hp (37.3-74.6 W) Low 131
ECM 1/40 hp (16-23 watts) Medium 76
ECM 1/40 hp (16-23 watts) Low 51
SP 1/10-1/20 hp (37.3-74.6 W) Medium 484
SP 1/10-1/20 hp (37.3-74.6 W) Low 326
SP 1/40 hp (16-23 watts) Medium 190
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Motor Type Motor Output [Watts] Walk-In Temperature Energy Savings [kWh]
SP 1/40 hp (16-23 watts) Low 128
ECM Default Medium 135
ECM Default Low 91
SP Default Medium 337
SP Default Low 227
Table 340. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 341. Walk-In Evaporator Fan Controller Algorithm Sources
Algorithm Inputs Algorithm Sources
NumMotors Entered from application form.
Table 339. Annual kWh Savings per Fan Controller
Regional Technical Forum- Commercial: Grocery—Walk-In Evaporator Fan ECM Motor Controllers (http://rtf.nwcouncil.org/measures/measure.asp?id=111); Commercial: Grocery—Walk-In Evaporator Fan Shaded-Pole Motor Controllers (http://rtf.nwcouncil.org/measures/measure.asp?id=169)
Table 340. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Glass Door Refrigerator/Freezer
Measure Description Replacement of a federal-standard, commercial-size, glass door refrigerator/freezer with an ENERGY STAR glass door refrigerator/freezer.
Fuel Electric
End Use Refrigeration
Baseline Equipment Federal-standard, commercial-size, glass door refrigerator/freezer.
Efficiency Qualification ENERGY STAR-qualified glass door refrigerator/freezer.
Required Rebate Application Inputs
-Equipment size, in cubic feet. -Model number to confirm ENERGY STAR.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Glass Door Refrigerator/Freezer
Where:
Volume = Equipment size, in cubic feet C1 = Constant 1 = See Table 342 C2 = Constant 2 = See Table 342
365 = Number of days in a year = 365 Unit = Number of units
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Glass Door Refrigerator/Freezer
Where:
Annual kWh = Annual kWh savings from ENERGY STAR glass door refrigerator/freezer
= Calculated
CF = Peak Coincidence Factor = See Table 343 ALGORITHM VARIABLES:
Table 342. Constants Used for kWh Savings Calculation for ENERGY STAR Glass Door Refrigerators/Freezers
Equipment Type Equipment Size [Cu. Ft.] C1 C2
Glass Door Refrigerator
15<Volume≤30 0.1180 1.3820
30<Volume≤50 -0.0200 2.2900
50<Volume 0.0320 0.7150
Glass Door Freezer
0<Volume≤15 0.0100 1.8400
15<Volume≤30 0.1430 3.2070
30<Volume≤50 0.0170 5.1000
50<Volume 0.5000 -9.4000
( Volume+ )
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Table 343. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 344. ENERGY STAR Glass Door Refrigerator/Freezer Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 342. Constants Used for kWh Savings Calculation for ENERGY STAR Glass Door Refrigerators/Freezers
Derived by taking the difference between the equivalent constants used for federal standards and for ENERGY STAR qualifications: Federal standard—Title 10 Part 431—Energy Efficiency Program for Certain Commercial and Industrial Equipment; Section 431.66; and ENERGY STAR Efficiency Criteria for Commercial Glass Door Refrigerators & Freezers: http://www.energystar.gov/index.cfm?c=commer_refrig.pr_crit_commercial_refrigerators
Table 343. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Night Covers for Display Cases
Measure Description Installation of retractable aluminum woven fabric covers for open-type refrigerated display cases, with covers deployed during facility unoccupied hours.
Fuel Electric
End Use Refrigeration
Baseline Equipment Open-type refrigerated display case without night covers installed.
Efficiency Qualification ENERGY STAR-qualified glass door refrigerator/freezer.
Required Rebate Application Inputs
-Width of the opening (of the display case) that the night covers cover, in ft. -Hours that night covers are in use. -Temperature of the display cases (low, medium, and high temperature).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Night Covers for Display Cases
Where:
LinearFeet = Width of the opening protected by night cover, in feet SavingsRate = Kilowatts savings from installing a night cover per display case
temperature = See Table 345
HoursDay = Number of hours per day that the night covers are in use = 6* 365 = Number of days in a year = 365
*Use default value only if actual value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Night Covers for Display Cases
Where:
Annual kWh = Annual kWh savings from night covers for display cases = Calculated CF = Peak Coincidence Factor = See Table 346
ALGORITHM VARIABLES:
Table 345. Savings Rate per Foot for Night Covers for Display Cases
Display Case Temperature [°F] Savings Rate [kW/ft]
Low (-35 to -5) 0.03
Medium (0 to 30) 0.02
High (35 to 55) 0.01
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Table 346. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 347. Night Covers for Display Cases Algorithm Sources
Algorithm Inputs Algorithm Sources
LinearFeet Entered from application form.
HoursDay
Entered from application form; default value of 6 hours per day/2,190 hours per year, obtained by assuming 18-hour of uncovered operation of display case, based on a scenario from: Effects of Low-E Shields on the Performance and Power Use of a Refrigerated Display Case: http://www.econofrost.com/acrobat/ashrae_document.pdf
Table 345. Savings Rate per Foot for Night Covers for Display Cases
Rhode Island Technical Reference Manual for Estimating Savings from Energy Efficiency Measures; PY2013; page A-9, references Effects of Low-E Shields on the Performance and Power Use of a Refrigerated Display Case: http://www.econofrost.com/acrobat/ashrae_document.pdf
Table 346. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Scroll Compressor
Measure Description Replacing an old reciprocating compressor with an equivalent scroll compressor reduces compressor energy consumption.
Fuel Electric
End Use Refrigeration
Baseline Equipment Reciprocating compressor.
Efficiency Qualification Scroll compressor.
Required Rebate Application Inputs
-Compressor hp. -Number of units.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Scroll Compressor
Where:
HP = Rated horsepower of the unit = 3.5656* (1.5 to 10)
SF = Savings factor = 13% Hours = Annual hours of equipment operation = 5,840
365 = Days/year = 365 0.746 = Conversion factor from hp to kW = 0.746 Units = Number of units
*Use default value only if actual value is not available.
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Scroll Compressor
Where:
Annual kWh = Annual kWh savings from scroll compressor = Calculated CF = Peak Coincidence Factor = See Table 348
ALGORITHM VARIABLES:
Table 348. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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297
VARIABLE SOURCES:
Table 349. Scroll Compressor Algorithm Sources
Algorithm Inputs Algorithm Sources
HP
Entered from application form; default value corresponds to the weighted average of cooler/freezer compressor hps from "Energy Savings Potential and R&D Opportunities for Commercial Refrigeration Final Report, 2009": http://apps1.eere.energy.gov/buildings/publications/pdfs/corporate/commercial_refrig_report_10-09.pdf
SF
Average of a of savings based on "Energy-Saving Incentives for High-Efficiency Scroll Compressors in Walk-In Coolers": http://www.emersonclimate.com/asia/en-AP/WhitePapers/2006CC-165_Std.pdf "Energy Analysis of Various Supermarket Refrigeration Systems, 2006": http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1855&context=iracc
Hours
Estimated from case studies: "Energy-Saving Incentives for High-Efficiency Scroll Compressors in Walk-In Coolers": http://www.emersonclimate.com/asia/en-AP/WhitePapers/2006CC-165_Std.pdf "Energy Savings Potential and R&D Opportunities for Commercial Refrigeration Final Report, 2009": http://apps1.eere.energy.gov/buildings/publications/pdfs/corporate/commercial_refrig_report_10-09.pdf
Table 348. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: ENERGY STAR Solid Door Refrigerator/Freezer
Measure Description Replacement of a federal-standard, commercial-size solid door refrigerator/freezer with an ENERGY STAR solid door refrigerator/freezer.
Fuel Electric
End Use Refrigeration
Baseline Equipment Federal standard commercial-size solid door refrigerator/freezer.
Efficiency Qualification ENERGY STAR-qualified solid door refrigerator/freezer.
Required Rebate Application Inputs
-Equipment size, in cubic feet. -Model number to confirm ENERGY STAR.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Solid Door Refrigerator/Freezer
Where:
Volume = Equipment size, in cubic feet C1 = Constant 1 = See Table 350 C2 = Constant 2 = See Table 350
365 = Number of days in a year = 365 Unit = Number of units
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Solid Door Refrigerator/Freezer
Where:
Annual kWh = Annual kWh savings from ENERGY STAR solid door refrigerator/freezer
= Calculated
CF = Peak Coincidence Factor = See Table 351 ALGORITHM VARIABLES:
Table 350. Constants Used for kWh Savings Calculation for ENERGY STAR Solid Door Refrigerators/Freezers
Equipment Type Equipment Size [Cu. Ft.] C1 C2
Solid Door Refrigerator
15<Volume≤30 0.0630 -0.1600
30<Volume≤50 0.0440 0.4050
50<Volume 0.0400 0.6240
Solid Door Freezer
0<Volume≤15 0.1500 0.1300
15<Volume≤30 0.0000 2.3800
30<Volume≤50 0.2370 -4.7450
50<Volume 0.2420 -4.9530
( Volume+ )
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Table 351. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 352. ENERGY STAR Solid Door Refrigerator/Freezer Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 350. Constants Used for kWh Savings Calculation for ENERGY STAR Solid Door Refrigerators/Freezers
Derived by taking the difference between the equivalent constants used for federal standards and for ENERGY STAR qualifications: Federal standard—Title 10 Part 431—Energy Efficiency Program for Certain Commercial and Industrial Equipment; Section 431.66 ; ENERGY STAR Efficiency Criteria for Commercial Solid Door Refrigerators & Freezers: http://www.energystar.gov/index.cfm?c=commer_refrig.pr_crit_commercial_refrigerators
Table 351. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Strip Curtains for Walk-Ins
Measure Description Installation of strip curtains on walk-in cooler/freezer doorways.
Fuel Electric
End Use Refrigeration
Baseline Equipment Walk-in cooler/freezer doorways where a strip curtain did not previously exist.
Efficiency Qualification The effectiveness against infiltration must be increased by installing the measure.
Required Rebate Application Inputs
-Area covered by strip curtain. -Type of walk-in equipment: cooler (medium temperature) or freezer (low temperature).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Strip Curtains for Walk-Ins
Where: StripCurtainSavings = Annual per square foot kWh savings from installing strip
curtains = See Table 353
SqFt = Area covered by strip curtain, in ft2
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Strip Curtains for Walk-Ins
Where:
Annual kWh = Annual kWh savings from strip curtains = Calculated CF = Peak Coincidence Factor = See Table 354
ALGORITHM VARIABLES:
Table 353. kWh Savings from Strip Curtains for Walk-In Coolers/Freezers
Walk-In Type Strip Curtain Savings [kWh/yr/ft2]
Cooler (Med Temp) 24.7
Freezer (Low Temp) 134.5
Table 354. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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VARIABLE SOURCES:
Table 355. Strip Curtains for Walk-Ins Algorithm Sources
Algorithm Inputs Algorithm Sources
SqFt Entered from application form.
Table 353. kWh Savings from Strip Curtains for Walk-In Coolers/Freezers
RTF Summary of Methodology and Sources for Unit Energy Savings Estimate; Restaurant Cooling Load Calculations.
Table 354. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Refrigeration: Vending Machine Controller
Measure Description
Vending machine controllers use infrared sensors to monitor traffic patterns in the vending machine's vicinity. When the sensor is not activated for a pre-set time, the controller either cuts power to the vending machine or operates the evaporator fans and compressor in a low-power mode.
Fuel Electric
End Use Controls
Baseline Equipment Existing refrigerated vending machines with no controller.
Efficiency Qualification -"Vending Mi$er™ or comparable brand. -For indoor machines that dispense non-perishable cold beverages only. -Direct-install.
Required Rebate Application Inputs
-Number of existing units with a controller installed.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Vending Machine Controller
Where: VendingControlSavings = Vending controller savings = 1,385
Nunit = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Vending Machine Controller
Where:
Annual kWh = Annual kWh savings from vending machine = Calculated CF = Peak Coincidence Factor = See Table 356
ALGORITHM VARIABLES:
Table 356. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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VARIABLE SOURCES:
Table 357. Vending Machine Controller Algorithm Sources
Algorithm Inputs Algorithm Sources
VendingControlSavings
Average of sources: Tuffs, BPA, and ACEEE: Tuffs: http://sustainability.tufts.edu/downloads/VendingMiserHandout-updated020310.pdf http://sustainability.tufts.edu/?pid=39 BPA: http://www.wapa.gov/es/pubs/teleworkshop/documents/BPA_VM_pgm_desc.pdf ACEEE: http://www.aceee.org/ogeece/ch5_vendors.htm
Nunit Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Refrigeration: Vending Machine
Measure Description
ENERGY STAR-qualified new and rebuilt vending machines incorporate more efficient compressors, fan motors, and lighting systems as well as a low power mode option that allows the machine to be placed in low-energy lighting and/or low-energy refrigeration states during times of inactivity.
Fuel Electric
End Use Refrigeration
Baseline Equipment Standard vending machine.
Efficiency Qualification ENERGY STAR-qualified vending machine.
Required Rebate Application Inputs
-ENERGY STAR model number. -Volume of the unit. -Daily energy consumption in kWh/day. -Number of units. -Door type.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—ENERGY STAR Vending Machine
Class A (Glass Front): Class B (Closed Front):
*Model number from application form will provide the connection to the desired volume value and class type (from door type it is assumed “Glass Front” = Class A, “Closed Front” = Class B)
Where: MDEC = Maximum daily energy consumption (kWh/day) = Calculated
V = Refrigerated volume, in cubic feet = 24.44* ESdaily = Daily energy consumption (kWh/day) of the ENERGY STAR
vending machines = 3.68*
365 = Days/year = 365 Nunits = Number of units
*Use default value only if actual value is not available.
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—ENERGY STAR Vending Machine
Where:
Annual kWh = Annual kWh savings from ENERGY STAR vending machine = Calculated CF = Peak Coincidence Factor = See Table 358
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ALGORITHM VARIABLES:
Table 358. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
VARIABLE SOURCES:
Table 359. ENERGY STAR Vending Machine Algorithm Sources
Algorithm Inputs Algorithm Sources
V
Entered from application form; default value corresponds to average ENERGY STAR product list data as of September, 2013: http://www.energystar.gov/index.cfm?fuseaction=find_a_product.showProductGroup&pgw_code=VMC
ESdaily
Entered from application form; default value corresponds to average ENERGY STAR product list data as of September, 2013: http://www.energystar.gov/index.cfm?fuseaction=find_a_product.showProductGroup&pgw_code=VMC
Table 358. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Foundation/Basement Wall Insulation
Measure Description Foundation/basement/rim Joists wall insulation slows the transfer of heat, and reduces heating in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment An inadequately insulated foundation/basement wall (R-value of 3.0) in addition to the bare wall (with the construction R-value of 3.0) itself.
Efficiency Qualification -Foundation/basement/rim joists insulation wall Insulation, minimum R-value of 10.0 (or max fill). -Business assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Foundation/basement/rim joists insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Foundation/Basement Wall Insulation—Electric Resistance Space Heating
Where: Sqft = Square footage of foundation/basement wall area
HDD = Below-ground heating degree days = 4,178 24 = Number of hours in a day = 24
3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial foundation/basement wall insulation = 10.0
RConstruction = R-value of bare construction foundation/basement wall = 3.0 RFinal = R-value of new foundation/basement wall insulation = (10 to 40)
Electric Savings kWh—Foundation/Basement Wall Insulation—Heat Pump System
Where: COPBase = Coefficient of Performance of heat pump system = 3.3
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Natural Gas Savings Therms—Foundation/Basement Wall Insulation—Gas Boiler/Furnace Space Heating
Where: AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82%
Furnace: 78% 100,000 = Conversion factor from Btu to therms
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Foundation/Basement Wall Insulation—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from foundation/basement wall
insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 360 Electric Demand Savings Peak kW—Foundation/Basement Wall Insulation—Heat Pump
Electric Demand Heating Savings Peak kW—Foundation/Basement Wall Insulation—Electric Resistance Space Heating
ALGORITHM VARIABLES:
Table 360. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Boiler (Gas)
0.01083404 0.01149222 0.00980814 0.01184344 - - 0.01163881
Space Heat Furnace (Gas)
0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
Heat Pump (Electric)
0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
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VARIABLE SOURCES:
Table 361. Foundation/Basement Wall Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDDGround
Ground HDD adjustment factor calculation based on HDD, winter ground temperature, and weather bin data. Based on ground temperature of 53 degrees. (ASHRAE HVAC Applications pg. 34.17) Weather bin data and HDD obtained from TMY3 Weather Data for the weather station Des Moines International Airport. Ground temperature at 4-ft. depth is assumed to have a temperature of 5 degrees below the temperature of the surface based on: Figure 4, http://www.geo4va.vt.edu/A1/A1.htm
RInitial The initial R-value for a foundation or basement wall assumes zero or minimal existing insulation, or that it has fallen down, resulting in an R-value equivalent to building materials with only a small contribution of installed R-value (assume R-3).
RConstruction
Inferred from the 2011 assessment and the PA TRM 2013. The initial R-value for a wall assumes zero or minimal existing insulation, or that it has fallen down, resulting in an R-value equivalent to building materials with only a small contribution of installed R-value (R-4.5). The construction materials (roughly R-3) and their thickness, based on building simulation modeling using DOE-2.2 model (eQuest), inferred from the PA TRM. The baseline R-value resulting assumption is R-7.5.
RFinal Entered from application form.
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 360. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Infiltration Control
Measure Description Sealing air leaks in windows, doors, roof, crawlspaces, and outside walls decreases overall heating and cooling losses.
Fuel Electric
End Use HVAC: Insulation
Baseline Equipment Buildings with inadequate infiltration control.
Efficiency Qualification Building floor area must be 25,000 ft2 or less.
Required Rebate Application Inputs
-Building size (floor area in ft2).
-HVAC system equipment.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Infiltration Control
Where:
SavingsPerUnit = Annual kWh/therms savings per ft2 = See Table 362Table 1
Sqft = Building floor area, in ft2 = (100 to 25,000) ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Infiltration Control
Where:
Annual kWh = Annual kWh savings from infiltration control = Calculated Annual Therms = Annual therms savings from infiltration control = Calculated
CF = Peak Coincidence Factor = See Table 363
ALGORITHM VARIABLES:
Table 362. Annual Savings per Square Foot Depending on HVAC System Type
End Use HVAC System SavingsPerUnit Units
Space Heat Furnace Gas Furnace 0.031 Therms/ft2/unit/yr
Space Heat Boiler Gas Boiler 0.031 Therms/ft2/unit/yr
Space Heat Electric Resistance/Furnace 0.583 kWh/ft2/unit/yr
Heat Pump Heat Pump 0.459 kWh/ft2/unit/yr
Heat Pump—Cooling Heat Pump 0.082 kWh/ft2/unit/yr
Heat Pump—Heating Heat Pump 0.377 kWh/ft2/unit/yr
Cooling DX Rooftop DX 0.082 kWh/ft2/unit/yr
Cooling Chillers Chiller 0.054 kWh/ft2/unit/yr
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Table 363. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Furnace
0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
Space Heat Boiler
0.01083404 0.01149222 0.00980814 0.01184344 - - 0.01163881
VARIABLE SOURCES:
Table 364. Infiltration Control Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
Table 362. Annual Savings per Square Foot Depending on HVAC System Type
Unit energy savings based on eQUEST models, resulting in percent savings by end use, based on the NIST 2001—Studies: National Institute of Standards and Technology 2005: http://www.infiltec.com/PAPER2005042_Emmerich_AIVC_energy.pdf
Table 363. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Insulated Doors
Measure Description Composite, steel, and thermal doors with a foam core increase overall insulation, slowing heat loss.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment Doors with inadequate insulation (R-value of 1.43).
Efficiency Qualification -Tier 1: Doors: Minimum R-value of 2.86 (U-value = 0.35). -Tier 2: Doors: Minimum R-value of 10 (U-value = 0.10). -Opaque swinging doors (less than 50% glass area).
Required Rebate Application Inputs
-Door insulation value (in R-value or U-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Insulated Doors—Electric Resistance Space Heating
Where: Sqft = Square footage of door area
HDD = Heating degree days at 65°F = 6,595 24 = Number of hours in a day = 24
3,412 = Conversion factor from Btu to kWh = 3,412 RBase = R-value of baseline door = 1.43
REff = R-value of new efficient insulated door = (2.86 to 25) Electric Cooling Savings kWh—Insulated Doors—Cooling System
Where: CDD = Cooling degree days at 65°F = 1,289
EERBase = Energy Efficiency Ratio of heat pump system = 11.0 1,000 = Conversion factor from Watts to kW = 1,000
Electric Savings kWh—Insulated Doors—Heat Pump System
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Where: COPBase = Coefficient of Performance of heat pump system = 3.3
Natural Gas Savings Therms—Insulated Doors—Gas Boiler/Furnace Space Heating
Where: AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82%
Furnace: 78% 100,000 = Conversion factor from Btu to therms
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Insulated Doors—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from insulated doors = Calculated
CF = Peak Gas Coincidence Factor = See Table 365 Electric Demand Savings Peak kW—Insulated Doors—Cooling System
Where: Annual Therms = Annual kWh savings from insulated doors = Calculated
CF = Peak Electric Coincidence Factor = See Table 365 Electric Demand Heating Savings Peak kW—Insulated Doors—Electric Resistance Space Heating
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ALGORITHM VARIABLES:
Table 365. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Boiler (Gas)
0.01083404 0.01149222 0.00980814 0.01184344 - - 0.01163881
Space Heat Furnace (Gas)
0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
Heat Pump (Electric)
0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Cooling DX (Electric)
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
VARIABLE SOURCES:
Table 366. Insulated Doors Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDD TMY3 Weather Data for the weather station Des Moines International Airport.
CDD TMY3 Weather Data for the weather station Des Moines International Airport.
RBase State code—IECC 2009 Table 502.2(1); assumed Zone 5 for all applications; use 2009 code until 2012 is enacted.
REff Entered from application form.
EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 365. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Roof Insulation
Measure Description Roof insulation slows the transfer of heat, and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment A roof that is inadequately insulated (R-value of 10.0) in addition to the bare roof (with the construction R-value of 3.0) itself.
Efficiency Qualification -Roof insulation minimum R-value of 20 or max fill. -Business assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Roof insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Roof Insulation—Electric Resistance Space Heating
Where: Sqft = Square footage of roof area
HDD = Heating degree days at 65°F = 6,595 24 = Number of hours in a day = 24
3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial roof insulation = 10.0
RConstruction = R-value of bare construction roof = 3.0 RFinal = R-value of new roof insulation = (20 to 65)
Electric Cooling Savings kWh—Roof Insulation—Cooling System
Where: CDD = Cooling degree days at 65°F = 1,289
EERBase = Energy Efficiency Ratio of heat pump system = 11.0 1,000 = Conversion factor from Watts to kW = 1,000
Electric Savings kWh—Roof Insulation—Heat Pump System
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Where: COPBase = Coefficient of Performance of heat pump system = 3.3
Natural Gas Savings Therms—Roof Insulation—Gas Boiler/Furnace Space Heating
Where: AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82%
Furnace: 78% 100,000 = Conversion factor from Btu to therms
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Roof Insulation—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from roof insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 367 Electric Demand Savings Peak kW—Roof Insulation—Heat Pump/Cooling System
Where: Annual Therms = Annual kWh savings from roof insulation = Calculated
CF = Peak Electric Coincidence Factor = See Table 367 Electric Demand Heating Savings Peak kW—Roof Insulation—Electric Resistance Space Heating
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ALGORITHM VARIABLES:
Table 367. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Boiler (Gas)
0.01083404 0.01149222 0.00980814 0.01184344 - - 0.01163881
Space Heat Furnace (Gas)
0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
Heat Pump (Electric)
0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Cooling DX (Electric)
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
VARIABLE SOURCES:
Table 368. Roof Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDD TMY3 Weather Data for the weather station Des Moines International Airport.
CDD TMY3 Weather Data for the weather station Des Moines International Airport.
RInitial From the 2011 assessment and the PA TRM 2013. The initial R-value for a roof assumes an 10.0 R-value. The construction materials (roughly R-3), using wall materials as a proxy and inferred from the PA TRM. The baseline R-value resulting assumption is R-13.0.
RConstruction
RFinal Entered from application form.
EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 367. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Shell: Wall Insulation
Measure Description Wall insulation slows the transfer of heat, and reduces heating and cooling loads in buildings.
Fuel Electric/Gas
End Use HVAC: Insulation
Baseline Equipment A wall that is inadequately insulated (R-value of 4.5) in addition to the bare wall (with the construction R-value of 3.0) itself.
Efficiency Qualification -Wall insulation minimum R-value of 13.0 or max fill. -Business assessment or pre-installation assessment required.
Required Rebate Application Inputs
-Wall insulation value (in R-value). -Heating system type (natural gas boiler, natural gas furnace, heat pump, electric resistance). -Cooling system type (CAC, heat pump, none).
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Heating Savings kWh—Wall Insulation—Electric Resistance Space Heating
Where: Sqft = Square footage of wall area
HDD = Heating degree days at 65°F = 6,595 24 = Number of hours in a day = 24
3,412 = Conversion factor from Btu to kWh = 3,412 RInitial = R-value of initial wall insulation = 4.5
RConstruction = R-value of bare construction wall = 3.0 RFinal = R-value of new wall insulation = (10 to 40)
Electric Cooling Savings kWh—Wall Insulation—Cooling System
Where: CDD = Cooling degree days at 65°F = 1,289
EERBase = Energy Efficiency Ratio of heat pump system = 11.0 1,000 = Conversion factor from Watts to kW = 1,000
Electric Savings kWh—Wall Insulation—Heat Pump System
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Where: COPBase = Coefficient of Performance of heat pump system = 3.3
Natural Gas Savings Therms—Wall Insulation—Gas Boiler/Furnace Space Heating
Where: AFUEBase = Annual Fuel Utilization Efficiency of baseline efficiency system = Boiler: 82%
Furnace: 78% 100,000 = Conversion factor from Btu to therms
ANNUAL ENERGY DEMAND ALGORITHM: Natural Gas Demand Savings Peak Therms—Wall Insulation—Gas Boiler/Furnace Space Heating
Where: Annual Therms = Annual therms savings from wall insulation = Calculated
CF = Peak Gas Coincidence Factor = See Table 369 Electric Demand Savings Peak kW—Wall Insulation—Heat Pump/Cooling System
Where: Annual Therms = Annual kWh savings from wall insulation = Calculated
CF = Peak Electric Coincidence Factor = See Table 369 Electric Demand Heating Savings Peak kW—Wall Insulation—Electric Resistance Space Heating
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ALGORITHM VARIABLES:
Table 369. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Space Heat Boiler (Gas)
0.01083404 0.01149222 0.00980814 0.01184344 - - 0.01163881
Space Heat Furnace (Gas)
0.01083404 0.00995413 0.00654527 0.01144178 - - 0.00883527
Heat Pump (Electric)
0.00016505 0.00016509 0.00016423 0.00014486 0.00013081 0.00013081 0.00015943
Cooling DX (Electric)
0.00035993 0.00072962 0.00066279 0.00051390 0.00013081 0.00013081 0.00053998
VARIABLE SOURCES:
Table 370. Wall Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
Sqft Entered from application form.
HDD TMY3 Weather Data for the weather station Des Moines International Airport.
CDD TMY3 Weather Data for the weather station Des Moines International Airport.
RInitial From the 2011 assessment and the PA TRM 2013. The initial R-value for a wall assumes zero or minimal existing insulation, or that it has fallen down, resulting in an R-value equivalent to building materials with only a small contribution of installed R-value (R-4.5). The construction materials (roughly R-3) and their thickness based on building simulation modeling using DOE-2.2 model (eQuest), inferred from the PA TRM. The baseline R-value resulting assumption is R-7.5.
RConstruction
RFinal Entered from application form.
EERBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
COPBase Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
AFUEBase Code of Federal Regulations, 10 CFR 430.32(c)(1).
Table 369. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Condensing Water Heater
Measure Description
A high-efficiency water heater reduces losses during operation and during standby, therefore proving more efficient than a standard gas water heater. A condensing water heater increases the thermal efficiency by removing the latent heat from the flue gasses.
Fuel Gas
End Use Water Heat
Baseline Equipment Standard gas water heater; baseline assumes >75,000 Btuh heating capacity and TE = 0.8.
Efficiency Qualification Thermal Efficiency (TE) must be 90% or greater condensing water heater.
Required Rebate Application Inputs
-Capacity (gallons). -TE of condensing water heater. -Rated input power of condensing water heater. -Rated standby losses of condensing water heater.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Gas Savings Therms—Gas Condensing Water Heater
Where:
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature ground water entering hot water heater in °F = 56.5
TAmbient = Temperature of the ambient surroundings in °F = 65 100,000 = Conversion from Btu to Therms = 100,000
HotWaterPerGallon = Annual hot water usage per gallon of capacity of water heater, in gallons per gallon
= See Table 371
8.33 = Conversion from gallons of water to lbs of water in lbs/gal = 8.33 1 = Specific heat of water in Btu/lb°F = 1
CAP = Capacity of water heater in gallons = (40 to 130) TEEff = Thermal efficiency of condensing gas water heater = (0.90 to 0.99)
TEBase = Thermal efficiency of baseline gas water heater = 0.80
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InputPower = Input power capacity of water heater, rated input power in Btuh
800 = Standby loss performance constant as part of DOE's standby loss equation
= 800
110 = Standby loss performance constant as part of DOE's standby loss equation
= 110
70 = The nominal temperature different between stored water and ambient requirements as part of DOE's SL equation and test procedure
= 70
StandbyLoss = Standby loss in Btu/hr 24 = Number of hours in a day = 24
365 = Number of days in a year = 365 ANNUAL ENERGY DEMAND ALGORITHM: Gas Savings Peak Therms—Gas Condensing Water Heater
Where: Annual Heating Therms = Annual therms savings for condensing water heater = Calculated
CF = Peak Coincidence Factor = See Table 372 ALGORITHM VARIABLES:
Table 371. Annual Hot Water Usage per Gallon of Water Heater Capacity
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture All Commercial
803 630 433 594 558 558 558
Table 372. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat 0.00068510 0.00176813 0.00068952 0.00057778 – – 0.00068206
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VARIABLE SOURCES:
Table 373. Condensing Water Heater Algorithm Sources
Algorithm Inputs Algorithm Sources
TOut CPUC Residential Retrofit: High Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
TMains
Averaged monthly water main temperature, calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20: http://www.nrel.gov/docs/fy10osti/47246.pdf; water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines.
TAmbient Assume average indoor mechanical room temperature to be 65 degrees for commercial applications.
CAP Entered from application form or from AHRI product directory.
TEEff Entered from application form or from AHRI product directory.
InputPower Assume the baseline is the same as new water heater; from application form or from AHRI product directory.
880, 110, 70 (Standby loss performance constants)
DOE Standard 10 CFR 430.32(d).
Standbyloss Entered from application form or from AHRI product directory.
Table 371. Annual Hot Water Usage per Gallon of Water Heater Capacity
Annual hot water usage in gallons is based on CBECS (2003) consumption data of West North Central (removed outliers of 1,000 kBtuh or less) to calculate hot water usage. Annual hot water gallons per tank size gallons is based on the tank sizing methodology found in ASHRAE 2011 HVAC Applications, Chapter 50 Service Water Heating. Demand assumptions (gallons per day) for each building type based on ASHRAE Chapter 50 and to LBNL White Paper. LBL-37398 Technology Data Characterizing Water Heating in Commercial Buildings: Application to End Use Forecasting.
Table 372. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Desuperheater
Measure Description
A desuperheater captures waste heat from air and ground source heat pumps and uses it to heat the domestic hot water. Most savings are captured during summer, when the heat pump generates waste heat from the cooling process.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Heat pump water heater without a desuperheater installed.
Efficiency Qualification -Add-on desuperheater to air source heat pump. -Add-on desuperheater to ground source heat pump.
Required Rebate Application Inputs
Domestic hot water heater type (electric, gas storage). (If not available, assume electric storage.)
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Desuperheater—Electric/Gas Storage Water Heater
Where:
Annual kWhPerUnit = Annual kWh savings per desuperheater installation = See Table 374 Annual ThermsPerUnit = Annual therms savings per desuperheater installation = See Table 374
Unit = Number of rebated units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Savings Peak kW/Therms—Electric/Gas Condensing Water Heater
Where:
Annual kWh = Annual kWh savings from desuperheater = Calculated Annual Therms = Annual therms savings from desuperheater = Calculated
CF = Peak Coincidence Factor = See Table 375 ALGORITHM VARIABLES:
Table 374. Annual Savings Per Desuperheater Installation
Installation Date Capacity Annual kWhPerUnit Annual ThermsPerUnit
Before 1/1/16 ≥ 20 and ≤ 100 889.0 41.6
After 1/1/16 ≥ 20 and ≤ 55 860.1 40.2
After 1/1/16 > 55 and ≤ 100 829.2 66.9
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Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change due 4/16/2015 would be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions based on first of the year following the mid-year code change.
Table 375. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat 0.00068510 0.00176813 0.00068952 0.00057778 – – 0.00068206
VARIABLE SOURCES:
Table 376. Condensing Water Heater Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Table 374. Annual Savings Per Desuperheater Installation
Based on custom analysis; annual hot water usage in gallons are based on CBECS (2003) consumption data of West North Central (removed outliers of 1,000 kBtuh or less) to calculate hot water usage. Annual hot water gallons per tank size gallons are based on the tank sizing. Analysis of Air Conditioning Heat Recovery Units, LBNL-39383, Lawrence Berkeley National Laboratory; 10% cooling savings based on Chicago and adjusted based on CDD. Referenced in Builder Guide E3: Improve Energy Efficiency with Desuperheaters: http://stampededrive.net/PDF/BuilderGuide3E.pdf; IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change due 4/16/2015 would be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions are based on first of the year following the mid-year code change.
Table 375. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Drainwater Heat Recovery
Measure Description
Typically 80% to 90% of the energy used to heat water escapes as water goes down the drain. Drainwater (or greywater) heat recovery systems capture this energy to preheat cold water entering the building or going to other water fixtures. Drainwater heat recovery systems can reduce water heater energy consumption by approximately 15% to 30%.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment 40-gallon water heater with no drainwater heat recovery system.
Efficiency Qualification Installed drainwater heat recovery system must be either a Power-Pipe, GFX system, or similar product.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas). -Number of units rebated.
Market Opportunity Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Drainwater Heat Recovery
Where: Annual kWhUnitSavings = Annual kWh savings per drainwater heat recovery unit = 1,095
Annual ThermsUnitSavings = Annual therms savings per drainwater heat recovery unit = 49 Unit = Number of rebated units
ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Savings Peak kW/Therms—Drainwater Heat Recovery
Where:
Annual kWh = Annual kWh savings for drainwater heat recovery unit = Calculated Annual Therms = Annual therms savings for drainwater heat recovery unit = Calculated
CF = Peak Coincidence Factor = See Table 377
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ALGORITHM VARIABLES:
Table 377. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
VARIABLE SOURCES:
Table 378. Drainwater Heat Recovery Algorithm Sources
Algorithm Inputs Algorithm Sources
Unit Entered from application form.
Annual kWhUnitSavings Savings values inferred from the following: metering study found savings to from 25% to 30%. Assume 25% savings for this analysis and interpolated from graph of Figure 2. Heating contributions depend on inlet water temperatures (page 3) based on: Tomlinson, J. J. Letter to Marc LaFrance, Manager, Appliance and Emerging Technology Program, U.S. Department of Energy. Subject: GFX Evaluation. Oak Ridge, TN: Oak Ridge National Laboratory, accessed 07 November 2008: http://gfxtechnology.com/Duluth-Triplex.pdf With reference to "A Quantitative Study of the Viability of Greywater Heat Recovery (GWHR)," June 2011.
Annual ThermsUnitSavings
Table 377. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Water Heat: Water Heater
Measure Description
-A high-efficiency water heater experiences reduced standby losses and therefore proves more efficient than a standard gas water heater. -Tankless water heaters provide hot water at a preset temperature when needed and without storage, thereby reducing or eliminating standby losses. -A heat pump water heater moves heat from a warm reservoir (such as air), transferring this heat into the hot water system.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard gas/electric water heater.
Efficiency Qualification
-Qualified electric storage water heaters must be ≤ 12 kW. -Qualified gas water storage heaters must be ≤ 75,000 Btuh and ≥ 20 gallons. -Qualified gas water tankless heaters must be >75,000 Btuh and <200,000 Btuh; ≥ 4,000 Btuh/gallon and <2 gallons. -Gas water heater that is a storage water heater EF = 0.67. -Gas water heater that is a tankless water heater EF = 0.82. -Electric water heater that is a Heat Pump Water Heater EF = 2.0. -Storage tank water heaters must be 40 gallon minimum.
Required Rebate Application Inputs
-Capacity (gallons). -Efficiency (EF). -Installation date.
Market Opportunity Replacement on Burnout; Retrofit
Sector(s) Nonresidential
Program Nonresidential Prescriptive Rebates Program Water heater standard, DOE Standard 10 CFR 430.32(d), changes in 4/16/2015. IPL adopts mid-year code changes the first of
the year following the change (e.g., the water heater change due 4/16/2015 would be implemented by IPL programs and TREES
on 1/1/2016). All analysis and assumptions are based on first of the year following the mid-year code change.
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Heat Pump Water Heater
Where:
TOut = Temperature of hot water exiting water heater in °F = 126.5 TMains = Temperature of water entering hot water heater in °F = 56.5 3,412 = Conversion from Btu to kWh = 3,412
HotWaterPerGallon = Annual hot water usage per gallon of capacity of water heater, in gallons per gallon
= See Table 379
8.33 = Conversion from gallons of water to lbs of water in lbs/gal = 8.33 1 = Specific heat of water in Btu/lb°F = 1
CAP = Capacity of water heater in gallons EFBase = Energy Factor of baseline water heater based on capacity = Calculated
Ce1 = Constant used to calculate electric baseline energy factor = See Table 380
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Ce2 = Constant used to calculate electric baseline energy factor = See Table 380 EFEff = Energy Factor of efficient water heater = (2 to 2.5)
Gas Savings Therms—Gas Storage Water Heater
Where: Nppl = Number of people with gas water heating = See Table 380
100,000 = Conversion Factor from Btu to Therms = 100,000 Cg2 = Constant used to calculate gas baseline energy factor = See Table 380 Cg2 = Constant used to calculate gas baseline energy factor = See Table 380
EFEff = Energy Factor of efficient gas water heater = (0.82 to 0.98) Gas Savings Therms—Gas Tankless Water Heater
Where:
40 = Assumed size of the equivalent storage water heater = 40
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Heat Pump Water Heater
Where:
CF = Peak Coincidence Factor = See Table 381 Gas Savings Peak Therms—Gas Storage and Tankless Water Heater
Where:
CF = Peak Coincidence Factor = See Table 381
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ALGORITHM VARIABLES:
Table 379. Annual Hot Water Usage Per Gallon of Water Heater Capacity
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
803 630 433 594 558 558 558
Table 380. Constants Used for Baseline EF Calculation
Installation Date Capacity Ce1 Ce2 Cg1 Cg2
Before 1/1/16 ≥ 40 and ≤ 120 0.97 0.00132 0.67 0.0019
After 1/1/16 ≥ 40 and ≤ 55 0.96 0.0003 0.675 0.0015
After 1/1/16 > 55 and ≤ 120 2.057 0.00113 0.8012 0.00078
Table 381. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
VARIABLE SOURCES:
Table 382. Water Heater Algorithm Sources
Algorithm Inputs Algorithm Sources
Tout CPUC Residential Retrofit: High-Impact Measure Evaluation Report Draft. Dec. 7, 2009. Pg. 76. Average temperature setpoints for two utilities.
Tmains
Averaged monthly water main temperature, calculated using the methodology provided in Building America Research Benchmark Definition, updated December 2009. Pg.19-20. http://www.nrel.gov/docs/fy10osti/47246.pdf; water main temperature represents the average of TMY3 data from all Class I stations located in Des Moines.
EFEff Entered from application form.
CAP Entered from application form.
40 (Tankless water heater equivalent capacity)
Baseline tank size for gas tankless water heater is assumed to be equivalent of 40 gallons.
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Algorithm Inputs Algorithm Sources
Table 379. Annual Hot Water Usage Per Gallon of Water Heater Capacity
Annual hot water usage in gallons based on CBECS (2003) consumption data of West North Central (removed outliers of 1,000 kBtuh or less) to calculate hot water usage. Annual hot water gallons per tank size gallons based on the tank sizing methodology found in ASHRAE 2011 HVAC Applications. Chapter 50 Service Water Heating. Demand assumptions (gallons per day) for each building type based on ASHRAE Chapter 50 and to LBNL White Paper. LBL-37398 Technology Data Characterizing Water Heating in Commercial Buildings: Application to End Use Forecasting.
Table 380. Constants Used for Baseline EF Calculation
DOE Standard 10 CFR 430.32(d). IPL storage tank water heaters must be 40-gallon minimum. IPL adopts mid-year code changes the first of the year following the change (e.g., the water heater change due 4/16/2015 would be implemented by IPL programs and TREES on 1/1/2016). All analysis and assumptions are based on first of the year following the mid-year code change. Installation date of the water heater (not manufactured date) is assumed and used for IPL programs and TREES.
Table 381. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Business Assessment Program Table 383. Building Assessment Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Nonresidential electric Nonresidential natural gas
Customer Status All All
Building Type Nonresidential Nonresidential
Building Vintage All All
Geography IPL’s Iowa service territory IPL’s Iowa service territory
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Direct-Install: CFLs
Measure Description Savings captured by installing CFLs that require less power than incandescent lamps.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent lamps compliant with EISA Standards, which take effect on 1/1/14.
Efficiency Qualification -Qualified CFLs. -Direct-install of 13- and 23-watt CFLs.
Required Rebate Application Inputs
-Efficient lamp quantity. -Hours of use or building type group.
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—CFLs
Where:
CFLSavings = Average annual unit energy savings from CFL replacement in kWh/unit/year
=
167
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—CFLs
Where:
Annual kWh = Annual kWh savings from CFL replacement = Calculated CF = Peak Coincidence Factor = See Table 384
ALGORITHM VARIABLES:
Table 384. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
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VARIABLE SOURCES:
Table 385. CFLs Algorithm Sources
Algorithm Inputs Algorithm Sources
CFLSavings CFL wattage from planned program products, based on a conversation with Jake Felton from CLEAResult, 9/20/2013.
Units Entered from application form.
Table 384. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Faucet Aerators
Measure Description
A faucet aerator can be attached to the faucet head to aerate the water stream while lowering the flow rate, without altering the perceived water pressure. This reduces hot water demand and energy required to heat water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard faucet without an aerator installed.
Efficiency Qualification -Direct-install.
Required Rebate Application Inputs
-Number of faucet aerators installed.
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Faucet Aerator
Where: SavingsPerUnit = Average annual unit energy savings from faucet aerator in
kWh/unit/year or therms/unit/year =
See Table 386
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Faucet Aerator
Where:
Annual kWh = Annual kWh savings from faucet aerator = Calculated Annual Therms = Annual therms savings from faucet aerator = Calculated
CF = Peak Coincidence Factor = See Table 387 ALGORITHM VARIABLES:
Table 386. Annual Savings From Faucet Aerator
SavingsPerUnit [kWh/unit/year] SavingsPerUnit [Therms/unit/year]
760 33.9
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Table 387. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 388. Faucet Aerator Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 386. Annual Savings From Faucet Aerator
Custom calculation using algorithm found in PA Technical Reference Manual 2013, Pg. 42.
Table 387. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: LED Exit Sign
Measure Description LED exit signs operate at low wattages and last over 50,000 hours, while CFL exit signs can use two to four times more power and have a shorter life.
Fuel Electric
End Use Lighting
Baseline Equipment Existing exit signs with CFLs installed.
Efficiency Qualification -Existing construction only. -Must replace incandescent or CFL exit signs. -Direct-install.
Required Rebate Application Inputs
-Number of units. -Replacement exit sign type (CFL or Incandescent). -Installed exit sign type (LED).
Market Opportunity Retofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Exit Sign
Where:
ExitSignSavings = Average annual unit energy savings from an LED exit sign in kWh/unit/year
= 214
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED Exit Sign
Where:
Annual kWh = Annual kWh savings from LED exit sign = Calculated CF = Peak Coincidence Factor = See Table 389
ALGORITHM VARIABLES:
Table 389. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Lighting 0.00015799 0.00014871 0.00023078 0.00019620 0.00013081 0.00013081 0.00020796
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VARIABLE SOURCES:
Table 390. LED Exit Sign Algorithm Sources
Algorithm Inputs Algorithm Sources
ExitSignSavings
Ratio of incandescent exit signs to all incandescent, fluorescent, and LED exit signs. Rensselaer Polytechnic Institute and Lighting Research Center estimated that 90% of eligible exit signs were incandescent (2005).
WI Focus on Energy, “Business Programs: Deemed Savings Manual V1.0,” Update: March 22, 2010. “LED Exit Sign."
2010 U.S. Lighting Market Characterization, January 2012: http://apps1.eere.energy.gov/buildings/publications/pdfs/ssl/2010-lmc-final-jan-2012.pdf
Units Entered from application form.
Table 389. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Low-Flow Showerhead
Measure Description A low-flow showerhead reduces the flow rate of the showerhead fixture, reducing hot water demand and consequently reducing energy required to heat water.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Standard faucet without an aerator installed.
Efficiency Qualification Direct-install.
Required Rebate Application Inputs
Number of low-flow showerheads installed.
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Low-Flow Showerhead
Where: SavingsPerUnit = Average annual unit energy savings from a low-flow
showerhead in kWh/unit/year or therms/unit/year =
See Table 391
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Low-Flow Showerhead
Where:
Annual kWh = Annual kWh savings from a low-flow showerhead = Calculated Annual Therms = Annual therms savings from a low-flow showerhead = Calculated
CF = Peak Coincidence Factor = See Table 392 ALGORITHM VARIABLES:
Table 391. Annual Savings From a Low-Flow Showerhead
SavingsPerUnit [kWh/unit/year] SavingsPerUnit [Therms/unit/year]
408 18
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Table 392. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 393. Low-Flow Showerhead Algorithm Sources
Algorithm Inputs Algorithm Sources
Units Entered from application form.
Table 391. Annual Savings From a Low-Flow Showerhead
Weighted average (for different building types) of custom calculation, based on algorithm found in PA Technical Reference Manual 2013, pg. 42.
Table 392. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Pre-Rinse Sprayer Valve
Measure Description Low-flow spray valves mix water and air to reduce amounts of water flowing through spray heads, creating a fine water spray through a screen inserted in the spray head.
Fuel Electric
End Use Water Heat
Baseline Equipment Standard flow-rate, pre-rinse sprayer valve.
Efficiency Qualification Direct-install.
Required Rebate Application Inputs
Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Pre-Rinse Sprayer Valve
Where:
PRSVSavings = Average annual unit energy savings from low-flow pre-rinse sprayer valves in kWh/unit/year or therms/unit/year
=
See Table 394
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Pre-Rinse Sprayer Valve
Where:
Annual kWh = Annual kWh savings from pre-rinse sprayer valve = Calculated Annual Therms = Annual therms savings from pre-rinse sprayer valve = Calculated
CF = Peak Coincidence Factor = See Table 395 ALGORITHM VARIABLES:
Table 394. Annual Savings From Pre-Rinse Sprayer Valve
PRSVSavings [kWh/unit/year] PRSVSavings [Therms/unit/year]
1,331 59
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Table 395. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Water Heat (Electric)
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Water Heat (Gas)
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
Table 396. Pre-Rinse Sprayer Valve Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 394. Annual Savings From Pre-Rinse Sprayer Valve
Water main data for Des Moines, based on NREL methodology. Average of metered data from five sources, all referenced in: RTF UES Measures and Supporting Documentation—Commercial: Cooking Equipment—Pre-Rinse Spray Valves Version 1.1: http://rtf.nwcouncil.org/measures/measure.asp?id=100
Units Entered from application form.
Table 395. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Programmable Thermostat
Measure Description A programmable thermostat controls setpoint temperatures automatically, ensuring HVAC systems do not run during low-occupancy hours.
Fuel Electric/Natural Gas
End Use HVAC Controls
Baseline Equipment A standard thermostat without a programmable feature
Efficiency Qualification Programmable thermostats for automatic control of temperature setpoints.
Required Rebate Application Inputs
Number of thermostats replaced.
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Programmable Thermostat
Where: Annual kWh = Total annual kWh savings per thermostat control = 620
Annual Therms = Total annual therms savings per thermostat control = 43 ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Programmable Thermostat
Where:
Peak kW = Peak kW savings per thermostat control = 0.2000 Peak Therms = Peak therms savings per thermostat control = 0.3994
VARIABLE SOURCES:
Table 397. Programmable Thermostat Algorithm Sources
Algorithm Inputs Algorithm Sources
Annual kWh Inferred from the 2011 Assessment of Potential. Unit energy savings based on percent savings assumptions from DEER and other assumptions; weighted average of kWh savings by commercial building type.
Annual Therms Inferred from the 2011 Assessment of Potential. Unit energy savings based on percent savings assumptions from DEER and other assumptions; weighted average of therms savings by commercial building type.
Peak kW Inferred from the 2011 Assessment of Potential. Unit energy savings based on percent savings assumptions from DEER and other assumptions; annual kWh multiplied by the weighted average of the Peak Electric Coincidence Factors of commercial building types.
Peak Therms Inferred from the 2011 Assessment of Potential. Unit energy savings based on percent savings assumptions from DEER and other assumptions; annual therms multiplied by the weighted average of the Peak Gas Coincidence Factors of commercial building types.
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Direct-Install: Vending Machine Controller
Measure Description
Vending machine controllers use infrared sensors to monitor traffic patterns in the vending machine's vicinity. When movement does not activate the sensor for a pre-set time, the controller cuts power to the vending machine or operates the evaporator fans and compressor in a low-power mode.
Fuel Electric
End Use Controls
Baseline Equipment Existing refrigerated vending machines with no controller.
Efficiency Qualification -"Vending Mi$er™ or comparable brand. -For indoor machines that dispense non-perishable cold beverages only. -Direct-install.
Required Rebate Application Inputs
Number of existing units with a controller installed.
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Vending Machine Controller
Where: VendingControlSavings = Vending controller savings = 1,385
Nunit = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Vending Machine Controller
Where:
Annual kWh = Annual kWh savings from vending machine = Calculated CF = Peak Coincidence Factor = See Table 398
ALGORITHM VARIABLES:
Table 398. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Refrigeration 0.00014802 0.00014802 0.00014802 0.00014802 0.00013081 0.00013081 0.00014802
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VARIABLE SOURCES:
Table 399. Vending Machine Controller Algorithm Sources
Algorithm Inputs Algorithm Sources
VendingControlSavings
Average of sources: ACEEE, BPA, and Tuffs Tuffs: 1. http://sustainability.tufts.edu/downloads/VendingMiserHandout-
updated020310.pdf 2. http://sustainability.tufts.edu/?pid=39 BPA: http://www.wapa.gov/es/pubs/teleworkshop/documents/BPA_VM_pgm_desc.pdf ACEEE: http://www.aceee.org/ogeece/ch5_vendors.htm
Nunit Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Direct-Install: Water Heater Pipe Insulation
Measure Description Water heater pipe insulation reduces heat loss from pipes, thereby increasing efficiency and reducing the amount of required heating energy.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater pipe insulation without insulation (bare pipe; below code).
Efficiency Qualification Insulation increases the R-Value from below code (bare pipe) to R-6.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Retrofit
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Pipe Insulation
Where: ElectricSavingsPerInstall = Annual kWh savings per 6 ft of pipe insulation = 61.18
GasSavingsPerInstall = Annual therms savings per 6 ft of pipe insulation = 2.73 ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms— Water Heater Pipe Insulation
Where:
CF = Peak Coincidence Factor = See Table 400
ALGORITHM VARIABLES:
Table 400. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Electric Water Heat
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Gas Water Heat
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
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Table 401. Water Heater Pipe Insulation Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerInstall Custom calculation using 3E Plus v4.0 to determine heat loss in water heater pipes, with reference to ASHRAE Fund 2009 Table 23.16 for copper heat loss tables. GasSavingsPerInstall
Table 400. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Direct-Install: Water Heater Temperature Setback
Measure Description A behavioral change of lowering water heater temperatures to 120 degrees. End uses realize savings when set temperatures are equal to or greater than the water heater thermostat set temperature.
Fuel Electric/Gas
End Use Water Heat
Baseline Equipment Water heater set temperature of 126.5 degrees.
Efficiency Qualification Water heater temperature should be turned down to 120 degrees.
Required Rebate Application Inputs
-Building type. -Water heat type (electric or gas).
Market Opportunity Behavioral Change
Sector(s) Commercial
Program Business Assessment Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric/Gas Savings kWh/Therms—Water Heater Temperature Setback
Where: ElectricSavingsPerInstall = Annual kWh savings from water heater temperature setback = 206
GasSavingsPerInstall = Annual therms savings from water heater temperature setback = 11 ANNUAL ENERGY DEMAND ALGORITHM: Electric/Gas Demand Savings Peak kW/Therms—Water Heater Temperature Setback
Where:
CF = Peak Coincidence Factor = See Table 402 ALGORITHM VARIABLES:
Table 402. Peak Coincidence Factor
End Use
Grocery, Convenience
Store, and Restaurant
Lodging, Hospital, and Multifamily
Health Clinic, Church,
Warehouse, and Other
Commercial
Education, Office, and
Retail Industrial Agriculture
All Commercial
Electric Water Heat
0.00013748 0.00013512 0.00024250 0.00022084 0.00013081 0.00013081 0.00020626
Gas Water Heat
0.00068510 0.00176813 0.00068952 0.00057778 - - 0.00068206
VARIABLE SOURCES:
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Table 403. Water Heater Temperature Setback Algorithm Sources
Algorithm Inputs Algorithm Sources
ElectricSavingsPerInstall Savings percent of values averaged from the following state TRMs and applied to a typical energy use of a water heater with a baseline set temperature of 126.5degrees: -Efficiency Vermont Technical Reference User Manual (TRM), pg.405: http://www.greenmountainpower.com/upload/photos/371371TRM_User_Manual_No_2013-82-5-protected.pdf -Efficiency Maine Residential Technical Reference Manual, pg.24: http://www.efficiencymaine.com/docs/EMT-TRM_Residential_v2014-1.pdf -Massachusetts Technical Reference Manual PY 2013-2015, pg.317: http://www.ma-eeac.org/Docs/8.3_TRMs/1MATRM_2013-15%20PLAN_FINAL.pdf
GasSavingsPerInstall
Table 402. Peak Coincidence Factor
Inferred from the 2011 Assessment of Potential.
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Custom Rebates Program Table 404. Custom Rebates Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Nonresidential retail electric Nonresidential retail natural gas
Customer Status Building or business owners; landlords of IPL customers
Building or business owners; landlords of IPL customers
Building Type Commercial; Industrial; Agricultural Commercial; Industrial; Agricultural
Building Vintage Existing and new construction Existing and new construction
Geography IPL’s Iowa service territory IPL’s Iowa service territory
The Custom Rebates Program promotes energy-efficiency products and practices among commercial
and industrial customers. The program’s custom incentive structure gives energy users the flexibility to:
install a broad range of high-efficiency equipment not included in IPL’s Nonresidential Prescriptive
Rebates Program; or implement equipment optimization and/or operational and process changes that
reduce energy consumption and peak demand.
IPL nonresidential customers may qualify for custom rebates if they replace standard-efficiency
equipment with equipment and measures that provide energy and/or demand savings. The program
also offers energy-efficient training for facility managers and operators. Program incentives include:
Any measure or project not included in IPL’s Nonresidential Prescriptive Rebates Program or
Agriculture Sector Program due to size, scope, or unique characteristics of the energy-efficiency
equipment or measure;
New construction, additions, and remodeling projects that have progressed beyond the early
design phase;3
Design assistance to improve the efficiency of industrial processes;
Cost-effective and qualified combined heat and power projects;
Training on efficient building operations and efficient technologies for operations and
maintenance staff; and
Equipment optimization, retrocommissioning, or other operational and maintenance
improvements that ensure customer facilities’ continue performance over time.
The Custom Rebates Program offers incentives for a comprehensive set of energy-efficiency measures
and projects for existing buildings and new construction. Eligible efficiency measures may include:
Compressed air
Energy management controls
HVAC, lighting
3 Projects beyond the early design phase no longer qualify for IPL’s Commercial New Construction Program.
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Insulation
Processing equipment
Refrigeration systems
VFDs
Ventilation systems
Waste heat recovery systems
Process heating and cooling.
Michaels Engineering tracks and captures all savings, following the Technical Guide Book for custom
projects. IPL receives all data and analysis for program tracking. The SRM does not summarize measure
algorithms for this program.
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Commercial New Construction Program Table 405. Commercial New Construction Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Nonresidential retail electric (can be single-service or in combination with retail natural gas service)
Nonresidential retail natural gas (must be in combination with retail electric service)
Customer Status Building owners Building owners
Building Type Commercial; Multifamily; Industrial Commercial; Multifamily; Industrial
Building Vintage New construction; major renovations New construction; major renovations
Geography IPL’s Iowa service territory IPL’s Iowa service territory
The Commercial New Construction Program promotes long-term energy savings by encouraging the
adoption of high-performance building practices in the new construction of nonresidential facilities in
IPL’s territory. Through the program, IPL offers energy design assistance (EDA) and construction
incentives to commercial builders and developers who design and build new energy-efficient buildings
and facilities that exceed the current State of Iowa commercial building energy code.
IPL provides incentives to participants when they achieve a target level of energy savings above the
current State of Iowa building energy code. Construction incentives are designed to offset the additional
cost of constructing high-performance commercial buildings.
IPL offers four program tracks based on the planned project size and end use:
1) Program Track I targets the construction of commercial buildings up to 15,000 square feet in size
that are primarily design/build or design/bid/build construction projects. Participants in this
track must exceed current commercial energy-efficient code requirements by 15 percent.
2) Program Track II (formerly encompassed within the Custom Track) targets buildings larger than
15,000 square feet that are straightforward in design and may be on a fast design schedule.
Track II provides evaluation of efficiency options for one type of mechanical system solution. IPL
works with developers in this track to achieve energy savings between 15 and 40 percent above
the current commercial energy code.
3) Program Track III (formerly Custom Track) targets buildings larger than 15,000 square feet that
require more customized energy design. The program provides energy modeling of custom
efficiency strategies selected by the owner/design team. IPL works with developers in this track
to achieve energy savings between 15 and 40 percent above the current commercial energy
code.
4) Program Track IV (formerly Custom Plus Track) offers incentives and assistance to help building
owners or developers achieve energy savings that are 40 to 60 percent above current energy
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code. This track also provides technical and certification support for participants to meet the
requirements of Leadership in Energy and Environmental Design (LEED), ENERGY STAR, Energy
Policy Act of 2005, 2030 Challenge, and other built-environment initiatives.
Participants work closely with IPL energy-efficiency staff. IPL provides incentives throughout the design
and implementation process, under the following protocols:
EDA: IPL provides free consulting to help customers identify the optimal mix of cost-effective energy-efficiency strategies, such as building shell/envelope, window glazing, day-lighting design and control, lighting design and control, heating and cooling systems, motors and pumps, compressed air, and outside air. IPL pays incentives for design assistance services directly to the third-party consultant.
Design Team Incentive: IPL provides a prescriptive design team incentive based on the customer’s construction track. This incentive is intended to offset most or all of the expenses incurred by participating in the EDA process. IPL provides the design team incentive following submittal and review of construction documents.
Construction Incentives: IPL designed its construction incentives to cover a portion of the cost of implementing strategies that result in energy savings of at least 15 percent above the State of Iowa commercial building energy code. Incentive levels are based on the completed building’s verified savings, and are paid approximately 60 days following occupancy of the new building.
Similar to the Custom program, Michaels Engineering tracks and captures all savings, following the ASHRAE-90.1 standards and Technical Guide Book for new construction projects. IPL receives all data and analysis for program tracking. The SRM does not summarize measure algorithms for this program.
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Agriculture Prescriptive Rebates Program Table 406. Agriculture Prescriptive Rebates Program Overview
Eligible Customers
Electric Measures Natural Gas Measures
Customer Class Agriculture electric Agriculture natural gas
Customer Status All All
Building Type Agriculture Agriculture
Building Vintage All All
Geography IPL’s Iowa service territory IPL’s Iowa service territory
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Agriculture-Specific: Grain Dryer
Measure Description
-Savings achieved by replacing an existing, old grain dryer with a new grain dryer. -Retrofit projects achieve electric savings by replacing old grain dryers with new grain dryers that operate more efficiently due to design improvements, increased capacity, increased production, and reduced hours of operation. -The same electric savings are achieved in new construction projects because the customer typically has the option of purchasing old or refurbished grain dryers that are still on the market (per discussions with Dave Warrington). These baseline grain dryers would cost less and have efficiencies comparable to old grain dryers, and the savings are, therefore, the same for new construction and existing buildings.
Fuel Electric
End Use Agriculture-Specific
Baseline Equipment Existing old grain dryer with lower efficiency.
Efficiency Qualification
-Only electric projects may qualify. Combination or gas-only projects are directed to the Custom Rebate program. -Bushels/hr must be provided by the manufacturer, rated at 5 pts of moisture removal per bushel. -Variability in grain dryer type/savings for dryers larger than 2,000 bushels/hr is such that grain dryers of that size fit better with the Custom Rebate program.
Required Rebate Application Inputs
-Number of grain dryers installed. -Grain dryer capacity (bushels/hr).
Market Opportunity Early Replacement; Replacement on Burnout
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Grain Dryers
Where: = Number of average bushels dried per year = See Table 407
= kWh usage per bushel for an old grain dryer = 0.075 = kWh usage per bushel for a new grain dryer = 0.035
Table 407. Estimating Bushels per Year
Savings Tier (Bushels/hr) Savings Tier (Bushels/yr) Average Bushels/yr
< 500 < 170,000 85,000
≥ 500 and < 1,000 ≥ 170,000 and < 330,000 225,000
≥ 1,000 and < 2,000 ≥ 200,000 and < 670,000 400,000
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ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Grain Dryers
VARIABLE SOURCES:
Table 408. Grain Dryer Algorithm Sources
Algorithm Inputs Algorithm Sources
Bushelsyr Alliant Energy Custom Rebate project data from 2012/2013.
kWh bushel old Alliant Energy Custom Rebate project data from 2012/2013.
kWh bushel new Alliant Energy Custom Rebate project data from 2012/2013.
This technology does not provide peak demand savings; grain dryer operations do not run during peak summer months.
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Agriculture-Specific: Livestock Waterers
Measure Description Purchase and Installation of automatic livestock waterers.
Fuel Electric
End Use Agriculture-Specific
Baseline Equipment Manual livestock watering equipment.
Efficiency Qualification
-Waterer must have two inches or more of insulation completely surrounding the inside of the waterer. -Electric heating element (non-electric waterers do not qualify). -If the heating element is greater than 250 watts, an adjustable thermostat is required. -Only new units are accepted.
Required Rebate Application Inputs
Number of livestock waterers installed.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Livestock Waterers
Where: kWh/waterer = Annual savings per livestock waterer in kWh/year /unit = 1,104
Nunits = Number of livestock waterers installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Livestock Waterers
Where:
Annual kWh = Annual kWh savings from livestock waterer = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
VARIABLE SOURCES:
Table 409. Livestock Waterers Algorithm Sources
Algorithm Inputs Algorithm Sources
kWh/waterer Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006 and in agreement with IPL 2014 EEP filing.
NFans Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Agriculture-Specific: Low-Pressure Irrigation
Measure Description Replacement or modification of an existing irrigation system with a more energy-efficient system.
Fuel Electric
End Use Agriculture-Specific
Baseline Equipment Standard irrigation system.
Efficiency Qualification A new irrigation system reduces the pump pressure of an existing system by at least 50%.
Required Rebate Application Inputs
Number of acres with low pressure irrigation system.
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Low-Pressure Irrigation
Where:
Acres = Number of acres with low-pressure irrigation system 134 = Per acre annual energy savings from low-pressure irrigation
system in kWh/acre = 134
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Low-Pressure Irrigation
Where:
Annual kWh = Annual kWh savings from low-pressure irrigation system = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
VARIABLE SOURCES:
Table 410. Low-Pressure Irrigation Algorithm Sources
Algorithm Inputs Algorithm Sources
Acres Entered from application form.
134 IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1 Vol 2; page 353.
CF Inferred from the 2011 Assessment of Potential.
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Dairy Equipment: Automatic Milker Takeoff
Measure Description Installation of automatic milker takeoff, which automatically shuts off milking vacuum pump suction once a minimum flow rate has been achieved.
Fuel Electric
End Use Dairy Equipment
Baseline Equipment Existing dairy parlors with no previously existing automatic milker takeoff.
Efficiency Qualification Applies to existing dairy parlors which have not applied size upgrades or installed other vacuum system improvements.
Required Rebate Application Inputs
-Number of milking cows. -Number of milkings per day.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Automatic Milker Takeoff
Where:
kWh/Cow = Per cow annual energy savings from automatic milker takeoff = 50 NMilkings = Number of milkings per day = 2*
NCows = Number of milking cows per farm = 90* *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Automatic Milker Takeoff
Where:
Annual kWh = Annual kWh savings from automatic milker takeoff = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
VARIABLE SOURCES:
Table 411. Automatic Milker Takeoff Algorithm Sources
Algorithm Inputs Algorithm Sources
kWh/Cow Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006, and in agreement with IPL Energy Efficiency Programs 2009 Evaluation, KEMA. Appendix F Program Evaluations Group 1, Vol 2.
NCows Entered from application form; default value based on 2007 AG Census in IA. Average number of cows per farm = 215,391/2,390 = 90, p. 393: http://www.agcensus.usda.gov/Publications/2007/Full_Report/usv1.pdf
NMilkings Entered from application form; default value based on engineering judgment, Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006.
CF Inferred from the 2011 Assessment of Potential.
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Dairy Equipment: Dairy Scroll Compressor
Measure Description Installation of an efficient scroll compressor in place of a typical reciprocating compressor for dairy parlor milk refrigeration.
Fuel Electric
End Use Dairy Equipment
Baseline Equipment A typical reciprocating compressor for dairy parlor milk refrigeration.
Efficiency Qualification Scroll compressor must replace reciprocating compressor.
Required Rebate Application Inputs
-Efficiency of new scroll compressor (EER). -Presence of precooler (yes or no). -Number of milking cows.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Dairy Scroll Compressor
Where:
EERBase = Cooling efficiency of existing compressor in Btu/watt-hour = 8.4 EERscroll = Cooling efficiency of efficient scroll compressor in Btu/watt-hour = 10.5*
6 = Gallons of milk produced by one cow in a day = 6 365 = Number of days per year = 365
0.93 = Specific heat of milk in Btu/lb-°F = 0.93 8.7 = Density of milk in lb/gal = 8.7 ΔT = Required change in temperature (with precooler) in °F = 19
Required change in temperature (without precooler) in °F = 59 1,000 = Conversion factor from watts to kilowatts = 1,000 NCows = Number of cows = 90*
*Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Dairy Scroll Compressor
Where:
Annual kWh = Annual kWh savings from dairy plate cooler milk precooler = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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VARIABLE SOURCES:
Table 412. Dairy Scroll Compressor Algorithm Sources
Algorithm Inputs Algorithm Sources
EERBase IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
EERscroll Entered from application form; default value based on: IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
6 Gallons of milk produced by one cow in a day; based on: IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
ΔT IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
NCows Entered from application form; default value based on 2007 AG Census in IA. Average number of cows per farm = 215,391/2,390 = 90, p. 393: http://www.agcensus.usda.gov/Publications/2007/Full_Report/usv1.pdf
CF Inferred from the 2011 Assessment of Potential.
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Dairy Equipment: Heat Reclaimer
Measure Description Purchase and Installation of milkhouse heat reclaimer to reduce waste heat from milk cooling compressor.
Fuel Electric
End Use Dairy Equipment
Baseline Equipment Milk cooling compressor and electric water heater; no existing heat reclaimer installed.
Efficiency Qualification -Equipment must be of one of the following brands: Century-Therm, Fre-Heater, Heat Bank, Sunset, Superheater and Therma-Stor. -Must have an electric water heater to achieve electric savings.
Required Rebate Application Inputs
-Number of milking cows per farm. -Whether or not a milk precooler is installed: (Y/N).
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Heat Reclaimer
Where: Reclaimable Heat = Available from the milk and limited by usable heat of
existing equipment in Btuh/yr = See Table 413
EF = Energy factor of the electric water heater = 0.90* 1kW/3.412Btuh = Conversion factor from Btuh to kW = 1/3.412
NCows = Number of milking cows per farm = 90* *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Heat Reclaimer
Where:
Annual kWh = Annual kWh savings from heat reclaimer = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 413. Per-Cow Annual Energy Savings for Different Equipment Configurations
Equipment Type kWh/Cow (kWh/cow/year)
No precooler installed 468,791
Precooler installed 336,667
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VARIABLE SOURCES:
Table 414. Heat Reclaimer Algorithm Sources
Algorithm Inputs Algorithm Sources
Reclaimable Heat IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2. In the absence of a precooler, the heat storage limits the usable heat.
EF Entered from application form; default value from: IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
NCows Entered from application form; default value from: 2007 AG Census in IA. Average number of cows per farm = 215,391/2,390 = 90, p. 393; http://www.agcensus.usda.gov/Publications/2007/Full_Report/usv1.pdf
CF Inferred from the 2011 Assessment of Potential.
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Dairy Equipment: Milk Precooler—Dairy Plate Cooler
Measure Description Installation of plate-style milk precoolers on dairy parlor milk refrigeration systems.
Fuel Electric
End Use Dairy Equipment
Baseline Equipment Dairy parlor milk refrigeration systems, without an existing plate-style milk precooler.
Efficiency Qualification Installation of a plate-style milk precooler in a dairy parlor; no additional efficiency qualifications.
Required Rebate Application Inputs
-Existing equipment type (installed alone, heat reclaimer installed, scroll compressor installed, or both heat reclaim and scroll compressor installed). -Number of cows.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Milk Precooler—Dairy Plate Cooler
Where:
kWh/Cow = Per cow annual energy savings from plate-style milk precooler in kWh/cow/yr
= See Table 415
NCows = Number of milking cows per farm = 90* *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Milk Precooler—Dairy Plate Cooler
Where:
Annual kWh = Annual kWh savings from dairy plate cooler milk precooler = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 415. Per-Cow Annual Energy Savings for Different Equipment Configurations
Equipment Type kWh/Cow (kWh/cow/year)
Installed alone 84.4
Heat reclaimer installed 68.6
Scroll compressor installed 67.5
Both heat reclaimer and scroll compressor installed 54.9
Default if type not known 72.0
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VARIABLE SOURCES:
Table 416. Dairy Plate Cooler Algorithm Sources
Algorithm Inputs Algorithm Sources
kWh/Cow IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2, page 352.
NCows Entered from application form; default value from: 2007 AG Census in IA. Average number of cows per farm = 215,391/2,390 = 90, p. 393: http://www.agcensus.usda.gov/Publications/2007/Full_Report/usv1.pdf
CF Inferred from the 2011 Assessment of Potential.
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Dairy Equipment: Variable-Speed Drives for Dairy Vacuum Pumps/Milking Machines
Measure Description Installation of VFDs on dairy vacuum pumps or replacement of existing constant speed dairy vacuum pumps with dairy vacuum pumps with variable speed capabilities.
Fuel Electric
End Use Dairy Equipment
Baseline Equipment Constant speed dairy vacuum pumps.
Efficiency Qualification This measure applies only for blower-style pumps (not rotary-vane vacuum pumps).
Required Rebate Application Inputs
-Number of milkings per cow per day. -Number of milking cows per farm.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—VSD for Dairy Vacuum Pumps
Where:
16 = Annual energy savings per cow per milking from VSD dairy vacuum pump in kWh/cow/milking
= 16
NCows = Number of milking cows per farm = 90* *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—VSD for Dairy Vacuum Pumps
Where:
Annual kWh = Annual kWh savings from VSDs for Dairy Vacuum Pumps/Milking Machines
= Calculated
CF = Agriculture Peak Coincidence Factor = 0.0001308 VARIABLE SOURCES:
Table 417. VSDs for Dairy Vacuum Pumps/Milking Machines Algorithm Sources
Algorithm Inputs Algorithm Sources
16 Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006, and in agreement with IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
NCows Entered from application form; default value from 2007 AG Census in IA. Average number of cows per farm = 215,391/2,390 = 90, p. 393: http://www.agcensus.usda.gov/Publications/2007/Full_Report/usv1.pdf
CF Inferred from the 2011 Assessment of Potential.
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HVAC: Air Source Heat Pump
Measure Description Purchase and installation of air-source heat pump.
Fuel Electric
End Use HVAC
Baseline Equipment Air source heat pump compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
Efficiency Qualification
-Air Source Heat Pump <65 MBtuh: Minimum SEER efficiency of 14.5 and minimum HSPF efficiency of 8.2. -Air Source Heat Pump ≥65 and <135 MBtuh: Minimum EER efficiency of 11.3 and minimum COP efficiency of 3.4 (at 47°F db/43°F WB Outdoor Air) and 2.4 (at 17°F DB/15°F WB Outdoor Air). -Air Source Heat Pump ≥135 and <240 MBtuh: Minimum EER efficiency of 10.9 and minimum COP efficiency of 3.2 (at 47°F DB/43°F WB Outdoor Air) and 2.1 (at 17°F DB/15°F WB Outdoor Air). -Air Source Heat Pump ≥240 and <760 MBtuh: Minimum EER efficiency of 10.3 and minimum COP efficiency of 3.2 (at 47°F DB/43°F WB Outdoor Air) and 2.1 (at 17°F DB/15°F WB Outdoor Air).
Required Rebate Application Inputs
-Equipment size (in MBtuh or tons). -Cooling efficiency (in SEER or EER). -Heating efficiency (in HSPF or COP).
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM:
Electric Savings kWh—Air Source Heat Pump <65 MBtuh—SEER and HSPF Rated
Where:
SEERBase = Seasonal Energy Efficiency Ratio Federal Baseline = 13* 14**
SEEREff = Seasonal Energy Efficiency Ratio of new high-efficiency system = Range (14.5 to 35) CAPC = Capacity of cooling system in MBtuh
CAPMBtuh = CAPtons × 12 = Range (4 to 65)
EFLHC = Equivalent Full Load Hours of cooling = 691 Unit = Number of rebated units
SFC = Cooling Savings factor for Quality Installation = 10.5% HSPFBase = Heating Seasonal Performance Factor Federal Baseline = 7.7*
8.2** HSPFEff = Heating Seasonal Performance Factor of new high-efficiency
system = Range (7.8 to 15)
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CAPH = Capacity of heating system in MBtuh CAPMBtuh = CAPtons × 12
= Range (4 to 65)
EFLHH = Equivalent Full Load Hours of heating = 478 *Before 1/1/2015 **After 1/1/2015
Electric Savings kWh—Air Source Heat Pump ≥65 MBtuh—EER and COP Rated
Where:
EERBase = Energy Efficiency Ratio baseline = See Table 418 EEREff = Energy Efficiency Ratio of new high-efficiency system = (10.3 to 18)
COPBase = Coefficient of Performance of baseline efficiency system = See Table 418 COPEff = Coefficient of Performance of new high-efficiency system = See Table 418 3.412 = Conversion factor from Btu to kilowatts
ANNUAL ENERGY DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Air Source Heat Pump
Where:
EERBase = Energy Efficiency Ratio baseline (all sizes) = See Table 418* EEREff = Energy Efficiency Ratio of new high-efficiency system (all sizes) = (9.8 to 16)
CF = Peak Coincidence Factor = 0.0001308 *For units less than 65 MBtuh in size, use EER 11.2 (before 1/1/2015) or EER 11.8 (after 1/1/2015).
ALGORITHM VARIABLES:
Table 418. Air Source Heat Pump EER and COP for Units Greater Than or Equal to 65 MBtuh in Size
Heat Pump Size EERBase EEREff COPBase COPEff
≥65 and <135 11.0 11.3 3.3 3.4
≥135 and <240 10.6 10.9 3.2 3.2
≥240 and <760 9.5 10.3 3.2 3.2
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VARIABLE SOURCES:
Table 419. Air Source Heat Pump Algorithm Sources
Algorithm Inputs Algorithm Sources
SEERBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
SEEREff Entered from application form or AHRI database. Range based on AHRI database.
CAPC Entered from application form or AHRI database.
HSPFBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
HSPFEff Entered from application form or AHRI database. Range based on AHRI database.
CAPH Entered from application form or AHRI database; if not available, use cooling capacity as a proxy.
EFLHH Inferred from the 2011 Assessment of Potential.
EFLHC Inferred from the 2011 Assessment of Potential.
EERBase 11.2 EER: Calculated from SEERBase, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER: http://www.nrel.gov/docs/fy10osti/47246.pdf
EEREff Entered from application form or AHRI database. Range based on AHRI database.
Table 418. Air Source Heat Pump EER and COP for Units Greater Than or Equal to 65 MBtuh in Size
Code of Federal Regulations, 10 CFR 430.32(c)(2); IECC 2009 Table 503.2.3(1).
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HVAC: Heat Pump (Geothermal)
Measure Description
Geothermal heat pumps have higher energy efficiency ratio (EER) and coefficient of performance (COP) ratings than conventional air-source heat pump models. The baseline represents a standard efficiency air source heat pump.
Fuel Electric
End Use HVAC
Baseline Equipment Standard efficiency ASHP compliant with Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
Efficiency Qualification Tier 1 Geothermal Heat Pump that is EER 14.0 and 3.0 COP. Tier 2 Geothermal Heat Pump that is EER 18.0 and 4.0 COP. Tier 3 Geothermal Heat Pump that is EER 23.0 and 5.0 COP.
Required Rebate Application Inputs
-Application Type (Water-to-Water, Water-to-Air, Direct Geoexchange) -Equipment Type (Water-Loop Heat Pump, Ground-Water Heat Pump, Ground-Loop Heat Pump) -System Type (Open Loop, Closed Loop) -Equipment Size (in MBtuh or Tons) -Efficiency (EER and COP) -Installation date -Variable Speed Geothermal systems (Y/N)
Market Opportunity Replace on Burnout; Early Replacement
Sector(s) Residential
Program Residential Prescriptive Rebates
ANNUAL ENERGY-SAVINGS ALGORITHM:
Electric Savings kWh—Geothermal Heat Pump—Single/Constant Speed
Where:
EERBase = Energy Efficiency Ratio federal baseline = 11.2* 11.8**
EERFL-Eff = Rated full load Energy Efficiency Ratio of high-efficiency system =
See Table 420. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
CAPFL-C = Rated full load capacity of cooling system in MBtuh (Tons × 12) = Range (4 to 240) EFLHC = Equivalent Full Load Hours of cooling = 691
Unit = Number of rebated units
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COPBase = Coefficient of Performance of baseline system = 2.26* 2.40**
COPFL-Eff = Rated full load Coefficient of Performance of efficient system =
See Table 420. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
CAPH = Rated full load capacity of heating system in MBtuh (Tons × 12) = Range (4 to 240) EFLHH = Equivalent Full Load Hours of heating = 478 3.412 = Conversion factor from Btuh to watts = 3.412
*Before 1/1/2015 **After 1/1/2015 Federal Code Change
Electric Savings kWh—Geothermal Heat Pump—Variable Speed
Where:
PLFH = Part load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
FLFH = Full load heating mode operation factor where heating mode the GSHP operates 50% of the time at full load (less efficient) and 50% at partial load (more efficient).
= 0.5
PLFC = Part load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.85
FLHC = Full load cooling mode operation factor where cooling mode the GSHP operates 15% of the time at full load (less efficient) and 85% at partial load (more efficient).
= 0.15
CAPFL-C = Rated full load capacity of cooling system in MBtuh = Range (4 to 240) CAPFL-H = Rated full load capacity of heating system in MBtuh = Range (4 to 240)
EERBase = Energy Efficiency Ratio of baseline efficiency system in [Btu/W-h] = 11.2* 11.8**
EERPL-Eff = Part Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
EERFL-Eff = Full Load Energy Efficiency Ratio of new high efficiency system in [Btu/W-h]
COPBase = Coefficient of Performance of baseline system in [Btu/W-h] = 2.26* 2.40**
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COPPL-Eff = Rated part load Coefficient of Performance of new high efficiency system in [Btu/W-h]
COPFL-Eff = Rated full load Coefficient of Performance of new high efficiency system in [Btu/W-h]
EFLHC = Equivalent Full Load Hours of Cooling = 691 EFLHH = Equivalent Full Load Hours of Heating = 478 3.412 = Conversion Btuh per watt = 3.412
Unit = Number of Rebated Units *Before 1/1/2015 **After 1/1/2015 Federal Code Change
ANNUAL ENERGY-DEMAND ALGORITHM:
Electric Demand Savings Peak kW—Geothermal Heat Pump
Where:
CF = Peak Coincidence Factor = 0.00013081
ALGORITHM VARIABLES:
Table 420. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
GSHP Type Application Type Minimum
EEREff Maximum
EEREff Minimum
COPEff Maximum
COPEff
Water-Loop Heat Pump Water-to-Air 14.0 27.2 3.0 9.4
Ground-Water Heat Pump Water-to-Air 14.0 59.7 3.0 7.4
Ground-Loop Heat Pump Water-to-Air 14.0 46.2 3.0 6.2
Water-Loop Heat Pump Water-to-Water 14.0 18.2 3.0 5.6
Ground-Water Heat Pump Water-to-Water 14.0 27.6 3.0 4.8
Ground-Loop Heat Pump Water-to-Water 14.0 24.3 3.0 4.0
Direct Geoexchange N/A 14.0 24.4 3.0 4.4
VARIABLE SOURCES:
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Table 421. Geothermal Algorithm Sources
Algorithm Inputs Algorithm Sources
EERBase Calculated from SEERBASE, methodology from NREL Building America Research Benchmark Definition 2009, Equation 4: EER = -0.02×SEER2+1.12 × SEER. SEER based on Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) and 10 CFR 430.32(c)(3).
EERFL-Eff Entered from application form or AHRI database.
CAPFL-C Entered from application form or AHRI database. For heat pumps larger than 65 MBtuh, it is assumed multiple air-source heat pumps are installed that are less than 65 MBtuh maintaining the same baseline.
COPBase Federal Code, 2006 and 2015, 10 CFR 430.32(c)(2) (converted HSPF to COP, dividing HSPF by 3.412).
COPFL-Eff Entered from application form or AHRI database.
CAPFL-H Entered from application form or AHRI database. For heat pumps larger than 65 MBtuh, it is assumed multiple air-source heat pumps are installed that are less than 65 MBtuh maintaining the same baseline.
PLFH Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFH
PLFC
GSHPs produce higher cooling capacity than heating capacity. A 4-ton GSHP might produce 50,000 BTUs of cooling but only 37,400 BTUs of heating at peak cooling and heating conditions, respectively. In Des Moines, homes demand more heating than cooling. This means that the GSHP must run longer at full-load to heat a home, but can meet the homes cooling load with less capacity. As a result, the part-load adjustment has a proportionally larger impact on the cooling season usage. Based on Cadmus analysis of the relationship between part- and full-load capacities from building simulations of BEopt (Building Energy Optimization) to generate the energy models. The models were calibrated using Cadmus metered data of 13 high-efficiency multi-stage GSHP models functioning in both part- and full-loads.
FLFC
EERPL-Eff Use the rated part load efficiency from application form or AHRI database
COPPL-Eff Use the rated part load efficiency from application form or AHRI database
EFLHH Inferred from the 2011 Assessment of Potential.
EFLHC Inferred from the 2011 Assessment of Potential.
CF Inferred from the 2011 Assessment of Potential.
Table 420. Geothermal Heat Pump Efficient System Energy Efficiency Ratio and Coefficient of Performance
Minimum range based on equipment qualifications. Maximum range based on AHRI database and rounded up by 15%, as of September 2013.
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Lighting: LED and CFL Fixtures
Measure Description Installation of LED and CFL fixtures that require less power than conventional incandescent, fluorescent, and HID fixtures.
Fuel Electric
End Use Lighting
Baseline Equipment Incandescent, fluorescent, or HID technology lighting for given applications.
Efficiency Qualification
-All ENERGY STAR categories. -Outdoor fixtures: outdoor pole/arm-mounted, bollards, parking garage, fuel pump canopy, landscape/accent, architectural flood and spot luminaires. -Indoor fixtures: wall-wash, track or mono-point directional, high-bay, low-bay, and high-bay aisle luminaires. -All categories previously cited with retrofit kits are eligible. -Linear fluorescent replacement fixtures not eligible for prescriptive rebate. -For LED refrigerated case lights refer to separate rebate.
Required Rebate Application Inputs
-Efficient fixture wattage. -Efficient fixture quantity. -Technology replaced by new fixture (incandescent, fluorescent, or HID technology). -Hours of use or building type group. -Application type (exterior or interior).
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED and CFL Fixtures
Where:
WM = Wattage Multiplier to convert efficient to baseline wattage = See Table 422 WEff = Wattage of efficient fixture
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours = See Table 423*
Nunits = Number of fixtures installed *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED and CFL Fixtures
Where:
Annual kWh = Annual kWh savings from LED/CFL fixture = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 422. Wattage Multiplier for Different Baseline Fixtures
Measure Replaced Technology
New Construction WM -Incandescent WM - Fluorescent WM - HID
LED Fixtures 3.13 1.02 2.01 1.96
CFL Fixtures 3.13 1.02 2.01 1.96
Table 423. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 424. LED and CFL Fixtures Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 422. Wattage Multiplier for Different Baseline Fixtures
-Incandescent WM based on ENERGY STAR-qualified lamp product database. -Fluorescent WM based on Design Light Consortium product database. -HID WM based the S/P ratio analysis by Howard Lighting, with reference to LBNL. -New construction WM based the Scotopic/Photopic [S/P] ratio analysis by Howard Lighting with reference to LBNL where PSMH is the assumed baseline.
WEff Entered from application form
Hours
Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council, the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on LBNL: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: LED and CFL Lamps
Measure Description Installation of LEDs and CFLs that require less power than incandescent lamps.
Fuel Electric
End Use Lighting
Baseline Equipment Standard incandescent lamps; baseline wattages are based on EISA standards, effective 1/1/14.
Efficiency Qualification ENERGY STAR-qualified CFLs or LEDs.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Hours of use or building type group. -Application type (exterior or interior).
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED and CFL Lamps
Where:
WBase = Wattage of baseline incandescent lamp = See Table 425 WEff = Wattage of efficient LED/CFL
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours = See Table 426*
Nunits = Number of lamps installed *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED and CFL Lamps
Where:
Annual kWh = Annual kWh savings from CFL/LED = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 425. Baseline Wattages for Varying CFL/LED Wattage Ranges
CFL/LED Wattage Range WBase
1-5 25
6-11 29
12-15 43
16-21 53
22-37 72
38-49 150
50-71 200
Table 426. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 427. LED/CFL Lamps Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase Analysis of ENERGY STAR-qualified product list, 9/12/13: http://www.energystar.gov/index.cfm?c=products.pr_find_es_products
WEff Entered from application form.
Hours
Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council, the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day, based on LBNL: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: LED Exit Signs
Measure Description LED exit signs operate at lower wattages and last over 50,000 hours, while CFL exit signs operate at two to four times more power and have a shorter life.
Fuel Electric
End Use Lighting
Baseline Equipment Existing exit signs with CFLs installed.
Efficiency Qualification -Existing construction only. -Must replace incandescent or CFL exit sign. -Direct-install.
Required Rebate Application Inputs
-Number of units. -Replacement exit sign type (CFL or incandescent). -Installed exit sign type (LED).
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Program
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—LED Exit Sign
Where:
ExitSignSavings = Average annual unit energy savings from LED exit sign in kWh/unit/year
= 214
Units = Number of units ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—LED Exit Sign
Where:
Annual kWh = Annual kWh savings from LED exit sign = Calculated CF = Peak Coincidence Factor = 0.0001308
VARIABLE SOURCES:
Table 428. LED Exit Sign Algorithm Sources
Algorithm Inputs Algorithm Sources
ExitSignSavings
Ratio of incandescent exit signs to all incandescent, fluorescent, and LED exit signs. Rensselaer Polytechnic Institute and Lighting Research Center, estimated that 90% of eligible exit signs were incandescent (2005). WI Focus on Energy, “Business Programs: Deemed Savings Manual V1.0.” Update Date: March 22, 2010. LED Exit Sign. "2010 U.S. Lighting Market Characterization" January 2012: http://apps1.eere.energy.gov/buildings/publications/pdfs/ssl/2010-lmc-final-jan-2012.pdf
Units Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: High-Efficiency Metal Halide
Measure Description Installation of pulse start or ceramic metal halide lamps, which require less power.
Fuel Electric
End Use Lighting
Baseline Equipment HID lighting with probe start fixture
Efficiency Qualification
-Must be pulse start or ceramic metal halide. -Must replace probe start fixtures. -The retrofit kit must include lamp and ballast. -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High-Efficiency Metal Halide Lighting
Where:
WBase = Wattage of baseline HID fixture = See Table 429 WEff = Wattage of efficient HID fixture = See Table 429
1000 = Conversion factor from watts to kilowatts = 1000 Hours = Annual lighting operating hours = See Table 430*
Nunits = Number of efficient HID fixtures installed *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Efficiency Metal Halide Lighting
Where:
Annual kWh = Annual kWh savings from efficient HID fixture = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 429. Baseline HID and Efficient Metal Halide Fixture Wattages
Measure Standard HID—Wbase WEff
MH 32W 43 41
MH 50W 72 68
MH 70W 95 90
MH 100W 128 121
MH 150W 189 178
MH 175W 215 208
MH 250W 295 288
MH 400W 458 452
MH 750W 850 818
MH 1000W 1,080 1,066
MH 1500W 1,610 1,589
Table 430. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 431. High-Efficiency Metal Halide Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase
Metal halide HID fixture with pulse start ballast, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff Based on efficient lamp wattage entered from application form.
Hours Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: Heat Lamps
Measure Description Purchase and Installation of reduced wattage heat lamps to heat infant animals (especially pigs) during the summer months.
Fuel Electric
End Use Lighting
Baseline Equipment Standard wattage heat lamps.
Efficiency Qualification Wattage of the reduced wattage heat lamp must be less than or equal to 175 watts.
Required Rebate Application Inputs
-Wattage of efficient lamp (in watts). -Number of units installed.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Heat Lamps
Where: WBase = Wattage of baseline heat lamp = 250* WHVLS = Wattage of reduced wattage heat lamp = 175* Hours = Annual heat lamp operating hours = 2,000* 1,000 = Conversion factor from watts to kilowatts = 1,000 Nunits = Number of units installed = 50*
*Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Heat Lamps
Where:
Annual kWh = Annual kWh savings from reduced wattage heat lamp = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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VARIABLE SOURCES:
Table 432. Heat Lamps Algorithm Sources
Algorithm Inputs
Algorithm Sources
WBase Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006, and in agreement with IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
WEff
Entered from application form; default value based on Wattage of efficient infrared Brooder fixture: http://www.farmtek.com/farm/supplies/cat1;ft_poultry_equipment;ft_poultry_brooders_heaters.html
Hours Entered from application form; default value based on 12 weeks of use during the summer (12 x 7 x 24 = 2,016), based on time between birth and weaning, 12 weeks is a conservative estimate: http://www.ag.auburn.edu/~chibale/sw05weaning.pdf
Nunits Entered from application form; default value based on engineering judgment. Average lamps per farm estimated based on reviewing IPL's 2010 and 2011 participant data.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: High Bay (HID) Delamping
Measure Description Delamping conducted done by removing unnecessary light bulbs or fixtures from areas producing greater-than-needed illumination.
Fuel Electric
End Use Lighting
Baseline Equipment T8 standard baseline, regardless of existing bulbs.
Efficiency Qualification
-Permanent lamp removal can be claimed if completed project results in a net reduction in the quantity of lamps. -Delamping requires removal of lamps/ballasts and unused lampholders from existing fixtures without replacing the lamps.
Required Rebate Application Inputs
Wattage of delamped bulb (lamp wattage not fixture wattage that includes the ballast losses).
Market Opportunity Removal; Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High Bay (HID) Delamping
Where:
WDelamp = Total wattage of delamped bulbs (sum of all lamps wattages) BF = Ballast factor to account for total fixture wattage = 1.1017
1,000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual lighting operating hours = See Table 433*
*Use provided default value only if value is not available ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings kW—High Bay (HID) Delamping
Where: Annual kWh = Annual kWh savings from T8/T12 delamping = Calculated
CF = Agriculture Peak Coincidence Factor = 0.0001308 ALGORITHM VARIABLES:
Table 433. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
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VARIABLE SOURCES:
Table 434. High Bay (HID) Delamping Algorithm Sources
Algorithm Inputs Algorithm Sources
Wdelamp Entered from application form.
LF Determined via analysis based on SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
HOU Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: High-Bay Lighting
Measure Description Installation of lamps requiring less power with high-bay T8 or T5HO fixtures replacing high-bay HID fixtures.
Fuel Electric
End Use Lighting
Baseline Equipment EISA-compliant metal halide HID fixture with pulse start ballast after 2014.
Efficiency Qualification -High Bay T8 fluorescent lamp with electronic ballast (T8). -High Bay T5 high-output fluorescent lamp with electronic ballast (T5HO).
Required Rebate Application Inputs
-Efficient lamp type (T8, T5HO). -Efficient lamp quantity. -Replaced lamp type (HID). -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High Bay Lighting
Where:
WBase = Wattage of baseline high-bay fixture = See Table 435 WEff = Wattage of efficient high-bay fixture = See Table 435
1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours = See Table 436*
Nunits = Number of efficient high-bay lighting fixtures installed *Use provided default value only if value is not available ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Bay Lighting
Where:
Annual kWh = Annual kWh savings from efficient high-bay fixture = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 435. Baseline and Efficient High-Bay Fixture Wattage
Measure Lamp
Quantity
WBase
WEff After 1/1/2015 Wbase—EISA Compliant Metal Halide HID
After 1/1/2015 Wbase—EISA Compliant Metal Halide HID
4' High Bay T8 3 189 178 112
4' High Bay T8 4 215 208 152
4' High Bay T8 5 295 288 189
4' High Bay T8 6 295 288 226
4' High Bay T8 8 370 365 302
4' High Bay T5 HO 3 235 232 179
4' High Bay T5 HO 4 295 288 234
4' High Bay T5 HO 5 370 365 294
4' High Bay T5 HO 6 405 400 351
4' High Bay T5 HO 8 513 506 468
Table 436. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 437. High-Bay Lighting Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase
EISA compliant metal halide HID fixture with pulse start ballast, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff Based on efficient lamp type and quantity entered from application form, SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
Hours Entered from application form; default values based on groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: High-Performance and Reduced-Wattage T8 Fixtures
Measure Description Installation of fluorescent lamps that require less power.
Fuel Electric
End Use Lighting
Baseline Equipment Standard T8 lamps.
Efficiency Qualification
-Fluorescent reduced-wattage T8 (RWT8) and ballasts packages replacing EISA-compliant fluorescent T12 or standard fluorescent T8 and ballasts packages. -Fluorescent high-performance T8 (HPT8) and ballasts packages replacing EISA-compliant fluorescent T12 or standard fluorescent T8 and ballasts packages. -Must have a ballast factor of less than 0.79 (BF < 0.79)
Required Rebate Application Inputs
-Efficient lamp type (HPT8, RWT8). -Efficient lamp quantity. -Replaced lamp type (T12 or standard T8). -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—HPT8/RWT8 Fixtures
Where:
WBase = Wattage of baseline fluorescent fixture = See Table 438 WEff = Wattage of efficient fluorescent fixture = See Table 438
1000 = Conversion factor from watts to kilowatts = 1000 Hours = Annual lighting operating hours = See Table 439*
Nunits = Number of efficient light fixtures installed *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—HPT8/RWT8 Fixtures
Where:
Annual kWh = Annual kWh savings from HPT8/RWT8 lamp fixture = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 438. Baseline and Efficient HPT8/RWT8 Wattages
Measure Lamp Quantity Wbase
T8 Standard HPT8—WEff RWT8—WEff
HPT8/RWT8 (BF < 0.79) 1 31 27 21
HPT8/RWT8 (BF < 0.79) 2 59 54 42
HPT8/RWT8 (BF < 0.79) 3 89 76 63
HPT8/RWT8 (BF < 0.79) 4 112 105 84
HPT8/RWT8 (BF < 0.79) 6 175 156 126
Table 439. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 440. HTP8/RWT8 Fixtures Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
WEff Based on efficient lamp type and quantity, entered from application form; SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B.
Hours Entered from application form; default values based on groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting—Induction Lamp Replacement
Measure Description Installation of electrodeless induction lamps that require less power.
Fuel Electric
End Use Lighting
Baseline Equipment Metal halide lamp.
Efficiency Qualification
-Maximum wattage eligible is a 250-watt induction lamp. -One-for-one replacement of incandescent or HID fixtures, including mercury vapor, high-pressure sodium, and standard metal halide or pulse-start metal halide.* -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Replaced lamp wattage. -Replaced lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
* Metal halide standard will become effective January 1, 2015, but statutory deadline for the final rule was January 1, 2012.
DOE missed the deadline. The earliest standard can be effective is still January 2015, but may be later. Re-evaluate measure if code is enacted. ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Induction Lamp Replacement
Where:
WBase = Wattage of baseline HID fixture = See Table 441 WEff = Wattage of efficient HID fixture = See Table 441
1,000 = Factor to convert watts to kilowatts Hours = Annual lighting operating hours from the application = See Table 441 NUnits = Number of high-efficiency metal halide fixtures installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Induction Lamp Replacement
Where:
Annual kWh = Annual kWh savings from metal halide lamp replacement = Calculated CF = Agriculture Peak Coincidence Factor = 0.00013081
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ALGORITHM VARIABLES:
Table 441. Baseline and Efficient Wattages of Induction Lamps
Measure: Induction Rated Wattage Measure Category: Induction
Watts Range Fixture Wattage
WBase Fixture
Wattage WEff
200 180<W≤250 458 204
165 75<W≤180 397 168
120 75<W≤180 295 122
85 75<W≤180 215 87
70 W≤75 190 72
55 W≤75 128 56
40 W≤75 95 41
Average Wattage High Bin 180<W≤250 458 204
Average Wattage Medium Bin 75<W≤180 302 126
Average Wattage Low Bin W≤75 138 56
Table 442. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
VARIABLE SOURCES:
Table 443. Induction Lamp Replacement Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 441. Baseline and Efficient Wattages of Induction Lamps
WBase : Metal halide HID fixture wattage based SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aescinc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff : Based on efficient lamp wattage entered from the application form, or use average wattage bins for default.
Table 442. Annual Hours of Lighting Use
Entered from application form or use default values. Default values determined based on groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM 2013, MidAtlantic TRM 2013, Northwest Power Planning Council, the 6th Plan, IN TRM 2013. Results rounded. Industrial hours assume 7-day per week/16-hour per day based on LBNL: Emerging Energy-Efficient Industrial Technologies Report, 2000. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
NUnits Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: Metal Halide Lamp Replacement
Measure Description Installation of metal halide miser lamps that require less power,
Fuel Electric
End Use Lighting
Baseline Equipment Lamp that is 400 watts or greater.
Efficiency Qualification -Must replace 400-watt lamp (or greater) with a ≤360-watt miser lamp. -Existing construction only.
Required Rebate Application Inputs
-Efficient lamp wattage. -Efficient lamp quantity. -Replaced lamp quantity. -Building type.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Metal Halide Lamp Replacement
Where:
WBase = Wattage of baseline HID fixture = 458* 452**
WEff = Wattage of efficient HID fixture = 412 1,000 = Conversion factor from watts to kilowatts = 1,000 Hours = Annual lighting operating hours = See Table 4441*
Nunits = Number of high-efficiency metal halide fixtures installed *Before 1/1/2015 **After 1/1/2015 ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Metal Halide Lamp Replacement
Where:
Annual kWh = Annual kWh savings from efficient HID fixture = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 444. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
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VARIABLE SOURCES:
Table 445. Metal Halide Lamp Replacement Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase
Metal halide HID fixture wattage, based on SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf and reference to Building a Brighter Future: Your Guide to EISA-Compliant Ballast and Lamp Solutions from Philips Lighting: http://1000bulbs.com/pdf/advance%20eisa%20brochure.pdf
WEff Based on efficient lamp wattage entered from application form.
Hours Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: T8 or T12 Delamping
Measure Description Delamping conducted by removing unnecessary light bulbs or fixtures in areas producing greater-than-needed illumination.
Fuel Electric
End Use Lighting
Baseline Equipment T8 standard baseline, regardless of the existing bulb.
Efficiency Qualification
-Permanent lamp removal can be claimed if completed project results in a net reduction in the quantity of lamps. -Delamping requires removal of lamps/ballasts and unused lampholders from existing fixtures without replacing the lamps.
Required Rebate Application Inputs
Linear feet of bulbs delamped.
Market Opportunity Removal; Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—T8 or T12 Delamping
Where:
Wremoved = Removed wattage per linear foot of lighting delamped = 7.2 1,000 = Conversion factor from watts to kilowatts = 1,000 HOU = Annual lighting operating hours = See Table 446*
LF = Linear feet of bulbs removed *Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings kW—T8 or T12 Delamping
Where:
Annual kWh = Annual kWh savings from T8/T12 delamping = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 446. Annual Hours of Lighting Use
End Use Hours
Agriculture 4,500
Exterior Lighting 4,000
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VARIABLE SOURCES:
Table 447. T8/T12 Delamping Algorithm Sources
Algorithm Inputs Algorithm Sources
Wremoved Based on a T8 standard wattage, from an engineering determination based on SCE 2013-2014 Table of Standard Fixture Wattages and Sample Lighting Table, Appendix B: http://www.aesc-inc.com/download/spc/2013SPCDocs/PGE/App%20B%20Standard%20Fixture%20Watts.pdf
LF Entered from application form.
HOU Entered from application form or use default values. Groups weighted by sales data from IPL reference to 2011 Assessment of Potential. Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious EEPs.
CF Inferred from the 2011 Assessment of Potential.
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Lighting: Time Clocks and Timers for Lighting
Measure Description
-Savings captured by installing time clock controls to turn lights on and off at given times. -Typically time clocks control exterior lights used at night. -These exterior lights are turned off manually during work-week daylight hours by workers, but, during the weekend daylight hours, they are left on without a time clock. -A time clock serves to automatically shut the lights off during weekend daylight hours, saving approximately 24 hours of usage per weekend.
Fuel Electric
End Use Lighting
Baseline Equipment Manual switching of light, without time clock controls.
Efficiency Qualification -Commercial grade time clock to control light usage, installed as retrofit -Minimum 45 watts controlled -Existing Construction Only
Required Rebate Application Inputs
-Total wattage controlled by time clock. -Annual operating hours of lamps before timer controls installed. -Annual hours spent in “on” mode of lamps controlled with timer controls.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Time Clock Controls
Where: = Total wattage of lighting controlled by time clock
= Total annual operating hours of lamps without timer controls Annual hours spent in “on” mode of lamps controlled with
timer controls.
(OPHRSTotal – OPHHRSTimeClockHours) = 1,248* 1,000 = Factor to convert watts to kilowatts = Number of time clocks installed
*Use provided default value only if actual value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Time Clock Controls
Where:
CF = Peak Coincidence Factor = 0
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VARIABLE SOURCES:
Table 448. Time Clocks and Timers for Lighting Algorithm Sources
Algorithm Inputs Algorithm Sources
Wcontrolled Entered from application form.
OPHRSTotal Entered from application form or use default value assumption.
OPHRSTimeClockHours Entered from application form or use default value assumption.
Default OPHRSTotal & OPHRSTimeClockHours
DEER Update Study for SCE, p. 65 (report p. 3-13): http://www.calmac.org/publications/2004-05_DEER_Update_Final_Report-Wo.pdf
CF Default Savings Value Savings time period is on the weekend, and therefore does not overlap with peak time.
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Motors: Enhanced Motors (Ultra-PE)
Measure Description
CEE premium-efficiency motors are more efficient than NEMA federal minimum efficiency levels, which became effective in December 2010. This measure specifically relates to HVAC motors and pumps, ranging from 1 hp to 350 hp. Greater than 350 hp use the Custom Program.
Fuel Electric
End Use Motors
Baseline Equipment Standard NEMA efficiency motors.
Efficiency Qualification
-Enhanced (Ultra-PE) Motors ≥1 and ≤15 hp; 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥20 and ≤40 hp; 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥50 and ≤100 hp; 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥125 and ≤200 hp; 1,200–3,600 RPM. -Enhanced (Ultra-PE) Motors ≥250 and ≤350 hp; 1,200–3,600 RPM.
-See efficiency requirements from Table 449.
-Greater than 350 hp use custom program.
Required Rebate Application Inputs
-Number of units. -Motor hp. -Motor speed (RPM). -Motor type (open drip proof, totally enclosed fan).
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Motor—Enhanced (Ultra-PE)
Where: MotorBase = Efficiency rating of standard baseline motor = See Table 449
MotorEff = Efficiency rating of new high-efficiency (CEE) motor = See Table 449 HP = Horsepower of new high-efficiency motor = (1 to 350)
0.746 = Conversion factor from horsepower to kW = 0.746 LF = Loading Factor = 0.75*
HOU = Annual operating hours, depending on hp size = See Table 450 Nunits = Number of units
*Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Motor—Enhanced (Ultra-PE)
Where:
CF = Agriculture Peak Coincidence Factor = 0.0001308
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ALGORITHM VARIABLES:
Table 449. Motor Efficiency Base Percent and Minimum EFF Percent
Open Drip Proof (ODP) TEFC
Horsepower Speed (RPM)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
1 3,600 77.0% 84.0% 77.0% 84.0%
1,800 85.5% 86.5% 85.5% 86.5%
1,200 82.5% 84.0% 82.5% 84.0%
1.5 3,600 84.0% 85.5% 84.0% 85.5%
1.5 1,800 86.5% 87.5% 86.5% 87.5%
1.5 1,200 86.5% 87.5% 87.5% 88.5%
2 3,600 85.5% 86.5% 85.5% 86.5%
1,800 86.5% 87.5% 86.5% 87.5%
1,200 87.5% 88.5% 88.5% 89.5%
3 3,600 85.5% 86.5% 86.0% 87.5%
3 1,800 89.5% 90.2% 89.5% 90.2%
3 1,200 88.5% 89.5% 89.5% 90.2%
5 3,600 86.5% 89.5% 88.5% 89.5%
1,800 89.5% 90.2% 89.5% 90.2%
1,200 89.5% 90.2% 89.5% 90.2%
7.5 3,600 88.5% 89.5% 89.5% 90.2%
7.5 1,800 91.0% 91.7% 91.7% 92.4%
7.5 1,200 90.2% 91.7% 91.0% 91.7%
10 3,600 89.5% 90.2% 90.2% 91.0%
1,800 91.7% 92.4% 91.7% 92.4%
1,200 91.7% 92.4% 91.0% 91.7%
15 3,600 90.2% 91.0% 91.0% 91.7%
15 1,800 93.0% 93.6% 92.4% 93.0%
15 1,200 91.7% 92.4% 91.7% 92.4%
20 3,600 91.0% 91.7% 91.0% 92.4%
1,800 93.0% 93.6% 93.0% 93.6%
1,200 92.4% 93.0% 91.7% 92.4%
25 3,600 91.7% 93.0% 91.7% 92.4%
25 1,800 93.6% 94.1% 93.6% 94.5%
25 1,200 93.0% 93.6% 93.0% 94.1%
30 3,600 91.7% 92.4% 91.7% 92.4%
1,800 94.1% 94.6% 93.6% 94.1%
1,200 93.6% 94.1% 93.0% 93.6%
40 3,600 92.4% 93.0% 92.4% 93.0%
40 1,800 94.1% 94.5% 94.1% 94.5%
40 1,200 94.1% 94.5% 94.1% 94.5%
50 3,600 93.0% 93.6% 93.0% 93.6%
1,800 94.5% 95.0% 94.5% 95.0%
1,200 94.1% 94.5% 94.1% 94.5%
60 3,600 93.6% 94.1% 93.6% 94.1%
60 1,800 95.0% 95.4% 95.0% 95.8%
60 1,200 94.5% 95.0% 94.5% 95.0%
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Open Drip Proof (ODP) TEFC
Horsepower Speed (RPM)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
BASE Efficiency (%) NEMA 2010
Standard
IPL EFF Minimum
Efficiency (%)
75 3,600 93.6% 94.1% 93.6% 94.5%
1,800 95.0% 95.4% 95.4% 95.8%
1,200 94.5% 95.0% 94.5% 95.0%
100 3,600 93.6% 94.5% 94.1% 94.5%
100 1,800 95.4% 95.8% 95.4% 95.8%
100 1,200 95.0% 95.4% 95.0% 95.4%
125 3,600 94.1% 94.5% 95.0% 95.4%
1,800 95.4% 95.8% 95.4% 95.8%
1,200 95.0% 95.4% 95.0% 95.4%
150 3,600 94.1% 94.5% 95.0% 95.8%
150 1,800 95.8% 96.2% 95.8% 96.2%
150 1,200 95.4% 95.8% 95.8% 96.2%
200 3,600 95.0% 95.4% 95.4% 95.8%
1,800 95.8% 96.2% 96.2% 96.5%
1,200 95.4% 95.8% 95.8% 96.2%
250 3,600 94.5% 95.0% 95.4% 95.8%
250 1,800 95.4% 95.8% 95.0% 96.2%
250 1,200 95.4% 95.4% 95.0% 95.8%
300 3,600 95.0% 95.4% 95.4% 95.8%
1,800 95.4% 95.8% 95.4% 96.2%
1,200 95.4% 95.4% 95.0% 95.8%
350 3,600 95.0% 95.4% 95.4% 95.8%
350 1,800 95.4% 95.8% 95.4% 96.2%
350 1,200 95.4% 95.4% 95.0% 95.8%
400 3,600 95.4% 95.8% 95.4% 95.8%
1,800 95.4% 95.8% 95.4% 96.2%
1,200 95.8% 95.8%
450 3,600 95.8% 95.8% 95.4% 95.8%
450 1,800 95.8% 96.2% 95.4% 96.2%
450 1,200 96.2% 95.8%
500 3,600 95.8% 95.8% 95.4% 95.8%
1,800 95.8% 96.2% 95.8% 96.2%
1,200 96.2% 95.8%
Table 450. Mean Annual Operating Hours of Enhanced Motors
Unit hp Range Mean Annual HOU
1-5 2,745
6-20 3,391
21-50 4,067
51-100 5,329
101-200 5,200
201-350 6,132
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VARIABLE SOURCES:
Table 451. Enhanced Motors (Ultra-PE) Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 449. Motor Efficiency Base Percent and Minimum EFF Percent
Full-load efficiencies for NEMA Standard Premium Efficiency Motor (EISA Standard, effective Dec. 2010). (1-200 hp full-load efficiencies for NEMA EPACT energy-efficient motors.) (250-500; EPAct 2005 requires all federal motor purchases to meet FEMP-designated performance requirements. FEMP has adopted requirements equivalent to these NEMA Premium specification levels.)
MotorEff Entered from application form.
HP Entered from application form.
LF 2008 Assessment of Potential (ratio between the actual load and the rated load; motor efficiency curves typically result in motors being most efficient at approximately 75% of the rated load; the default value is 0.75. PA 2013 TRM).
HOU United States Industrial Electric Motor Systems Mark Opportunities Assessment (p. 66), December 2012: http://www1.eere.energy.gov/manufacturing/tech_assistance/pdfs/mtrmkt.pdf
CF Inferred from the 2011 Assessment of Potential.
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Motors: VFDs
Measure Description
Variable speed controls allow pump and fan motors to operate at lower speeds, while still maintaining setpoints during partial load conditions. Energy reduces when motor operation varies with load rather than runs at a constant speed.
Fuel Electric
End Use Motors
Baseline Equipment A typical reciprocating compressor for dairy parlor milk refrigeration.
Efficiency Qualification Application for motors 5 to 200 hp.
Required Rebate Application Inputs
-Number of units. -Motor hp. -Motor speed (RPM). -Motor type (open drip proof or totally enclosed fan). -Motor efficiency (EFFmotor). -Application type (fan or pump).
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—VFDs
Where: HP = Horsepower of new or existing high-efficiency motor = (1 to 200)
EffMotor = Efficiency rating of motor being controlled by VFD = (50.0% to 98.0%) 0.746 = Conversion from horsepower to kW = 0.746
LF = Loading Factor = 0.75* SF = Savings Factor, depending on application type = Fan: 0.2129
Pump: 0.4175 Other: 0.1252
EFFVSD = Efficiency rating of VFD = 0.95 OPHRS = Annual operating hours, depending on hp size = See Table 452
Nunits = Number of units
*Use provided default value only if value is not available. ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—VFDs
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Where: DSF = Demand Savings Factor, depending on application type =
Fan: 0.1387 Pump: 0.1495 Other: 0
CF = Agriculture Peak Coincidence Factor = 0.0001308 ALGORITHM VARIABLES:
Table 452. Mean Annual Operating Hours of VFDs
Unit hp Range Mean Annual HOU
1-5 2,745
6-20 3,391
21-50 4,067
51-100 5,329
101-200 5,200
VARIABLE SOURCES:
Table 453. VFDs Algorithm Sources
Algorithm Inputs Algorithm Sources
HP Entered from application form.
EFFmotor Entered from application form or use default table below: "TABLE: Motor Efficiency Base %"
LF Ratio between the actual load and the rated load. Motor efficiency curves typically result in motors being most efficient at approximately 75% of the rated load. The default value is 0.75. PA 2013 TRM.
SF/DSF
Averaged VFD savings, based on application type. Percent's based on analysis, derived using a temperature BIN spreadsheet and typical heating, cooling, and fan load profiles. Analysis by UI and CL&P Program Savings Documentation for 2012 & 2011 Program Year, United Illuminating Company, September 2011.
EFFVSD Variable speed drive conversion efficiency can range from 90.0% to 99.0%, assuming average efficiency of 95%.
HOU United States Industrial Electric Motor Systems Mark Opportunities Assessment (p. 66), December 2012: http://www1.eere.energy.gov/manufacturing/tech_assistance/pdfs/mtrmkt.pdf
CF Inferred from the 2011 Assessment of Potential.
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Ventilation: Circulating Fans
Measure Description Installation of a high-efficiency fans in place of inefficient fans used to circulate air in agricultural applications.
Fuel Electric
End Use Ventilation
Baseline Equipment Standard fans used to circulate air in agricultural applications.
Efficiency Qualification
-Must have a CFM/Watt greater than or equal to those specified in Table 454. -Fan-motor combinations must also be tested by: Air Movement and Control Association (AMCA) or Bioenvironmental and Structural Systems (BESS) lab at the University of Illinois. -Must be wired for 208- or 240-volt service.
Required Rebate Application Inputs
-Fan diameter (in inches).
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—Circulating Fans
Where: CriculationSavings = Annual per unit savings depending on fan size = See Table 455
Nunits = Number of efficient fans installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—Circulating Fans
Where:
Annual kWh = Annual kWh savings from efficient circulating fans = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 454. CFM/Watt Requirements for Qualifying Circulating Fans
Fan Diameter (in.) IPL Minimum Efficiency (CMF/Watt)
12-23 10.7
24-35 11.5
36-47 19.0
48+ 21.5
50+ 21.5
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Table 455. Annual Savings from Efficient Circulating Fans
Fan Diameter (in.) Circulation Savings (kWh/fan/year)
12-23 184
24-35 264
36-47 347
48+ 475
50+ 578
VARIABLE SOURCES:
Table 456. Circulating Fans Algorithm Sources
Algorithm Inputs Algorithm Sources
CirculationSavings
IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2. Savings represent the average of fans with efficiencies less than the program minimum and average efficiencies greater than the program minimum that are in the University of Illinois BESS Labs database: http://bess.illinois.edu/
CF Inferred from the 2011 Assessment of Potential.
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Ventilation: High-Volume, Low-Speed (HVLS) Fans
Measure Description Purchase and installation HVLS fans.
Fuel Electric
End Use Ventilation
Baseline Equipment Standard high-speed circulation fan.
Efficiency Qualification Qualifying fans must extend 16 feet or more in diameter.
Required Rebate Application Inputs Fan size (diameter) in feet.
Market Opportunity Retrofit
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High Volume, Low Speed Fans
Where: WBase = Wattage of a standard circulation fan based on fan size = See Table 457 WHVLS = Wattage of an HVLS fan based on fan size = See Table 457 Hours = Annual fan operating hours = 2099 1,000 = Conversion factor from watts to kilowatts = 1,000 NFans = Number of fans installed
ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW—High-Volume, Low-Speed Fans
Where:
Annual kWh = Annual kWh savings from high-volume, low-speed fan = Calculated CF = Agriculture Peak Coincidence Factor = 0.0001308
ALGORITHM VARIABLES:
Table 457. Wattage of Standard and HVLS Fans Based on Fan Diameter
Fan Diameter (ft.) WBase WBase
16-17.99 761 4497
18-19.99 850 5026
20-23.99 940 5555
24+ 1119 6613
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VARIABLE SOURCES:
Table 458. High-Volume, Low-Speed Fans Algorithm Sources
Algorithm Inputs Algorithm Sources
WBase IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
WHVLS IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
Hours Default of 2,099 hours. Alliant's Global Energy Partners impact calculations in DSM Tracking, 2006, and is in agreement with IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
NFans Entered from application form.
CF Inferred from the 2011 Assessment of Potential.
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Ventilation: High-Efficiency Ventilation System
Measure Description Installation of ventilation systems equipped with high-efficiency fan and motor combinations keep livestock comfortable.
Fuel Electric
End Use Ventilation
Baseline Equipment Standard fans used to circulate air in agricultural applications.
Efficiency Qualification
-Must have a CFM/Watt greater than or equal to those specified in Table 459. -Fan-motor combinations must also be tested by: AMCA or BESS lab at the University of Illinois. -Must be wired for 208- or 240-volt service. -Fans motors must be at 0.05 static pressure.
Required Rebate Application Inputs
-Fan diameter (in inches). -Existing conditions (with or without existing thermostat control). -Number of fans installed or controlled.
Market Opportunity Replacement on Burnout; Early Replacement
Sector(s) Agriculture
Program Agriculture Prescriptive Rebates
ANNUAL ENERGY SAVINGS ALGORITHM: Electric Savings kWh—High-Efficiency Ventilation System—Fan Only
Where: VentilationSavings = Annual per unit savings, depending on fan size = See Table 460
Nunits = Number of efficient fans installed ANNUAL ENERGY DEMAND ALGORITHM: Electric Demand Savings Peak kW— High-Efficiency Ventilation System—Fan Only
Where: Annual kWh = Annual kWh savings from efficient circulating fans = Calculated
CF = Agriculture Peak Coincidence Factor = 0.0001308 ALGORITHM VARIABLES:
Table 459. CFM/Watt Requirements for Qualifying Ventilation Systems
Fan Diameter (in.) IPL Minimum Efficiency (CMF/Watt)
14-23 10.1
24-35 13.5
36-47 17.4
48+ 20.3
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Table 460. Annual Savings from High-Efficiency Ventilation Systems
Facility Type Fan Size (inches)
kWh/unit VentilationSavings
Baseline with Tstat Baseline without Tstat
All applications including: Sow House, Nursery, Finish House, Stall Barn, Cross-Ventilated of Free Stall Barn
14-23 325 533
24-35 578 766
36-47 693 917
48+ 1,121 1,484
VARIABLE SOURCES:
Table 461. High-Efficiency Ventilation System Algorithm Sources
Algorithm Inputs Algorithm Sources
Table 459. CFM/Watt Requirements for Qualifying Ventilation Systems
Based on the average of fans with efficiencies and CFM from University of Illinois BESS Labs database (1,014 products), data download August 2013: http://bess.illinois.edu/
VentilationSavings
Analysis based the average of fans with efficiencies and CFM from University of Illinois BESS Labs database (1,014 products), data download August 2013: http://bess.illinois.edu/ and IPL Energy Efficiency Programs 2009 Evaluation, KEMA, Appendix F Program Evaluations Group 1, Vol 2.
CF Inferred from the 2011 Assessment of Potential.
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Appendix A: Peak Coincidence Factors Peak Coincidence Factors for different sectors, building types, fuel type, and end use, inferred from IPL 2011
Assessment of Potential, are presented in the following table.
Table A-1. Peak Coincidence Factors
Sector Building Groups Building Types Fuel End Use Peak Coincidence
Factor
Nonresidential All Commercial All Commercial Electric Cooking 0.0001687
Nonresidential All Commercial All Commercial Electric Cooling Chillers 0.0005260
Nonresidential All Commercial All Commercial Electric Cooling AC 0.0005400
Nonresidential All Commercial All Commercial Electric Ext Lighting 0.0002060
Nonresidential All Commercial All Commercial Electric Heat Pump 0.0001594
Nonresidential All Commercial All Commercial Electric HVAC Aux 0.0001797
Nonresidential All Commercial All Commercial Electric Lighting 0.0002080
Nonresidential All Commercial All Commercial Electric Other Plug Load 0.0001613
Nonresidential All Commercial All Commercial Electric Refrigeration 0.0001480
Nonresidential All Commercial All Commercial Electric Space Heat -
Nonresidential All Commercial All Commercial Electric Water Heat 0.0002063
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Cooking 0.0001732
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Cooling Chillers 0.0003599
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Cooling AC 0.0003599
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Ext Lighting 0.0001766
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Heat Pump 0.0001650
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric HVAC Aux 0.0001404
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Lighting 0.0001580
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Other Plug Load 0.0001613
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Refrigeration 0.0001480
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Space Heat -
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Electric Water Heat 0.0001375
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Cooking 0.0001293
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Cooling Chillers 0.0004366
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Cooling AC 0.0007296
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Ext Lighting 0.0000998
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Heat Pump 0.0001651
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric HVAC Aux 0.0002287
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Lighting 0.0001487
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Sector Building Groups Building Types Fuel End Use Peak Coincidence
Factor
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Other Plug Load 0.0001505
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Refrigeration 0.0001480
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Space Heat -
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Electric Water Heat 0.0001351
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Cooking 0.0001924
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Cooling Chillers 0.0006735
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Cooling AC 0.0006628
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Ext Lighting 0.0002295
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Heat Pump 0.0001642
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric HVAC Aux 0.0001828
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Lighting 0.0002308
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Other Plug Load 0.0001613
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Refrigeration 0.0001480
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Space Heat -
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Electric Water Heat 0.0002425
Nonresidential Group 4 Education, Office, and Retail
Electric Cooking 0.0001242
Nonresidential Group 4 Education, Office and Retail
Electric Cooling Chillers 0.0004997
Nonresidential Group 4 Education, Office, and Retail
Electric Cooling AC 0.0005139
Nonresidential Group 4 Education, Office, and Retail
Electric Ext Lighting 0.0001938
Nonresidential Group 4 Education, Office, and Retail
Electric Heat Pump 0.0001449
Nonresidential Group 4 Education, Office, and Retail
Electric HVAC Aux 0.0001905
Nonresidential Group 4 Education, Office, and Retail
Electric Lighting 0.0001962
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Sector Building Groups Building Types Fuel End Use Peak Coincidence
Factor
Nonresidential Group 4 Education, Office, and Retail
Electric Other Plug Load 0.0001613
Nonresidential Group 4 Education, Office, and Retail
Electric Refrigeration 0.0001480
Nonresidential Group 4 Education, Office, and Retail
Electric Space Heat -
Nonresidential Group 4 Education, Office, and Retail
Electric Water Heat 0.0002208
Nonresidential Group 5 Industrial Electric Cooking 0.0001308
Nonresidential Group 5 Industrial Electric Cooling Chillers 0.0001308
Nonresidential Group 5 Industrial Electric Cooling AC 0.0001308
Nonresidential Group 5 Industrial Electric Ext Lighting 0.0001308
Nonresidential Group 5 Industrial Electric Heat Pump 0.0001308
Nonresidential Group 5 Industrial Electric HVAC Aux 0.0001308
Nonresidential Group 5 Industrial Electric Lighting 0.0001308
Nonresidential Group 5 Industrial Electric Other Plug Load 0.0001308
Nonresidential Group 5 Industrial Electric Refrigeration 0.0001308
Nonresidential Group 5 Industrial Electric Space Heat -
Nonresidential Group 5 Industrial Electric Water Heat 0.0001308
Nonresidential Group 6 Agriculture Electric Cooking 0.0001308
Nonresidential Group 6 Agriculture Electric Cooling Chillers 0.0001308
Nonresidential Group 6 Agriculture Electric Cooling AC 0.0001308
Nonresidential Group 6 Agriculture Electric Ext Lighting 0.0001308
Nonresidential Group 6 Agriculture Electric Heat Pump 0.0001308
Nonresidential Group 6 Agriculture Electric HVAC Aux 0.0001308
Nonresidential Group 6 Agriculture Electric Lighting 0.0001308
Nonresidential Group 6 Agriculture Electric Other Plug Load 0.0001308
Nonresidential Group 6 Agriculture Electric Refrigeration 0.0001308
Nonresidential Group 6 Agriculture Electric Space Heat -
Nonresidential Group 6 Agriculture Electric Water Heat 0.0001308
Residential All Residential All Residential Electric Central Heat -
Residential All Residential All Residential Electric Cooling 0.001005
Residential All Residential All Residential Electric Heat Pump 0.000179
Residential All Residential All Residential Electric Lighting 0.000068
Residential All Residential All Residential Electric Plug Load 0.000114
Residential All Residential All Residential Electric Vent 0.000467
Residential All Residential All Residential Electric Water Heat 0.000099
Residential Manufactured Manufactured Electric Central Heat -
Residential Manufactured Manufactured Electric Cooling 0.000979
Residential Manufactured Manufactured Electric Heat Pump 0.000173
Residential Manufactured Manufactured Electric Lighting 0.000068
Residential Manufactured Manufactured Electric Plug Load 0.000115
Residential Manufactured Manufactured Electric Vent 0.000419
Residential Manufactured Manufactured Electric Water Heat 0.000100
Residential Multifamily Multifamily Electric Central Heat -
Residential Multifamily Multifamily Electric Cooling 0.000957
Residential Multifamily Multifamily Electric Heat Pump 0.000159
Residential Multifamily Multifamily Electric Lighting 0.000068
Residential Multifamily Multifamily Electric Plug Load 0.000114
Residential Multifamily Multifamily Electric Vent 0.000390
Residential Multifamily Multifamily Electric Water Heat 0.000100
Residential Single-family Single-family Electric Central Heat -
Residential Single-family Single-family Electric Cooling 0.001011
Residential Single-family Single-family Electric Heat Pump 0.000179
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Sector Building Groups Building Types Fuel End Use Peak Coincidence
Factor
Residential Single-family Single-family Electric Lighting 0.000068
Residential Single-family Single-family Electric Plug Load 0.000114
Residential Single-family Single-family Electric Vent 0.000477
Residential Single-family Single-family Electric Water Heat 0.000099
Nonresidential All Commercial All Commercial Gas Cooking 0.0025901
Nonresidential All Commercial All Commercial Gas Space Heat Boiler
0.0116388
Nonresidential All Commercial All Commercial Gas Space Heat Furnace
0.0088353
Nonresidential All Commercial All Commercial Gas Space Heat Other
0.0083131
Nonresidential All Commercial All Commercial Gas Water Heat 0.0006821
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Gas Cooking 0.0030737
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Gas Space Heat Boiler
0.0108340
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Gas Space Heat Furnace
0.0108340
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Gas Space Heat Other
0.0110816
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
Gas Water Heat 0.0006851
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Gas Cooking 0.0029377
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Gas Space Heat Boiler
0.0114922
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Gas Space Heat Furnace
0.0099541
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Gas Space Heat Other
0.0073946
Nonresidential Group 2 Lodging, Hospital, and Multifamily
Gas Water Heat 0.0017681
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Gas Cooking 0.0034549
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Gas Space Heat Boiler
0.0098081
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Gas Space Heat Furnace
0.0065453
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Gas Space Heat Other
0.0053412
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
Gas Water Heat 0.0006895
Nonresidential Group 4 Education, Office, and Retail
Gas Cooking 0.0005269
Nonresidential Group 4 Education, Office, and Retail
Gas Space Heat Boiler
0.0118434
Nonresidential Group 4 Education, Office, and Retail
Gas Space Heat Furnace
0.0114418
Nonresidential Group 4 Education, Office, and Retail
Gas Space Heat Other
0.0104525
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Sector Building Groups Building Types Fuel End Use Peak Coincidence
Factor
Nonresidential Group 4 Education, Office, and Retail
Gas Water Heat 0.0005778
Nonresidential Group 5 Industrial Gas Cooking -
Nonresidential Group 5 Industrial Gas Space Heat Boiler
-
Nonresidential Group 5 Industrial Gas Space Heat Furnace
-
Nonresidential Group 5 Industrial Gas Space Heat Other
-
Nonresidential Group 5 Industrial Gas Water Heat -
Nonresidential Group 6 Agriculture Gas Cooking -
Nonresidential Group 6 Agriculture Gas Space Heat Boiler
-
Nonresidential Group 6 Agriculture Gas Space Heat Furnace
-
Nonresidential Group 6 Agriculture Gas Space Heat Other
-
Nonresidential Group 6 Agriculture Gas Water Heat -
Residential All Residential All Residential Gas Central Heat 0.009615
Residential All Residential All Residential Gas Cooling -
Residential All Residential All Residential Gas Heat Pump 0.006567
Residential All Residential All Residential Gas Lighting 0.002850
Residential All Residential All Residential Gas Plug Load 0.002939
Residential All Residential All Residential Gas Vent 0.004167
Residential All Residential All Residential Gas Water Heat 0.002909
Residential Manufactured Manufactured Gas Central Heat 0.009348
Residential Manufactured Manufactured Gas Cooling -
Residential Manufactured Manufactured Gas Heat Pump 0.006564
Residential Manufactured Manufactured Gas Lighting 0.002851
Residential Manufactured Manufactured Gas Plug Load 0.002894
Residential Manufactured Manufactured Gas Vent 0.004443
Residential Manufactured Manufactured Gas Water Heat 0.002908
Residential Multifamily Multifamily Gas Central Heat 0.009032
Residential Multifamily Multifamily Gas Cooling -
Residential Multifamily Multifamily Gas Heat Pump 0.006621
Residential Multifamily Multifamily Gas Lighting 0.002853
Residential Multifamily Multifamily Gas Plug Load 0.002938
Residential Multifamily Multifamily Gas Vent 0.004320
Residential Multifamily Multifamily Gas Water Heat 0.002906
Residential Single-family Single-family Gas Central Heat 0.009703
Residential Single-family Single-family Gas Cooling -
Residential Single-family Single-family Gas Heat Pump 0.006567
Residential Single-family Single-family Gas Lighting 0.002849
Residential Single-family Single-family Gas Plug Load 0.002946
Residential Single-family Single-family Gas Vent 0.004138
Residential Single-family Single-family Gas Water Heat 0.002910
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Appendix B: Equivalent Full Load Hours EFLH of HVAC Equipment for different sectors, building types, and end use (equipment type)—inferred from IPL
2011 Assessment of Potential—are presented in the table below.
Table B-1. Equivalent Full Load Hours of HVAC Equipment
Sector Building Groups Building Types Vintage End Use Equivalent Full
Load Hours
Nonresidential All Commercial All Commercial – Boiler 1,227
Nonresidential All Commercial All Commercial – Cooling Chillers 1,053
Nonresidential All Commercial All Commercial – Cooling AC 791
Nonresidential All Commercial All Commercial – Furnace 1,097
Nonresidential All Commercial All Commercial – Heat Pump—Cooling 691
Nonresidential All Commercial All Commercial – Heat Pump—Heating 478
Nonresidential All Commercial All Commercial – Space Heat 1,112
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Boiler 1,001
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Cooling Chillers 1,361
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Cooling AC 1,022
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Furnace 895
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Heat Pump—Cooling 995
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Heat Pump—Heating 471
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant
– Space Heat 842
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Boiler 1,561
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Cooling Chillers 1,223
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Cooling AC 807
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Furnace 855
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Heat Pump—Cooling 1,006
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Heat Pump—Heating 610
Nonresidential Group 2 Lodging, Hospital, and Multifamily
– Space Heat 738
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Boiler 1,050
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Cooling Chillers 579
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Cooling AC 593
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Furnace 992
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Sector Building Groups Building Types Vintage End Use Equivalent Full
Load Hours
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Heat Pump—Cooling 567
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Heat Pump—Heating 396
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial
– Space Heat 1,035
Nonresidential Group 4 Education, Office, and Retail
– Boiler 1,191
Nonresidential Group 4 Education, Office, and Retail
– Cooling Chillers 1,154
Nonresidential Group 4 Education, Office, and Retail
– Cooling AC 851
Nonresidential Group 4 Education, Office, and Retail
– Furnace 1,196
Nonresidential Group 4 Education, Office, and Retail
– Heat Pump—Cooling 600
Nonresidential Group 4 Education, Office, and Retail
– Heat Pump—Heating 588
Nonresidential Group 4 Education, Office, and Retail
– Space Heat 1,193
Nonresidential Group 5 Industrial – Boiler 1,227
Nonresidential Group 5 Industrial – Cooling Chillers 1,053
Nonresidential Group 5 Industrial – Cooling AC 791
Nonresidential Group 5 Industrial – Furnace 1,097
Nonresidential Group 5 Industrial – Heat Pump—Cooling 691
Nonresidential Group 5 Industrial – Heat Pump—Heating 478
Nonresidential Group 5 Industrial – Space Heat 1,112
Nonresidential Group 6 Agriculture – Boiler 1,227
Nonresidential Group 6 Agriculture – Cooling Chillers 1,053
Nonresidential Group 6 Agriculture – Cooling AC 791
Nonresidential Group 6 Agriculture – Furnace 1,097
Nonresidential Group 6 Agriculture – Heat Pump—Cooling 691
Nonresidential Group 6 Agriculture – Heat Pump—Heating 478
Nonresidential Group 6 Agriculture – Space Heat 1,112
Residential All Residential All Residential All Residential Cool Central 794
Residential All Residential All Residential All Residential Heat Central Boiler 689
Residential All Residential All Residential All Residential Heat Central Furnace 603
Residential All Residential All Residential All Residential Heat Pump 794
Residential All Residential All Residential All Residential Room AC 292
Residential All Residential All Residential All Residential Supplemental—Cooling 238
Residential All Residential All Residential All Residential Supplemental—Heating 1,588
Residential Manufactured Manufactured Existing Cool Central 764
Residential Manufactured Manufactured New Cool Central 449
Residential Manufactured Manufactured Existing Heat Central Boiler 714
Residential Manufactured Manufactured New Heat Central Boiler 465
Residential Manufactured Manufactured Existing Heat Central Furnace 627
Residential Manufactured Manufactured New Heat Central Furnace 452
Residential Manufactured Manufactured Existing Heat Pump—Cooling 764
Residential Manufactured Manufactured New Heat Pump—Cooling 449
Residential Manufactured Manufactured Existing Heat Pump—Heating 2,401
Residential Manufactured Manufactured New Heat Pump—Heating 2,019
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Sector Building Groups Building Types Vintage End Use Equivalent Full
Load Hours
Residential Manufactured Manufactured Existing Room AC 292
Residential Manufactured Manufactured New Room AC 292
Residential Manufactured Manufactured Existing Supplemental—Cooling 229
Residential Manufactured Manufactured New Supplemental—Cooling 135
Residential Manufactured Manufactured Existing Supplemental—Heating 1,681
Residential Manufactured Manufactured New Supplemental—Heating 1,413
Residential Multifamily Multifamily Existing Cool Central 650
Residential Multifamily Multifamily New Cool Central 445
Residential Multifamily Multifamily Existing Heat Central Boiler 738
Residential Multifamily Multifamily New Heat Central Boiler 606
Residential Multifamily Multifamily Existing Heat Central Furnace 520
Residential Multifamily Multifamily New Heat Central Furnace 371
Residential Multifamily Multifamily Existing Heat Pump—Cooling 650
Residential Multifamily Multifamily New Heat Pump—Cooling 445
Residential Multifamily Multifamily Existing Heat Pump—Heating 1,846
Residential Multifamily Multifamily New Heat Pump—Heating 1,561
Residential Multifamily Multifamily Existing Room AC 292
Residential Multifamily Multifamily New Room AC 292
Residential Multifamily Multifamily Existing Supplemental—Cooling 195
Residential Multifamily Multifamily New Supplemental—Cooling 133
Residential Multifamily Multifamily Existing Supplemental—Heating 1,292
Residential Multifamily Multifamily New Supplemental—Heating 1,093
Residential Single-family Single-family Existing Cool Central 811
Residential Single-family Single-family New Cool Central 484
Residential Single-family Single-family Existing Heat Central Boiler 686
Residential Single-family Single-family New Heat Central Boiler 630
Residential Single-family Single-family Existing Heat Central Furnace 612
Residential Single-family Single-family New Heat Central Furnace 532
Residential Single-family Single-family Existing Heat Pump—Cooling 811
Residential Single-family Single-family New Heat Pump—Cooling 484
Residential Single-family Single-family Existing Heat Pump—Heating 2,272
Residential Single-family Single-family New Heat Pump—Heating 2,160
Residential Single-family Single-family Existing Room AC 292
Residential Single-family Single-family New Room AC 292
Residential Single-family Single-family Existing Supplemental—Cooling 243
Residential Single-family Single-family New Supplemental—Cooling 145
Residential Single-family Single-family Existing Supplemental—Heating 1,590
Residential Single-family Single-family New Supplemental—Heating 1,512
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Appendix C: Lighting Hours of Operation
Table C-1. Annual Lighting Hours of Operation by Building Group
Sector Building Groups* Building Types Hours of Operation
Nonresidential All Commercial All Commercial 3,806
Nonresidential Exterior Lighting All Commercial 4,000
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant 5,211
Nonresidential Group 2 Lodging, Hospital, and Multifamily 5,126
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial 3,824
Nonresidential Group 4 Education, Office, and Retail 3,310
Nonresidential Group 5 Industrial 6,000
Nonresidential Group 6 Agriculture 4,500
Residential All Residential All Residential 985
Residential Exterior Lighting All Residential 1,424
*Groups weighted by sales data from IPL reference to 2011 Assessment of Potential.
Table C-2. Annual Lighting Hours of Operation by Building Type
IUA Building Types Hours of Operation
Education 2,600
Convenience 5,500
Grocery 5,500
Hospital 6,500
Health 4,000
Lodging 4,900
Warehouse 3,900
Large Office 3,200
Small Office 3,200
Restaurant 4,350
Large Retail 3,800
Small Retail 3,800
Other Commercial 3,700
Industrial 6,000
Agriculture 4,500
Exterior Lighting 4,000
Residential—Indoor 985
Residential—Outdoor 1,424 Average of comparison table from CBECS 2003 Region 2-Division 4, CLEAResult Small Business IPL 2013 Assumptions, PA TRM
2013, MidAtlantic TRM 2013, Northwest Power Planning Council, the 6th Plan, IN TRM 2013. Results rounded. Industrial hours
assume 7-day per week/16-hour per day based on LBNL: Emerging Energy-Efficient Industrial Technologies Report, 2000.
Agriculture hours based on conversations with Dave Warrington at IPL and other references documents from IPL's pervious
EEPs. Residential lighting hours of operation is based on WECC documentation provided to IPL on 12/24/2013.
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Appendix D: Nonresidential Hot Water Usage Table D-1. Annual Hot Water Usage by Building Group
Sector Building Groups* Building Types Fuel Usage [Gal/Gal]**
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant Electric 825
Nonresidential Group 2 Lodging, Hospital, and Multifamily Electric 562
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial Electric 456
Nonresidential Group 4 Education, Office, and Retail Electric 566
Nonresidential Group 5 Industrial Electric 628
Nonresidential Group 6 Agriculture Electric 628
Nonresidential All Commercial All Commercial Electric 628
Nonresidential Group 1 Grocery, Convenience Store, and Restaurant Gas 803
Nonresidential Group 2 Lodging, Hospital, and Multifamily Gas 630
Nonresidential Group 3 Health Clinic, Church, Warehouse, and Other Commercial Gas 433
Nonresidential Group 4 Education, Office, and Retail Gas 594
Nonresidential Group 5 Industrial Gas 558
Nonresidential Group 6 Agriculture Gas 558
Nonresidential All Commercial All Commercial Gas 558
*Groups weighted by sales data from IPL reference to 2011 Assessment of Potential.
** Usage is annual hot water gallon use per gallon of installed water heater capacity.
Table D-2. Annual Hot Water Usage by Building Type
Building Type Annual Hot Water Usage in Gallons Annual Hot Water Gallons
per Tank Size Gallons
Convenience 11,593 681
Education 170,829 568
Grocery 75,818 681
Health 494,352 788
Large Office 254,575 511
Large Retail 53,519 681
Lodging 1,438,204 1,022
Restaurant 94,793 867
Small Office 4,891 511
Small Retail 26,230 681
Warehouse 29,233 681
Other Commercial 32,675 341
Annual hot water usage in gallons is based on CBECS (2003) consumption data of West North Central (removed outliers of 1,000
kBtuh or less) to calculate hot water usage. Annual hot water gallons per tank size gallons is based on the tank sizing
methodology found in ASHRAE 2011 HVAC Applications. Chapter 50 Service Water Heating. Demand assumptions (gallons per
day) for each building type based on ASHRAE Chapter 50 and to LBNL White Paper. LBL-37398 Technology Data Characterizing
Water Heating in Commercial Buildings: Application to End Use Forecasting.
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Appendix E: Effective Useful Life of Measures Table E-1. Residential Prescriptive Rebate Program
End Use Measure Name EUL Sources
HVAC Central Air Conditioners
15 DEER, Summary of EUL Analysis, April 2008.
HVAC Desuperheater 10 Phone Calls to HVAC contractors, July 11, 2007.
HVAC Door 20 Scandinavian Windows and Doors; http://www.scandinavian-windows.co.uk/products.asp?MenuSystemID=1; (life is longer; reduced for model).
HVAC ECM 20
Codes and Standards Enhancement Initiative For PY2004: Title 20 Standards Development for PG&E. Source reference DOE 2002 and Appliance, 58, 9, September 2001: http://www.energy.ca.gov/appliances/2003rulemaking/documents/case_studies/CASE_Residential_Air_Handlr.pdf; also assume similar as Heat Central; DEER, Summary of EUL Analysis, April 2008.
HVAC Furnace 20 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure life for the measure High Efficiency Furnace.
HVAC Heat Exchanger 10 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Heat Pump—Air Source
18 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Heat Pump—Geothermal
18 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Heat Pump—MiniSplit 18 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC HVAC System Tune-Up 3 Engineering judgment and used in previous studies. Range from one year to five years.
HVAC Programmable Thermostat
15
"Rebuilding For Efficiency: Improving the Energy Use of Reconstructed Residences in South Florida." Prepared for U.S. Department of Energy, Florida Energy Office, and Florida Power & Light Company, FSEC-CR-562-92, December 1992.
HVAC Room AC 9 DEER, Summary of EUL Analysis, April 2008. HVAC Whole-House Fan 20 DEER, Summary of EUL Analysis, April 2008. Water Heat Water Heater 13 DEER, Summary of EUL Analysis, April 2008.
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Table E-2. Nonresidential Prescriptive Rebate Program
End Use Measure Name EUL Sources
Appliance Clothes Washer 7 RTF workbook; Commercial: Appliances—Clothes Washers: http://rtf.nwcouncil.org/measures/measure.asp?id=90
Appliance Commercial Dishwasher
11 DEER, Summary of EUL Analysis, April 2008.
Cooking Broiler 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Convection Oven 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Conveyor Oven 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Fryer 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Griddle 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Rotating Rack Oven
12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Rotisserie Oven 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Cooking Steam Cooker 12 Energy Efficiency Policy Manual Version 2. By CPUC Energy Division, August 2003. Measure life for Cooking Equipment. Pg. 18.
Hotel KeyCards 15
Guest Room Occupancy Controls (2013 California Building Energy Efficiency Standards); pg. 9 (based on 2013 CEC LCC methodology): http://www.energy.ca.gov/title24/2013standards/prerulemaking/documents/current/Reports/Nonresidential/Lighting_Controls_Bldg_Power/2013_CASE_NR_Guest_Room_Occupancy_Controls_Oct_2011.pdf
HVAC Air Conditioning 15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure: Air Conditioners/Heat Pumps (split and unitary).
HVAC Boiler 20 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure Life for the measure High-Efficiency Boiler.
HVAC Boiler Vent Damper
12 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Chiller 20 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure Life for the measure High-Efficiency Chillers.
HVAC Chiller Pipe Insulation
15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Duct Insulation 20 DEER, Summary of EUL Analysis, April 2008.
HVAC Duct Sealing and Repair
18 DEER, Summary of EUL Analysis, April 2008.
HVAC ECM Fan 15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure Life for the measure HVAC Fan Motors.
HVAC Furnace 20 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure life for the measure High Efficiency Furnace.
HVAC Heat Pump—Air Source
15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure Life for the measure High-Efficiency Heat Pump.
HVAC Heat Pump—Geothermal (Ground Source)
15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure Life for the measure High-Efficiency Heat Pump.
HVAC Programmable 15 ENERGY STAR Lifecycle Cost Estimate for Programmable
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End Use Measure Name EUL Sources
Thermostat Thermostat(s): http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/CalculatorProgrammableThermostat.xls
HVAC Tune-Up 3 Typical: Engineering judgment and reviewed/used in previous studies. Trane says one year; other reports state up to five years.
Lighting Bi-Level Control 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting Daylighting Controls
14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for HID (interior and exterior).
Lighting HE Metal Halide 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting HID Delamping 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for fluorescent Fixture.
Lighting High Bay 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting HPT8-RWT8 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting Induction Lamps 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for HID (interior and exterior).
Lighting LED Exit Sign 10 ENERGY STAR LED exit signs technical sheet: http://www.energystar.gov/ia/business/small_business/led_exitsigns_techsheet.pdf
Lighting LED Refrig Case Light
14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting LED & CFL Fixtures
14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting LEDs & CFLs 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting MH Lamp Replacement
14 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new
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End Use Measure Name EUL Sources
construction (15 years) for Fluorescent Fixture.
Lighting Occupancy Sensor 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting Time Clock Control
14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting Traffic Lights 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for HID (interior and exterior).
Lighting T8-T12 Delamping 15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Motor Enhanced (Ultra-PE)
15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure life for the measure HVAC Fan Motors.
Motor VFDs 15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure life for the measure HVAC Fan Motors.
Office Computers 4
Efficiency Improvements in U.S. Office Equipment: Expected Policy Impacts and Uncertainties. Jonathan G. Koomey, Michael Cramer, MaryAnn Piette, and Joseph H. Eto. Ernest Orlando, LBNL. December 1995. LBNL-37383.
Office Network Mgmt 5 Northwest Power Planning Council, 6th Plan.
Office Server 9
Efficiency Improvements in U.S. Office Equipment: Expected Policy Impacts and Uncertainties. Jonathan G. Koomey, Michael Cramer, MaryAnn Piette, and Joseph H. Eto. Ernest Orlando Lawrence Berkeley National Laboratory. December 1995. LBNL-37383.
Pool Covers Pool-Spa 6
Illinois TRM v 2.0 (June, 2013); The effective useful life of a pool cover is typically one year longer than its warranty period. SolaPool Covers. Pool Covers Website, FAQ: "How long will my SolaPool cover blanket last?" Pool covers are typically offered with three- and five-year warranties with at least one company offering a six-year warranty. Conversation with Trade Ally. Knorr Systems
Refrigeration Anti-Sweat Ctrls 12 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values.
Refrigeration ECM Display Cases
12 Similar to other case life times. PECI program experience by store size (small, medium, and large). NW 6th Power Plan.
Refrigeration ECM Walk-Ins 15 DEER 2005/CALMAC Report, September 2000.
Refrigeration Evap Fan Control 15 Efficiency Vermont Technical Reference User Manual (August 2013), pg. 151.
Refrigeration Glass Refg Freez 12 ENERGY STAR, FSTC research on available models, 2009
Refrigeration Night Covers 10 Econofrost FAQ webpage; http://www.econofrost.com/info/faq
Refrigeration Scroll Compressor 13 Efficiency Maine: Technical Reference User Manual No. 2007-1 Measure Savings Algorithms and Cost Assumptions, pg. 69.
Refrigeration Solid Refg Freez 12 ENERGY STAR Refrigerator savings calculator and ENERGY STAR Freezer savings calculator.
Refrigeration Strip Curtains 4 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007 and previous studies.
Refrigeration Vending Controls 20 RTF workpaper; Commercial: Grocery—Vending Machine Controller: http://rtf.nwcouncil.org/measures/measure.asp?id=167
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End Use Measure Name EUL Sources
Refrigeration Vending Machine 10
Final Rule Technical Support Document (TSD): Energy Efficiency Standards for Commercial and Industrial Equipment: Refrigerated Bottled or Canned Beverage Vending Machines. Chapter 8: Life-Cycle Cost and Payback Period Analysis. Pg. 20.
Shell FoundationWall Insulation
25 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007: http://www.ctsavesenergy.org/files/Measure Life Report 2007.pdf
Shell Infiltration Control
13 Engineering judgment; Measure life for infiltration control is assumed to be half of the measure life of insulation measure.
Shell Insulated Doors 20 Scandinavian Windows and Doors; http://www.scandinavian-windows.co.uk/products.asp?MenuSystemID=1; (life is longer; reduced for model).
Shell Roof Insulation 25 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Shell Wall Insulation 25 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Water Heat Condensing WH 13 Residential Heating Products Final Rule TSD. Chapter 8: Life-Cycle Cost and Payback Period Analyses. Pg. 13.
Water Heat Desuperheater 10 Phone calls to HVAC contractors, July 11, 2007.
Water Heat Drainwater Recovery
40 ReTherm Manufacturers Rated Life.
Water Heat Water Heater 13 Residential Heating Products Final Rule TSD. Chapter 8: Life-Cycle Cost and Payback Period Analyses. Pg. 13.
HVAC Package Terminal AC-HP: AC
15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure: Air Conditioners/Heat Pumps (split and unitary); assuming no measure life differences between PTACs and AC units.
HVAC Package Terminal AC-HP: HP
15 DEER 2008 EUL/RUL (Effective/Remaining Useful Life) Values. Measure life for the measure High-Efficiency Heat Pump (Assuming no lifetime differences between HP and PTHP).
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Table E-3. Business Assessment Program
End Use Measure Name EUL Sources
HVAC Programmable Thermostat
15
ENERGY STAR Lifecycle Cost Estimate for Programmable Thermostat(s): http://www.energystar.gov/ia/business/bulk_purchasing/bpsavings_calc/CalculatorProgrammableThermostat.xls
Lighting CFLs 2 Engineering calculation.
Lighting LED Exit Signs 10 ENERGY STAR LED exit signs technical sheet: http://www.energystar.gov/ia/business/small_business/led_exitsigns_techsheet.pdf
Refrigeration Vending Controls
20 RTF workpaper; Commercial: Grocery—Vending Machine Controller: http://rtf.nwcouncil.org/measures/measure.asp?id=167
Water Heat Faucet Aerator 10 DEER, Summary of EUL Analysis, April 2008.
Water Heat Low-Flow Showerhead
10 DEER, Summary of EUL Analysis, April 2008.
Water Heat Pre Rinse Sprayer Valve
5 Delaware Technical Resource Manual, April 2012. pg. 320.
Water Heat Water Heater Pipe Insulation
13 DEER, Summary of EUL Analysis, April 2008.
Water Heat Water Heater Temp Setback
4 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
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Table E-4. Agriculture Prescriptive Rebates Program
End Use Measure Name EUL Sources
Agriculture-Specific
Grain Dryers 20 Engineering judgment.
Agriculture-Specific
Livestock Waterers
10 Engineering judgment.
Agriculture-Specific
Low Pressure Irrigation
25
Economics of Irrigation Systems (Appendix Table 2A); ArgiLIFE Extension Texas A&M System: http://amarillo.tamu.edu/files/2011/10/Irrigation-Bulletin-FINAL-B6113.pdf
Dairy Equipment
Automatic Milker Takeoff
15 Engineering judgment.
Dairy Equipment
Dairy Scroll Compressor
20 Efficiency Maine: Technical Reference User Manual No. 2007-1 Measure Savings Algorithms and Cost Assumptions, pg. 85.
Dairy Equipment
Heat Reclaimer 15 Engineering judgment.
Dairy Equipment
Milk Precooler—Dairy Plate Cooler
15 DEER.
Dairy Equipment
Variable-Speed Drives for Dairy Vacuum Pumps/Milking Machines
15 DEER.
HVAC Air Source Heat Pumps
18 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
HVAC Geothermal Heat Pumps
18 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting CFLs/LEDs 2 Engineering Calculation (Cadmus).
Lighting CFLs/LEDs 11 Engineering Calculation (Cadmus).
Lighting HE Metal Halide 15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting Heat Lamps 10 Engineering judgment.
Lighting HID Delamping 14
Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Lighting High-Bay 15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting HTP8-RWT8 15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting Induction Lamps 2 DEER.
Lighting LED Exit Sign 10 ENERGY STAR LED exit signs technical sheet: http://www.energystar.gov/ia/business/small_business/led_exitsigns_techsheet.pdf
Lighting MH Lamp Replacement
15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting T8-T12 Delamping
15 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007.
Lighting Time Clock Control
14 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. Measure life reflects
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End Use Measure Name EUL Sources
the average between retrofit (13 years) and new construction (15 years) for Fluorescent Fixture.
Motors Motors
Motors Variable-Speed/Frequency Drive
10 Council data.
Ventilation Circulating Fans 10 Engineering judgment.
Ventilation High Volume Low Speed Fans
25
Engineering judgment. HVLS fan manufacturers offer warranties that vary from 3 to 12 years for service life—based on this, measure life is assumed to be 15 years. (HVAC for Large Spaces: The Sustainable Benefits of HVLS (High Volume/Low Speed) Fans; McGraw Hill Construction: http://continuingeducation.construction.com/article_print.php?L=193&C=635)
Ventilation High-Efficiency Ventilation System
10 OPA Quasi-Prescriptive Measure Data.
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Appendix F: Revision History Program End Use Measure Name Date Description of Change