jump_integrating mandv into ebcx

8/12/2019 Jump_Integrating MandV Into EBCx

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Integrating Measurement & Verification inExisting Building Commissioning Projects

IPMVP Options B and C

David Jump, Ph.D., P.E.Principal

Quantum Energy Services & Technologies, Inc. (QuEST)

www.quest-world.com


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Presentation Overview

This presentation will discuss:Need for M&V in EBCx projectsCCCs Verification of Savings Guideline M&V Methodology & ApproachOverlap with EBCx projectsProcedure

Case Studies


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Benefits of EBCx

Indoor air qualityThermal comfort

Equipment reliabilityEquipment MaintenanceMore

Most quantifiable benefit: Energy Savings


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Need for M&V in EBCx

EBCx Energy SavingsTypically ~5% of whole building energy use

Cannot see at main meters Based on data collected before improvementsmade

Called ex -ante savings estimates

No standard calculation methodologies for ex-antesavings


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Ex-Ante Savings Calculations

Air Speed IGV Power AnnualVolume Power Energy

Flow Rate Ratio UseProfile [Note 1]

% % % kW kWh/Yr 100% 100% 109% 12.8 5198% 100% 105% 12.3 7496% 100% 102% 12.0 9694% 100% 99% 11.6 26792% 100% 96% 11.3 36291% 100% 93% 10.9 43689% 100% 90% 10.6 24487% 100% 87% 10.2 60285% 100% 85% 10.0 75083% 100% 84% 9.9 78281% 100% 83% 9.7 1,35879% 100% 81% 9.5 1,05577% 100% 80% 9.4 80875% 100% 78% 9.2 1,00374% 100% 77% 9.0 80172% 100% 76% 8.9 45470% 100% 74% 8.7 83568% 100% 73% 8.6 77466% 100% 73% 8.6 69764% 100% 71% 8.3 1,21262% 100% 70% 8.2 86960% 100% 69% 8.1 1,01358% 100% 68% 8.0 1,048

57% 100% 67% 7.9 94055% 100% 66% 7.8 56253% 100% 65% 7.6 1,28451% 100% 65% 7.6 95850% 100% 65% 7.6 1,04150% 100% 65% 7.6 1,46750% 100% 65% 7.6 63150% 100% 65% 7.6 50950% 100% 65% 7.6 45650% 100% 65% 7.6 31950% 100% 65% 7.6 15250% 100% 65% 7.6 12250% 100% 65% 7.6 122

50% 100% 65% 7.6 8450% 100% 65% 7.6 12250% 100% 65% 7.6 23

12.8 24,379

w/ IGVBaseline Operation

A

Air Speed VFD Power AnnualVolume w/ VFD Power w/ VFD Energy

Flow Rate Modulation Ratio Modulation UseProfile [Note 2]

% % % kW kWh/Yr 100% 89.3% 71% 9.1 3698% 87.6% 68% 8.4 5096% 85.9% 64% 7.7 6294% 84.2% 63% 7.3 16892% 82.6% 60% 6.8 21891% 80.9% 57% 6.2 24889% 79.2% 56% 5.9 13687% 77.5% 53% 5.4 31985% 75.8% 50% 5.0 37583% 74.1% 49% 4.9 387

81% 72.5% 46% 4.5 63079% 70.8% 44% 4.2 46677% 69.1% 43% 4.0 34475% 67.4% 40% 3.7 40374% 65.7% 38% 3.4 30372% 64.0% 37% 3.3 16870% 62.3% 34% 3.0 28868% 60.7% 32% 2.8 25266% 59.0% 30% 2.6 21164% 57.3% 28% 2.3 33662% 55.6% 26% 2.1 22360% 53.9% 24% 1.9 23858% 52.2% 23% 1.8 236

57% 50.5% 21% 1.7 20255% 48.9% 19% 1.5 10853% 47.2% 19% 1.4 23751% 45.5% 17% 1.3 16450% 44.7% 16% 1.2 16450% 44.7% 16% 1.2 23250% 44.7% 16% 1.2 10050% 44.7% 16% 1.2 8050% 44.7% 16% 1.2 7250% 44.7% 16% 1.2 5050% 44.7% 16% 1.2 2450% 44.7% 16% 1.2 1950% 44.7% 16% 1.2 19

50% 44.7% 16% 1.2 1350% 44.7% 16% 1.2 1950% 44.7% 16% 1.2 4

9.1 7,603

DProposed Operation

w/o IGV, w/ VFD High Limit & w/ VFD M odulation

Savings = 24,379 7,603 =16,776 kWh annually

(?)


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Data RequirementsIn example:

Trends of fan power and weather requiredSources:

Building automation systemIndependent loggersLocal weather stations

Data preparation requirements:Merge data setsPrepare analysis bins

Analysis

Model systemsMake assumptionsQA on result (reasonableness)

Savings calculation effort takes time, focus, & resourcesaway from commissioning the building!


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Need for M&V in EBCx

Need confidence that savings are realTyp. project cost: $20k to $100kOwners

Need assurance of return on investment

Utility programsNeed to justify expense of ratepayer moneys


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Confidence Expressed as Uncertainty

Less uncertainty = more confidence

Ex-ante savings:No way to determine savings uncertainty

e.g 16,776 kWh ???

Uncertainty may only be determined by:

Calculations using measurements of energy usebefore and after ECM installede.g. 16,776 839 kWh (10%)


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Methodology Overview

This methodology is based on:Continuously monitored building dataRegression-based energy modeling

Applied to:Whole buildingBuilding subsystems

Written for integration in EBCx projectsLarge overlap between M&V and EBCx processes


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Guideline - ContentsIntroductionGeneral Description of M&V ProcessM&V Approach

Required Resources Analysis MethodsMeasurement and Verification Process

Appendices

A: Empirical ModelsB: Uncertainty AnalysisC: Example M&V PlanD: Example Projects

How to design a

good M&V Plan


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Measurement & Verification -Graphical Concept

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kWh actual kWh baseline

Post-InstallationPeriod

BaselinePeriod

Adjusted Baseline

Measured energy use


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M&V - Basic Equation

Energy Savings = Baseline Energy Post-Installation Period Energy

Adjustments

Adjustments are:

Routine AdjustmentsNon-Routine Adjustments


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Routine Adjustments

Normal and expected variations in energy usedue to operating conditions, normal productions,etc.

Equation becomes:Energy Savings = Adjusted Baseline Energy

Post-Installation Period Energy Non-Routine Adjustments


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Non-Routine Adjustments

Energy use (or lack of) due to non-routine events, occupancy or equipmentchanges, etc.

Examples:Tenant moving in or out of a spaceChiller failure and replacementMajor renovation projectEtc.


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Focus of this GuidelineWhole Building (IPMVP Option C)

Short-term interval data from Utility or energyinformation systems (EIS)

Meters connected to EMCS and trendedIndividual building systems (IPMVP Option B)

EMCS trendsOther energy information system dataTemporary or permanently installed meters

2 different approaches, 1 method


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Scope of Cx ActivityIdentify purpose/goals of Cx activityDescribe roles of involved partiesIdentify systems included in Cx process

Planning Phase

Establish bldg. requirementsReview available info./ visit site / interviewoperatorsDevelop EBCx PlanDocument operation conditions

Investigation PhaseIdentify current building needsFacility performance analysisDiagnostic monitoring

System testingCreate list of findingsImplementation Phase

Prioritize recommendationsInstall/Implement recommendationsCommission RecommendationsDocument improved performance

Turnover PhaseUpdate building documentation

Develop final reportUpdate Systems ManualPlan ongoing commissioningProvide Training

Persistence PhaseMonitor and track energy useMonitor and track non-energy metricsTrend key system parametersDocument changesImplement persistence strategies

M&V Process EBCx ProcessBaseline Period

Define Scope of M&V Activity Identify purpose/goals of M&V activity Identify affected systems Design the M&V Process

Assess Project & Source of Savings Define Approach

Add points & collect data Energy and indep. variable (OAT, etc.) Bldg. level: gas pulse, steam meter, etc. Systems: Chiller kW, other var. loads

Document the baseline Equipment inventory and operations Develop baseline energy model

Assess baseline model Finalize and Document the M&V Plan

Post-Installation Period Verify proper performance Collect post-installation data Develop post-install model Verify savings at conclusion of EBCx

Develop Savings Report

Persistence Phase Verify continued equipment performance Establish energy tracking system Provide periodic savings reports

(Guideline p.2 )


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M&VApproach

VSD

VSD

kWh Meter

Gas Meter

Hot Water Plant Chilled Water Plant

Air Handling Unit

DHW

MCC

L

P

L

L

L

P

P

P

Lighting and

Plug Load

Men Women

Option C - WholeBuilding

Option B: Retrofit

Isolation (HVACSystems)

Selectmeasurementboundary

(Guideline p.9)


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Retrofit Isolation

Defining Systems - byServices provided

Chilled water system:

Chiller, CHW pumps, etc.

Air handling system:Supply fan, return fan,exhaust fan

Hot water system:Boiler, HW pumps

VSD

VSD CHW

Boiler

VSD

Chiller

Cooling Tower

CWPump

PCHWPump

SCHWPumps

(Guideline p.14)


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Data SourcesWhole-Building Meters

Electric 15 minute intervaldata

Monthly Gas & Electric data

Utility websites, e.g. PG&Es InteractResourcehttp://www.pge.com/mybusiness/ener gysavingsrebates/demandresponse/tools/ e,g, PG&Es Business Tools

http://www.pge.com/mybusiness/myaccount/analysis/

Interval Gas Data (Pulse Counter)Bolt-on pulse meter

Face plate replacement
http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/http://www.pge.com/mybusiness/myaccount/analysis/http://www.pge.com/mybusiness/myaccount/analysis/http://www.pge.com/mybusiness/myaccount/analysis/http://www.pge.com/mybusiness/myaccount/analysis/http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/http://www.pge.com/mybusiness/energysavingsrebates/demandresponse/tools/


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Data Sources

BTU meters

Water flow metersPortable ultrasonicInsertion-paddlewheel


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Data Sources

WeatherPG&Es Interact website provides cleanedweather data on hourly basis

Other Sources:www.gard.com/weather/index.htmwww.weatherunderground.comTake particular note of

http://www.eere.energy.gov/buildings/energyplus/cfm/weather_data.cfmwhich gives sources for weather data in a variety of formats,including real-time data.


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Data SourcesFor Option B Retrofit Isolation Approach

e.g. HVAC Systems

P

Mix HX HX

HX

PBoiler

C

V

Chiller

CoolingTower

P P

HX

Room

HX

Pri. CHWpump

AHUSupply

Fan

Return AirDamper Sec. CHW

pump

AHUCooling

Coil

Outside AirDamper

Return Air

Fan

AHUHeating

Coil

VAV boxwith reheat

Fan-poweredVAV box

Condenserwaterpump

Water

Air

Air andWaterVapor

Air

Air

Air

Air

Water Water

Water

Water Water


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Data SourcesHVAC Systems

Cooling Tower FansChillersCDW & CHW Pumps

AHU FansConstant loadVariable load

Equipment PowerSpot measurements Power logging instrumentsConvert feedback status signalsto power/energy

Proxy variables


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Proxy VariablesGenerates energy variables (kWh, kW,therms, etc.) from:

Feedback status signals trended in EMCS

Constant load / constant speed equipmenton/off status, etc.

Variable load / variable speed equipmentVFD speed, amps, etc.

Independently measured or logged datakWh, kWHot and chilled water flow, etc.

(Guideline p.21)


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Proxy VariablesExample of constant and variable load feedbacksignals on EMCS

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MU.AH4.RET INLET VANE %OPEN MU.AH1.RAF.STATUS ON/OFF


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Proxy Variables

For ON/OFF status pointsMake spot measurements of kW

Multiple measurements and take averagekW = kW measured * STATUS

For variable speed/load signalsShort term logging of equipment kW

Corresponding trended load data from EMCSDevelop relationship between kW and load


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Proxy Variables

VFD Speed for kW

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AHU-1 Fan Speed %

A H U - 1

F a n

k W

Actual Cubic polynomial


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Required Resources - Data

Gather physical information, within themeasurement boundary, for the baselineperiod:

Energy data (kWh, kW, therms, etc.) Assure sensors are calibrated

Independent variables: Ambient temperature,occupied hours, etc.

Static Factors:Equipment inventory, building characteristicsOccupancy, operational schedulesOperating procedures, set points

Should be inEBCxdocumentation


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Amount of DataInterval Data (Whole Building and Systems):

Issue needs more research (ASHRAE research topic)General guidance:

Enough to cover a cycle of operation (IPMVP requiresdata through one cycle)

Constant load equipment: spot measurementVariable load equipment: through range of its operation

Chilled water system: entire cooling season

Building one year, or half year from coldest to warmestmonthsEnough to capture 80 or 90% of range of dataData collected in season when ECMs have most impact

(Guideline p.34)


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Preparing DataDifferent sources

Whole building electric short term interval dataLocal airport or NOAA weather fileEnergy information systemEnergy management and control system

Different typesCOV, analog, digital, categorical, etc.

Different time intervals5-min (e.g. EMCS trend)15 min (utility whole-building kWh)Hourly (NOAA weather)

(Guideline p.25)


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Preparing Data

Methods require all data to be on commontime interval

Called analysis time interval Guideline recommends:

HourlyDaily


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Useful Data PreparationSoftware Tools

Universal TranslatorMerges and aligns multiple data sets to same time stampInterpolates between points, etc.Much more!Free from www.utonline.org

Energy Charting and Metrics (ECAM) ToolSets up categorical variables for weekdays, weekends, etc.Much more!Excel add-inFree from www.cacx.org


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Important!

In almost all cases, after the ECM has beeninstalled, you cannot go back and re-create thebaseline. It no longer exists!

It is very important to properly define anddocument all baseline conditions before theECM is implemented.


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Short Term Interval MethodsEmpirical energy use models

E = F (x i )Statistical regressions

Models are built directly from data

Can determine best model type and fit

Can calculate model uncertainty

(Guideline p.29)


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Energy Modeling

1-parameter model

Ambient Temp

C E n e r g y

u s e

2-parameter model

E n e r g y

u s e

B1

C

Ambient Temp

3-parameter model (heating)

E n e r g y

u s e

CB2

B1

Ambient Temp

E n e r g y

u s e B1

B2C

Ambient Temp

3-parameter model (cooling)

E n e r g y

u s e

B3

CB2

B1

Ambient Temp

4-parameter model (heating) 4-parameter model (cooling)

E n e r g y

u s e

B3

C

Ambient Temp

B2

B1

5-parameter model

E n e r g y

u s e

C

B1B2

B3 B4

Ambient Temp


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Modeling ExamplesElectrical Demand vs. Ambient Temperature

y = 9.622x - 212.35R2 = 0.7869

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E l e c t r i c a

l D e m a n

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kW (post)Post Fit

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12001400

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40 50 60 70 80 90 100 110Ambient Temperature, deg F

H o t

W a t e r

U s e

[ M B H ]

HHW MBHCurve Fit

Actual Post


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Developing Models

General ProcedurePlot dataSelect model type (1-P, 2-P, 3-P Cooling, etc.)Select change point

Perform regressions (averages where needed)Calculate CV & NMBE

Adjust change pointPerform new regressions

Calculate CV & NMBE, compare with run #1Iterate to lowest CV & NMBE

Can develop in spreadsheets using macros


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Assess Baseline Model

Develop different energy use modelsSelect model that best fits data (low NMBE, CV)Run uncertainty assessment

Determines if model can determine savings within reasonableuncertaintyMay need to select alternate approach

Finalize approachDecide how long to measure in post-installation period

(Reporting Period)Document in M&V Plan


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Uncertainty Assessment

Purpose: To determine if model will be able todistinguish savings from the models uncertainty Reference: ASHRAE Guideline 14 Annex B

Appendix B in Verifying Savings in EBCx Guideline

Procedure: Gather dataDevelop modelEstimate expected savingsCalculate fractional savings uncertaintyCompare with savings estimate

(Guideline p.61)


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Uncertainty Assessment ASHRAE G14, Annex B, Eqn. B-15

Uncertainty in Fractional Savings, E save,m /E save,mFor weather models with correlated residuals

Each point has a relationship with the previous pointPotential when time unit is short (e.g. daily or hourly)

F

mnn

nCV

t E

E

m save

m save

2/1

,

,

1

'

21

'

26.1


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Useful Software

QuEST Change-Point Model Spreadsheetswww.quest-world.com Excel-based

Energy Explorer Automatically determines best fit of change-point models todata, makes charts, calculates savings, uncertainty, etc.Source: Prof. Kelly Kissock, University of Dayton

ASHRAE Inverse Modeling Toolkit (RP1050)Purchase with Research Project 1050DOS-based, source and executable filesIncludes test data sets
http://www.quest-world.com/http://www.quest-world.com/http://www.quest-world.com/http://www.quest-world.com/


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Spreadsheet Demonstration

Linear and change-point models


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Post Installation Model

Similar to baseline modelDeveloped from post-installation data

Two Uses:1. Annualizing Energy Savings2. Savings Persistence/Performance Tracking

Example in Case Study


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Annualizing Savings

Use when less than one year of dataBaseline or Post-Installation

Use baseline and post-installation modelswith independent variables

TMY weather dataOther variables

Difference is annual savings


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Case Studies

UC BerkeleySoda Hall

Computer Science Building

109,000 ft2

UC DavisShields Library

400,070 ft 2

Undergraduate library


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Soda HallUC Berkeleys Computer Science Department (24/7 operation)

109,000 ft 2

Central Plant (2 - 215 ton chillers & associated equipment)

Steam to hot water heating

3 Main VAV AHUs,

AHU1 serves building core, AHUs 3 and 4 serve the perimeter, with hot water reheat


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Soda Hall EBCx Findings

System MeasureNo.

Description ImplementationDate

Energy,kWh/yr

Energy,lbs/yr

Dollars,$/yr

Cost, $ Payback,yr

AHU1-2

Resume supply air temperaturereset control and returneconomizer to normal operation

10/25/2006 129,800 266,250 $19,004 $1,550 0.1

AHU1-3 Repair/replace VFDs in return fans10/25/2006 34,308 $4,460 $7,000 1.6

AHU1-4

Reduce high minimum VAV box

damper position3/9/2006 46,300 119,300 $6,973 $15,250 2.2

AHU3-2 &AHU4-2

Option 2: Reduce high minimumVAV box damper position

3/9/2006 30,600 2,328,100 $22,603 $17,250 0.8

AHU3-3 &AHU4-3

Re-establish scheduled fanoperation and VAV AHU-3(includes repair/replace VFD onreturn fan EF-17), AHU-4 (includesrepair/replace VFDs on supply SF-18 and return EF-19 fans, andelimination of low VFD speedsetting during the day)

10/25/2006 242,000 $31,460 $14,000 0.4

Total 483,008 2,713,650 $84,500 $55,050 0.7

PercentageSavings

10% 51% 14%

Utility Data Steam 5,325,717 lbs

Electricity 4,871,678 kWhr

Cost $621,575

Savings

AHU-1

AHUs 3& 4


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M&V Approach for Soda HallResources:

Whole-building electric and steam meters presentEMS that trends all points at 1 min (COV) intervals8-month history of data

RCx measures in AHU and Chilled Water SystemsElectric and steam savings

Very high EUI unsure if can discern savings at wholebuilding levelM&V Approach:

Option B applied at systems level (electric only)Option C whole building level (electric and steam)


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Baseline Model: Soda HallTotal Building Electric Building Steam

Peak Period Electric HVAC System Electric

S d H ll M&V HVAC


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Soda Hall M&V: HVACSystems

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500

1,000

1,500

2,000

2,500

3,000

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4,000

4,500

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Date

D a i

l y k W

h U s e

HVAC Daily kWh Usage Baseline Post-Install Model

DateBreak

Baseline Model:kWh = 79.9*OAT + 1129RMSE = 136 kWh

Baseline Period Post-Installation Period

Post-Install Model:kWh = 44.1*OAT - 336RMSE = 213 kWh

S d H ll E i d


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Soda Hall: Estimated vs.Verified Savings

Whole Building HVAC SystemkWh 483,008 216,716 462,472kW - 22 50Lbs. Steam 2,713,650 854,407* based on eQUEST model** based on baseline and post-installation measurements and TMY OAT data

Verified Savings**Source EstimatedSavings*


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Shields LibraryUC Davis Undergraduate Library

400,072 ft 2

Chilled Water and Steam provided by campus central plant2 CHW service entrances, variable volume2 HW service entrances

11 AHU, 3 VAV, 8 CAV

5 electric meters


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Shields Library RCx Findings

System Description of Deficiencies/Findings

AC01 & AC02 Excess ive fan speed due to failure to meet s tatic pressure set point Economizer malfunction Simultaneous heating and cooling in air s tream

AC21, AC25, AC25, AC51, AC53, AC54, AH1, AH2, AH3

Economizer Repair Economizer Control Optimization Supply Air Temperature Res et with Occupancy Schedule

CHW & HWPumps

Chilled water supply temp set point reset Chilled water pump lockout Reset CHW EOL pressure set point

Savings: no estimates prior to measure implementation

M&V A h f Shi ld


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M&V Approach for ShieldsLibrary

Assessment:Whole-building meters present:

5 electric meters2 CHW meters (installed as part of project)

3 HW meters (installed as part of project)EMS that trends all points at 5 min intervalsRCx measures in AHU, CHW and HW pumps

Electric, chilled water, and hot water savings

M&V Approach:Option C whole building level

Shi ld Lib M&V M d l


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Shields Library: M&V Models

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OAT (Deg F)

M B T U p e r

D a y

HHW HHW Model HHW Post HHW Post Model

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OAT (Deg F)

T o n s

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EXP CHW EXP CHW Model Post EXP CHW Post EXP CHW Model

-

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2,000

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OAT

D a i

l y k W h U s e

Baseline Model Baseline Data Post Model Post Data

Electric Chilled Water

Steam


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Shields Library: 480V ElectricMeter Savings

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5 / 1 0

/ 2 0 0

7

5 / 1 3

/ 2 0 0

7

5 / 1 6

/ 2 0 0

7

5 / 1 9

/ 2 0 0

7

Date

D a i

l y k W h U s e

Daily kWh Usage Baseline

Date

Break

Baseline Model:

R2 = .7RMSE = 10%

Baseline Period Post-Installation Period

Shi ld Lib Chill d W t


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Shields Library: Chilled WaterSavings

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8 / 1 1

/ 2 0 0

7

8 / 1 2

/ 2 0 0

7

8 / 1 3

/ 2 0 0

7

8 / 1 4

/ 2 0 0

7

8 / 1 5

/ 2 0 0

7

8 / 1 6

/ 2 0 0

7

8 / 1 7

/ 2 0 0

7

8 / 1 8

/ 2 0 0

7

8 / 1 9

/ 2 0 0

7

8 / 2 0

/ 2 0 0

7

8 / 2 1

/ 2 0 0

7

8 / 2 2

/ 2 0 0

7

8 / 2 3

/ 2 0 0

7

8 / 2 4

/ 2 0 0

7

8 / 2 5

/ 2 0 0

7

8 / 2 6

/ 2 0 0

7

8 / 2 7

/ 2 0 0

7

8 / 2 8

/ 2 0 0

7

8 / 2 9

/ 2 0 0

7

9 / 6 /

2 0 0 7

9 / 7 /

2 0 0 7

9 / 8 /

2 0 0 7

1 0 / 2

4 / 2 0

0 7

1 0 / 2

5 / 2 0

0 7

1 0 / 2

6 / 2 0

0 7

1 0 / 2

7 / 2 0

0 7

1 0 / 2

8 / 2 0

0 7

1 0 / 2

9 / 2 0

0 7

1 1 / 1

/ 2 0 0

7

1 1 / 2

/ 2 0 0

7

1 1 / 3

/ 2 0 0

7

1 1 / 4

/ 2 0 0

7

1 1 / 5

/ 2 0 0

7

1 1 / 6

/ 2 0 0

7

Date

D a i

l y C H W

U s e

( T o n - h r s

)

Daily CHW Usage Baseline

DateBreak

Baseline Model:R2 = .8RMSE = 26%

Baseline Period

Post-Installation Period

Shields Librar : Hot Water


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58

Shields Library: Hot WaterSavings

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

8 / 1 0 / 2 0 0 7

8 / 1 1 / 2 0 0 7

8 / 1 2 / 2 0 0 7

8 / 1 3 / 2 0 0 7

8 / 1 4 / 2 0 0 7

8 / 1 5 / 2 0 0 7

8 / 1 6 / 2 0 0 7

8 / 1 7 / 2 0 0 7

8 / 1 8 / 2 0 0 7

8 / 1 9 / 2 0 0 7

8 / 2 0 / 2 0 0 7

8 / 2 1 / 2 0 0 7

8 / 2 2 / 2 0 0 7

8 / 2 3 / 2 0 0 7

8 / 2 4 / 2 0 0 7

8 / 2 5 / 2 0 0 7

8 / 2 6 / 2 0 0 7

8 / 2 7 / 2 0 0 7

8 / 2 8 / 2 0 0 7

8 / 2 9 / 2 0 0 7

9 / 6 / 2 0 0 7

9 / 7 / 2 0 0 7

9 / 8 / 2 0 0 7

1 0 / 2 4 / 2 0 0 7

1 0 / 2 5 / 2 0 0 7

1 0 / 2 6 / 2 0 0 7

1 0 / 2 7 / 2 0 0 7

1 0 / 2 8 / 2 0 0 7

1 0 / 2 9 / 2 0 0 7

1 1 / 1 / 2 0 0 7

1 1 / 2 / 2 0 0 7

1 1 / 3 / 2 0 0 7

1 1 / 4 / 2 0 0 7

1 1 / 5 / 2 0 0 7

1 1 / 6 / 2 0 0 7

Date

D a i

l y H W

U s e

( M

B H )

Daily HW Usage Baseline

DateBreak

Baseline Model:R2 = .7RMSE = 5%

Baseline Period

Post-Installation Period


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Costs

Including all costs, project remains cost-effective:

Soda Hall: 1.7 year paybackTan Hall: 0.7 year paybackShields Library: 1.0 year payback

Added costs of metering hardware and software did notoverburden projects costs

In private sector metering costs lowerExisting electric metersSophisticated BAS systems

MBCx approach should be viable

Soda Hall 4,442$ 62,160$ 51,087$ 117,689$Tan Hall 22,573$ 53,000$ 15,300$ 90,873$Shields Library 26,000$ 96,795$ 57,757$ 180,552$

BuildingMetering

CostsMBCx Agent

CostsIn-House

Costs Total

Evaluated project realizationrates: 105% electric, 106% gas


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Questions?


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Future Work

QuESTM&V Tool for Universal Translator

Additional M&V Guidelines from CCCOption AOption B component basedOption D simulationsNon-IPMVP adherent methods

ASHRAE TRFP

jump_integrating mandv into ebcx

Documents