Achieving & SustainingHigh Performance Building Operations

December 2007

Bank of America Tower, NYC

Today’s AgendaToday’s Agenda

Challenges with keeping buildingsoperating at peak performance

An alternative approach

Applications Re-circulated air systems 100% OA systems

Benefits summary

The Rise of High Performance BuildingsThe Rise of High Performance Buildings

3 trends are driving High Performance Buildings

1. Soaring energy costs

2. Rise of LEED & green buildings construction

3. Increased focus on indoor environmental quality (IEQ)

Tension between Ventilation & EnergyTension between Ventilation & Energy

Ventilationwants moreoutside air

Energy Savingswants morereturn air

Trends Are Driving Increased SensingTrends Are Driving Increased Sensing

Increased need for controls & sensors Min. outside air, DCV, economizers,

pressurization, humidity control, etc.

Controls require many sensors

– CO2, CO, T, RH, static pressure

IEQ monitoring

– Particles, TVOCs, formaldehyde, etc.

Tighter sensor accuracies and proper application are major issues Inaccurate or mis-applied sensors can

actually increase energy costs

– Ex. - normal CO2 errors waste energy

Unfulfilled Promise of Hi-Perf & LEED BldgsUnfulfilled Promise of Hi-Perf & LEED Bldgs

High Performance Buildings idea is NOT new Demand Controlled Ventilation (DCV) Economizers Annual commissioning

Failure has been in implementation (not design) “50% of all buildings are over ventilated” – ASHRAE

“70% of economizers don’t work” – New Buildings Institute

“Less than 5% of buildings are commissioned” –ASHRAE

Conventional approaches are not up to the task!

Conventional ApproachConventional Approach

T TTT

VAV VAV VAV VAV

Room 101 Room 102 Room 103 Room 104

CF

M

BldgCtrlr

Simple

Reliable

Cost Effective

Conventional Sensing Approach (Yikes!)Conventional Sensing Approach (Yikes!)

Extra hard-wired points

Sensor quality (accuracy)

Sensor quantity (cost)

Sensor maintenance & calibration

BAS: knowledge vs. data

VAV VAV VAV VAV

Room 101 Room 102 Room 103 Room 104

RH

CO

CO2 P

V

T RH

CO

CO2 P

V

RH

CO

CO2 P

V

T T RH

CO

CO2 P

V

T

Ctrlr CtrlrCtrlr Ctrlr

CF

M

Bldg Ctrlr

ASHRAE: Ventilation needs differential CO2 measurement

Conventional COConventional CO22 Sensing Sensing

OA CO2

300

400

500

600

12:00 AM 6:00 AM 12:00 PM 6:00 PM 12:00 AM

PP

M

±75 PPM Error

+ ±75 PPM Error

= ±150 PPM Error

CO2 set point must account for total error-If 500 PPM (20 CFM OA/person) is target: set point 350 PPM

Due to sensor error, actual level can vary from 200–500 PPM

Potential over-ventilation is huge! Up to 150%

Even w/calibrated sensors, avg. OA can be 43% high!Potential energy penalty: ~$0.10–$0.20/ft2/year

Return Air Sensor

Outside Air Sensor

Differential Measurement

At the 2007 ASHRAE IAQ Conference…

Accuracy of CO2 Sensorsin Commercial Buildings: A Pilot Study

Lawrence Berkeley National Laboratories

10% were dead: no output at all!

Of the “working” sensors: 10% had negative errors (half off by more than 50%!) 90% had positive error (average positive error: +39%!)

If DCV control was used: 10% would have the OA dampers fully closed The average OA airflow would be 260% too high! 20% would have the OA dampers at 100% OA!

LBNL CO2 Field Sensor Study Results10% Dead

81% Read High(avg. 39%!)

9% Low(½ by 50%)

LBNL: A Review of DCV; LBNL-60170

Michael G. Apte, Environmental Energy Technologies Division, Indoor Environment Department

“…data from the Iowa Energy Center showed long-term output from three “self calibrating” NDIR CO2 sensors operated side by side. Although these new sensors are guaranteed to hold calibration for five years, one unit was observed to have a positive baseline offset of 105 ppm compared to the other two that registered with 25 ppm at about 400 ppm. Nine months later, the baseline of the same unit had diverged by 265 ppm.”

EconomizersEconomizers

Control Method Dry Bulb Temperature

– Outside air sensor versus fixed setpoint in design• ASHRAE Std 90-2004 has max values from 65-75

Differential Enthalpy Control– Same outside air and return air sensor for °F

– Relative Humidity sensor for outside and return air• Need High Quality or Expect Failure

Dry Bulb Economizer

55º F 75º F

OA is at Min

OA is at Max

OA/RA Mix

Differential Enthalpy Economizer

55º F

OA is at Min

OA/RA Mix h = 26.1 Btu/lbm

75º F/40% RH

OA is at Max

Dry Bulb vs. Diff. Enthalpy Economizer

55º F

OA/RA Mix

75º F/40% RH

OA is at Min

OA is at Max

DB: OA is at MaxDE: OA is at Min

DB: OA is at MinDE: OA is at Max

h = 26.1 Btu/lbm

Dry Bulb vs. Diff. Enthalpy Economizer

55º F

OA/RA Mix

65º F

OA is at Min

OA at Max

DB: OA is at MaxDE: OA is at Min

DB: OA is at MinDE: OA is at Max

h = 26.1 Btu/lbm

Differential Enthalpy Economizer SavingsDifferential Enthalpy Economizer Savings

CityNo

Economizer70º

Dry-bulbDifferential Enthalpy

Madison, WI 0% 11% 27%

Lake Charles, LA 0% 3% 9%

New York, NY 0% 12% 33%

Los Angeles, CA 0% 51% 76%

Seattle, WA 0% 25% 51%

Albuquerque, NM 0% 3% 22%

Economizer Savings Study, ASHRAE No. 3200, 1989, P.C. Wacker, P.E.

Example 2: Differential Enthalpy SensingExample 2: Differential Enthalpy Sensing

Best economizer is differential enthalpy Savings increased by 15–100% over dry bulb type Comfort and IEQ increased as well

Yet, dry bulb economizers dominate usage

WHY?

Enthalpy/humidity sensors are problematic High drift from outside air, low temp, particles, etc.

– Sensors often hard to access & calibrate

Differential measurement is prone to error– If sensor error is ±5%, total error of two sensors is ±10%

– For a 10% RH difference, measurement error is ±100%

Poorly working economizers waste $0.10–$0.50/ft2/yr

A New Approach: Multiplexed Air PacketsA New Approach: Multiplexed Air Packets

BACnetto BAS

Air DataRouters

SensorSuite

Transformer

VacuumPump

BrowserInterface

WebAccessibleReports

Knowledge

Center

StructuredCable

I/OI/O I/O I/O

Particles

TVOCs

Dewpt

CO2

COInternet

InformationManagementServer

A New Approach: Multiplexed Air PacketsA New Approach: Multiplexed Air Packets

BACnetto BAS

Air DataRouters

SensorSuite

Xfrmr

VacuumPump

BrowserInterface

WebAccessibleReports

Knowledge

Center

I/O I/O

Internet

IMS

OA

RASA

Conf.

Lobby

Office

Office

CO

CO2

Dew pt.

TVOCs

Particles

Optimizing VentilationOptimizing Ventilation

Zone Control AHU Control

Any building that has Economizer Dampers

Any space that hasVAV or 2-pos. Control

SchoolsOffices

HospitalsLabs & Vivariums

SchoolsOffices

Hospitals

Outside Air ApplicationsOutside Air Applications

Demand Control Ventilation DCV saves energy by

decreasing OA “Non-human pollutants” override

– If indoor air is “dirty”, OA increased

Differential Enthalpy Economizer Control Saves energy by

increasing OA Contaminated OA override

– If outside air is “dirty”, OA reduced

Particulate Control

VAV ORs

Data Centers Econ.

Filter Validation

OA Measurement

1 Sensor

VAV for Operating RoomsVAV for Operating Rooms

OR-1

EF

C

C

PH

C

SF

OR-2 OR-3

HumidityParticlesTVOCs

CO2

CO

Ensuring Filter PerformanceEnsuring Filter Performance

1 Check and change filters often (open loop)

2 Check & Change filters; measure ΔP (open loop)

3 Change filters when needed; measure ΔP; monitor particulates (closed loop)

??

Data Center EconomizersData Center Economizers

Most Data Centers use little (if any) OA

RH and Particle concerns have been drivers

OA can be used safely to achieve huge energy savings

7,000 ft2 data center could save up to 230MWh/year!

OA Measurement using COOA Measurement using CO22

Use Mass Balance

Supply Air CO2 equals the sum of the concentration of CO2 in the OA and RA weighted by the percentage of those components of the supply air. Or…

)(

)(

22

22

OACORACO

SACORACOSAcfmOAcfm

RA

OA SA

Multi-parameter Demand Control Multi-parameter Demand Control VentilationVentilationDemand Control Ventilation DCV saves energy by

decreasing OA “Non-human pollutants” override

– If indoor air is “dirty”, OA increased

Traditional DCV/CO2: waste energy or under-ventilate

Single CO2 set point: not the answer

ASHRAE says more than CO2 is needed

Multi-parameter DCV provides

Better ventilation

More energy savings

OA Need Based on Design Occupancy

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

600 people @ 20 CFM/person = 12,000 CFM

Single Set point Wastes Energy

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

Typical Fixed Setpoint Occupancy Based OA

Excess OA = Wasted EnergyShoulder periods

OA Need Based on TVOC Events

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

TVOC Based OA

• Not periodically predictable• Need more OA than required

by occupancy

OA Requirements for ASHRAE DCV

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

TVOC Based OAOccupancy Based OA

What happens ifonly CO2 is used?

Max Vent Usually Becomes OA Set Point

0

2,000

4,000

6,000

8,000

10,000

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14,000

16,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

Max Vent OSA Typical Fixed Setpoint

TVOC OA Occupancy Based OA

Potentially Huge Energy Savings

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P 1 A 9 A 5 P

OA

CF

M

Max Vent OA Traditional System Error

TVOC OA Design Occupancy Based OA

Actual Occupancy Based OA

Excess OA = Wasted Energy =Savings Potential

Over-Ventilation: A Real ExampleOver-Ventilation: A Real Example

0

20

40

60

80

100

120

140

160

180

200

6/18/0611:19 PM

6/19/065:17 AM

6/19/0611:15 AM

6/19/065:12 PM

6/19/0611:10 PM

6/20/065:08 AM

6/20/0611:06 AM

6/20/065:04 PM

6/20/0611:02 PM

6/21/065:00 AM

6/21/0610:58 AM

CFM

of O

A/P

erso

n

AHU 3 AHU 4 AHU 2

Room Level Airflow Control ApplicationsRoom Level Airflow Control Applications

Simple dynamic override cuts across all markets Reduce room airflow min when CO2 and contaminants are low

Increase airflow when CO2 or contaminants are high

Reduces both fan power & htg/clg costs from OA

Particularly appropriate for multi-zone air handlers

Sample applications Use for DCV control of “critical” zones in offices, schools, etc.

– Critical zones are rooms w/lower supply air & higher occupancy

– Reduces AHU’s outside air volume beyond AHU only control

Reduces outside air dramatically in labs and vivariums Vary airflow use in hospital OR’s when unused

Dynamic Control of Min Ventilation & Fresh AirDynamic Control of Min Ventilation & Fresh Air

VAV vs. OAVAV vs. OAF

low

Time

OA

VAV

CO2

100% Open

Stage 1: Increase VAV Flow Stage 2: Add More OA

CO

2 in

PP

M

Another Application: Humidity ControlAnother Application: Humidity Control

Replace local RH sensor w/multiplexed dewpoint sensor Applications at the air handling unit

– Humidity control of outside & mixed return air

Applications at the room/zone level– Supplemental humidity control in OR’s, animal rooms, offices, etc.

Multiplexed dewpoint sensing has many benefits More accurate – Uses high quality sensor More reliable – Calibration is cost effective & regular More cost effective – One vs. many sensors

Current Drivers of Lab AirflowCurrent Drivers of Lab Airflow

Hood & thermal airflows are reduced; vary for peaks

Higher “dilution” requirement is typically the driver

Ven

tila

tio

n R

ate

(CF

M)

VAVVAV

FumeHoods

ThermalLoad

6-12 ACH

2- 4 ACH

ACH/Dilution

Constant

Trends in LaboratoriesTrends in Laboratories

VAV Fume Hood Control has gained wide acceptance

Fume hood densities are much lower More computation & lower chemical quantities Increased number of life sciences labs

Thermal loads have peaked & are dropping Plug loads down from energy efficient equipment Higher efficiency lighting & more day lighting

Energy costs are soaring LEED labs

Typical Life Sciences LabTypical Life Sciences Lab

Typical Life Sciences LabTypical Life Sciences Lab

Low Load (blue)

Medium Load (yellow)

High Load (red)

AZ Lab Trend FindingsAZ Lab Trend Findings

Lab Min Vent CFM range:9–16 ACH (Avg ~14)

Max Cooling CFM::10–21 Watts/ft2 (Avg ~14)

Many Min Vent CFM ≈ Max Cooling CFM

– Almost no VAV activity

71% always at min vent

Mixed fume hood sash positions

Always in Reheat (Low Load)

Always Full Cooling(High Load)

Mixed Clg/Reheat(Medium Load)

81%

14%5%

Yet Requirements Stay The SameYet Requirements Stay The Same

Minimum air changes still fixed at 6 to 12 ACH

Need still exists for dilution ventilation in labs Dilute vapors from a spill when lab is unoccupied Dilute vapors & gases caused by poor lab practices

– Working outside the hood

– Improper storage of chemicals

– No localized exhaust for instruments

– “Overworking” & overcrowding of hoods

Dilution: a backup to containment

Fortunately, for most labs, room air is often “clean”

Actual Lab IEQ Case StudyActual Lab IEQ Case Study

Major University laboratory facility 15 labs monitored continuously for 10 months Ventilation rate at 12 ACH per university IH group

Result Two recorded “incidents” of elevated TVOC levels in several

laboratories totaling 4-5 hours (0.07% of total hours) 99.93% of the time, these labs could have been operated at

lower airflow rates

Cause Workers using fume hoods during scheduled hood

maintenance periods

Solution Better internal communication between maintenance and

occupants – No further incidents

Actual Data: 35 Days at 2 FacilitiesActual Data: 35 Days at 2 Facilities

0.00%

0.20%

0.40%

0.60%

0.80%

1.00%

1.20%

1.40%

0.10 0.25 0.50 1.00 1.50 2.00 4.00 8.00

Threshold TVOC Values in PPM at 4 ACH

% o

f T

ime

Ove

r T

hre

sho

ld

Bio-B Pilot @ 4 ACH Harvard FXB @ 4 ACH

Lab Demand Controlled Ventilation (DCV)Lab Demand Controlled Ventilation (DCV)

Varies dilution/min ACHs by sensing lab IEQ If lab air is clean, dilution airflow can be reduced Plus, greater lab dilution is provided when

needed by sensing or manual override

Most lab controls can vary min ACH levels

Critical piece: Sensing of IEQ parameters Lab TVOCs, Particles, RH, CO, & CO2

Barriers to date: Cost & practicality Sensor cost Long term reliability Calibration of Distributed Sensors

Solution: Vary Dilution to Save EnergySolution: Vary Dilution to Save Energy

Lab DCV: Next generation lab airflow control Apply VAV control, to all lab air requirements Significantly reduce energy, find a way to increase safety

Ven

tila

tio

n R

ate

(CF

M)

VAVVAV

FumeHoods

ThermalLoad

6-12 ACH

2- 4 ACH

Energy &First Cost

Savings

ACH/Dilution

VAV

Dynamic Control of Dilution RatesDynamic Control of Dilution RatesSpill Dilution Concentration vs. Time

0

500

1,000

1,500

2,000

2,500

0 5 10 15 20 25 30 35 40 45 50 55 60Time in Minutes

PP

M C

on

ce

ntr

ati

on

10 ACH Baseline 250PPM Threshold Level Dynamic 4-16 ACH

1.5 L spill of acetone in 200ft2 lab

Total PPM is lower with dynamic ventilation

After vaporized, dynamic system hits TLV faster

After 1 hour Dynamic control has dropped level to .53 PPM

Dynamic Dilution Ventilation ControlDynamic Dilution Ventilation Control

There is no need to dilute clean air w/ clean air TVOC, particle counter, etc. sense air

– Hundreds of compounds are detected below TLV threshold

– Small number of compounds not detected are fairly dangerous• Should not be used in a fume hood

Set min dilution levels per OSHA or as desired For high concern: 4 ACH occupied; 2 ACH unoccupied

– OSHA guidelines have a minimum at 4 ACH (range of 4–12)

For less severe applications, use 2 ACH as minimum– ASHRAE fresh air min for science lab is 0.18 CFM/ft2 or 1.2 ACH

– Appropriate for life sciences & less critical lab and support areas

Set max dilution level at 12–16 ACH for safest purge Or as high as the supply/exhaust valves can go

0 CFM

2,000 CFM

4,000 CFM

6,000 CFM

8,000 CFM

10,000 CFM

12,000 CFM

14,000 CFM

16,000 CFM

18,000 CFM

May-17 May-31 Jun-15 Jun-29 Jul-16 Jul-30 Aug-13 Aug-27 Sep-11 Sep-25 Oct-10

Exhaust CFM Supply CFM

ASU Biodesign B – Aircuity ResultsASU Biodesign B – Aircuity Results

Average Savings: 10,636 CFMAt $6.00/CFM annually = $63,816 per year = $7.98/ft2 per year = 9 month payback!

New Average Supply: 5,229 CFM

Old Average Supply: 15,978 CFM

10,6

36 C

FM

Sav

ing

sJune 4, 2007Aircuity Activation

Chilled Beams in Labs

Multiplexed dewpoint sensing benefits: More reliable

– Calibration is cost effective

– Calibration regularly done

More accurate – Uses high quality sensor– (NDIR hygrometer)

More cost effective– 1 vs. many sensors

Reduced Costs– Smaller ∆T

DCV Case Study: GreenLab, SeattleDCV Case Study: GreenLab, Seattle

Project Facts Project team:

– Owner – Vulcan (Paul Allen)

– Architect – Perkins & Will

– Mechanical Eng. – Stantec (Keen Eng.)

– Contractor – Sellen

– Estimator – Davis Langdon

215,000 ft2 mixed use building– 75,000 ft2 lab area

– 75,000 ft2 office

– 25,000 ft2 optional vivarium

Design based on Aircuity Lab DCV

DCV Case Study: GreenLab, SeattleDCV Case Study: GreenLab, Seattle

Lab DCV analysis assumptions: Lab area: 4–16 ACH vs. a fixed 9 ACH

Vivarium: 8–16 ACH vs. a fixed 15 ACH

Gross first cost savings: $1,025,000 $13.68/ft2 gross or $8.68/ft2 net for lab

Total bldg energy cut by $250,000/yr. Reduced total bldg’s utility bill by 20%

ROI: 1.5 yr energy payback

“Single greatest energy savings measure of the project”

Harvard Allston Lab ProjectHarvard Allston Lab Project

Annual Energy Savings Energy Savings for 350K ft2 Lab $528,360 Energy Savings for 50K ft2 Vivarium $275,200 Total Annual Savings $803,560

Total Installed Optinet System Cost Research Lab OptiNet system cost $750,000 Vivarium OptiNet system cost $185,000 Public Area OptiNet system cost $75,000 Labor assumed at 35% of materials $355,000 Total Installed OptiNet cost $1,365,000

Simple Payback

payback year7.1savings 560,803$

cost 000,365,1$

Brigham & Women’s Hospital ExampleBrigham & Women’s Hospital Example

Annual Energy Savings: Floors 1 – 3 Fan power savings $40,414 Floors 1 – 3 Outside Air savings $41,344 Diff enthalpy vs. dry bulb economizers $58,788 Total Energy Savings $140,546

Total Installed System Cost Material & Startup costs $96,000 Deduct for 15 CO2 sensors - $18,000 Deduct for 10 RH sensors - $10,000 Installation cost $38,000 Total adjusted installed cost $106,000

Simple payback on above scope 0.76 years

5 Year lifecycle analysis results +$504,235 Assumes annual services of $18,500/yr

Aircuity at UC San Diego, Center Hall

University Classroom Bldg.

2,100 Student Facility

Applied MpDCV

Net 1st Cost: $29K

Saves over $38,000/year in energy 45% of annual HVAC energy!

Saves 310,000 Kwh & 1,100 MBTU

9-Month Payback

5-Year savings nearly $200K

Aircuity at Bank of America Tower, NYC

1st LEED Platinum Skyscraper

JB&B, NYC Specified Aircuity

$1.0B budget, 2.1M ft2 building

40 Suites vs. 700+ CO2 sensors

Saves $160K/year in maintenance

Saves $400K in replacement costs Every 2-5 years!

One Bryant Park

Aircuity at UBS in Stamford, CT

World’s largest open securities trading floor

Aircuity Energy Retrofit

Van Zelm Engineers, CT

1.7 year energy payback

Aircuity at the Newark Arena (NJ Devils)

100,000 ft2 sports arena; $310M budget

Vanderweil Associates; Flat specified Aircuity

Demanding Dew Point & DCV control Multiple IEQ Parameters

Project 1st Cost reduced by over $100K ($1/ft2)

Saves $40,000/year in maintenance

Saves $90K in sensor replacement costs Every 2-5 years

Some Laboratory/Vivarium Customers

Harvard School of Public Health

Merck Research Labs

Grand Valley State Univ

Acadia Univ

Univ of Cincinnati

Arizona State Univ

Rice Univ

Texas Children’s Hospital

Children’s Hospital of Philadelphia

Case Western Reserve Univ

Regina Provincial Labs

Some Commercial Applications Customers

Yale Univ

NYU Medical Center

Boston Univ

Univ of Nevada – Las Vegas

Carnegie Mellon Univ

Boeing

UBS Financial

St. Francis Hospital

Bristol Myers Squibb

Brigham & Women’s Hospital

Packard Humanities Inst. Film Vault

New Jersey Devils Arena

Bank of America

Cost Effective LEED NC PointsCost Effective LEED NC Points

Primary impact on up to 4 points:

IEQ potential: 3 pts. EQ - 1 : Permanent CO2/OA Monitoring

EQ - 3.2: Construction IAQ Mgmt Plan EQ - 7.2: Permanent Comfort Monitoring

Innovation in Design potential: 1 pt. Comprehensive IEQ Mgmt System

– Multi-parameter DCV

Cost Effective LEED NC PointsCost Effective LEED NC Points

System can assist/lower cost on up to 13 pts:

Energy & Atmosphere potential: 12 pts.

EA - 1: Optimize Energy: up to 10 pts.

EA - 3 Enhanced Commissioning: 1 pt.

EA - 5 Measurement & Verification: 1 pt.

IEQ potential: 1 point

EQ - 3.1: Construction IAQ Mgmt Plan: 1 pt.

Facility monitoring can impact up to 15% of LEED points

ReviewReview

Traditional technology has many shortfalls in the quest for long-term high performance building operation

Now a solution exists to ensure that buildings satisfy both owners and occupants

OA management and associated sensors are key factors

The benefits are measurable and can be substantial

Aircuity Summary Aircuity Summary

An alternative approach for sustainable control

Cost effectively improves OA efficiency

Key Benefits Energy savings

– 5-50% annually

Reduced labor & operating costs– 20-40% annually

Improved IEQ– Increased productivity, peace of mind

LEED Points “Actionable” information

– Gives you the power to keep your facilities operating at a high performance level today AND tomorrow.

Aircuity Summary Aircuity Summary

An alternative approach for sustainable control

Cost effectively improves OA efficiency

Key Benefits Energy savings

– 5-50% annually

Reduced labor & operating costs– 20-40% annually

Improved IEQ– Increased productivity, peace of mind

LEED Points “Actionable” information

– Gives you the power to keep your facilities operating at a high performance level today AND tomorrow.

A New Approach: Multiplexed Air PacketsA New Approach: Multiplexed Air Packets

BACnetto BAS

Air DataRouters

SensorSuite

Xfrmr

VacuumPump

BrowserInterface

WebAccessibleReports

Knowledge

Center

I/O I/O

Internet

IMS

OA

RASA

Conf.

Lobby

Office

Office

CO

CO2

Dew pt.

TVOCs

Particles