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Building Energy Performance AnalyticsTurn Data into Dollars
Jay SteinExecutive Vice President, E Source
AESP Brown Bag Seminar
Thursday, April 12, 2012
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What Do They Have in Common?
Source: US Fish and Wildlife ServiceCourtesy: Association for Energy Affordability
Energy auditor Spotted owl
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How It Works
Dashboard
Recom-mendations
Economic analysis
Ranking
Analytical engine
Utility bills
Weather station
Digital controls
End-use meters
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Four Types of Analyses
Com
plex
ity o
f ana
lysi
s
Complexity of inputs
Automated audit
Human analysis of multiple info
streams
Automated comparison to
rules and indices
Automated comparison to
statistical models
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Example: Automated Audit
Recom-mendations
Bench-marking
End-use energy
Data visualization
15-minute utility data
Address
Analytical engine
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Example: Human Analysis
Dashboard
Reporting & alarms
Real-time graphing
Comparison to baseline
Continuous utility data
Continuous BMS data
Analytical engine
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Caution
Lack of independent cost and savings info
Too many offerings Different strokes for different
folks Savings depend on
motivation and skill Savings depend on building
characteristics
Source: CKSinfo.com
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Jay Stein
Executive Vice President, E Source
303-345-9131
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