Transcript Major Topic

CALMAC July 18, 2007 Meeting
Attribution and Net to Gross
Examples for Discussion
Clark Bernier, RLW Analytics, Inc.
Energy Star® Homes Evaluation
“Difference of Differences”
•Usage/savings results from all Participant and a sample of NonParticipant Title 24 models
•ESH 02/03 and 04/45 evaluations verified a sample of Participant models
•Baseline study verified Non-Participant models
•Matched Non-Participants to Participants by CEC CZ and/or RMST
•Calculated average compliance margins for participants and nonparticipants in each CZ (relative to “standard” Package D)
•Difference between the average compliance margins was the net
savings margin
•(energy saved / baseline energy usage)
•Multiplied by adjusted tracking baseline usage to get net savings
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Energy Star® Homes Evaluation
“Difference of Differences” - Issues
•Need a well-matched Participant and Non-Participant group
•Separate baseline study made this difficult
•Different sampling frames
•RMST w/clustering v. Population
•Distribution over CEC CZs not comparable
•RMST zones good for characteristics overview, bad for predicting
energy usage/savings
•Didn’t meter non-participants: assumed metering adjustments
affected Parts and Non-Parts equally
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Savings by Design Evaluation:
Self-Reported Model Adjustments
 Surveyed the builders of all sites in the sample
 For each site, determined influence of the program
measure-by-measure

Dichotomous for yes/no measures

Continuous for continuous measures
 Adjusted each measure accordingly in each site’s DOE2 model
 Re-ran simulation with net-adjusted measures—savings
compared to baseline were net savings
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Savings by Design Evaluation:
Self-Reported Issues
 Significant “gaming” of system

Learned to ask “how” program affected savings
 Some buildings are built from common plans

Learned to ask about the program’s impacts on measures in the
plans/prototypes instead of in the buildings
 Potentially more accurate, but more difficult to compute
net-to-gross ratio

Without running many different combinations of measures by
source, it is difficult to attribute savings beyond a simple
net/gross split
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Utility-Specific Savings from
Statewide Programs/Evaluations
Utility
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Samples
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Ratios
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Tracking
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Statewide
Program/
Evaluation
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Savings
Statewide
Ratio
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