A framework for improving the cost-effectiveness of DSM program evaluations
The prudence of utility demand-side management (DSM) investments hinges on their performance, yet evaluating performance is complicated because the energy saved by DSM programs can never be observed directly but only inferred. This study frames and begins to answer the following questions: (1) how well do current evaluation methods perform in improving confidence in the measurement of energy savings produced by DSM programs; (2) in view of this performance, how can limited evaluation resources be best allocated to maximize the value of the information they provide? The authors review three major classes of methods for estimating annual energy savings: tracking database (sometimes called engineering estimates), end-use metering, and billing analysis and examine them in light of the uncertainties in current estimates of DSM program measure lifetimes. The authors assess the accuracy and precision of each method and construct trade-off curves to examine the costs of increases in accuracy or precision. Several approaches for improving evaluations for the purpose of assessing program cost effectiveness are demonstrated. The methods can be easily generalized to other evaluation objectives, such as shared savings incentive payments.
- Research Organization:
- Lawrence Berkeley Lab., CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States); New York State Energy Research and Development Authority, Albany, NY (United States); Rockefeller Family and Associates, New York, NY (United States); Electric Power Research Inst., Palo Alto, CA (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 132717
- Report Number(s):
- LBL--37158; ON: DE96002343
- Country of Publication:
- United States
- Language:
- English
Similar Records
DSM in context: Understanding the value of DSM and the value of DSM program evaluation
International DSM and DSM program evaluation: An INDEEP assessment