Actions for Chapter 17 [electronic resource] : Residential Behavior Evaluation Protocol. The Uniform Methods Project Methods for Determining Energy Efficiency Savings for Specific Measures

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Chapter 17 [electronic resource] : Residential Behavior Evaluation Protocol. The Uniform Methods Project Methods for Determining Energy Efficiency Savings for Specific Measures

Published
Washington, D.C. : United States. Office of Electricity Delivery & Energy Reliability, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
53 pages : digital, PDF file
Additional Creators
National Renewable Energy Laboratory (U.S.), United States. Office of Electricity Delivery & Energy Reliability, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Residential behavior-based (BB) programs use strategies grounded in the behavioral and social sciences to influence household energy use. These may include providing households with real-time or delayed feedback about their energy use; supplying energy efficiency education and tips; rewarding households for reducing their energy use; comparing households to their peers; and establishing games, tournaments, and competitions. BB programs often target multiple energy end uses and encourage energy savings, demand savings, or both. Savings from BB programs are usually a small percentage of energy use, typically less than 5 percent. Utilities will continue to implement residential BB programs as large-scale, randomized control trials (RCTs); however, some are now experimenting with alternative program designs that are smaller scale; involve new communication channels such as the web, social media, and text messaging; or that employ novel strategies for encouraging behavior change (for example, Facebook competitions). These programs will create new evaluation challenges and may require different evaluation methods than those currently employed to verify any savings they generate. Quasi-experimental methods, however, require stronger assumptions to yield valid savings estimates and may not measure savings with the same degree of validity and accuracy as randomized experiments.
Report Numbers
E 1.99:nrel/sr--7a40-68573
nrel/sr--7a40-68573
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
11/01/2017.
"nrel/sr--7a40-68573"
Charles W. Kurnik; James Stewart; Annika Todd.
Funding Information
AC36-08GO28308
View MARC record | catkey: 23760918