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REAL-TIME ENERGY INFORMATION AND CONSUMER BEHAVIOR: A META-ANALYSIS AND FORECAST
What determines study-to-study variation in energy savings from projects and programs providing energy information feedback? What are the effect-sizes for program variables (such as duration, region, information type, information method and so forth) across multiple previous studies? How will nationally implemented smart metering in the residential sector affect U.S. energy demand? What are the associated costs and benefits?
The meta-analysis of literature and program results will shed light on potential causes of study-to-study variation in information feedback programs and trials. Outputs from the meta-analysis, such as price elasticity, will be used in NEMS to estimate the impact of a national smart metering program. The potential energy saved will be estimated, as will other benefits and costs.
Potential to Further Environmental/Human Health Protection
The residential sector consumes almost one-quarter of total U.S. energy and emits almost one-third of national carbon emissions. Improved understanding of how smart meters affect energy behavior may help realize greater energy efficiency within households, saving significant energy while also avoiding carbon emissions.