Utilities and regulators increasingly rely on behavior change programs as essential parts of their demand side management (DSM) portfolios. This report evaluates the effectiveness of currently available programs, focusing on programs that have been assessed for energy savings. This report focuses on behavior change programs that primarily rely on social-science-based strategies instead of traditional approaches such as incentives, rebates, pricing, or legal and policy strategies. The objective is to help program administrators choose effective behavior change programs for their specific purposes.
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This literature review and benchmarking analysis focuses on electric and gas utility-implemented Conservation Improvement Programs (CIP) in Minnesota that used behavioral techniques. The objective of this effort was to provide the State of Minnesota with information necessary to make informed decisions about the design, evaluation, and claimed savings approaches for these programs.
Among the many benefits ascribed to energy efficiency is the fact that it can help create jobs. Although this is often used to motivate investments in efficiency programs, verifying job creation benefits is more complicated than it might seem at first. This paper identifies some of the issues that contribute to a lack of consistency in attempts to verify efficiency-related job creation. It then proposes an analytically rigorous and tractable framework for program evaluators to use in future assessments.
This paper describes existing barriers to integrating energy efficiency data into real estate markets, and illustrates recent efforts to address them. National cross-industry collaborations have resulted in standard data collection and transfer tools that allow home performance data to be shared across industries. Real estate markets in some regions have begun including these data into multiple listing services (MLS), making them visible during real estate transactions.
This study looks at evidence of capitalization of energy efficiency features in home prices using data from real estate multiple listing services (MLS) in three metropolitan areas: the Research Triangle region of North Carolina; Austin, Texas; and Portland, Oregon. These home listings include information on Energy Star certification and, in Portland and Austin, local green certifications. Our results suggest that Energy Star certification increases the sales prices of homes built between 1995 and 2006 but has no statistically significant effect on sales prices for newer homes.
This report provides information on how supporting access to building benchmarking data can help utilities increase efficiency and drive down energy demand.
This report provides information on how energy use data access can help state governments lead by example through benchmarking and disclosing results and implement benchmarking policies for the private sector.
This paper explores ways in which program administrators are using social norms to spur behavior change and, as a result, curb energy use. In recent years, home energy reports (HER) programs have applied the concept of social norms to the energy efficiency context. These feedback programs inform customers of how their energy consumption compares to their neighbors' and provide other information about their usage, with the goal of enticing customers to change their energy use behavior to improve their relative neighborhood ranking.
This study provides statistically significant analysis that ENERGY STAR qualified new homes sell faster (i.e., fewer days on the market) and for higher prices (i.e., sell for higher prices, or sell for a greater percentage of the listing price, or have a higher price per square foot) than comparable nonqualified homes, providing valuable evidence that there is a market advantage for ENERGY STAR qualified homes.
This report identifies issues associated with developing a national evaluation, measurement, and verification (EM&V) standard for end-use, non-transportation, energy efficiency activities.
This report provides an overview of evaluation, measurement, and verification approaches used to estimate the load impacts and effectiveness of energy efficiency programs.