The key challenge with quantifying savings from end-use efficiency activities is the identification of an accurate baseline from which to determine the savings. Regardless of the protocol or procedure applied, all savings values are determined by estimating likely energy use in the absence of the program or project (the “counterfactual” scenario, or baseline). This webcast provides an introduction to considerations and common practices for defining baselines, the relationship between baselines and savings attribution, and examples of how different jurisdictions are addressing market baseline studies, setting baselines for retrofit measures, and market transformation program baselines.
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This summary from a Better Buildings Residential Network peer exchange call focused on how loan performance data is tracked and analyzed, and what the data shows.
This paper is a baseline assessment of electric and natural gas energy efficiency programs that target low-income households in the largest metropolitan areas in the country. ACEEE surveyed over 70 electric and natural gas utilities on their 2015 low-income program spending, energy savings, customer participation, and best practices.
This guide supports the development, maintenance, and use of accurate and reliable Technical Reference Manuals (TRMs). TRMs provide information to estimate the energy and demand savings of end-use energy efficiency measures associated with utility customer-funded efficiency programs. This guide describes existing TRMs in the United States and provides recommendations for TRM best practices. It also offers related background information on energy efficiency; evaluation, measurement, and verification; and TRM basics.
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.
A number of states are beginning to recognize Demand Reduction Induced Price Effects (DRIPE) as a real, quantifiable benefit of energy efficiency and demand response programs. DRIPE is a measurement of the value of demand reductions in terms of the decrease in wholesale energy prices, resulting in lower total expenditures on electricity or natural gas across a given grid. This paper reviews the existing knowledge and experience from select U.S. states regarding DRIPE (including New York and Ohio), and the potential for expanded application of the concept of DRIPE by regulators.
This Guide is designed to help state and local policymakers to take full advantage of new policy developments by providing them with a comprehensive set of tools to support launching or accelerating residential energy efficiency programs. The Guide focuses on four categories of policies that have proven particularly effective in providing a framework within which residential energy efficiency programs can thrive: incentives and financing, making the value of energy efficiency visible in the real estate market, data access and standardization, and supporting utility system procurement of energy efficiency.
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 report helps policymakers understand how electric and natural gas utilities can achieve greater efficiency by establishing numeric energy savings targets and goals for energy efficiency programs.
This report provides information on how supporting access to building benchmarking data can help utilities increase efficiency and drive down energy demand.
This report consists of a literature review and in-depth interviews with subject matter experts in the Home Performance with ENERGY STAR (HPwES) program area. The goal was to compare Delaware Sustainable Energy Utility (DESEU) HPwES Programs with peer-programs across the United States. The report also identifies key metrics and emerging trends regarding program design.
This report presents impact evaluation results for the Energy Savers program for large multi-family buildings. The Energy Savers program is run by CNT Energy and Community Investment Corporation. Initiated in January 2008 and now in its fifth year of existence, the Energy Savers program involves a variety of services to promote energy efficiency improvements for multi-family residential buildings of 5-50 units in the affordable housing market segment.
Better Buildings Energy Data Accelerator (BBEDA) partners Salt Lake City, the investor-owned electric utility Rocky Mountain Power (RMP), and the investor-owned natural gas utility Questar worked with community stakeholders throughout 2014 and 2015 to design and implement a data access solution. As a result, RMP created a data access portal for its customers in 2016, and Questar is working toward a data access solution that will be operational by 2017.