This report discusses how information technologies (IT) and communication networks are enabling new ways of tracking and analyzing the benefits of saving energy. Automated data collection and processing, enabled by inexpensive sensors, WiFi networks, and cloud computing, are reducing the time and expense required to determine the value of nonenergy benefits. This report explores new techniques for data gathering and analysis, what they could mean for energy efficiency programs, and how they might impact state and utility policies.
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This report looks into residential lighting savings assumptions found in Technical Reference Manuals (TRMs) throughout the Northeast and Mid-Atlantic regions to understand what values were being used for key metrics such as hours of use, delta watt, and measure life. It provides the opportunity to view completed Standardized Methods Forms to compare evaluation methodology and results.
This guide provides recommended benchmarking metrics for measuring residential program performance.
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 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.
SEEA created this document to inform the planning, design and delivery of early-stage energy efficiency programs in the Southeast. This document captures general concepts essential to the successful development and implementation of robust program portfolios, as well as lessons learned from prior experience on the regional and national levels.
This publication presents examples of the value that insights from behavior analytics can provide to programs (as well as pointing out its limitations).
This report offers policy options and considerations to state utility commissions in providing access to energy use data to help commercial customers manage energy costs through building energy benchmarking.
This study examines actual loan performance data obtained from CoreLogic, the lending industry’s leading source of such data. To assess whether residential energy efficiency is associated with lower default and prepayment risks, a national sample of about 71,000 ENERGY STAR and non-ENERGY STAR-rated single-family home mortgages was carefully constructed, accounting for loan, household, and neighborhood characteristics. The study finds that default risks are on average 32 percent lower in energy-efficient homes, controlling for other loan determinants.
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 document provides sample policy language based on a synthesis of existing state and local policies, and discussion on key provisions, for the design of a commercial benchmarking and disclosure policy.
This report provides information on how access to energy use data can help local governments create policies for benchmarking and disclosing building energy performance for public and private sector buildings.
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 report is intended to serve as a guide for policymakers and multifamily stakeholders on benchmarking and disclosure rules and regulations. It provides an introduction to the multifamily housing sector, followed by a thorough review of existing benchmarking and disclosure policies and an assessment of continuing policy challenges and opportunities.
This report describes how customer usage data can help promote the adoption of retro-commissioning polices for public and private commercial buildings.
This report provides policymakers with principles and recommendations to understand and manage concerns about bill and rate impacts resulting from requiring utilities to provide efficiency programs.
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 presents the results of a scoping study to assess the need for national databases that can support best practices in energy efficiency program evaluation, measurement, and verification (EM&V).
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 analyzes the energy efficiency opportunity presented to the greater Cincinnati region. Analysis of the region and the Greater Cincinnati Energy Alliance (GCEA) programs shows potential energy cost savings, including positive cash flow from energy cost savings that consistently exceed loan payments, for both residential and nonprofit participants. Investment in energy efficiency could make counties more competitive, create jobs, reduce pollution, and help homeowners and nonprofits make cross-cutting building improvements.
Flowcharts showing the key program elements (financing; workforce development; marketing and outreach; and data, evaluation; and reporting).
This report provides an overview of evaluation, measurement, and verification approaches used to estimate the load impacts and effectiveness of energy efficiency programs.
The report presents an analysis of the market performance of third-party certified sustainable residential properties in the Portland and Seattle metropolitan areas. In each location, a sample of third-party certified homes was selected and comparable homes were found. The author documents that certified homes in the Seattle metro area sold at a price premium of 9.6% when compared to noncertified counterparts.
This report discusses the five standard tests used to assess the cost-effectiveness of energy efficiency, how states use the tests, and how the tests can determine the cost-effectiveness of efficiency measures.