This guidance document provides background and instructions for program administrators to use the data collected by smart thermostats to calculate energy savings for a program.
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This toolkit is a comprehensive guide to utility benchmarking for the multifamily sector. Benchmarking 101 describes the benefits of tracking utility data and explains how to begin the process. Utility Benchmarking Step-by-Step outlines a six-step approach to utility benchmarking. Policies and Programs summarizes utility benchmarking requirements for HUD programs, opportunities for financial assistance, and HUD programs that support green retrofits.
The Energy Data Accelerator Toolkit is a collection of resources featured in the Better Buildings Solution Center that will enable other utilities and communities to learn and benefit from the work of the Accelerator. It describes the best practices that enabled cities, utilities, and other stakeholders to overcome whole-building data access barriers.
This document summarizes the findings of a Pacific Northwest National Laboratory analysis on how whole-building data aggregation thresholds statistically affect customer privacy.
The Building Energy Data Exchange Specification (BEDES, pronounced "beads" or /bi:ds/) is designed to support analysis of the measured energy performance of commercial, multifamily, and residential buildings, by providing a common data format, definitions, and an exchange protocol for building characteristics, efficiency measures, and energy use.
The energy efficiency reporting tool for public power utilities is an Excel-based template is designed to produce consistent, useful metrics on program investments and performance for small to medium-sized administrators of public power efficiency programs.
This online tool was designed to help Americans save money and energy by improving the energy efficiency of their homes through recommended, customized, and prioritized home improvement projects. The tool guides homeowners through a do-it-yourself energy assessment to create an ENERGY STAR home profile. Based on the newly created profile, the tool provides customized, prioritized recommendations for improvements. From these recommendations, users can create their own to-do lists of projects and update their home profiles over time as they make improvements. The home profiles can also be printed and used as a marketing advantage when homeowners sell their homes.
This document provides guidance on how policymakers, utilities, and regulators should approach whole-building data access to maintain the confidentiality of utility customers.
National Housing & Rehabilitation Association has collected a number of energy efficiency factsheets and resources on their Preservation Through Energy Efficiency Initiative Library.
This resource, provided by DOE, presents energy market information to help state and local governments plan and implement clean energy projects. The resource also includes a local energy toolbox that provides a cataloged, customizable list of actions to help local communities make strategic energy decisions.
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.
This report presents an analysis of data for residential single-family projects reported by 37 organizations that were awarded federal financial assistance (cooperative agreements or grants) by the U.S. Department of Energy’s Better Buildings Neighborhood Program. The report characterizes the energy-efficiency measures installed for single-family residential projects and analyzes energy savings and savings prediction accuracy for measures installed in a subset of those projects.
This guide provides recommended benchmarking metrics for measuring residential program performance.
Information and communications technologies (ICT) can automate and transform the evaluation, measurement, and verification (EM&V) of energy efficiency programs. ICT enables the remote monitoring and sophisticated analysis of energy usage, increasing the speed and scale of many EM&V activities. This report reviews traditional EM&V practices, explores new enabling technologies including the Internet of Things and remote building analysis, and describes the application of ICT to each stage of the EM&V process. The report then projects ways forward through a number of challenges (e.g., data overload) and concludes that ICT-enabled EM&V could eventually change the design of efficiency programs and the responsibilities of program administrators, implementers, and evaluators.
Home Performance with ENERGY STAR’s new HPXML Implementation Guide helps energy efficiency program administrators and software developers overcome fragmented data exchange by integrating HPXML (home performance extensible markup language) into their operations and products. HPXML is a set of common definitions for the attributes of home systems based on Building Performance Institute data standards and the computing language that facilitates the quick and easy transfer of home-related data between different markets.
The purpose of this report is to demonstrate the potential for HEMS as an evolving avenue to deeper residential energy savings, and it explains, in detail, the variations and characteristics of HEMS; what the market is and who the major market players are; what the major barriers to implementation look like; and finally, it attempts to outline potential program solutions with HEMS at the core of the strategy.
The benefits of energy efficiency extend beyond energy savings. Homes, commercial buildings, and industrial facilities gain comfort, health, and safety benefits from energy efficiency programs. Additional benefits for businesses include savings on maintenance, materials, and the costs of regulatory compliance. On the supply side, electric utilities enjoy reduced system costs. Focusing on the residential, business, and utility sectors, this report examines each of these multiple benefits, their role in program marketing, and current best practices for including them in cost-effectiveness testing.
New advanced Information and Communications Technologies (ICT) are pouring into the marketplace and are stimulating new thinking and a shift in the energy efficiency EM&V paradigm. These emerging technologies, including advanced data collection and analytic tools, are purported to provide timely analytics on program results and efficacy. This report reviews how new data analytic tools serve to help identify savings opportunities and engaging customers in programs like never before, and explores the potential for advanced data collection (e.g. AMI, smart meters) and data analytics to improve and streamline the evaluation process.
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 resource provides best practices and highlights case studies for how utilities, policymakers, building managers, and community stakeholders can improve access to energy usage data while working towards the goal of improving efficiency in their communities.
This document summarizes top takeaways shared by Better Buildings Residential Network members on Peer Exchange Calls, from tips to collaborating with utilities to cost-effective rebate models.
This Better Buildings Residential Network Partnerships Toolkit includes templates, tools, guides, and examples to help energy efficiency organizations engage in partnerships that leverage resources and strengthen their programs.
The Better Buildings Residential Network hosts a series of Peer Exchange Calls for members to discuss similar needs and challenges, and to collectively identify effective strategies and useful resources. This document provides a sample of lessons learned shared by members during Peer Exchange Calls held in fall 2014.
This document was prepared by the Regional Evaluation, Measurement and Verification Forum Cost-effectiveness screening for energy efficiency investments is fundamental to customer energy efficiency programs. It is, in essence, the benefit-cost analysis framework that helps stakeholders – including utility regulators, program administrators, and other policymakers –determine which types of energy efficiency investments represent net beneficial investments for ratepayers according to what is in the public interest based on the state’s energy policies.
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.
The objective of this Guide, in part, is to serve as a resource to support municipal electric utilities meeting electricity savings goals. This Guide serves as a resource to not only increase the understanding of best practices utilized by successful energy efficiency programs across the country, but also a plan to support MOUs implementing energy efficiency programs that will ultimately result in energy and electric bill savings for their customers. To support MOUs with the implementation of their own energy efficiency programs, this Guide leverages the lessons learned from energy efficiency programs operating across the country.
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 analyzes four home energy report programs, and presents key insights about the long-term savings implications of these programs beyond the first years of operation and after the programs concluded.
The Standard Energy Efficiency Data (SEED)™ Platform is a software application that helps organizations easily manage data on the energy performance of large groups of buildings. Users can combine data from multiple sources, clean and validate it, and share the information with others. The software application provides an easy, flexible, and cost-effective method to improve the quality and availability of data to help demonstrate the economic and environmental benefits of energy efficiency, to implement programs, and to target investment activity.
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.
The Small Town Energy Program (STEP) toolkit gives a complete overview of STEP from planning to implementation. It also includes access to a wide variety of materials developed by the program, including: local asset materials, partner materials, personnel materials, program administrative materials, outreach materials, and surveys. STEP has posted these toolkit documents with the hope that it will assist other small towns and communities in building and running more energy efficiency programs.
The State and Local Energy Efficiency Action Network (SEE Action) Evaluation, Measurement, and Verification (EM&V) Resource Portal serves as an EM&V resource one-stop shop for energy efficiency program administrators and project managers. The resources focus on tools and approaches that can be applied nationwide, address EM&V consistency, and are recognized by the industry.
The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures
This report provides a set of model protocols for determining energy and demand savings that result from specific energy efficiency measures or programs. The methods described are among the most commonly used approaches in the energy efficiency industry for certain measures or programs; they draw from the existing body of research and best practices for energy efficiency evaluation, measurement, and verification (EM&V).
This report contains guidance on issues and policy options related to providing access to customer energy use information that can be used to support and enhance the provision of energy efficiency services while protecting customer privacy.
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 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 paper describes the problems and issues that arise for energy efficiency programs as a result of common cost-effectiveness test implementation practice. It also provides recommendations for how to address these challenges.
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.
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.
The Buildings Performance Database (BPD) is the largest national dataset of real building performance data, and enables users to perform statistical analysis on an anonymous dataset of hundreds of thousands of commercial and residential buildings from across the country. One of the most powerful applications of the tool is custom peer group analysis, in which users can examine specific building types and geographic areas, compare performance trends among similar buildings, identify and prioritize cost-saving energy efficiency improvements, and assess the range of likely savings from these improvements.