This case study highlights the low-income programs of Efficiency Vermont, the nation’s first public energy efficiency utility, which aims to reduce these customers' high energy burden, freeing up money that they can spend on food, housing, and other necessities. These low-income programs have saved enough electricity to power nearly 8,000 Vermont households for a year and offer solutions that eliminate or reduce up-front costs for residents, a typical barrier to improving energy efficiency in low-income households. Its multifamily energy efficiency program helps renters and building owners save energy, addressing the “split incentive” barrier in which owners have little reason to invest in efficiency measures that benefit tenants who pay their own energy bills.
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This document profiles the Chicago-area non-profit Elevate Energy, which offers a full-service energy efficiency retrofit program for owners of and tenants in affordable multifamily buildings in eleven states.
With project funding from Energize NY PACE and incentives from NYSERDA's Multifamily program, Natlew Corporation was able to make energy efficiency upgrades to their multifamily affordable housing complex in Mount Vernon, NY.
This case study addresses multifamily energy upgrade experiences by two members of the Better Buildings Residential Network—Elevate Energy and the International Center for Appropriate and Sustainable Technology (ICAST).
In this project, the U.S. Department of Energy Building America team Partnership for Advanced Residential Retrofit (PARR) worked with Elevate Energy on three tasks: to conduct pre- and post-retrofit analysis on the income and expense data of 13 Chicago-area multifamily buildings, to compare Chicago income and expense data to two national samples, and to explore the ramifications that energy-efficiency retrofits have on nine Chicago-area neighborhoods.
A Field Guide to Utility-Run Behavior Programs: Making Sense of Variety
This webcast covers a report that is a comparative analysis of utility-run behavior programs, which lays the groundwork for further program development by developing a classification scheme, or taxonomy, that sorts programs into discrete categories.