Income Trends of Residential PV Adopters [electronic resource] : An analysis of household-level income estimates [PowerPoint presentation].

Published:: Washington, D.C. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, 2018.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:: 37 pages : digital, PDF file
Additional Creators:: Lawrence Berkeley National Laboratory, United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

The residential photovoltaic (PV) market has expanded rapidly over the past decade, but questions exist about how equitably that growth has occurred across income groups. Prior studies have investigated this question but are often limited by narrow geographic study regions, now-dated analysis timeframes, or coarse estimates of PV-adopter incomes. At the same time, a spate of new programs and initiatives, as well as innovations in business models and product design, have emerged in recent years with the aim of making solar more accessible and affordable to broader segments of the population. Yet, many of those efforts are proceeding without robust underlying information about the income characteristics of recent residential PV adopters. This work aims to establish basic factual information about income trends among U.S. residential solar adopters, with some emphasis on low- and moderate-income (LMI) households. The analysis is unique in its relatively extensive coverage of the U.S. solar market, relying on Berkeley Lab’s Tracking the Sun dataset, which contains project-level data for the vast majority of all residential PV systems in the country (a subset of which are ultimately included in the analysis sample). This analysis is also unique in its use of household-level income estimates that provide a more-precise characterization of PV-adopter incomes than in most prior studies.

Report Numbers:

E 1.99:lbnl--2001146
lbnl--2001146

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Note:

Published through SciTech Connect.
04/09/2018.
"lbnl--2001146"
"ark:/13030/qt7p21s3nz"
Galen L. Barbose; Naim R. Darghouth; Ben Hoen; Ryan H. Wiser.

Funding Information:

AC02-05CH11231

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