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Title: A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption

Abstract

Although U.S. deployment of residential rooftop solar photovoltaic (PV) systems has accelerated in recent years, PV is still installed on less than 1 percent of single-family homes. Most research on household PV adoption focuses on scaling initial markets and modeling predicted growth rather than considering more broadly why adoption occurs. Among the studies that have investigated the characteristics of PV adoption, most collected data from adopters, sometimes with additional non-adopter data, and rarely from people who considered but did not adopt PV. Yet the vast majority of Americans are non-adopters, and they are a diverse group - understanding their ways of evaluating PV adoption is important. Similarly, PV is a unique consumer product, which makes it difficult to apply findings from studies of other technologies to PV. In addition, little research addresses the experience of households after they install PV. This report helps fill some of these gaps in the existing literature. The results inform a more detailed understanding of residential PV adoption, while helping ensure that adoption is sufficiently beneficial to adopters and even non-adopters.

Authors:
 [1];  [1];  [1];  [2]
  1. Portland State Univ., Portland, OR (United States)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1379469
Report Number(s):
NREL/SR-6A20-67727
DOE Contract Number:
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; rooftop solar; adoption; adopters; considerers; general population; photovoltaic

Citation Formats

Moezzi, Mithra, Ingle, Aaron, Lutzenhiser, Loren, and Sigrin, Benjamin O. A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption. United States: N. p., 2017. Web. doi:10.2172/1379469.
Moezzi, Mithra, Ingle, Aaron, Lutzenhiser, Loren, & Sigrin, Benjamin O. A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption. United States. doi:10.2172/1379469.
Moezzi, Mithra, Ingle, Aaron, Lutzenhiser, Loren, and Sigrin, Benjamin O. Fri . "A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption". United States. doi:10.2172/1379469. https://www.osti.gov/servlets/purl/1379469.
@article{osti_1379469,
title = {A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption},
author = {Moezzi, Mithra and Ingle, Aaron and Lutzenhiser, Loren and Sigrin, Benjamin O.},
abstractNote = {Although U.S. deployment of residential rooftop solar photovoltaic (PV) systems has accelerated in recent years, PV is still installed on less than 1 percent of single-family homes. Most research on household PV adoption focuses on scaling initial markets and modeling predicted growth rather than considering more broadly why adoption occurs. Among the studies that have investigated the characteristics of PV adoption, most collected data from adopters, sometimes with additional non-adopter data, and rarely from people who considered but did not adopt PV. Yet the vast majority of Americans are non-adopters, and they are a diverse group - understanding their ways of evaluating PV adoption is important. Similarly, PV is a unique consumer product, which makes it difficult to apply findings from studies of other technologies to PV. In addition, little research addresses the experience of households after they install PV. This report helps fill some of these gaps in the existing literature. The results inform a more detailed understanding of residential PV adoption, while helping ensure that adoption is sufficiently beneficial to adopters and even non-adopters.},
doi = {10.2172/1379469},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 01 00:00:00 EDT 2017},
month = {Fri Sep 01 00:00:00 EDT 2017}
}

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