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Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

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This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar.

Three different household-level surveys were fielded: one for households who had installed PV on their current home or had signed a contract to do so (the Adopter survey), one for households that had seriously considered PV but had not installed it (the Considerer survey), and one for the general population who did not have PV on their current home (the general population survey or GPS). Survey respondents were from four U.S. states: New Jersey, New York, Arizona, and California. Details of recruiting and sampling are documented below.

Research projects on residential PV adoption often collect data only from PV adopters or from the general population. One of the innovations of this project was the three-pronged household survey data collection. By collecting similar data from three fairly different "statuses" with respect to adoption, the surveys provide a basis for understanding how those who do not have rooftop PV differ from those who have, for how and why people do (or don't) transition from not having to having rooftop PV on their home, and for understanding the characteristics and viewpoints of households who have scarcely, or not at all, entered the "PV consideration" track. All three surveys covered single-family owner-occupied households in each of the four target states used in the project -- Arizona, California, New Jersey, and New York - allowing a comparative approach to understanding how the factors that affect PV adoption vary by geography and policy conditions.

The General Population and Considerer surveys provide a basis for understanding opinions about and interest in solar, and how these relate to household demographics and other conditions. Paired with the Adopter survey, they also provide data for understanding how those who do not have rooftop PV differ from those who have, and for how and why people do (or don't) transition from not having to having rooftop PV on their home. The Adopter survey questions were designed to capture a broad range of information on what motivates and impedes households to install rooftop PV, as well as the details and timing of the decision and installation. Survey instrument development drew from existing PV adoption survey instruments, PV adoption literature, and research team experience, as well as from past work on household interest in energy efficiency, environmental attitudes, purchasing tendencies, and related knowledge. Early interviews and discussions with installers and others in the PV industry were also taken into consideration.

Citation Formats

TY - DATA AB - This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. Three different household-level surveys were fielded: one for households who had installed PV on their current home or had signed a contract to do so (the Adopter survey), one for households that had seriously considered PV but had not installed it (the Considerer survey), and one for the general population who did not have PV on their current home (the general population survey or GPS). Survey respondents were from four U.S. states: New Jersey, New York, Arizona, and California. Details of recruiting and sampling are documented below. Research projects on residential PV adoption often collect data only from PV adopters or from the general population. One of the innovations of this project was the three-pronged household survey data collection. By collecting similar data from three fairly different "statuses" with respect to adoption, the surveys provide a basis for understanding how those who do not have rooftop PV differ from those who have, for how and why people do (or don't) transition from not having to having rooftop PV on their home, and for understanding the characteristics and viewpoints of households who have scarcely, or not at all, entered the "PV consideration" track. All three surveys covered single-family owner-occupied households in each of the four target states used in the project -- Arizona, California, New Jersey, and New York - allowing a comparative approach to understanding how the factors that affect PV adoption vary by geography and policy conditions. The General Population and Considerer surveys provide a basis for understanding opinions about and interest in solar, and how these relate to household demographics and other conditions. Paired with the Adopter survey, they also provide data for understanding how those who do not have rooftop PV differ from those who have, and for how and why people do (or don't) transition from not having to having rooftop PV on their home. The Adopter survey questions were designed to capture a broad range of information on what motivates and impedes households to install rooftop PV, as well as the details and timing of the decision and installation. Survey instrument development drew from existing PV adoption survey instruments, PV adoption literature, and research team experience, as well as from past work on household interest in energy efficiency, environmental attitudes, purchasing tendencies, and related knowledge. Early interviews and discussions with installers and others in the PV industry were also taken into consideration. AU - Sigrin, Ben A2 - Dietz, Tom A3 - Henry, Adam A4 - Ingle, Aaron A5 - Lutzenhiser, Loren A6 - Moezzi, Mithra A7 - Spielman, Seth A8 - Stern, Paul A9 - Todd, Annika A10 - Tong, James A11 - Wolske, Kim DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - Residential Solar KW - Surveys KW - SEEDS KW - Technology Adoption KW - Customer KW - solar photovoltaic KW - PV KW - solar adoption KW - rooftop KW - pv consideration KW - Arizona KW - California KW - New Jersey KW - New York KW - geographic consideration KW - USA LA - English DA - 2017/05/22 PY - 2017 PB - National Renewable Energy Laboratory T1 - Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data UR - https://data.openei.org/submissions/8162 ER -
Export Citation to RIS
Sigrin, Ben, et al. Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data. National Renewable Energy Laboratory, 22 May, 2017, NREL. https://data.nlr.gov/submissions/68.
Sigrin, B., Dietz, T., Henry, A., Ingle, A., Lutzenhiser, L., Moezzi, M., Spielman, S., Stern, P., Todd, A., Tong, J., & Wolske, K. (2017). Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nlr.gov/submissions/68
Sigrin, Ben, Tom Dietz, Adam Henry, Aaron Ingle, Loren Lutzenhiser, Mithra Moezzi, Seth Spielman, Paul Stern, Annika Todd, James Tong, and Kim Wolske. Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data. National Renewable Energy Laboratory, May, 22, 2017. Distributed by NREL. https://data.nlr.gov/submissions/68
@misc{OEDI_Dataset_8162, title = {Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data}, author = {Sigrin, Ben and Dietz, Tom and Henry, Adam and Ingle, Aaron and Lutzenhiser, Loren and Moezzi, Mithra and Spielman, Seth and Stern, Paul and Todd, Annika and Tong, James and Wolske, Kim}, abstractNote = {This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar.

Three different household-level surveys were fielded: one for households who had installed PV on their current home or had signed a contract to do so (the Adopter survey), one for households that had seriously considered PV but had not installed it (the Considerer survey), and one for the general population who did not have PV on their current home (the general population survey or GPS). Survey respondents were from four U.S. states: New Jersey, New York, Arizona, and California. Details of recruiting and sampling are documented below.

Research projects on residential PV adoption often collect data only from PV adopters or from the general population. One of the innovations of this project was the three-pronged household survey data collection. By collecting similar data from three fairly different "statuses" with respect to adoption, the surveys provide a basis for understanding how those who do not have rooftop PV differ from those who have, for how and why people do (or don't) transition from not having to having rooftop PV on their home, and for understanding the characteristics and viewpoints of households who have scarcely, or not at all, entered the "PV consideration" track. All three surveys covered single-family owner-occupied households in each of the four target states used in the project -- Arizona, California, New Jersey, and New York - allowing a comparative approach to understanding how the factors that affect PV adoption vary by geography and policy conditions.

The General Population and Considerer surveys provide a basis for understanding opinions about and interest in solar, and how these relate to household demographics and other conditions. Paired with the Adopter survey, they also provide data for understanding how those who do not have rooftop PV differ from those who have, and for how and why people do (or don't) transition from not having to having rooftop PV on their home. The Adopter survey questions were designed to capture a broad range of information on what motivates and impedes households to install rooftop PV, as well as the details and timing of the decision and installation. Survey instrument development drew from existing PV adoption survey instruments, PV adoption literature, and research team experience, as well as from past work on household interest in energy efficiency, environmental attitudes, purchasing tendencies, and related knowledge. Early interviews and discussions with installers and others in the PV industry were also taken into consideration. }, url = {https://data.nlr.gov/submissions/68}, year = {2017}, howpublished = {NREL, National Renewable Energy Laboratory, https://data.nlr.gov/submissions/68}, note = {Accessed: 2026-07-11} }

Details

Data from May 22, 2017

Last updated Mar 12, 2026

Submitted May 22, 2017

Organization

National Renewable Energy Laboratory

Contact

Ben Sigrin

Authors

Ben Sigrin

National Renewable Energy Laboratory

Tom Dietz

Social and Environmental Research Institute

Adam Henry

University of Arizona

Aaron Ingle

Portland State University

Loren Lutzenhiser

Portland State University

Mithra Moezzi

Portland State University

Seth Spielman

University of Colorado - Boulder

Paul Stern

Social and Environmental Research Institute

Annika Todd

Lawrence Berkeley National Laboratory

James Tong

Clean Power Finance

Kim Wolske

University of Michigan - Ann Arbor

DOE Project Details

Project Name Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Photovoltaics Markets

Project Number EE0026154

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