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A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts

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  • Bao, Qifang
  • Sinitskaya, Ekaterina
  • Gomez, Kelley J.
  • MacDonald, Erin F.
  • Yang, Maria C.

Abstract

The adoption rate of residential solar photovoltaic (PV) systems in the US has grown exponentially in the past two decades. However, from a human-centered design perspective, there is a lack of clear understanding of what current users need and want from solar PV systems and from the experience of installing solar. In this study, we interviewed 18 solar stakeholders and conducted surveys of 1,773 homeowners including both solar adopters and non-adopters in California and Massachusetts. We analyzed the data using discrete choice theory and showed that cost savings, solar system reliability, installer warranty, and reviewer ratings of the installer were the most important factors when these homeowners considered purchasing a solar system. Preference differences were discovered between adopters and non-adopters, and with state, age, and income. Via surveys of current solar adopters’ experiences of installing residential solar panels, we found that solar owners ranked installer reliability as even more important than price. The findings are intended to inform designers, engineers, and manufacturers as they create more compelling residential solar PV systems and to inform installers in designing better installation services. The ultimate goal is to promote renewable energy technology and reduce global greenhouse gas emissions.

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  • Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    • Handle: RePEc:eee:renene:v:151:y:2020:i:c:p:503-513
    DOI: 10.1016/j.renene.2019.11.047
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    as
    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Stropnik, Rok & Stritih, Uroš, 2016. "Increasing the efficiency of PV panel with the use of PCM," Renewable Energy, Elsevier, vol. 97(C), pages 671-679.
    3. van Rijnsoever, Frank J. & van Mossel, Allard & Broecks, Kevin P.F., 2015. "Public acceptance of energy technologies: The effects of labeling, time, and heterogeneity in a discrete choice experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 817-829.
    4. Drury, Easan & Miller, Mackay & Macal, Charles M. & Graziano, Diane J. & Heimiller, Donna & Ozik, Jonathan & Perry IV, Thomas D., 2012. "The transformation of southern California's residential photovoltaics market through third-party ownership," Energy Policy, Elsevier, vol. 42(C), pages 681-690.
    5. Faiers, Adam & Neame, Charles & Cook, Matt, 2007. "The adoption of domestic solar-power systems: Do consumers assess product attributes in a stepwise process?," Energy Policy, Elsevier, vol. 35(6), pages 3418-3423, June.
    6. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
    7. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    8. Bao, Qifang & Honda, Tomonori & El Ferik, Sami & Shaukat, Mian Mobeen & Yang, Maria C., 2017. "Understanding the role of visual appeal in consumer preference for residential solar panels," Renewable Energy, Elsevier, vol. 113(C), pages 1569-1579.
    9. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
    10. Karakaya, Emrah & Hidalgo, Antonio & Nuur, Cali, 2015. "Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1090-1098.
    11. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    12. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    13. Jessika E. Trancik, 2014. "Renewable energy: Back the renewables boom," Nature, Nature, vol. 507(7492), pages 300-302, March.
    14. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    15. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    16. Ostlund, Lyman E, 1974. "Perceived Innovation Attributes as Predictors of Innovativeness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(2), pages 23-29, Se.
    17. Vasseur, Véronique & Kemp, René, 2015. "The adoption of PV in the Netherlands: A statistical analysis of adoption factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 483-494.
    18. Gaglia, Athina G. & Lykoudis, Spyros & Argiriou, Athanassios A. & Balaras, Constantinos A. & Dialynas, Evangelos, 2017. "Energy efficiency of PV panels under real outdoor conditions–An experimental assessment in Athens, Greece," Renewable Energy, Elsevier, vol. 101(C), pages 236-243.
    19. Ku, Se-Ju & Yoo, Seung-Hoon, 2010. "Willingness to pay for renewable energy investment in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2196-2201, October.
    20. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    21. Islam, Towhidul & Meade, Nigel, 2013. "The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation," Energy Policy, Elsevier, vol. 55(C), pages 521-530.
    22. Mundada, Aishwarya S. & Prehoda, Emily W. & Pearce, Joshua M., 2017. "U.S. market for solar photovoltaic plug-and-play systems," Renewable Energy, Elsevier, vol. 103(C), pages 255-264.
    23. Claudy, Marius C. & Michelsen, Claus & O'Driscoll, Aidan, 2011. "The diffusion of microgeneration technologies - assessing the influence of perceived product characteristics on home owners' willingness to pay," Energy Policy, Elsevier, vol. 39(3), pages 1459-1469, March.
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