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Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey

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  • Kurdgelashvili, Lado
  • Li, Junli
  • Shih, Cheng-Hao
  • Attia, Benjamin

Abstract

Due to the explosive growth of cumulative installed capacity of solar photovoltaic technology across the US in the last five years, industry attention has started to shift to understanding market saturation levels, at which year-over-year growth would be expected to decline significantly. On the residential and commercial scales, the saturation point in the market for distributed PV installations is directly dependent on physical roof space availability. This paper details the multi-level estimation methodology used to estimate rooftop PV potential in the commercial and residential sectors in three leading states: California, Arizona, and New Jersey, which combined account for two-thirds of the cumulative installed PV capacity in the U.S. The estimation methodology shows significant growth potential for rooftop PV in the residential and commercial sectors in these leading states, conservatively estimating that rooftop PV could provide 35%, 43%, and 61% of state electricity demand in New Jersey, Arizona, and California, respectively. According to the results of this analysis, these states could increase current installed distributed PV capacity by 20 times, 30 times, and 40 times, respectively.

Suggested Citation

  • Kurdgelashvili, Lado & Li, Junli & Shih, Cheng-Hao & Attia, Benjamin, 2016. "Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey," Renewable Energy, Elsevier, vol. 95(C), pages 286-302.
    • Handle: RePEc:eee:renene:v:95:y:2016:i:c:p:286-302
    DOI: 10.1016/j.renene.2016.03.105
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    References listed on IDEAS

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    1. Byrne, John & Taminiau, Job & Kurdgelashvili, Lado & Kim, Kyung Nam, 2015. "A review of the solar city concept and methods to assess rooftop solar electric potential, with an illustrative application to the city of Seoul," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 830-844.
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    1. Lee, Jongsung & Chang, Byungik & Aktas, Can & Gorthala, Ravi, 2016. "Economic feasibility of campus-wide photovoltaic systems in New England," Renewable Energy, Elsevier, vol. 99(C), pages 452-464.
    2. Stanley Risch & Rachel Maier & Junsong Du & Noah Pflugradt & Peter Stenzel & Leander Kotzur & Detlef Stolten, 2022. "Potentials of Renewable Energy Sources in Germany and the Influence of Land Use Datasets," Energies, MDPI, vol. 15(15), pages 1-25, July.
    3. Sredenšek, Klemen & Štumberger, Bojan & Hadžiselimović, Miralem & Mavsar, Primož & Seme, Sebastijan, 2022. "Physical, geographical, technical, and economic potential for the optimal configuration of photovoltaic systems using a digital surface model and optimization method," Energy, Elsevier, vol. 242(C).
    4. Ural Kafle & Timothy Anderson & Sunil Prasad Lohani, 2023. "The Potential for Rooftop Photovoltaic Systems in Nepal," Energies, MDPI, vol. 16(2), pages 1-13, January.
    5. John Byrne & Job Taminiau & Kyung Nam Kim & Joohee Lee & Jeongseok Seo, 2017. "Multivariate analysis of solar city economics: impact of energy prices, policy, finance, and cost on urban photovoltaic power plant implementation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(4), July.
    6. Xiaoyang Song & Yaohuan Huang & Chuanpeng Zhao & Yuxin Liu & Yanguo Lu & Yongguo Chang & Jie Yang, 2018. "An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images," Energies, MDPI, vol. 11(11), pages 1-14, November.
    7. Kurdgelashvili, Lado & Shih, Cheng-Hao & Yang, Fan & Garg, Mehul, 2019. "An empirical analysis of county-level residential PV adoption in California," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 321-333.
    8. Alhammami, Hasan & An, Heungjo, 2021. "Techno-economic analysis and policy implications for promoting residential rooftop solar photovoltaics in Abu Dhabi, UAE," Renewable Energy, Elsevier, vol. 167(C), pages 359-368.
    9. Dehwah, Ammar H.A. & Asif, Muhammad, 2019. "Assessment of net energy contribution to buildings by rooftop photovoltaic systems in hot-humid climates," Renewable Energy, Elsevier, vol. 131(C), pages 1288-1299.
    10. Gomez-Exposito, Antonio & Arcos-Vargas, Angel & Gutierrez-Garcia, Francisco, 2020. "On the potential contribution of rooftop PV to a sustainable electricity mix: The case of Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    11. Lee, Minhyun & Hong, Taehoon & Jeong, Jaewook & Jeong, Kwangbok, 2018. "Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level," Energy, Elsevier, vol. 160(C), pages 213-224.
    12. Lee, Minhyun & Hong, Taehoon & Jeong, Kwangbok & Kim, Jimin, 2018. "A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity," Applied Energy, Elsevier, vol. 232(C), pages 640-656.
    13. Abdullah Shaher & Saad Alqahtani & Ali Garada & Liana Cipcigan, 2023. "Rooftop Solar Photovoltaic in Saudi Arabia to Supply Electricity Demand in Localised Urban Areas: A Study of the City of Abha," Energies, MDPI, vol. 16(11), pages 1-24, May.
    14. Primož Mavsar & Klemen Sredenšek & Bojan Štumberger & Miralem Hadžiselimović & Sebastijan Seme, 2019. "Simplified Method for Analyzing the Availability of Rooftop Photovoltaic Potential," Energies, MDPI, vol. 12(22), pages 1-17, November.

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