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Scaling solar in dense cities: The availability and affordability of distributed photovoltaics (DSPV) electricity in Shenzhen

Author

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  • Zhang, Kai
  • Ma, Peifeng
  • Xu, Yuan

Abstract

The availability and affordability of renewable energy are crucial for energy transition. This study develops a geospatial–techno-economic framework to evaluate DSPV potential and costs across Shenzhen's scattered, irregular, and diverse (SID) spaces, focusing on rooftops, building façades, and road noise barriers. Leveraging building vectors with height attributes, a shadow analysis model and solar ray-tracing algorithms were employed to quantify the effects of mutual shading and surface inclination that significantly compromise the capacity factors of PV. High-resolution irradiation data, meteorological parameters, and an irradiation model were utilized. The levelized cost of electricity (LCOE) is analyzed based on installation costs, operational expenses, and other market-driven parameters. The results reveal that rooftops, building facades, and RNBs' PV electricity generation potentials are 21,165 GWh/year, 85,131 GWh/year, and 5.43 GWh/year, respectively, almost equivalent to 94% of Shenzhen's annual electricity demand in 2023. Affordability is a much bigger concern with their LCOE ranges being 0.020–0.421 USD/kWh, 0.058–0.261 USD/kWh, and 0.090–1.404 USD/kWh under different scenarios, respectively. These findings illustrate that spatial constraints in dense cities not only affect the availability of solar electricity but also, more importantly, its affordability.

Suggested Citation

  • Zhang, Kai & Ma, Peifeng & Xu, Yuan, 2026. "Scaling solar in dense cities: The availability and affordability of distributed photovoltaics (DSPV) electricity in Shenzhen," Renewable Energy, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:renene:v:262:y:2026:i:c:s0960148126002016
    DOI: 10.1016/j.renene.2026.125376
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    References listed on IDEAS

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    1. Berwal, Anil K. & Kumar, Sanjay & Kumari, Nisha & Kumar, Virender & Haleem, Abid, 2017. "Design and analysis of rooftop grid tied 50kW capacity Solar Photovoltaic (SPV) power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1288-1299.
    2. Aghaei, M. & Fairbrother, A. & Gok, A. & Ahmad, S. & Kazim, S. & Lobato, K. & Oreski, G. & Reinders, A. & Schmitz, J. & Theelen, M. & Yilmaz, P. & Kettle, J., 2022. "Review of degradation and failure phenomena in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Yang, Jinhao & Wu, Jinghua & Lu, Junjie & Peng, Xiangang & Yuan, Haoliang & Lai, Loi Lei, 2024. "A novel method for assessment rooftop PV potential based on remote sensing images," Renewable Energy, Elsevier, vol. 237(PC).
    4. Han, Xuejiao & Garrison, Jared & Hug, Gabriela, 2022. "Techno-economic analysis of PV-battery systems in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    5. Aquila, Giancarlo & Nakamura, Wilson Toshiro & Junior, Paulo Rotella & Souza Rocha, Luiz Celio & de Oliveira Pamplona, Edson, 2021. "Perspectives under uncertainties and risk in wind farms investments based on Omega-LCOE approach: An analysis in São Paulo state, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    6. Wang, Lunche & Qiu, Tianzhi & Zhang, Ming & Cao, Qian & Qin, Wenmin & Wang, Shaoqiang & Wang, Lizhe & Chen, Deliang & Wild, Martin, 2024. "Carbon emissions and reduction performance of photovoltaic systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    7. Mrówczyńska, Maria & Skiba, Marta & Bazan-Krzywoszańska, Anna & Sztubecka, Małgorzata, 2020. "Household standards and socio-economic aspects as a factor determining energy consumption in the city," Applied Energy, Elsevier, vol. 264(C).
    8. Raptis, P.I. & Kazadzis, S. & Psiloglou, B. & Kouremeti, N. & Kosmopoulos, P. & Kazantzidis, A., 2017. "Measurements and model simulations of solar radiation at tilted planes, towards the maximization of energy capture," Energy, Elsevier, vol. 130(C), pages 570-580.
    9. Pillot, Benjamin & de Siqueira, Sandro & Dias, João Batista, 2018. "Grid parity analysis of distributed PV generation using Monte Carlo approach: The Brazilian case," Renewable Energy, Elsevier, vol. 127(C), pages 974-988.
    10. Zhong, Teng & Zhang, Kai & Chen, Min & Wang, Yijie & Zhu, Rui & Zhang, Zhixin & Zhou, Zixuan & Qian, Zhen & Lv, Guonian & Yan, Jinyue, 2021. "Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery," Renewable Energy, Elsevier, vol. 168(C), pages 181-194.
    11. Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020. "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, vol. 144(C).
    12. Xin-gang, Zhao & Zhen, Wang, 2019. "Technology, cost, economic performance of distributed photovoltaic industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 53-64.
    13. Mohammadi, Kasra & Khorasanizadeh, Hossein, 2015. "A review of solar radiation on vertically mounted solar surfaces and proper azimuth angles in six Iranian major cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 504-518.
    14. Tang, Haida & Chai, Xingkang & Chen, Jiayu & Wan, Yang & Wang, Yuqin & Wan, Wei & Li, Chunying, 2025. "Assessment of BIPV power generation potential at the city scale based on local climate zones: Combining physical simulation, machine learning and 3D building models," Renewable Energy, Elsevier, vol. 244(C).
    15. Hassan Gholami & Harald Nils Røstvik, 2021. "Levelised Cost of Electricity (LCOE) of Building Integrated Photovoltaics (BIPV) in Europe, Rational Feed-In Tariffs and Subsidies," Energies, MDPI, vol. 14(9), pages 1-15, April.
    16. Demain, Colienne & Journée, Michel & Bertrand, Cédric, 2013. "Evaluation of different models to estimate the global solar radiation on inclined surfaces," Renewable Energy, Elsevier, vol. 50(C), pages 710-721.
    17. Benabadji, Ahmed Soheyb & Rahmoun, Khadidja & Bahar, Faten Attig & Dahani, Abir & Martinez, Abel & Iglesias, Gregorio, 2025. "Geospatial LCOE analysis for floating offshore wind energy in SW Mediterranean Sea," Renewable Energy, Elsevier, vol. 245(C).
    18. Wu, Jingwen & Qi, Yiyun & Guan, Xinyi & Wu, Xiaomin & Li, Hui, 2024. "Farmers’ attitudes and adoption preferences toward household solar photovoltaics: A survey from Guangdong Province in China," Renewable Energy, Elsevier, vol. 225(C).
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