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The effect of urban morphology on the solar capacity of three-dimensional cities

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  • Zhu, Rui
  • Wong, Man Sing
  • You, Linlin
  • Santi, Paolo
  • Nichol, Janet
  • Ho, Hung Chak
  • Lu, Lin
  • Ratti, Carlo

Abstract

As a clean and renewable resource, solar energy is increasingly being used to relieve the pressures on environmental protection and the exhaustion of conventional energy. Although photovoltaic modules have been installed in many cities, the lack of quantitative mapping of the annual solar energy potential of urban surfaces hinders the effective utilization of solar energy. Herein, we provide a solar irradiation estimation solution for three-dimensional (3D) cities to quantify annual irradiations on urban envelopes and to investigate the effect of urban morphology on the resulting solar capacity. By modelling urban surfaces as 3D point clouds, annual irradiations of the point clouds were estimated. An empirical investigation across ten cities suggests that urban areas at lower latitudes tend to have larger values of annual irradiation; moreover, an area having greater building heights consistently has the largest third quartile of irradiation compared with lower buildings in the same city. Conversely, areas with many low buildings have a larger proportion of useable areas; in this arrangement, façades can optimally utilize solar energy, meaning that large irradiations are concentrated on certain façades. The Pearson correlation coefficients between solar capacity and urban morphology indices suggest that urban morphology has an important effect on solar capacity.

Suggested Citation

  • Zhu, Rui & Wong, Man Sing & You, Linlin & Santi, Paolo & Nichol, Janet & Ho, Hung Chak & Lu, Lin & Ratti, Carlo, 2020. "The effect of urban morphology on the solar capacity of three-dimensional cities," Renewable Energy, Elsevier, vol. 153(C), pages 1111-1126.
  • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:1111-1126
    DOI: 10.1016/j.renene.2020.02.050
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    1. Dalibor Dobrilovic & Jasmina Pekez & Eleonora Desnica & Ljiljana Radovanovic & Ivan Palinkas & Milica Mazalica & Luka Djordjević & Sinisa Mihajlovic, 2023. "Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    2. Carlos Beltran-Velamazan & Marta Monzón-Chavarrías & Belinda López-Mesa, 2021. "A Method for the Automated Construction of 3D Models of Cities and Neighborhoods from Official Cadaster Data for Solar Analysis," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    3. Ye, Yuxuan & Zhu, Rui & Yan, Jinyue & Lu, Lin & Wong, Man Sing & Luo, Wei & Chen, Min & Zhang, Fan & You, Linlin & Wang, Yafei & Qin, Zheng, 2023. "Planning the installation of building-integrated photovoltaic shading devices: A GIS-based spatiotemporal analysis and optimization approach," Renewable Energy, Elsevier, vol. 216(C).
    4. Liao, Xuan & Zhu, Rui & Wong, Man Sing & Heo, Joon & Chan, P.W. & Kwok, Coco Yin Tung, 2023. "Fast and accurate estimation of solar irradiation on building rooftops in Hong Kong: A machine learning-based parameterization approach," Renewable Energy, Elsevier, vol. 216(C).
    5. Zhu, Rui & Kondor, Dániel & Cheng, Cheng & Zhang, Xiaohu & Santi, Paolo & Wong, Man Sing & Ratti, Carlo, 2022. "Solar photovoltaic generation for charging shared electric scooters," Applied Energy, Elsevier, vol. 313(C).
    6. Peng Wu & Yisheng Liu, 2023. "Impact of Urban Form at the Block Scale on Renewable Energy Application and Building Energy Efficiency," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    7. Zhu, Rui & Cheng, Cheng & Santi, Paolo & Chen, Min & Zhang, Xiaohu & Mazzarello, Martina & Wong, Man Sing & Ratti, Carlo, 2022. "Optimization of photovoltaic provision in a three-dimensional city using real-time electricity demand," Applied Energy, Elsevier, vol. 316(C).
    8. Arias-Rosales, Andrés & LeDuc, Philip R., 2023. "Urban solar harvesting: The importance of diffuse shadows in complex environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    9. Shi, Zhongming & Fonseca, Jimeno A. & Schlueter, Arno, 2021. "A parametric method using vernacular urban block typologies for investigating interactions between solar energy use and urban design," Renewable Energy, Elsevier, vol. 165(P1), pages 823-841.

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