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Urban morphology indicators and solar radiation acquisition: 2011–2022 review

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  • Liu, Bo
  • Liu, Yu
  • Cho, Seigen
  • Chow, David Hou Chi

Abstract

Urban morphology directly influences the potential of solar radiation acquisition in urban areas. Urban morphology indicators play a pivotal role in the characterization of urban morphology. However, the developmental trajectory and advancements in the research of the correlation of urban morphology indicators with solar radiation acquisition have not been thoroughly elucidated. A retrospective analysis of 258 relevant studies have been published from 2011 to 2022, which was performed by using statistical methods. Aspects such as research objects, content, tools, methods, urban morphology indicators, relationship of solar radiation acquisition, and conclusions were then reviewed. The aim was to provide a foundational support for further research development. The results indicated a consistent research path, with many studies exploring the relationship between specific urban morphology indicators and solar radiation acquisition through theoretical simulations and correlation analyses. A total of 111 urban morphology indicators were identified from finished studies, among which 50, 34, and 27 showed positive, negative, and no correlation with solar radiation acquisition, respectively. Among the 13 commonly used urban morphology indicators, building density, plot ratio, street canyon aspect ratio, verticality, and building height difference showed a significant negative correlation with solar radiation acquisition while building height, shape factor, window-to-wall ratio, building interval, building height variation, and sky view factor showed a significant positive correlation. Different boundary conditions led to differences in research conclusions. In addition, there was a possibility for a mutual substitution between some highly correlated urban morphology indicators.

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  • Liu, Bo & Liu, Yu & Cho, Seigen & Chow, David Hou Chi, 2024. "Urban morphology indicators and solar radiation acquisition: 2011–2022 review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:rensus:v:199:y:2024:i:c:s1364032124002715
    DOI: 10.1016/j.rser.2024.114548
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    References listed on IDEAS

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    1. 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.
    2. Zhang, Ji & Xu, Le & Shabunko, Veronika & Tay, Stephen En Rong & Sun, Huixuan & Lau, Stephen Siu Yu & Reindl, Thomas, 2019. "Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city," Applied Energy, Elsevier, vol. 240(C), pages 513-533.
    3. 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.
    4. Dan Zhu & Dexuan Song & Jie Shi & Jia Fang & Yili Zhou, 2020. "The Effect of Morphology on Solar Potential of High-Density Residential Area: A Case Study of Shanghai," Energies, MDPI, vol. 13(9), pages 1-17, May.
    5. Wang, Wei & Liu, Ke & Zhang, Muxing & Shen, Yuchi & Jing, Rui & Xu, Xiaodong, 2021. "From simulation to data-driven approach: A framework of integrating urban morphology to low-energy urban design," Renewable Energy, Elsevier, vol. 179(C), pages 2016-2035.
    6. Shiyi Song & Hong Leng & Han Xu & Ran Guo & Yan Zhao, 2020. "Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    7. Mohajeri, N. & Gudmundsson, A. & Kunckler, T. & Upadhyay, G. & Assouline, D. & Kämpf, J.H & Scartezzini, J.L., 2019. "A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland," Applied Energy, Elsevier, vol. 240(C), pages 173-190.
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