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Investigation of the effect of Inter-Building Effect on the performance of semi-transparent PV glazing system

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  • Xiong, Wei
  • Liu, Zhongbing
  • Wu, Zhenghong
  • Wu, Jing
  • Su, Fanghan
  • Zhang, Ling

Abstract

Semi-transparent photovoltaic glazing (STPVG) systems integrated into buildings have been widely used in engineering projects. It not only has the lighting function of a translucent envelope but also can be used for solar power generation. However, current researches rarely consider the Inter-Building Effect (IBE) on the performance of the STPVG system. In this paper, a real-time shadow model of the building complex and an STPVG system power generation model with the shadows of the surrounding buildings are developed and validated. Then the models are used to simulate and analyze the influence of building shadow on the performance of the STPVG system. The results show that the power performance of the STPVG system decreases significantly under the shadows of the surrounding buildings. And the percentage decrease in power generation and power conversion efficiency is greater than the percentage decrease in solar radiation received by the STPVG system. The lower the building floor and the larger the building spacing, the greater the influence of the surrounding building shadow on the power performance of the STPVG system. This study helps evaluate the feasibility and energy payback period of STPVG systems and provides theoretical guidance for the application of translucent STPVG systems in buildings.

Suggested Citation

  • Xiong, Wei & Liu, Zhongbing & Wu, Zhenghong & Wu, Jing & Su, Fanghan & Zhang, Ling, 2022. "Investigation of the effect of Inter-Building Effect on the performance of semi-transparent PV glazing system," Energy, Elsevier, vol. 245(C).
  • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222000639
    DOI: 10.1016/j.energy.2022.123160
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    References listed on IDEAS

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    1. Han, Yilong & Taylor, John E. & Pisello, Anna Laura, 2017. "Exploring mutual shading and mutual reflection inter-building effects on building energy performance," Applied Energy, Elsevier, vol. 185(P2), pages 1556-1564.
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    Cited by:

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    3. Wu, Yaling & Liu, Zhongbing & Li, Benjia & Liu, Jiangyang & Zhang, Ling, 2022. "Energy management strategy and optimal battery capacity for flexible PV-battery system under time-of-use tariff," Renewable Energy, Elsevier, vol. 200(C), pages 558-570.
    4. Ren, Haoshan & Ma, Zhenjun & Chan, Antoni B. & Sun, Yongjun, 2023. "Optimal planning of municipal-scale distributed rooftop photovoltaic systems with maximized solar energy generation under constraints in high-density cities," Energy, Elsevier, vol. 263(PA).
    5. Fan, Siyuan & Wang, Xiao & Wang, Zun & Sun, Bo & Zhang, Zhenhai & Cao, Shengxian & Zhao, Bo & Wang, Yu, 2022. "A novel image enhancement algorithm to determine the dust level on photovoltaic (PV) panels," Renewable Energy, Elsevier, vol. 201(P1), pages 172-180.

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