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Sustainability and structural resilience of building integrated photovoltaics subjected to typhoon strength winds

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  • Pantua, Conrad Allan Jay
  • Calautit, John Kaiser
  • Wu, Yupeng

Abstract

The Western Pacific sees more tropical typhoons and storms annually as compared to other ocean basins. The destructive typhoons caused economic and infrastructure damage and have left many devastated communities. The use of solar photovoltaic power is also increasing, and in the event of extended power cuts, it can provide power to the affected communities, particularly during the response and recovery periods. However, solar installations are also vulnerable to typhoon-force winds and can suffer extensive damages. Currently, limited work has been conducted on approaches that optimise solar panels installation in low-rise residential buildings in terms of structural and energy performance. A solution that can reduce solar installation damage and frequency is necessary, especially for developing countries. A framework based on fluid–structure interaction (FSI) modelling and building energy simulation (BES) was proposed to evaluate roof-mounted solar panels' structural and energy performance. The FSI simulation was carried out for a typical low-rise building design with solar panels subjected to typhoon-strength approach winds. Different configurations were simulated in BES to predict the building energy demand and optimise the solar photovoltaic energy generation. Based on the evaluated configurations and conditions, it was observed that the panels failed on the roof’s leeward side, and maximum destruction occurs at 45° wind direction. A balance between structural resilience and energy generation was observed for the building with a roof pitch of 37°, sustaining the occupant's energy requirements even in the face of typhoons and other extreme storms. The framework proposed in this study can support decision-makers and stakeholders in planning and designing typhoon resilient solar PV rooftop installations.

Suggested Citation

  • Pantua, Conrad Allan Jay & Calautit, John Kaiser & Wu, Yupeng, 2021. "Sustainability and structural resilience of building integrated photovoltaics subjected to typhoon strength winds," Applied Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:appene:v:301:y:2021:i:c:s030626192100828x
    DOI: 10.1016/j.apenergy.2021.117437
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    References listed on IDEAS

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    1. Wei, Shuangyu & Tien, Paige Wenbin & Calautit, John Kaiser & Wu, Yupeng & Boukhanouf, Rabah, 2020. "Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method," Applied Energy, Elsevier, vol. 277(C).
    2. Ghasemi-Mobtaker, Hassan & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2020. "Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran," Renewable Energy, Elsevier, vol. 160(C), pages 1316-1334.
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    4. Calautit, John Kaiser & Hughes, Ben Richard & Nasir, Diana SNM, 2017. "Climatic analysis of a passive cooling technology for the built environment in hot countries," Applied Energy, Elsevier, vol. 186(P3), pages 321-335.
    5. Nabavi-Pelesaraei, Ashkan & Azadi, Hossein & Van Passel, Steven & Saber, Zahra & Hosseini-Fashami, Fatemeh & Mostashari-Rad, Fatemeh & Ghasemi-Mobtaker, Hassan, 2021. "Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment," Energy, Elsevier, vol. 223(C).
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    1. Choi, Seok Min & Park, Chang-Dae & Cho, Sung-Hoon & Lim, Byung-Ju, 2022. "Effects of wind loads on the solar panel array of a floating photovoltaic system – Experimental study and economic analysis," Energy, Elsevier, vol. 256(C).
    2. Sun, Chenhao & Xu, Hao & Zeng, Xiangjun & Wang, Wen & Jiang, Fei & Yang, Xin, 2023. "A vulnerability spatiotemporal distribution prognosis framework for integrated energy systems within intricate data scenes according to importance-fuzzy high-utility pattern identification," Applied Energy, Elsevier, vol. 344(C).

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