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Investigation on the optical, thermal, and electrical performance of photovoltaic-aerogel glazing system under different weather conditions

Author

Listed:
  • Liu, Yang
  • Wang, Yujie
  • Wang, Xianling
  • Xu, Yifan
  • Li, Xueling
  • Liu, Yue
  • Chen, Youming
  • Lu, Lin
  • Wu, XueHong

Abstract

Aerogel materials have gained increasing attention in building applications due to their exceptional thermal insulation properties and optical transparency. This study proposes a photovoltaic-aerogel glazing system (PAGS), offering better energy-saving potential than conventional photovoltaic glazing systems (PVGS). A comprehensive coupled numerical model integrating optical, thermal and electrical processes was established to evaluate its performance across five climate zones in China. The key findings include: (1) The aerogel interlayer reduces PV cell temperatures by 12.9 %–21.6 % through enhanced thermal management, significantly improving power conversion efficiency; (2) PAGS performs best in Severe Cold Regions, saving 75.66 % of heating load each year. In Cold Regions and Hot-Summer Cold-Winter Regions, PAGS improves by 73.49 % and 70.42 % respectively compared to PVGS; (3) Except for the Hot-Summer Warm-Winter Regions where the best installation direction is north, the best installation direction in other areas is south; (4) Climate adaptability analysis confirms optimal performance in cold climate areas, from best to worst: Severe Cold Regions, Cold Regions, Hot-Summer Cold-Winter Regions, Temperate Regions, Hot-Summer Warm-Winter Regions. The demonstrated performance advantages position PAGS as a highly promising technology for next-generation energy-efficient buildings in cold climate applications.

Suggested Citation

  • Liu, Yang & Wang, Yujie & Wang, Xianling & Xu, Yifan & Li, Xueling & Liu, Yue & Chen, Youming & Lu, Lin & Wu, XueHong, 2025. "Investigation on the optical, thermal, and electrical performance of photovoltaic-aerogel glazing system under different weather conditions," Energy, Elsevier, vol. 326(C).
  • Handle: RePEc:eee:energy:v:326:y:2025:i:c:s0360544225019772
    DOI: 10.1016/j.energy.2025.136335
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    References listed on IDEAS

    as
    1. Zhou, Yuekuan, 2022. "A multi-stage supervised learning optimisation approach on an aerogel glazing system with stochastic uncertainty," Energy, Elsevier, vol. 258(C).
    2. Sun, Yanyi & Shanks, Katie & Baig, Hasan & Zhang, Wei & Hao, Xia & Li, Yongxue & He, Bo & Wilson, Robin & Liu, Hao & Sundaram, Senthilarasu & Zhang, Jingquan & Xie, Lingzhi & Mallick, Tapas & Wu, Yupe, 2018. "Integrated semi-transparent cadmium telluride photovoltaic glazing into windows: Energy and daylight performance for different architecture designs," Applied Energy, Elsevier, vol. 231(C), pages 972-984.
    3. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    4. Zhou, Yuekuan & Zheng, Siqian, 2020. "Climate adaptive optimal design of an aerogel glazing system with the integration of a heuristic teaching-learning-based algorithm in machine learning-based optimization," Renewable Energy, Elsevier, vol. 153(C), pages 375-391.
    5. Cheng, Yuanda & Gao, Min & Jia, Jie & Sun, Yanyi & Fan, Yi & Yu, Min, 2019. "An optimal and comparison study on daylight and overall energy performance of double-glazed photovoltaics windows in cold region of China," Energy, Elsevier, vol. 170(C), pages 356-366.
    6. Zhou, Yuekuan & Zheng, Siqian, 2020. "Stochastic uncertainty-based optimisation on an aerogel glazing building in China using supervised learning surrogate model and a heuristic optimisation algorithm," Renewable Energy, Elsevier, vol. 155(C), pages 810-826.
    7. Liu, Dingming & Sun, Yanyi & Wilson, Robin & Wu, Yupeng, 2020. "Comprehensive evaluation of window-integrated semi-transparent PV for building daylight performance," Renewable Energy, Elsevier, vol. 145(C), pages 1399-1411.
    8. Cheng, Yuanda & Gao, Min & Dong, Jiankai & Jia, Jie & Zhao, Xudong & Li, Guiqiang, 2018. "Investigation on the daylight and overall energy performance of semi-transparent photovoltaic facades in cold climatic regions of China," Applied Energy, Elsevier, vol. 232(C), pages 517-526.
    9. Zheng, Xinyao & Zhou, Yuekuan, 2023. "A three-dimensional unsteady numerical model on a novel aerogel-based PV/T-PCM system with dynamic heat-transfer mechanism and solar energy harvesting analysis," Applied Energy, Elsevier, vol. 338(C).
    10. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Wang, Xiliang & Liu, Zhongbing & Wu, Zhenghong, 2017. "Modeling of solar transmission through multilayer glazing facade using shading blinds with arbitrary geometrical and surface optical properties," Energy, Elsevier, vol. 128(C), pages 163-182.
    11. Jaesung Park & Myunghwan Oh & Chul-sung Lee, 2019. "Thermal Performance Optimization and Experimental Evaluation of Vacuum-Glazed Windows Manufactured via the In-Vacuum Method," Energies, MDPI, vol. 12(19), pages 1-19, September.
    12. Liao, Wei & Xu, Shen, 2015. "Energy performance comparison among see-through amorphous-silicon PV (photovoltaic) glazings and traditional glazings under different architectural conditions in China," Energy, Elsevier, vol. 83(C), pages 267-275.
    13. Chen, Mo & Zhang, Wei & Xie, Lingzhi & Ni, Zhichun & Wei, Qingzhu & Wang, Wei & Tian, Hao, 2019. "Experimental and numerical evaluation of the crystalline silicon PV window under the climatic conditions in southwest China," Energy, Elsevier, vol. 183(C), pages 584-598.
    14. Wang, Meng & Peng, Jinqing & Li, Nianping & Lu, Lin & Ma, Tao & Yang, Hongxing, 2016. "Assessment of energy performance of semi-transparent PV insulating glass units using a validated simulation model," Energy, Elsevier, vol. 112(C), pages 538-548.
    15. Chen, Youming & Xiao, Yaling & Zheng, Siqian & Liu, Yang & Li, Yupeng, 2018. "Dynamic heat transfer model and applicability evaluation of aerogel glazing system in various climates of China," Energy, Elsevier, vol. 163(C), pages 1115-1124.
    16. Huan Wang & Huijun Wu & Yunfei Ding & Jingchen Feng & Shengwei Wang, 2015. "Feasibility and optimization of aerogel glazing system for building energy efficiency in different climates," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 10(4), pages 412-419.
    17. Zhou, Yuekuan & Zheng, Siqian, 2020. "Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method," Energy, Elsevier, vol. 193(C).
    18. Luo, Yongqiang & Zhang, Ling & Su, Xiaosong & Liu, Zhongbing & Lian, Jinbu & Luo, Yongwei, 2019. "Improved thermal-electrical-optical model and performance assessment of a PV-blind embedded glazing façade system with complex shading effects," Applied Energy, Elsevier, vol. 255(C).
    19. Wang, Chuyao & Ji, Jie & Uddin, Md Muin & Yu, Bendong & Song, Zhiying, 2021. "The study of a double-skin ventilated window integrated with CdTe cells in a rural building," Energy, Elsevier, vol. 215(PA).
    20. Lu, Lin & Law, Kin Man, 2013. "Overall energy performance of semi-transparent single-glazed photovoltaic (PV) window for a typical office in Hong Kong," Renewable Energy, Elsevier, vol. 49(C), pages 250-254.
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