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Assessing the energy efficiency and grid friendliness of smart photovoltaic windows incorporating crystalline silicon cells and electrochromic film

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  • Tan, Yutong
  • Peng, Jinqing
  • Luo, Zhengyi
  • Luo, Yimo
  • Li, Houpei

Abstract

Building integrated photovoltaic (BIPV) technology plays an important role in achieving zero-energy buildings. However, their large-scale application poses challenges to the steady operation of the utility grid due to the uncertainty and discontinuity of solar radiation. To address this issue, this study proposed a smart photovoltaic (SPV) window as well as its operation control strategies to simultaneously improve building energy efficiency and grid friendliness. The SPV window combines an electrochromic film and uniformly arranged thin-strip solar cells, which has the dual advantages of active utilization and regulation of solar radiation. To clarify the performance of the SPV window, the model was established in WINDOW based on the measured data, and the corresponding optical and thermal characteristics were calculated. Then, the SPV window model was exported to EnergyPlus software and integrated with a south-facing perimeter zone of a typical medium-sized office building. Two control strategies of the SPV window, viz. the incident solar radiation control strategy and the heat flow density control strategy, were proposed. Finally, the annual dynamic energy consumption simulation, including air conditioning energy consumption, lighting energy usage and photovoltaic power generation, was carried out and compared in four cooling-dominated cities. The results revealed that the SPV window with the solar radiation control strategy performed better in terms of daylight utilization. Nevertheless, when considering comprehensive improvement in useful daylight utilization, peak loads, daily peak-valley difference, and net energy consumption, the SPV window with the heat flow control strategy outperformed the others. Compared to the conventional Low-E window, the SPV window with the heat flow control strategy was able to achieve significant reductions in excessive daylight illuminance ratio, peak loads, average daily peak-valley difference, and net annual energy consumption, ranging from 81.6 % to 93.1 %, 49.3 % to 54.5 %, 54.7 % to 65.8 %, and 49.1 % to 69.2 %, respectively. This study provides a new idea for the application of building integrated photovoltaic technologies, which can simultaneously improve energy efficiency and grid friendliness.

Suggested Citation

  • Tan, Yutong & Peng, Jinqing & Luo, Zhengyi & Luo, Yimo & Li, Houpei, 2025. "Assessing the energy efficiency and grid friendliness of smart photovoltaic windows incorporating crystalline silicon cells and electrochromic film," Applied Energy, Elsevier, vol. 377(PD).
    • Handle: RePEc:eee:appene:v:377:y:2025:i:pd:s0306261924020543
    DOI: 10.1016/j.apenergy.2024.124671
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    References listed on IDEAS

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    1. Liu, Yang & Chen, Youming & Lu, Lin & Peng, Jinqing & Zheng, Dongmei & Lu, Bin, 2023. "Optical path model and energy performance optimization of aerogel glazing system filled with aerogel granules," Applied Energy, Elsevier, vol. 334(C).
    2. Zhang, Yingbo & Shan, Kui & Li, Xiuming & Li, Hangxin & Wang, Shengwei, 2023. "Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    3. Hong, Tianzhen & Li, Cheng & Yan, Da, 2015. "Updates to the China Design Standard for Energy Efficiency in public buildings," Energy Policy, Elsevier, vol. 87(C), pages 187-198.
    4. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    5. Favoino, Fabio & Overend, Mauro & Jin, Qian, 2015. "The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies," Applied Energy, Elsevier, vol. 156(C), pages 1-15.
    6. Peng, Jinqing & Curcija, Dragan C. & Thanachareonkit, Anothai & Lee, Eleanor S. & Goudey, Howdy & Selkowitz, Stephen E., 2019. "Study on the overall energy performance of a novel c-Si based semitransparent solar photovoltaic window," Applied Energy, Elsevier, vol. 242(C), pages 854-872.
    7. Yang, Jian & Xu, Zhengtao & Ye, Hong & Xu, Xiaojie & Wu, Xi & Wang, Jianxiang, 2015. "Performance analyses of building energy on phase transition processes of VO2 windows with an improved model," Applied Energy, Elsevier, vol. 159(C), pages 502-508.
    8. Tan, Yutong & Peng, Jinqing & Luo, Zhengyi & Luo, Yimo & Ma, Tao & Ji, Jie & Yang, Hongxing & Wang, Fazhi & Zhu, Minfeng, 2023. "Multi-function partitioned design method for photovoltaic curtain wall integrated with vacuum glazing towards zero-energy buildings," Renewable Energy, Elsevier, vol. 218(C).
    9. Huan Ling & Jianchang Wu & Fengyu Su & Yanqing Tian & Yan Jun Liu, 2021. "Automatic light-adjusting electrochromic device powered by perovskite solar cell," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
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