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Numerical heat transfer modeling and climate adaptation analysis of vacuum-photovoltaic glazing

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  • Tan, Yutong
  • Peng, Jinqing
  • Luo, Yimo
  • Luo, Zhengyi
  • Curcija, Charlie
  • Fang, Yueping

Abstract

Vacuum-photovoltaic (VPV) glazing has attracted much attention due to its excellent thermal insulation performance and its ability to utilize solar energy. However, few simulation models have been established based on actual products and rarely have been validated by experiments. In this paper, a four-layer CdTe-based VPV glazing was developed and the corresponding numerical heat transfer model was established with the integration of a dynamic power generation model. The numerical model was then validated against both the results from the WINDOW program and a guarded hot box experiment. Afterward, the validated model was employed to analyze the energy and power generation performance of the VPV glazing in diverse climate zones in China with Harbin, Beijing, Changsha, Guangzhou, and Kunming used as representative cities. The numerical simulation results indicate that the U-value of the proposed VPV glazing is 0.89 W/(m2⋅K), which is in good agreement with the experimental results. Compared with a normal double glazing, the average energy reductions achieved with VPV glazing in air conditioning seasons are 128 kWh/m2, 23 kWh/m2, 45 kWh/m2, and 52 kWh/m2 in Harbin, Beijing, Changsha, and Guangzhou, respectively. In addition, the average annual power outputs of VPV glazing in Harbin, Beijing, Changsha, Guangzhou, and Kunming are 47 kWh/m2, 48 kWh/m2, 34 kWh/m2, 36 kWh/m2, and 45 kWh/m2, respectively. The numerical model developed in this study can be used for energy-saving potential analysis and optimization of VPV glazing in different meteorological conditions, the results of which could provide guidance for the effective application of VPV glazing.

Suggested Citation

  • Tan, Yutong & Peng, Jinqing & Luo, Yimo & Luo, Zhengyi & Curcija, Charlie & Fang, Yueping, 2022. "Numerical heat transfer modeling and climate adaptation analysis of vacuum-photovoltaic glazing," Applied Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:appene:v:312:y:2022:i:c:s0306261922002033
    DOI: 10.1016/j.apenergy.2022.118747
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    2. Liu, Xingjiang & Yang, Haotian & Wang, Chaojie & Shen, Chao & Bo, Rui & Hinkle, Laura & Wang, Julian, 2024. "Semi-experimental investigation on the energy performance of photovoltaic double skin façade with different façade materials," Energy, Elsevier, vol. 295(C).
    3. Liu, Keke & Wang, Meng & Peng, Jinqing & Li, Sihui & Luo, Yimo & Zhang, Xiaofeng, 2024. "Effect of angle of incidence on the optical-electrical-thermal performance of photovoltaic insulated glass units," Renewable Energy, Elsevier, vol. 226(C).
    4. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Li, Houpei & Wang, Meng & Zhang, Fujia & Ji, Jie & Song, Aotian, 2023. "Daylight-electrical-thermal coupling model for real-time zero-energy potential analysis of vacuum-photovoltaic glazing," Renewable Energy, Elsevier, vol. 205(C), pages 1040-1056.
    5. Hossein Arasteh & Wahid Maref & Hamed H. Saber, 2023. "Energy and Thermal Performance Analysis of PCM-Incorporated Glazing Units Combined with Passive and Active Techniques: A Review Study," Energies, MDPI, vol. 16(3), pages 1-42, January.

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