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Thermo-electric performance and seasonal adaptability of BIPV facades across five Chinese climatic regions

Author

Listed:
  • Song, Xuan
  • Wang, Dengjia
  • Jiang, Hanyu
  • Wang, Yingying
  • Chen, Yaowen
  • Qin, Menghao
  • Fan, Jianhua
  • Eshmamatov, Sardor

Abstract

Building Integrated Photovoltaics (BIPV) challenges in performance prediction due to complex thermal-electrical coupling. This study proposes a “Mass flow-Electric-Thermal” coupled model. This model combines optimized electrical equations, three-dimensional thermal models, and the interaction mechanism between mass flow and temperature field, enabling high-precision (root mean square error <2.87 °C/0.004 kW) simultaneous prediction of thermo-electric performance. Comparative analysis across five climate regions reveals that closed BIPV exhibits superior insulation in heating season. It reduces heat loss by 39.64%∼51.13% compared to conventional wall and demonstrates significant thermal lag effects (up to 4 h) in cold regions. Conversely, in cooling season, ventilated BIPV reduces the thermal transfer coefficient by 7.42%∼15.10% compared to closed BIPV and possesses superior temperature wave attenuation capabilities, with decrement factors ranging from 0.116 to 0.184. Although cavity depth affects power generation by less than 5%, it drives net energy savings to exceed 25.01%. Furthermore, orthogonal optimization identified cavity depth as the primary factor for shading gain, while PV coverage and efficiency determine power and energy efficiency. The optimized design enhanced annual energy-saving efficiency by approximately 20%. This study provides a theoretical foundation and data support for the configuration selection and refined design of BIPV across different climatic regions.

Suggested Citation

  • Song, Xuan & Wang, Dengjia & Jiang, Hanyu & Wang, Yingying & Chen, Yaowen & Qin, Menghao & Fan, Jianhua & Eshmamatov, Sardor, 2026. "Thermo-electric performance and seasonal adaptability of BIPV facades across five Chinese climatic regions," Renewable Energy, Elsevier, vol. 272(C).
  • Handle: RePEc:eee:renene:v:272:y:2026:i:c:s0960148126008621
    DOI: 10.1016/j.renene.2026.126036
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