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Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions

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  • Jiang, Joe-Air
  • Wang, Jen-Cheng
  • Kuo, Kun-Chang
  • Su, Yu-Li
  • Shieh, Jyh-Cherng
  • Chou, Jui-Jen

Abstract

The accumulation of thermal energy in the interior of photovoltaic (PV) modules as a consequence of continuous solar irradiation causes a difference between the junction temperature of the PV modules and the ambient temperature, which leads to a serious deterioration in the performance of the PV modules. We investigate this problem in depth, proposing a novel method to directly determine the junction temperature of the PV modules based on the p–n junction semiconductor theory. The proposed method is a new and simple approach with a low calculation burden. Its performance is evaluated by examining the characteristics of the junction temperature of the PV modules given variation in both temperature and irradiation intensity. After obtaining the junction temperature of the PV modules, we can track a more accurate maximum power point (MPP) for the PV modules, which is inherently affected by the ambient temperature, so that the maximum utilization efficiency of PV modules can be further achieved. The experimental results demonstrate that the proposed method is a significant improvement in terms of the precision of the MPP control model, and helps PV modules produce their maximum power under various operation conditions.

Suggested Citation

  • Jiang, Joe-Air & Wang, Jen-Cheng & Kuo, Kun-Chang & Su, Yu-Li & Shieh, Jyh-Cherng & Chou, Jui-Jen, 2012. "Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions," Energy, Elsevier, vol. 44(1), pages 292-301.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:292-301
    DOI: 10.1016/j.energy.2012.06.029
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    7. Wu, Chen-Wu & Peng, Qing & Huang, Chen-Guang, 2017. "Thermal analysis on multijunction photovoltaic cell under oblique incident laser irradiation," Energy, Elsevier, vol. 134(C), pages 248-255.
    8. Eke, R. & Betts, T.R. & Gottschalg, R.,, 2017. "Spectral irradiance effects on the outdoor performance of photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 429-434.
    9. Yadav, Amit Kumar & Chandel, S.S., 2017. "Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 955-969.
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