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Employment of single-diode model to elucidate the variations in photovoltaic parameters under different electrical and thermal conditions

Author

Listed:
  • Fahmi F Muhammad
  • Mohd Y Yahya
  • Shilan S Hameed
  • Fakhra Aziz
  • Khaulah Sulaiman
  • Mariwan A Rasheed
  • Zubair Ahmad

Abstract

In this research work, numerical simulations are performed to correlate the photovoltaic parameters with various internal and external factors influencing the performance of solar cells. Single-diode modeling approach is utilized for this purpose and theoretical investigations are compared with the reported experimental evidences for organic and inorganic solar cells at various electrical and thermal conditions. Electrical parameters include parasitic resistances (Rs and Rp) and ideality factor (n), while thermal parameters can be defined by the cells temperature (T). A comprehensive analysis concerning broad spectral variations in the short circuit current (Isc), open circuit voltage (Voc), fill factor (FF) and efficiency (η) is presented and discussed. It was generally concluded that there exists a good agreement between the simulated results and experimental findings. Nevertheless, the controversial consequence of temperature impact on the performance of organic solar cells necessitates the development of a complementary model which is capable of well simulating the temperature impact on these devices performance.

Suggested Citation

  • Fahmi F Muhammad & Mohd Y Yahya & Shilan S Hameed & Fakhra Aziz & Khaulah Sulaiman & Mariwan A Rasheed & Zubair Ahmad, 2017. "Employment of single-diode model to elucidate the variations in photovoltaic parameters under different electrical and thermal conditions," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-20, August.
  • Handle: RePEc:plo:pone00:0182925
    DOI: 10.1371/journal.pone.0182925
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    References listed on IDEAS

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    1. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    2. Cuce, Erdem & Cuce, Pinar Mert & Bali, Tulin, 2013. "An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters," Applied Energy, Elsevier, vol. 111(C), pages 374-382.
    3. Radziemska, E., 2003. "The effect of temperature on the power drop in crystalline silicon solar cells," Renewable Energy, Elsevier, vol. 28(1), pages 1-12.
    4. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
    5. Li, Zhi-Sheng & Zhang, Guo-Qiang & Li, Dong-Mei & Zhou, Jin & Li, Li-Juan & Li, Li-Xin, 2007. "Application and development of solar energy in building industry and its prospects in China," Energy Policy, Elsevier, vol. 35(8), pages 4121-4127, August.
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