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Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells

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  • Stutenbaeumer, Ulrich
  • Mesfin, Belayneh

Abstract

The current–voltage (I–V) characteristics of monocrystalline, polycrystalline and amorphous silicon solar cells are measured in the dark. A two diodes equivalent model is used to describe the electronic properties of solar cells. The non-linear curve fitting of the dark I–V curves obtain besides the diode ideality factors and the reverse saturation currents, the series and shunt resistance of the solar cells. These parameters determine the fill factor and the efficiency of the solar cells.

Suggested Citation

  • Stutenbaeumer, Ulrich & Mesfin, Belayneh, 1999. "Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells," Renewable Energy, Elsevier, vol. 18(4), pages 501-512.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:4:p:501-512
    DOI: 10.1016/S0960-1481(98)00813-1
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    1. Bahaidarah, Haitham M. & Tanweer, Bilal & Gandhidasan, P. & Ibrahim, Nasiru & Rehman, Shafiqur, 2014. "Experimental and numerical study on non-concentrating and symmetric unglazed compound parabolic photovoltaic concentration systems," Applied Energy, Elsevier, vol. 136(C), pages 527-536.
    2. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2018. "An assessment of series resistance estimation techniques for different silicon based SPV modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 199-216.
    3. Rhouma, Mohamed B.H. & Gastli, Adel & Ben Brahim, Lazhar & Touati, Farid & Benammar, Mohieddine, 2017. "A simple method for extracting the parameters of the PV cell single-diode model," Renewable Energy, Elsevier, vol. 113(C), pages 885-894.
    4. Muhammad Adil Khan & Byeonghun Ko & Esebi Alois Nyari & S. Eugene Park & Hee-Je Kim, 2017. "Performance Evaluation of Photovoltaic Solar System with Different Cooling Methods and a Bi-Reflector PV System (BRPVS): An Experimental Study and Comparative Analysis," Energies, MDPI, vol. 10(6), pages 1-23, June.
    5. Dizqah, Arash M. & Maheri, Alireza & Busawon, Krishna, 2014. "An accurate method for the PV model identification based on a genetic algorithm and the interior-point method," Renewable Energy, Elsevier, vol. 72(C), pages 212-222.
    6. Habib Kraiem & Ezzeddine Touti & Abdulaziz Alanazi & Ahmed M. Agwa & Tarek I. Alanazi & Mohamed Jamli & Lassaad Sbita, 2023. "Parameters Identification of Photovoltaic Cell and Module Models Using Modified Social Group Optimization Algorithm," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    7. Haitham M. Bahaidarah & Bilal Tanweer & Palanichamy Gandhidasan & Shafiqur Rehman, 2015. "A Combined Optical, Thermal and Electrical Performance Study of a V-Trough PV System—Experimental and Analytical Investigations," Energies, MDPI, vol. 8(4), pages 1-25, April.
    8. Carrero, C. & Amador, J. & Arnaltes, S., 2007. "A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances," Renewable Energy, Elsevier, vol. 32(15), pages 2579-2589.
    9. Elharoun, O. & Tawfik, M. & El-Sharkawy, Ibrahim I. & Zeidan, E., 2023. "Experimental investigation of photovoltaic performance with compound parabolic solar concentrator and fluid spectral filter," Energy, Elsevier, vol. 278(PA).
    10. Cotfas, D.T. & Cotfas, P.A. & Kaplanis, S., 2013. "Methods to determine the dc parameters of solar cells: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 588-596.
    11. Wang, Meng & Peng, Jinqing & Luo, Yimo & Shen, Zhicheng & Yang, Hongxing, 2021. "Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements," Energy, Elsevier, vol. 224(C).
    12. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.

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