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Methods to determine the dc parameters of solar cells: A critical review

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  • Cotfas, D.T.
  • Cotfas, P.A.
  • Kaplanis, S.

Abstract

This review article critically outlines and discusses the main issues of 34 methods which have been developed and validated over the past 35 years in order to determine with an acceptable accuracy and reliability fundamental parameters of solar cells. This review covers methodologies which deal with current–voltage characteristic (I–V) analysis either theoretically through elaborated models and/or treated graphically. Methodologies based on the theoretical analysis of the I–V characteristics using the one or two diode model are discussed. The investigation on the I–V characteristics is processed via statistical functions, non-linear regression and stochastic models. A second family of methods to determine the solar cell electric parameters comprises the ones which deal with the graphical treatment and analysis of the I–V characteristics which are measured at different environmental conditions. To the third family belong the methods which use a mix approach of theoretical analysis of the I–V characteristics through modeling on one hand and the graphical analysis of their experimental configuration, on the other. The paper comments on each of the 34 methods and provides pros and cons for the determination of the fundamental electric parameters of solar cells.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:28:y:2013:i:c:p:588-596
    DOI: 10.1016/j.rser.2013.08.017
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    Cited by:

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    9. 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.
    10. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
    11. Ramgolam, Yatindra Kumar & Soyjaudah, Krishnaraj Madhavjee Sunjiv, 2017. "Holistic performance appraisal of a photovoltaic system," Renewable Energy, Elsevier, vol. 109(C), pages 440-448.
    12. Pindado, Santiago & Cubas, Javier, 2017. "Simple mathematical approach to solar cell/panel behavior based on datasheet information," Renewable Energy, Elsevier, vol. 103(C), pages 729-738.
    13. Nader Anani & Haider Ibrahim, 2020. "Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators," Energies, MDPI, vol. 13(18), pages 1-25, September.
    14. Almonacid, Florencia & Rodrigo, Pedro & Fernández, Eduardo F., 2016. "Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques," Energy, Elsevier, vol. 101(C), pages 146-160.
    15. Jongwon Lee, 2020. "Limiting Efficiencies of Intermediate Band Solar Cells in Tandem Configuration," Energies, MDPI, vol. 13(22), pages 1-15, November.
    16. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.
    17. Skoko, Sasa M. & Ciric, Rade M., 2017. "Laboratory exercises of photovoltaic systems–Review of the equpment, methodology, trials and results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 293-303.
    18. Cotfas, D.T. & Cotfas, P.A. & Kaplanis, S., 2016. "Methods and techniques to determine the dynamic parameters of solar cells: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 213-221.
    19. Petru Adrian Cotfas & Daniel Tudor Cotfas & Paul Nicolae Borza & Dezso Sera & Remus Teodorescu, 2018. "Solar Cell Capacitance Determination Based on an RLC Resonant Circuit," Energies, MDPI, vol. 11(3), pages 1-13, March.
    20. Muangkote, Nipotepat & Sunat, Khamron & Chiewchanwattana, Sirapat & Kaiwinit, Sirilak, 2019. "An advanced onlooker-ranking-based adaptive differential evolution to extract the parameters of solar cell models," Renewable Energy, Elsevier, vol. 134(C), pages 1129-1147.
    21. Ridha, Hussein Mohammed & Hizam, Hashim & Gomes, Chandima & Heidari, Ali Asghar & Chen, Huiling & Ahmadipour, Masoud & Muhsen, Dhiaa Halboot & Alghrairi, Mokhalad, 2021. "Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method," Energy, Elsevier, vol. 224(C).
    22. Senturk, A. & Eke, R., 2017. "A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values," Renewable Energy, Elsevier, vol. 103(C), pages 58-69.
    23. Khan, Firoz & Al-Ahmed, Amir & Al-Sulaiman, Fahad A., 2021. "Critical analysis of the limitations and validity of the assumptions with the analytical methods commonly used to determine the photovoltaic cell parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    24. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.

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