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On the Nature of the One-Diode Solar Cell Model Parameters

Author

Listed:
  • Andreea Sabadus

    (Department of Physics, West University of Timisoara, V. Parvan 4, 300223 Timisoara, Romania)

  • Marius Paulescu

    (Department of Physics, West University of Timisoara, V. Parvan 4, 300223 Timisoara, Romania)

Abstract

The one-diode model is probably the most common equivalent electrical circuit of a real crystalline solar cell. Extensive research has focused on extracting model parameters from measurements performed in standard test conditions (STC), aiming to replicate the current-voltage characteristics (I-V). This study started from finding that, for the same solar cell, different scientific reports yield significantly different sets of parameters, all allowing for highly accurate replication of the measured I-V characteristics. This observation raises a big question: What is the true physical set of parameters? The present study attempts to address this question. For this purpose, a numerical experiment was conducted. The results show that there is an infinity of distinct sets of parameters that can replicate the I-V characteristics at STC via the one-diode model equation. The diode saturation current I S and the diode ideality factor compensate each other to preserve the open-circuit voltage V OC , always an input data point. Some possible approaches (e.g., the link between V OC and I S ) that can lead to the physical set of parameters are discussed, highlighting their strengths and weaknesses. There is enough room for future research on finding a universal approach able to guarantee the accurate extraction of the one-diode model physical parameters.

Suggested Citation

  • Andreea Sabadus & Marius Paulescu, 2021. "On the Nature of the One-Diode Solar Cell Model Parameters," Energies, MDPI, vol. 14(13), pages 1-10, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3974-:d:587302
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    References listed on IDEAS

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    1. Paulescu, Marius & Badescu, Viorel & Dughir, Ciprian, 2014. "New procedure and field-tests to assess photovoltaic module performance," Energy, Elsevier, vol. 70(C), pages 49-57.
    2. Abbassi, Rabeh & Abbassi, Abdelkader & Jemli, Mohamed & Chebbi, Souad, 2018. "Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 453-474.
    3. Vincenzo Franzitta & Aldo Orioli & Alessandra Di Gangi, 2017. "Assessment of the Usability and Accuracy of Two-Diode Models for Photovoltaic Modules," Energies, MDPI, vol. 10(4), pages 1-32, April.
    4. Wang, Gang & Zhao, Ke & Shi, Jiangtao & Chen, Wei & Zhang, Haiyang & Yang, Xinsheng & Zhao, Yong, 2017. "An iterative approach for modeling photovoltaic modules without implicit equations," Applied Energy, Elsevier, vol. 202(C), pages 189-198.
    5. Fathy, Ahmed & Rezk, Hegazy, 2017. "Parameter estimation of photovoltaic system using imperialist competitive algorithm," Renewable Energy, Elsevier, vol. 111(C), pages 307-320.
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    Cited by:

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    2. Pedroza-Díaz, Alfredo & Rodrigo, Pedro M. & Dávalos-Orozco, Óscar & De-la-Vega, Eduardo & Valera-Albacete, Álvaro, 2025. "Review of explicit models for photovoltaic cell electrical characterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).

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