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Series resistance temperature sensitivity in degraded mono–crystalline silicon modules

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  • Piliougine, M.
  • Spagnuolo, G.
  • Sidrach-de-Cardona, M.

Abstract

Manufacturers of photovoltaic cells and modules usually provide temperature coefficients referring to the short–circuit current, the open–circuit voltage and the maximum power. Few studies analyse the variation of the series resistance with respect to the cell or module temperature. In this paper, this dependency is studied by suitably processing a set of current–voltage curves acquired on several modules working under outdoor conditions. The curves are measured at an increasing module temperature. The temperature coefficient of the series resistance is estimated by using the single diode model and the double diode one. Some hundreds of current vs voltage curves referring to degraded photovoltaic modules are used in this paper to analyse the effects of the degradation on the series resistance and on the temperature coefficient thereof.

Suggested Citation

  • Piliougine, M. & Spagnuolo, G. & Sidrach-de-Cardona, M., 2020. "Series resistance temperature sensitivity in degraded mono–crystalline silicon modules," Renewable Energy, Elsevier, vol. 162(C), pages 677-684.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:677-684
    DOI: 10.1016/j.renene.2020.08.026
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    References listed on IDEAS

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    1. 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.
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    3. Khan, Firoz & Baek, Seong-Ho & Kim, Jae Hyun, 2016. "Wide range temperature dependence of analytical photovoltaic cell parameters for silicon solar cells under high illumination conditions," Applied Energy, Elsevier, vol. 183(C), pages 715-724.
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    Cited by:

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    2. Slawomir Gulkowski & Ewelina Krawczak, 2024. "Thin-Film Photovoltaic Modules Characterisation Based on I-V Measurements Under Outdoor Conditions," Energies, MDPI, vol. 17(23), pages 1-16, November.
    3. Dong, Xiao-Jian & Shen, Jia-Ni & Ma, Zi-Feng & He, Yi-Jun, 2022. "Simultaneous operating temperature and output power prediction method for photovoltaic modules," Energy, Elsevier, vol. 260(C).
    4. Michel Piliougine & Paula Sánchez-Friera & Giovanni Spagnuolo, 2024. "Comparative of IEC 60891 and Other Procedures for Temperature and Irradiance Corrections to Measured I–V Characteristics of Photovoltaic Devices," Energies, MDPI, vol. 17(3), pages 1-67, January.
    5. Carrero, C. & Ramirez, D. & Rodríguez, J. & Castillo-Sierra, R., 2021. "Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation," Renewable Energy, Elsevier, vol. 173(C), pages 351-361.
    6. Moreno-Vassart, X. & Toledo, F. Javier & Herranz, Victoria & Galiano, Vicente, 2024. "Relationships between remarkable points in photovoltaic I–V curves," Renewable Energy, Elsevier, vol. 237(PB).

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