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Analysis of the effect of parasitic resistances on the performance of photovoltaic modules

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  • van Dyk, E.E.
  • Meyer, E.L.

Abstract

Parasitic resistances are detrimental to solar cell performance because they reduce the device power output. In this paper the effects that series- and shunt resistance have on photovoltaic module performance parameters are discussed. Techniques used to measure these resistances are presented and the results show how current–voltage characteristics and module performance are affected. An analysis of the performance degradation of an a-Si module revealed that, apart from the Staebler–Wronski effect, an increase in series resistance contributed to a power loss of 50% after outdoor exposure of 130 kWh/m2. A 29% decrease in shunt resistance of a CuInSe2 module, over the same exposure, translated to a power loss of 6%. This study shows that the effects of shunt and series resistances on module performance are significant and cannot be ignored. These effects must be understood and taken into consideration when employing photovoltaic modules in systems and when analysing performance degradation.

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  • 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.
    • Handle: RePEc:eee:renene:v:29:y:2004:i:3:p:333-344
    DOI: 10.1016/S0960-1481(03)00250-7
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    References listed on IDEAS

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    1. Meyer, E.L & van Dyk, E.E, 2003. "Characterization of degradation in thin-film photovoltaic module performance parameters," Renewable Energy, Elsevier, vol. 28(9), pages 1455-1469.
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    Cited by:

    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.
    2. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    3. Bastidas-Rodriguez, J.D. & Franco, E. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "Quantification of photovoltaic module degradation using model based indicators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 101-113.
    4. 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.
    5. Carrero, C. & Ramírez, D. & Rodríguez, J. & Platero, C.A., 2011. "Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve," Renewable Energy, Elsevier, vol. 36(11), pages 2972-2977.
    6. Ghani, F. & Rosengarten, G. & Duke, M. & Carson, J.K., 2014. "The numerical calculation of single-diode solar-cell modelling parameters," Renewable Energy, Elsevier, vol. 72(C), pages 105-112.
    7. Piliougine, M. & Guejia-Burbano, R.A. & Petrone, G. & Sánchez-Pacheco, F.J. & Mora-López, L. & Sidrach-de-Cardona, M., 2021. "Parameters extraction of single diode model for degraded photovoltaic modules," Renewable Energy, Elsevier, vol. 164(C), pages 674-686.
    8. Bastidas-Rodriguez, J.D. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 38-54.
    9. 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.
    10. Shen, Yu & He, Zengxiang & Xu, Zhen & Wang, Yiye & Li, Chenxi & Zhang, Jinxia & Zhang, Kanjian & Wei, Haikun, 2022. "Modeling of photovoltaic modules under common shading conditions," Energy, Elsevier, vol. 256(C).
    11. 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.
    12. Safdar Mehmood & Yang Xia & Furong Qu & Meng He, 2023. "Investigating the Performance of Efficient and Stable Planer Perovskite Solar Cell with an Effective Inorganic Carrier Transport Layer Using SCAPS-1D Simulation," Energies, MDPI, vol. 16(21), pages 1-14, November.
    13. Gxasheka, A.R. & van Dyk, E.E. & Meyer, E.L., 2005. "Evaluation of performance parameters of PV modules deployed outdoors," Renewable Energy, Elsevier, vol. 30(4), pages 611-620.
    14. Fouad, M.M. & Shihata, Lamia A. & Morgan, ElSayed I., 2017. "An integrated review of factors influencing the perfomance of photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1499-1511.
    15. Javier Cubas & Santiago Pindado & Carlos De Manuel, 2014. "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function," Energies, MDPI, vol. 7(7), pages 1-18, June.
    16. Torres-Ramírez, M. & Nofuentes, G. & Silva, J.P. & Silvestre, S. & Muñoz, J.V., 2014. "Study on analytical modelling approaches to the performance of thin film PV modules in sunny inland climates," Energy, Elsevier, vol. 73(C), pages 731-740.
    17. Kichou, Sofiane & Silvestre, Santiago & Nofuentes, Gustavo & Torres-Ramírez, Miguel & Chouder, Aissa & Guasch, Daniel, 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure," Energy, Elsevier, vol. 96(C), pages 231-241.
    18. 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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