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A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data

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  • Orioli, Aldo
  • Di Gangi, Alessandra

Abstract

Only few manufactures provide the wide set of graphical data that are necessary to use high performance predictive tools for PV systems. On the other hand, reliable graphical data require accurate laboratory measurements that increase manufacturing costs. For this reason PV system designers have to choose between the use of cheap PV modules, lacking in technical data, and the reliable energy predictions that are possible only if the current–voltage characteristics are provided by the PV module manufacturers.

Suggested Citation

  • Orioli, Aldo & Di Gangi, Alessandra, 2013. "A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data," Applied Energy, Elsevier, vol. 102(C), pages 1160-1177.
    • Handle: RePEc:eee:appene:v:102:y:2013:i:c:p:1160-1177
    DOI: 10.1016/j.apenergy.2012.06.036
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    References listed on IDEAS

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    1. de Blas, M.A & Torres, J.L & Prieto, E & Garcı́a, A, 2002. "Selecting a suitable model for characterizing photovoltaic devices," Renewable Energy, Elsevier, vol. 25(3), pages 371-380.
    2. Garrido-Alzar, C.L., 1997. "Algorithm for extraction of solar cell parameters from I–V curve using double exponential model," Renewable Energy, Elsevier, vol. 10(2), pages 125-128.
    3. 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.
    4. Sandrolini, L. & Artioli, M. & Reggiani, U., 2010. "Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis," Applied Energy, Elsevier, vol. 87(2), pages 442-451, February.
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