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Quantification of photovoltaic module degradation using model based indicators

Author

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  • Bastidas-Rodriguez, J.D.
  • Franco, E.
  • Petrone, G.
  • Ramos-Paja, C.A.
  • Spagnuolo, G.

Abstract

One of the most important characteristics of the photovoltaic (PV) modules is their long lifetime (around 25 years). However, recent investigations have shown that PV modules may suffer significant degradation before that time; that is why the development of diagnostic techniques is important for the customers of PV systems. In this paper two indicators to quantify the degradation of a PV module are presented. Such indicators use the single-diode model to represent a PV module without degradation and combine such information with the experimental measurements to estimate the increase in the series resistance and/or the decrease in the parallel resistance with respect to reference values. The estimation of those variations allows the quantification of the module degradation. Simulation results comparing the proposed indicators with the fill factor (a traditional indicator to quantify the electrical quality of a PV module), and other indicators to estimate the series resistance are presented to illustrate the advantages of the proposed indicators.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:matcom:v:131:y:2017:i:c:p:101-113
    DOI: 10.1016/j.matcom.2015.04.003
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    References listed on IDEAS

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    1. Kamei, Aika & Yoshida, Shota & Takakura, Hideyuki & Minemoto, Takashi, 2014. "Ten years outdoor operation of silicon based photovoltaic modules at central latitude of Japan," Renewable Energy, Elsevier, vol. 65(C), pages 78-82.
    2. 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.
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    Cited by:

    1. Dag, H.I. & Buker, M.S., 2020. "Performance evaluation and degradation assessment of crystalline silicon based photovoltaic rooftop technologies under outdoor conditions," Renewable Energy, Elsevier, vol. 156(C), pages 1292-1300.
    2. Heidi Kalliojärvi & Kari Lappalainen & Seppo Valkealahti, 2022. "Feasibility of Photovoltaic Module Single-Diode Model Fitting to the Current–Voltage Curves Measured in the Vicinity of the Maximum Power Point for Online Condition Monitoring Purposes," Energies, MDPI, vol. 15(23), pages 1-21, November.
    3. Kara Mostefa Khelil, Chérifa & Amrouche, Badia & Benyoucef, Abou soufiane & Kara, Kamel & Chouder, Aissa, 2020. "New Intelligent Fault Diagnosis (IFD) approach for grid-connected photovoltaic systems," Energy, Elsevier, vol. 211(C).
    4. Martín Antonio Rodríguez Licea & Francisco Javier Pérez Pinal & Allan Giovanni Soriano Sánchez, 2021. "An Overview on Electric-Stress Degradation Empirical Models for Electrochemical Devices in Smart Grids," Energies, MDPI, vol. 14(8), pages 1-23, April.

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