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The assessment of different models to predict solar module temperature, output power and efficiency for Nis, Serbia

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  • Pantic, Lana S.
  • Pavlović, Tomislav M.
  • Milosavljević, Dragana D.
  • Radonjic, Ivana S.
  • Radovic, Miodrag K.
  • Sazhko, Galina

Abstract

Five different models for calculating solar module temperature, output power and efficiency for sunny days with different solar radiation intensities and ambient temperatures are assessed in this paper. Thereafter, modeled values are compared to the experimentally obtained values for the horizontal solar module in Nis, Serbia. The criterion for determining the best model was based on the statistical analysis and the agreement between the calculated and the experimental values. The calculated values of solar module temperature are in good agreement with the experimentally obtained ones, with some variations over and under the measured values. The best agreement between calculated and experimentally obtained values was for summer months with high solar radiation intensity. The nonlinear model for calculating the output power is much better than the linear model and at the same time predicts better the total electrical energy generated by the solar module during the day. The nonlinear model for calculating the solar module efficiency predicts the efficiency higher than the STC (Standard Test Conditions) value of solar module efficiency for all conditions, while the linear model predicts the solar module efficiency very well. This paper provides a simple and efficient guideline to estimate relevant parameters of a monocrystalline silicon solar module under the moderate-continental climate conditions.

Suggested Citation

  • Pantic, Lana S. & Pavlović, Tomislav M. & Milosavljević, Dragana D. & Radonjic, Ivana S. & Radovic, Miodrag K. & Sazhko, Galina, 2016. "The assessment of different models to predict solar module temperature, output power and efficiency for Nis, Serbia," Energy, Elsevier, vol. 109(C), pages 38-48.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:38-48
    DOI: 10.1016/j.energy.2016.04.090
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    References listed on IDEAS

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    1. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
    2. Skoplaki, E. & Palyvos, J.A., 2009. "Operating temperature of photovoltaic modules: A survey of pertinent correlations," Renewable Energy, Elsevier, vol. 34(1), pages 23-29.
    3. Almonacid, F. & Rus, C. & Pérez-Higueras, P. & Hontoria, L., 2011. "Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks," Energy, Elsevier, vol. 36(1), pages 375-384.
    4. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    5. Pavlović, Tomislav & Milosavljević, Dragana & Radonjić, Ivana & Pantić, Lana & Radivojević, Aleksandar & Pavlović, Mila, 2013. "Possibility of electricity generation using PV solar plants in Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 201-218.
    6. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    7. Kaldellis, John K. & Kapsali, Marina & Kavadias, Kosmas A., 2014. "Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece," Renewable Energy, Elsevier, vol. 66(C), pages 612-624.
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    Cited by:

    1. Mussard, Maxime, 2017. "Solar energy under cold climatic conditions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 733-745.
    2. Boutana, N. & Mellit, A. & Lughi, V. & Massi Pavan, A., 2017. "Assessment of implicit and explicit models for different photovoltaic modules technologies," Energy, Elsevier, vol. 122(C), pages 128-143.
    3. Ehab El-Fayome & Abdel Halim Zekry & Mohamed A. Abdelhamed & Ahmed EL-Shazly & Mohamed Abouelatta & Ahmed Shaker & Ahmed Saeed, 2023. "Proposal for Repairable Silicon Solar Panels: Proof of Concept," Energies, MDPI, vol. 16(18), pages 1-13, September.

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