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PV Cell Temperature Prediction Under Various Atmospheric Conditions

Author

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  • Iuliana Şoriga

    (Department of Engineering Thermodynamics, Heat Engines, Thermal and Refrigeration Equipment, Faculty of Mechanical Engineering and Mechatronics, National University of Science & Technology POLITEHNICA Bucharest, Splaiul Independentei, 313, 060042 Bucharest, Romania)

  • Camelia Stanciu

    (Department of Engineering Thermodynamics, Heat Engines, Thermal and Refrigeration Equipment, Faculty of Mechanical Engineering and Mechatronics, National University of Science & Technology POLITEHNICA Bucharest, Splaiul Independentei, 313, 060042 Bucharest, Romania)

  • Patricia Şişu

    (Department of Engineering Thermodynamics, Heat Engines, Thermal and Refrigeration Equipment, Faculty of Mechanical Engineering and Mechatronics, National University of Science & Technology POLITEHNICA Bucharest, Splaiul Independentei, 313, 060042 Bucharest, Romania)

  • Iuliana Goga

    (Department of Engineering Thermodynamics, Heat Engines, Thermal and Refrigeration Equipment, Faculty of Mechanical Engineering and Mechatronics, National University of Science & Technology POLITEHNICA Bucharest, Splaiul Independentei, 313, 060042 Bucharest, Romania)

Abstract

The present study analyses various mathematical models from the technical literature for calculating photovoltaic cell temperature, emphasizing wind velocity as a key parameter. Since cell temperature significantly affects photovoltaic module efficiency, researchers are actively pursuing simple and cost-effective cooling methods for these systems. First, the study surveys existing mathematical models for computing cell temperature and evaluates how model parameters affect calculations. Second, it demonstrates computational outcomes using selected formulae—chosen based on criteria outlined in the paper—to predict PV cell temperatures under varying wind conditions using meteorological data from Bucharest, Romania. The analysis employs a transient mathematical model based on a single ordinary differential equation, validated against experimental data from previous studies. The results reveal circumstances where alternative mathematical approaches produce similar outcomes, alongside situations where substantial discrepancies emerge. The investigation concludes by contrasting computational forecasts against empirical observations, providing valuable guidance for future research in this domain.

Suggested Citation

  • Iuliana Şoriga & Camelia Stanciu & Patricia Şişu & Iuliana Goga, 2025. "PV Cell Temperature Prediction Under Various Atmospheric Conditions," Energies, MDPI, vol. 18(19), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5239-:d:1763744
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    References listed on IDEAS

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