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A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions

Author

Listed:
  • Ali Kareem Abdulrazzaq

    (Department of Electron Devices, Budapest University of Technology and Economics, Hungarian Scientists Tour 2, H-1117 Budapest, Hungary)

  • Balázs Plesz

    (Department of Electron Devices, Budapest University of Technology and Economics, Hungarian Scientists Tour 2, H-1117 Budapest, Hungary)

  • György Bognár

    (Department of Electron Devices, Budapest University of Technology and Economics, Hungarian Scientists Tour 2, H-1117 Budapest, Hungary)

Abstract

Temperature has a significant effect on the photovoltaic module output power and mechanical properties. Measuring the temperature for such a stacked layers structure is impractical to be carried out, especially when we talk about a high number of modules in power plants. This paper introduces a novel thermal model to estimate the temperature of the embedded electronic junction in modules/cells as well as their front and back surface temperatures. The novelty of this paper can be realized through different aspects. First, the model includes a novel coefficient, which we define as the forced convection adjustment coefficient to imitate the module tilt angle effect on the forced convection heat transfer mechanism. Second, the new combination of effective sub-models found in literature producing a unique and reliable method for estimating the temperature of the PV modules/cells by incorporating the new coefficient. In addition, the paper presents a comprehensive review of the existing PV thermal sub-models and the determination expressions of the related parameters, which all have been tested to find the best combination. The heat balance equation has been employed to construct the thermal model. The validation phase shows that the estimation of the module temperature has significantly improved by introducing the novel forced convection adjustment coefficient. Measurements of polycrystalline and amorphous modules have been used to verify the proposed model. Multiple error indication parameters have been used to validate the model and verify it by comparing the obtained results to those reported in recent and most accurate literature.

Suggested Citation

  • Ali Kareem Abdulrazzaq & Balázs Plesz & György Bognár, 2020. "A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions," Energies, MDPI, vol. 13(13), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3318-:d:377932
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    References listed on IDEAS

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    1. Gu, Wenbo & Ma, Tao & Shen, Lu & Li, Meng & Zhang, Yijie & Zhang, Wenjie, 2019. "Coupled electrical-thermal modelling of photovoltaic modules under dynamic conditions," Energy, Elsevier, vol. 188(C).
    2. Motiei, P. & Yaghoubi, M. & GoshtashbiRad, E. & Vadiee, A., 2018. "Two-dimensional unsteady state performance analysis of a hybrid photovoltaic-thermoelectric generator," Renewable Energy, Elsevier, vol. 119(C), pages 551-565.
    3. Santiago, I. & Trillo-Montero, D. & Moreno-Garcia, I.M. & Pallarés-López, V. & Luna-Rodríguez, J.J., 2018. "Modeling of photovoltaic cell temperature losses: A review and a practice case in South Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 70-89.
    4. Mattei, M. & Notton, G. & Cristofari, C. & Muselli, M. & Poggi, P., 2006. "Calculation of the polycrystalline PV module temperature using a simple method of energy balance," Renewable Energy, Elsevier, vol. 31(4), pages 553-567.
    5. Verma, Vishal & Kane, Aarti & Singh, Bhim, 2016. "Complementary performance enhancement of PV energy system through thermoelectric generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1017-1026.
    6. 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.
    7. 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.
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    Cited by:

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    2. Kaplanis, S. & Kaplani, E. & Kaldellis, J.K., 2022. "PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency a," Renewable Energy, Elsevier, vol. 181(C), pages 235-249.

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