IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i13p3318-d377932.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/13/3318/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/13/3318/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oriza Candra & Narukullapati Bharath Kumar & Ngakan Ketut Acwin Dwijendra & Indrajit Patra & Ali Majdi & Untung Rahardja & Mikhail Kosov & John William Grimaldo Guerrero & Ramaswamy Sivaraman, 2022. "Energy Simulation and Parametric Analysis of Water Cooled Thermal Photovoltaic Systems: Energy and Exergy Analysis of Photovoltaic Systems," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Fuxiang & Wu, Wei, 2022. "Coupled electrical-thermal performance estimation of photovoltaic devices: A transient multiphysics framework with robust parameter extraction and 3-D thermal analysis," Applied Energy, Elsevier, vol. 319(C).
    2. 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.
    3. 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).
    4. Rustemli, Sabir & Dincer, Furkan & Unal, Emin & Karaaslan, Muharrem & Sabah, Cumali, 2013. "The analysis on sun tracking and cooling systems for photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 598-603.
    5. Obiwulu, Anthony Umunnakwe & Erusiafe, Nald & Olopade, Muteeu Abayomi & Nwokolo, Samuel Chukwujindu, 2020. "Modeling and optimization of back temperature models of mono-crystalline silicon modules with special focus on the effect of meteorological and geographical parameters on PV performance," Renewable Energy, Elsevier, vol. 154(C), pages 404-431.
    6. 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.
    7. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    8. Chikh, Madjid & Berkane, Smain & Mahrane, Achour & Sellami, Rabah & Yassaa, Noureddine, 2021. "Performance assessment of a 400 kWp multi- technology photovoltaic grid-connected pilot plant in arid region of Algeria," Renewable Energy, Elsevier, vol. 172(C), pages 488-501.
    9. Kane, Aarti & Verma, Vishal & Singh, Bhim, 2017. "Optimization of thermoelectric cooling technology for an active cooling of photovoltaic panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1295-1305.
    10. D'Orazio, M. & Di Perna, C. & Di Giuseppe, E., 2014. "Experimental operating cell temperature assessment of BIPV with different installation configurations on roofs under Mediterranean climate," Renewable Energy, Elsevier, vol. 68(C), pages 378-396.
    11. Jiang, Joe-Air & Wang, Jen-Cheng & Kuo, Kun-Chang & Su, Yu-Li & Shieh, Jyh-Cherng & Chou, Jui-Jen, 2012. "Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions," Energy, Elsevier, vol. 44(1), pages 292-301.
    12. Hasan, Ahmed & Sarwar, Jawad & Shah, Ali Hasan, 2018. "Concentrated photovoltaic: A review of thermal aspects, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 835-852.
    13. Zia R. Tahir & Ammara Kanwal & Muhammad Asim & M. Bilal & Muhammad Abdullah & Sabeena Saleem & M. A. Mujtaba & Ibham Veza & Mohamed Mousa & M. A. Kalam, 2022. "Effect of Temperature and Wind Speed on Efficiency of Five Photovoltaic Module Technologies for Different Climatic Zones," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    14. Kesler, Selami & Kivrak, Sinan & Dincer, Furkan & Rustemli, Sabir & Karaaslan, Muharrem & Unal, Emin & Erdiven, Utku, 2014. "The analysis of PV power potential and system installation in Manavgat, Turkey—A case study in winter season," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 671-680.
    15. Zhou, Jicheng & Zhang, Zhe & Ke, Haoyun, 2019. "PV module temperature distribution with a novel segmented solar cell absorbance model," Renewable Energy, Elsevier, vol. 134(C), pages 1071-1080.
    16. Yujing Sun & Fei Wang & Bo Wang & Qifang Chen & N.A. Engerer & Zengqiang Mi, 2016. "Correlation Feature Selection and Mutual Information Theory Based Quantitative Research on Meteorological Impact Factors of Module Temperature for Solar Photovoltaic Systems," Energies, MDPI, vol. 10(1), pages 1-20, December.
    17. Villemin, Thomas & Claverie, Rémy & Sawicki, Jean-Paul & Parent, Gilles, 2022. "Thermal characterization of a photovoltaic panel under controlled conditions," Renewable Energy, Elsevier, vol. 198(C), pages 28-40.
    18. 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.
    19. Docimo, D.J. & Ghanaatpishe, M. & Mamun, A., 2017. "Extended Kalman Filtering to estimate temperature and irradiation for maximum power point tracking of a photovoltaic module," Energy, Elsevier, vol. 120(C), pages 47-57.
    20. Lau, K.Y. & Tan, C.W. & Yatim, A.H.M., 2018. "Effects of ambient temperatures, tilt angles, and orientations on hybrid photovoltaic/diesel systems under equatorial climates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2625-2636.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3318-:d:377932. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.