High-Precision Experimental Data for Thermal Model Validation of Flat-Plate Hybrid Water PV/T Collectors

Fahad Maoulida (), Rabah Djedjig (), Mourad Rahim, Mohamed Aboudou Kassim and Mohammed El Ganaoui
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Fahad Maoulida: Université Le Havre Normandie, GREAH, F-76600 Le Havre, France
Rabah Djedjig: Université de Lorraine, INRAE, LERMAB, F-54400 Longwy, France
Mourad Rahim: Université de Lorraine, INRAE, LERMAB, F-54400 Longwy, France
Mohamed Aboudou Kassim: LEMA, Energy and Applied Mechanics Laboratory, Faculty of Sciences and Techniques, University of Comoros, Moroni B.P. 2585, Comoros
Mohammed El Ganaoui: Université de Lorraine, INRAE, LERMAB, F-54400 Longwy, France

Energies, 2025, vol. 18, issue 11, 1-17

Abstract: An experimental setup was developed, incorporating a monitored DualSun ® photovoltaic–thermal (PV/T) panel and a weather station to continuously record real-time climatic conditions. This setup enables an hour-by-hour comparison between the actual performance observed under real-world conditions and the predictions generated by the thermal model. The generated dataset was used to evaluate a thermal model derived from the literature, comparing its predictions with measured data. The model adopts a quasi-steady-state, one-dimensional approach based on heat balance equations applied to both the photovoltaic cells and the heat transfer fluid. Conducted during the summer of 2022, the experiment provides valuable insights into the accuracy of the literature-based thermal model under summer meteorological conditions. The results show a good correlation between the experimental data and the model’s predictions. The average deviation observed for the outlet fluid temperature is 0.1 °C during the day and 1.3 °C at night. Consequently, the findings underscore the model’s effectiveness for evaluating daytime performance, while also pointing out its limitations for nighttime predictions, especially when hybrid PV/T collectors are used for applications such as nighttime free cooling.

Keywords: hybrid PV/T collector; thermal performance; solar energy; experimental validation; temperature monitoring; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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