Aalloul Radouane, Elaissaoui Abdellah, Harkani Assia, Adhiri Rhma, Benlattar Mourad
Laboratory of Engineering and Materials (LIMAT), Faculty of Sciences, Ben M'Sick Hassan II University of Casablanca, Casablanca, 20000, Morocco.
Laboratory of Agricultural Engineering, Energy National Institute of Agricultural Research Settat, Settat, 26000, Morocco.
Heliyon. 2024 Mar 4;10(6):e27244. doi: 10.1016/j.heliyon.2024.e27244. eCollection 2024 Mar 30.
Accurate estimation of photovoltaic (PV) panels' temperature is crucial for an accurate assessment for both the electrical and thermal aspects and performances. In this study we propose an advanced simulation approach linking a double-diode (DD) electrical model using the Artificial hummingbird algorithm; for parameter extraction; and a two-dimensional finite-difference-based thermal model. The electrical-sub model is firstly validated in comparison to experimental data figuring in literature using three types of PV technologies, with a relative error of about 2%. Then, the coupled model is validated using in-situ experimental setup consisting of the usage of thin-film PV technology, temperature sensors, weather station and an infrared camera. The results from both simulations and experiments exhibit strong alignment with a relative error of not higher than 2%; mainly due to the used material calibration uncertainties and external perturbations. This holistic model can be indeed further optimized, still, it has a potential to advance the development in the research area of PV systems.Future efforts could involve additional experimentation to validate the model for different seasons of the year.
准确估算光伏（PV）面板的温度对于准确评估其电气和热方面的性能至关重要。在本研究中，我们提出了一种先进的模拟方法，该方法将使用人工蜂鸟算法进行参数提取的双二极管（DD）电气模型与基于二维有限差分的热模型相联系。首先，与文献中使用三种光伏技术的实验数据相比，对电气子模型进行了验证，相对误差约为2%。然后，使用由薄膜光伏技术、温度传感器、气象站和红外摄像机组成的现场实验装置对耦合模型进行了验证。模拟和实验结果显示出高度一致性，相对误差不高于2%；主要是由于所用材料校准的不确定性和外部扰动。这个整体模型确实可以进一步优化，不过，它有潜力推动光伏系统研究领域的发展。未来的工作可能包括进行更多实验，以验证该模型在一年中不同季节的情况。
