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Analytical model for the prediction of solar cell temperature for a high-concentration photovoltaic system
Case Studies in Thermal Engineering ( IF 6.8 ) Pub Date : 2021-02-19 , DOI: 10.1016/j.csite.2021.100890
Fahad Gallab Al-Amri , Tasneem Isam Mohammed Abdelmagid

This study presents a simple analytical model for the prediction of solar cell temperature for a high concentration photovoltaic system. The model is based on a heat transfer approach through the system's backplate. The results show that the solar cell temperature is governed by the incident light, material characteristics, ambient conditions, and cell size. The parameters that have a crucial impact on reducing the solar cell temperature were the backplate emissivity, wind velocity, backplate thickness, and backplate length. The backplate coating was found to be of paramount importance due to the considerable reduction of the solar cell temperature with emissivity. Higher wind speeds ventilated the HCPV system and helped lower the cell temperature through convective heat transfer. The thicker the backplate, the lower the cell temperature is due to thermal diffusion on the plate. But this finding prevailed only up to a certain thickness, after which its feasibility is neither maintained nor guaranteed. The study recommends using smaller cell sizes in harsh environments of ambient temperature higher than 40 °C to help manage the reduction of the cell temperature below a critical value of 80 °C.



中文翻译:

用于高浓度光伏系统的太阳能电池温度预测的分析模型

这项研究提出了一个简单的分析模型,用于预测高浓度光伏系统的太阳能电池温度。该模型基于通过系统背板的传热方法。结果表明,太阳能电池的温度受入射光,材料特性,环境条件和电池尺寸的控制。对降低太阳能电池温度至关重要的参数是背板发射率,风速,背板厚度和背板长度。发现背板涂层是最重要的,这是因为随着发射率太阳能电池温度的显着降低。较高的风速为HCPV系统通风,并通过对流传热帮助降低了电池温度。背板越厚,电池温度越低是由于板上的热扩散所致。但是这一发现只在一定厚度下才占优势,此后既不维持也不保证其可行性。该研究建议在环境温度高于40°C的恶劣环境中使用较小尺寸的电池,以帮助将电池温度降低到低于80°C的临界值。

更新日期:2021-02-26
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