Study on temperature prediction and influence factors of clean photovoltaic modules

被引：0
|
作者：
Guo X. [1 ,2 ,3 ]
Tian R. [1 ,2 ,3 ]
Qiu Y. [1 ,3 ]
Wang X. [1 ,3 ]
Yan S. [1 ,2 ,3 ]
Shi Z. [1 ,2 ,3 ]
机构：
[1] College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot
[2] Inner Mongolia Key Laboratory of Renewable Energy, Hohhot
[3] Hohhot
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 11期
关键词：
Factor analysis; Multivariable linear regression; Photovoltaic module; Prediction; Temperature;
D O I：
10.19912/j.0254-0096.tynxb.2019-1335
中图分类号：
学科分类号：
摘要：
In this paper, the temperature of fixed installed clean photovoltaic modules was taken as the research object in Hohhot. The influence mechanism of parallel wind speed on the temperature of clean PV module was revealed. The main external factors affecting the temperature of clean PV module were determined. Under the condition of different direct-scatter ratio on inclined plane, the prediction model of clean PV module temperature was obtained by multiple linear regression method, and the fitting errors were tested. The results show that the thickness of the thermal boundary layer at the same parallel wind speed is positively correlated with x according to the law of power function, and the thickness of the thermal boundary layer at the same x is negatively correlated with the law of power function. The positive correlation of convective heat transfer coefficient with Reynolds number. There is a linear relationship between the clean PV module temperature and the total solar irradiance on the inclined surface, the mean influence degree of ambient temperature on the temperature of clean photovoltaic modules is quite different. The average prediction error is less than 4%. This work has a great significance for the development of cooling and efficiency improvement scheme of clean photovoltaic modules. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码：76 / 85
页数：9
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