Experimental study on effect of multi-factor coupling on surface temperature of photovoltaic module

被引:0
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作者
Wang, Chunlong [1 ,2 ,3 ,4 ]
Yang, Airong [1 ,2 ,3 ,4 ]
Li, Jinping [1 ,2 ,3 ,4 ]
Wang, Lei [1 ,2 ,3 ,4 ]
Si, Zetian [1 ,2 ,3 ,4 ]
机构
[1] Western China Energy & Environment Research Center, Lanzhou University of Technology, Lanzhou,730050, China
[2] Key Laboratory of Complementary Energy System of Biomass and Solar Energy Gansu Province, Lanzhou,730050, China
[3] China Northwestern Collaborative Innovation Center of Low-carbon Urbanization Technologies, Lanzhou,730050, China
[4] College of Energy and Power Engineerin, Lanzhou University of Technology, Lanzhou,730050, China
来源
关键词
Grey relational analysis - Linear regression equation - Multi factors - Multiple linear regression analysis - Photovoltaic modules - Photovoltaic power generation - Photovoltaic power generation systems - PV modules;
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学科分类号
摘要
The research on the effect of low temperature (below 0℃) on photovoltaic power generation is relatively fewer. In order to further study the influence of temperature on power generation. The effect of each factor on the surface temperature of PV module is studied in this paper. The factors were analyzed quantitatively by using the grey relational analysis. The optimal relevance order is solar irradiance, the ambient temperature, wind speed and humidity. Further, the relationship between the factors and the surface temperature of PV module were analyzed by using multiple linear regression analysis. The results showed that the PV module positive temperature increase 0.037℃, when the solar irradiance increases 1 W/m2, increase 0.851℃ when the ambient temperature rise 1℃, decrease 0.421℃ when wind speed increases 1 m/s, increase 0.248℃ when the humidity increase 1%. Secondly, according to the characteristics of photovoltaic cells conversion, the effect of the surface temperature of PV module on output voltage, current and power generation was also studied experimentally. And the relationship was analyzed by using the linear regression equation. The result showed that the power generation increased by 0.016 Wh when PV module positive temperature increase 1℃. © 2019, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.
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页码:112 / 118
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