清洁光伏组件温度预测及影响因素研究

STUDY ON TEMPERATURE PREDICTION AND INFLUENCE FACTORS OF CLEAN PHOTOVOLTAIC MODULES

将呼和浩特地区清洁光伏组件的温度作为研究对象,揭示了平行风速对该温度的影响机理,确定了影响该温度的主要外界因素。在不同倾斜面直散比工况下,采用多元线性回归法构建了清洁光伏组件温度的预测模型,并进行了拟合误差检验。结果表明:相同平行风速下的热边界层厚度随x清洁光伏组件板面计算点距离前缘点的距离按幂函数规律正相关变化,相同x处的热边界层厚度随平行风速按乘幂函数规律负相关变化,对流传热系数随雷诺数以乘幂函数规律正相关变化;清洁光伏组件温度与倾斜面太阳总辐照度间存在较明显的线性关系;不同倾斜平面直散比条件下,环境温度对清洁光伏组件温度的平均影响程度存在较大差异;预测模型的平均预测误差均小于4%。依据该研究可制定清洁光伏组件的降温提效方案。

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.