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太阳辐照量数据在太阳能热利用中具有关键作用,为了较准确得到辽宁省内7个无据可查的城市的水平面年总太阳辐照量,本文在对影响水平面年总太阳辐照量的多种因素进行分析的基础上,结合其它相关已知信息,建立了由城市的纬度、海拔和年日照时数构成的多元线性回归模型,并利用与待求数据城市处于同一大气透明度分区的国内49个已知各项数据的城市作为回归样本,从而获得具体的回归方程。误差分析结果表明,此时最大相对误差可控制在±6.8%以内。另外,还利用太阳辐照量估算值与回归用样本数目的变化关系曲线,对省内各城市的太阳辐照情况进行了聚类分析,结果表明,此时可将估算值的参考误差缩小至±2.2%。
Solar radiation data plays a key role in the utilization of solar thermal energy. In order to get the total annual solar irradiance in seven undirected cities in Liaoning Province accurately, Based on the analysis of various factors and other related known information, a multivariate linear regression model consisting of the latitude, altitude and annual sunshine hours of the city is established and the data are collected in the same area 49 cities with all the known data are used as regression samples to obtain the specific regression equation. Error analysis results show that the maximum relative error can be controlled within ± 6.8%. In addition, a cluster analysis of the solar radiation in each city in the province was conducted by using the relationship between the solar radiation estimation and the regression sample number. The results show that the reference error of the estimation can be reduced to ± 2.2%.