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Global Solar Radiation Prediction Using Sunshine Duration in Abu Dhabi - UAE

机译:在阿布扎比 - 阿联酋在阿布扎比的阳光持续时间全球太阳辐射预测

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Mathematical correlations have been used to predict the monthly average global solar radiation on horizontal using the sun hours as an input parameter. The study was carried out on two weather stations in the UAE, which are Abu Dhabi and Al Ain. The used correlations included the linear Angstrom-Prescott model and its derivations, namely, the second and third order correlations. Moreover, the single term exponential model, logarithmic model, linear logarithmic model and power model were all examined in this work. The performance of the aforementioned correlations as solar radiation estimators was evaluated by comparing the predicted values with the measured values, using statistical error tests. Except for the Coppolino model in Al Ain, all other regression models performed well as solar radiation estimators in both cities of Abu Dhabi and Al Ain. The Angstrom- Prescott model and the Newland model provided the best fits for Abu Dhabi and Al Ain, respectively.
机译:已经使用数学相关性来预测使用太阳小时作为输入参数来预测水平的每月平均全球太阳辐射。 该研究是在阿联酋的两个气象站上进行的,这是阿布扎比和Al Ain。 使用的相关性包括线性enire-Primcott模型及其导出,即,第二和三阶相关性。 此外,在这项工作中均检查单个术语指数模型,对数模型,线性对数模型和功率模型。 通过使用统计误差测试将预测值与测量值进行比较来评估上述相关性作为太阳辐射估计器的性能。 除了Al AIN中的Coppolino模型,所有其他回归模型也表现出色,作为阿布扎比和Al Ain的城市的太阳辐射估算。 Angstrom-Prescott模型和纽兰德模型分别为Abu Dhabi和Al Ain提供了最适合的。

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