利用环境温度模拟全球太阳辐射

Mohamed A. Ali , Ashraf Elsayed , Islam Elkabani , M. Elsayed Youssef , Gasser E. Hassan
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引用次数: 0

摘要

准确的太阳辐射信息被认为是确定太阳能可用性的最重要阶段。同时,它也被认为是各种太阳能应用的主要输入信息。由于世界上许多地方都没有太阳辐射测量数据,因此人们开发了许多太阳辐射模型来预测全球太阳辐射。在这方面,本研究的目标是为目前缺乏精确模型的新地点开发精确、快速的全球太阳辐射(GSR)模型。此外,还将评估最近推出的模型在这五个新地点的性能,该模型是基于温度的全球太阳辐射估算最佳模型之一。此外,还对苏伊士运河区整个区域的拟议模型的泛化能力进行了研究,并对其性能进行了比较分析。模型的估计值与观测值进行了比较,并获得了最常见的性能指标来评估模型的性能。研究结果表明,本研究开发的模型可以准确预测全球太阳辐射。除塞得港市(沿海地区)的局部模型为 91% 外,其他所有地点的模型(包括局部模型和一般模型)的性能均大于 95%。此外,开发的模型具有良好的 RMSE 和 MABE 值,分别为 0.8 至 1.8(兆焦耳/平方米-天-1)和 0.7 至 1.7(兆焦耳/平方米-天-1)。此外,它们还具有出色的性能,其判定系数 (R2) 值范围为 0.95 至 0.98,而先前研究的 R2 值范围为 0.884 至 0.895,RMSE 值范围为 2.69 至 3.367(兆焦耳/平方米-天-1)。因此,本研究开发的模型可用于准确预测海参资源量,其适用性很强,可通过与各种长期或短期天气预报方法相结合来实现,这些方法大多用于可靠地预测天气温度。此外,这些模型对 GSR 的精确和快速计算也可用于各种太阳能应用的设计和性能评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling global solar radiation using ambient temperature

Modeling global solar radiation using ambient temperature

Accurate information about solar radiation is regarded as the most important stage in determining the availability of solar energy. As well, it is considered the principal input for various applications of solar energy. Because solar radiation measurements are unavailable at many locations throughout the world, many solar radiation models have been developed to predict global solar radiation. In this regard, this study objects to develop accurate and quick Global Solar Radiation (GSR) models for new locations, which currently lack an accurate model. Additionally, assess the performance of a recently introduced model, one of the best temperature-based models for GSR estimation, in these five new sites. Moreover, the proposed model's generalization capacity is investigated over the whole zone, the Suez Canal Zone, and a comparative analysis of its performance is presented. Models’ estimation is compared to the observed values, and the most common performance indicators are obtained to assess models’ performance. The findings indicate that the developed models in this study can predict global solar radiation accurately. Where the Models’ performance, both the local and general models, are larger than 95 % at all sites except for the local one at Port Said City (coastal site), it is 91 %. Additionally, the developed models have good RMSE and MABE values which range from 0.8 to 1.8 (MJ/m2 day−1) and 0.7 to 1.7 (MJ/m2 day−1), successively. Besides, they have excellent performance with coefficient of determination (R2) values ranging from 0.95 to 0.98, whereas prior research's ranges are 0.884–0.895 for R2 and 2.69–3.367 (MJ/m2 day−1) for RMSE. Therefore, the developed models in this study can be utilized for accurate GSR forecast, with their high applicability which may be achieved by combining them with various long- or short-term weather forecasting approaches, that are mostly used to reliably anticipate weather temperature. As well, these models' precise and speedy computation of GSR can also be employed in the design and performance evaluation of various solar applications.

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