Forecasting the Diffuse Solar Radiation by using a New Modeling over Saudi Arabia

S. Khalil
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引用次数: 1

Abstract

Within the arranging and execution assessment of solar energy projects, particularly within the planning and estimation of solar photovoltaic sources as elective energy sources within the future, exact evaluation of Diffuse Solar Radiation (DSR) is one of the essential and basic issues. The target of this article is to use the new model to predict DSR in four different locations in Saudi Arabia. The author explored the available meteorological and radiation data. The data covers the 25 years from 1990 to 2014 and were measured at Al-Baha, Abha, Jeddah and Taif locations in Saudi Arabia. Through detailed statistical evaluation and analysis, 19 empirical models were tested to construct the best empirical model to estimate the monthly average daily DSR of Saudi Arabia. Using widely used statistical errors, namely MBE, MPE, RMSE, U95, R, t-test and GPI the proposed correlation model was compared with 19 models provided in the literature. Through this analysis, the cubic empirical equation model is selected as the good model. Compared with these existing models, this model reveals accurate results with minimal statistical errors. Based on these results, Model 22 gives the highest GPI value. The conclusion is the cubic equation model of the diffusion fraction (i.e., D/G = 0.215+2.123 (S/So) -3.547(S/So)2+5.142 (S/So)3 is the best agreement model that has been mentioned in the previous discussion. This model is a generalized equation in Saudi Arabia, which can forecast the monthly average daily diffuse radiation on the horizontal plane at any site under similar climatic conditions without the measured climatic conditions. Experts or architects can use this model to perform site selection and technical and financial evaluation of solar energy applications and photovoltaic technology.
用一种新的模式预报沙特阿拉伯上空的太阳漫射辐射
在太阳能项目的安排和实施评估中,特别是在未来太阳能光伏能源作为可选能源的规划和评估中,准确评估太阳漫射辐射(DSR)是必不可少的基础问题之一。本文的目标是使用新模型来预测沙特阿拉伯四个不同地点的DSR。作者探讨了现有的气象和辐射资料。这些数据涵盖了从1990年到2014年的25年,是在沙特阿拉伯的Al-Baha、Abha、吉达和塔伊夫地区测量的。通过详细的统计评价和分析,对19个实证模型进行了检验,以构建估算沙特阿拉伯月平均日DSR的最佳实证模型。采用MBE、MPE、RMSE、U95、R、t检验和GPI等常用统计误差,将本文提出的相关模型与文献中的19个模型进行比较。通过分析,选择三次经验方程模型作为较好的模型。与现有模型相比,该模型结果准确,统计误差最小。基于这些结果,模型22给出了最高的GPI值。结论为扩散分数的三次方程模型(即D/G = 0.215+2.123 (S/So) -3.547(S/So)2+5.142 (S/So)3)是前面讨论中提到的最佳一致性模型。该模型是沙特阿拉伯的一个广义方程,可以在不测量气候条件的情况下,预测相似气候条件下任意地点水平面上的月平均日漫射辐射。专家或建筑师可以使用这个模型来进行太阳能应用和光伏技术的选址、技术和财务评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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