Comparative Study of Solar Radiation Models for the Estimation of Solar Radiation Using Short-Term Meteorological Data in Lawra, Ghana

Emmanuel A. Sarsah, Adams Yunus, Abdul-Rahim Bawa, J. A. Akanbasiam
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Abstract

Monthly average daily global solar radiation data are essential for the design and study of solar energy systems. The performance and accuracy of eleven models for the estimation of monthly average global solar radiation were compared in this study. Nineteen months (Nov 2020 – May 2022) ground measurement data consisting of monthly mean daily sunshine duration, relative humidity, minimum and maximum temperatures, and global solar radiation collected from the Lawra Solar Plant were used. The models were compared using statistical indices. According to the indices, most of the models were in reasonably good agreement with the measured data. Two model equations, however, were found to have the highest accuracy and can thus be used to estimate monthly average global solar radiation in Lawra and other places with similar climatic conditions where radiation data is unavailable.
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利用加纳Lawra短期气象资料估算太阳辐射的太阳辐射模式比较研究
月平均日全球太阳辐射数据对太阳能系统的设计和研究至关重要。本文比较了11种估算全球月平均太阳辐射的模式的性能和精度。使用了从Lawra太阳能发电厂收集的19个月(2020年11月至2022年5月)地面测量数据,包括月平均每日日照时数、相对湿度、最低和最高温度以及全球太阳辐射。采用统计指标对模型进行比较。从指标上看,大部分模型与实测数据吻合较好。然而,发现有两个模式方程具有最高的准确性,因此可以用来估计Lawra和其他气候条件类似但无法获得辐射数据的地方的月平均全球太阳辐射。
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