Empirical models for estimating global solar radiation: A review and case study

Fariba Besharat, Ali A. Dehghan and Ahmad R. Faghih

Renewable and Sustainable Energy Reviews, 2013, vol. 21, issue C, 798-821

Abstract: Solar radiation is a primary driver for many physical, chemical, and biological processes on the earth’s surface. Solar energy engineers, architects, agriculturists, hydrologists, etc. often require a reasonably accurate knowledge of the availability of the solar resource for their relevant applications at their local. In solar applications, one of the most important parameters needed is the long-term average daily global irradiation. For regions where no actual measured values are available, a common practice is to estimate average daily global solar radiation using appropriate empirical correlations based on the measured relevant data at those locations. These correlations estimate the values of global solar radiation for a region of interest from more readily available meteorological, climatological, and geographical parameters. The main objective of this study is to chronologically collect and review the extensive global solar radiation models available in the literature and to classify them into four categories, i.e., sunshine-based, cloud-based, temperature-based, and other meteorological parameter-based models, based on the employed meteorological parameters as model input.

Keywords: Solar energy; Global solar radiation model; Meteorological parameters; Regression coefficient; Yazd (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (76)

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DOI: 10.1016/j.rser.2012.12.043

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