The development of empirical models for estimating global solar radiation on horizontal surface: A case study

Hilmi Cenk Bayrakçı, Cihan Demircan and Ali Keçebaş

Renewable and Sustainable Energy Reviews, 2018, vol. 81, issue P2, 2771-2782

Abstract: This paper presents a comparison between empirical models in the literature and the development of new models for estimating global solar radiation on the horizontal surface in the city of Muğla/Turkey. The necessary meteorological data are collected using a Kipp and Zonen pyranometer installed at the University Campus of the Muğla Sıtkı Koçman University and the records are available from 2007 to 2015, inclusive. In total 105 literature models are assessed to estimate global solar radiation in the Muğla Province using MATLAB software program on the basis of statistical tests such as mean bias error (MBE), mean percentage error (MPE), mean absolute percentage error (MAPE), mean absolute bias error (MABE), root mean squared error (RMSE) and coefficient of determination (R2). The results indicate that only two models (Veeran and Kumar/model 24, Chegaar and Chibani/model 35) are within the ±10% acceptable statistical error limits. In this paper, 7 new models are calibrated in the same manner leading to less than 0.8 error values as high R2 values. In order to reduce the error values of these models data sets are divided into two semesters (January–June and July–December). In addition, Benson's model is investigated and compared with the previous models. Finally, it is found that the cubic and quadratic models are appropriate for January–June and July–December periods, respectively.

Keywords: Solar energy; Global solar radiation; Sunshine duration; Empirical models; Statistical test (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:81:y:2018:i:p2:p:2771-2782

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DOI: 10.1016/j.rser.2017.06.082

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