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A simple formula for estimating global solar radiation in central arid deserts of Iran

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  • Sabziparvar, Ali A.

Abstract

Over the last two decades, using simple radiation models has been an interesting task to estimate daily solar radiation in arid and semi-arid deserts such as those in Iran, where the number of solar observation sites is poor. In Iran, most of the models used so far, have been validated for a few specific locations based on short-term solar observations. In this work, three different radiation models (Sabbagh, Paltridge, Daneshyar) have been revised to predict the climatology of monthly average daily solar radiation on horizontal surfaces in various cities in central arid deserts of Iran. The modifications are made by the inclusion of altitude, monthly total number of dusty days and seasonal variation of Sun–Earth distance. A new height-dependent formula is proposed based on MBE, MABE, MPE and RMSE statistical analysis. It is shown that the revised Sabbagh method can be a good estimator for the prediction of global solar radiation in arid and semi-arid deserts with an average error of less than 2%, that performs a more accurate prediction than those in the previous studies. The required data for the suggested method are usually available in most meteorological sites. For the locations, where some of the input data are not reported, an alternative approach is presented.

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  • Sabziparvar, Ali A., 2008. "A simple formula for estimating global solar radiation in central arid deserts of Iran," Renewable Energy, Elsevier, vol. 33(5), pages 1002-1010.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:5:p:1002-1010
    DOI: 10.1016/j.renene.2007.06.015
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    2. Behrang, M.A. & Assareh, E. & Noghrehabadi, A.R. & Ghanbarzadeh, A., 2011. "New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique," Energy, Elsevier, vol. 36(5), pages 3036-3049.
    3. Khorasanizadeh, H. & Mohammadi, K., 2013. "Introducing the best model for predicting the monthly mean global solar radiation over six major cities of Iran," Energy, Elsevier, vol. 51(C), pages 257-266.
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    6. Besarati, Saeb M. & Padilla, Ricardo Vasquez & Goswami, D. Yogi & Stefanakos, Elias, 2013. "The potential of harnessing solar radiation in Iran: Generating solar maps and viability study of PV power plants," Renewable Energy, Elsevier, vol. 53(C), pages 193-199.
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    9. Li, Huashan & Lian, Yongwang & Wang, Xianlong & Ma, Weibin & Zhao, Liang, 2011. "Solar constant values for estimating solar radiation," Energy, Elsevier, vol. 36(3), pages 1785-1789.
    10. Sabzpooshani, Majid & Mohammadi, Kasra, 2014. "Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran," Energy, Elsevier, vol. 69(C), pages 571-577.
    11. El Ouderni, Ahmed Ridha & Maatallah, Taher & El Alimi, Souheil & Ben Nassrallah, Sassi, 2013. "Experimental assessment of the solar energy potential in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 155-168.
    12. Thi Thu Em Vo & Seung-Mo Je & Se-Hoon Jung & Jaehyeon Choi & Jun-Ho Huh & Han-Jong Ko, 2022. "Review of Photovoltaic Power and Aquaculture in Desert," Energies, MDPI, vol. 15(9), pages 1-18, April.
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