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Assessment of solar radiation models for the Gulf Arabian countries

Author

Listed:
  • Al Mahdi, N.
  • Al Baharna, N.S.
  • Zaki, F.F.

Abstract

A statistical assessment of the accuracy of 12 solar radiation models for five meteorological stations in the Gulf Arabian states namely Abu Dhabi, Bahrain, Doha, Kuwait and Riyadh, is presented. The first six models are of the regression type in which the measured global radiation is correlated with the sunshine hours and other meteorological parameters. The other six models are based on the calculation of clear sky radiation and the effects of cloud amount and sky transmittance. The models are assessed in terms of the root mean square error and the mean bias error. The obtained results indicate some inconsistency of published data for Abu Dhabi, Bahrain and Doha stations. However, using Kuwait and Riyadh stations as a basis for the evaluation, two models are recommended for the estimation of monthly average daily and hourly global radiation for the Gulf states.

Suggested Citation

  • Al Mahdi, N. & Al Baharna, N.S. & Zaki, F.F., 1992. "Assessment of solar radiation models for the Gulf Arabian countries," Renewable Energy, Elsevier, vol. 2(1), pages 65-71.
  • Handle: RePEc:eee:renene:v:2:y:1992:i:1:p:65-71
    DOI: 10.1016/0960-1481(92)90061-7
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    References listed on IDEAS

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    1. Bahel, V. & Bakhsh, H. & Srinivasan, R., 1987. "A correlation for estimation of global solar radiation," Energy, Elsevier, vol. 12(2), pages 131-135.
    2. Alnaser, W.E., 1989. "Empirical correlation for total and diffuse radiation in Bahrain," Energy, Elsevier, vol. 14(7), pages 409-414.
    3. Bahel, V. & Srinivasan, R. & Bakhsh, H., 1987. "Statistical comparison of correlations for estimation of global horizontal solar radiation," Energy, Elsevier, vol. 12(12), pages 1309-1316.
    4. Alnaser, W.E. & Almohanadi, A.H., 1990. "Wind and solar energy in Qatar," Energy, Elsevier, vol. 15(10), pages 931-934.
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    Cited by:

    1. Islam, M.D. & Alili, A.A. & Kubo, I. & Ohadi, M., 2010. "Measurement of solar-energy (direct beam radiation) in Abu Dhabi, UAE," Renewable Energy, Elsevier, vol. 35(2), pages 515-519.
    2. El Chaar, Lana & Lamont, Lisa A., 2010. "Global solar radiation: Multiple on-site assessments in Abu Dhabi, UAE," Renewable Energy, Elsevier, vol. 35(7), pages 1596-1601.
    3. Hepbasli, Arif & Alsuhaibani, Zeyad, 2011. "A key review on present status and future directions of solar energy studies and applications in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5021-5050.
    4. Islam, M.D. & Kubo, I. & Ohadi, M. & Alili, A.A., 2009. "Measurement of solar energy radiation in Abu Dhabi, UAE," Applied Energy, Elsevier, vol. 86(4), pages 511-515, April.
    5. Juaidi, Adel & Montoya, Francisco G. & Gázquez, Jose A. & Manzano-Agugliaro, Francisco, 2016. "An overview of energy balance compared to sustainable energy in United Arab Emirates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1195-1209.
    6. Mokri, Alaeddine & Aal Ali, Mona & Emziane, Mahieddine, 2013. "Solar energy in the United Arab Emirates: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 340-375.
    7. Njau, E.c., 1999. "Differential variations of maximum and minimum temperatures," Renewable Energy, Elsevier, vol. 18(2), pages 147-155.
    8. Lin, Wenxian & Lu, Enrong, 1998. "Correlations between monthly average global solar radiation on horizontal surfaces and relative duration of sunshine in Yunnan Province, China," Renewable Energy, Elsevier, vol. 13(3), pages 355-362.

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