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Solar radiation for Dhahran, Saudi Arabia

Author

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  • Bahel, V.
  • Srinivasan, R.
  • Bakhsh, H.

Abstract

An Eppley Normal Incidence Pyrheliometer (NIP) was used to measure the duration of the bright sunshine for Dhahran. These measurements were used to derive a linear correlation between the monthly average daily global solar radiation and the sunshine duration. On an annual basis, the agreement between the predicted and the measured global values is better than 4%. Assessment of the deviations between the measured and the computed global radiation for 11 Saudi Arabian stations are reported. We also found that the Dhahran radiation data fit the theoretical curve of Liu and Jordan, which correlates hourly values and daily totals of the global radiation.

Suggested Citation

  • Bahel, V. & Srinivasan, R. & Bakhsh, H., 1986. "Solar radiation for Dhahran, Saudi Arabia," Energy, Elsevier, vol. 11(10), pages 985-989.
    • Handle: RePEc:eee:energy:v:11:y:1986:i:10:p:985-989
    DOI: 10.1016/0360-5442(86)90029-0
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    Cited by:

    1. Besharat, Fariba & Dehghan, Ali A. & Faghih, Ahmad R., 2013. "Empirical models for estimating global solar radiation: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 798-821.
    2. Bakirci, Kadir, 2009. "Models of solar radiation with hours of bright sunshine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2580-2588, December.
    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.
    4. Rehman, Shafiqur & Bader, Maher A. & Al-Moallem, Said A., 2007. "Cost of solar energy generated using PV panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1843-1857, October.
    5. Bayrakçı, Hilmi Cenk & Demircan, Cihan & Keçebaş, Ali, 2018. "The development of empirical models for estimating global solar radiation on horizontal surface: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2771-2782.
    6. 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.
    7. Paulescu, M. & Stefu, N. & Calinoiu, D. & Paulescu, E. & Pop, N. & Boata, R. & Mares, O., 2016. "Ångström–Prescott equation: Physical basis, empirical models and sensitivity analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 495-506.
    8. Muzathik, A.M. & Ibrahim, M.Z. & Samo, K.B. & Wan Nik, W.B., 2011. "Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements," Energy, Elsevier, vol. 36(2), pages 812-818.
    9. Khalil, Samy A. & Shaffie, A.M., 2013. "A comparative study of total, direct and diffuse solar irradiance by using different models on horizontal and inclined surfaces for Cairo, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 853-863.
    10. Kheradmanda, Saeid & Nematollahi, Omid & Ayoobia, Ahmad Reza, 2016. "Clearness index predicting using an integrated artificial neural network (ANN) approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1357-1365.
    11. Rehman, Shafiqur & Halawani, Talal Omar, 1997. "Global solar radiation estimation," Renewable Energy, Elsevier, vol. 12(4), pages 369-385.
    12. Azadeh, A. & Sheikhalishahi, M. & Asadzadeh, S.M., 2011. "A flexible neural network-fuzzy data envelopment analysis approach for location optimization of solar plants with uncertainty and complexity," Renewable Energy, Elsevier, vol. 36(12), pages 3394-3401.
    13. Doorga, Jay R.S. & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "Modelling the global solar radiation climate of Mauritius using regression techniques," Renewable Energy, Elsevier, vol. 131(C), pages 861-878.
    14. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2015. "Review and statistical analysis of different global solar radiation sunshine models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1869-1880.
    15. Rehman, Shafiqur, 1999. "Empirical model development and comparison with existing correlations," Applied Energy, Elsevier, vol. 64(1-4), pages 369-378, September.
    16. Akinoǧlu, B.G., 1991. "A review of sunshine-based models used to estimate monthly average global solar radiation," Renewable Energy, Elsevier, vol. 1(3), pages 479-497.
    17. Wong, L. T. & Chow, W. K., 2001. "Solar radiation model," Applied Energy, Elsevier, vol. 69(3), pages 191-224, July.
    18. Gul Kaplan, Ayse & Alper Kaplan, Yusuf, 2020. "Developing of the new models in solar radiation estimation with curve fitting based on moving least-squares approximation," Renewable Energy, Elsevier, vol. 146(C), pages 2462-2471.
    19. Khalil, Samy A. & Shaffie, A.M., 2016. "Evaluation of transposition models of solar irradiance over Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 105-119.
    20. Bakirci, Kadir, 2009. "Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey," Energy, Elsevier, vol. 34(4), pages 485-501.
    21. 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.
    22. Azadeh, A. & Ghaderi, S.F. & Maghsoudi, A., 2008. "Location optimization of solar plants by an integrated hierarchical DEA PCA approach," Energy Policy, Elsevier, vol. 36(10), pages 3993-4004, October.
    23. Shaahid, S.M. & Elhadidy, M.A., 1994. "Wind and solar energy at Dhahran, Saudi Arabia," Renewable Energy, Elsevier, vol. 4(4), pages 441-445.
    24. Makade, Rahul G. & Jamil, Basharat, 2018. "Statistical analysis of sunshine based global solar radiation (GSR) models for tropical wet and dry climatic Region in Nagpur, India: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 22-43.

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