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Estimation of solar radiation over Jordan—predicted tables

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  • Jibril, Ziad

Abstract

As measured solar radiation data for all parts of Jordan are not available, they have to be estimated using correlation relations and models. This paper presents, for the first time, values of solar radiation over Jordan as estimated from these relations. Measurements of global solar irradiance on a horizontal surface and sunshine duration at nine meteorological stations in Jordan are correlated and used for prediction of the regression coefficients of an Angstrom type correlation relation at these stations and others which only have records of sunshine duration. Regional regression coefficients are obtained and used for prediction of global solar irradiance. The agreement with measurements is better than 5% and 1% on monthly and yearly basis respectively. Estimation of diffuse solar irradiance by Page's and also Liu and Jordan's correlations, as well as the direct beam component are also performed and the results are examined and presented. The abundance of solar energy in Jordan is evident from the daily average global solar irradiance which ranges between 5 and 7 kWh/m2. A correlation of Angstrom type of the form: H/Ho = 0.448+0.203 S/So is found suitable for Jordan with correlation coefficient r = 0.93.

Suggested Citation

  • Jibril, Ziad, 1991. "Estimation of solar radiation over Jordan—predicted tables," Renewable Energy, Elsevier, vol. 1(2), pages 277-291.
    • Handle: RePEc:eee:renene:v:1:y:1991:i:2:p:277-291
    DOI: 10.1016/0960-1481(91)90087-6
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    Cited by:

    1. Al-Soud, Mohammed S. & Hrayshat, Eyad S., 2004. "Rural photovoltaic electrification program in Jordan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(6), pages 593-598, December.
    2. Hrayshat, Eyad S. & Al-Soud, Mohammed S., 2004. "Potential of solar energy development for water pumping in Jordan," Renewable Energy, Elsevier, vol. 29(8), pages 1393-1399.
    3. Rehman, Shafiqur & Ghori, Saleem G, 2000. "Spatial estimation of global solar radiation using geostatistics," Renewable Energy, Elsevier, vol. 21(3), pages 583-605.
    4. Bashahu, M. & Nkundabakura, P., 1994. "Analysis of daily global irradiation data for five sites in Rwanda and one in Senegal," Renewable Energy, Elsevier, vol. 4(4), pages 425-435.

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