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Global, direct and diffuse solar-radiation in Syria

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  • Al-Mohamad, Ali

Abstract

Solar-radiation components, namely global, diffuse and direct, were calculated over the Syrian landmass using several mathematical equations starting from the Angström formula. An appropriate theoretical method and a computer program were specially designed and developed for these calculations. The program provides fast, direct and accurate information about the global, diffuse and direct solar-radiations on any site in the country. In addition, the applicability, precision and the accuracy of this method has been statistically tested. The relative percentage error between the calculated values and the meteorological data was found to be in the range of ±3% in the worst case (i.e., for winter time).

Suggested Citation

  • Al-Mohamad, Ali, 2004. "Global, direct and diffuse solar-radiation in Syria," Applied Energy, Elsevier, vol. 79(2), pages 191-200, October.
    • Handle: RePEc:eee:appene:v:79:y:2004:i:2:p:191-200
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    References listed on IDEAS

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    1. Veeran, P.K. & Kumar, S., 1993. "Diffuse radiation on a horizontal surfaces at Madras," Renewable Energy, Elsevier, vol. 3(8), pages 931-934.
    2. Jacovides, C.P. & Kaltsunides, N. & Hachioannou, L. & Stefanou, L., 1993. "An assessment of the solar radiation climate of the Cyprus environment," Renewable Energy, Elsevier, vol. 3(8), pages 913-918.
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    Cited by:

    1. Karakoti, Indira & Das, Prasun Kumar & Singh, S.K., 2012. "Predicting monthly mean daily diffuse radiation for India," Applied Energy, Elsevier, vol. 91(1), pages 412-425.
    2. Ranganathan, Raghuram & Mikhael, Wasfy & Kutkut, Nasser & Batarseh, Issa, 2011. "Adaptive sun tracking algorithm for incident energy maximization and efficiency improvement of PV panels," Renewable Energy, Elsevier, vol. 36(10), pages 2623-2626.
    3. Jawed Mustafa & Shahid Husain & Saeed Alqaed & Uzair Ali Khan & Basharat Jamil, 2022. "Performance of Two Variable Machine Learning Models to Forecast Monthly Mean Diffuse Solar Radiation across India under Various Climate Zones," Energies, MDPI, vol. 15(21), pages 1-32, October.
    4. Jiang, Yingni, 2009. "Estimation of monthly mean daily diffuse radiation in China," Applied Energy, Elsevier, vol. 86(9), pages 1458-1464, September.
    5. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    6. Poulet, P. & Outbib, R., 2015. "Energy production for dwellings by using hybrid systems based on heat pump variable input power," Applied Energy, Elsevier, vol. 147(C), pages 413-429.
    7. Jamil, Basharat & Akhtar, Naiem, 2017. "Estimation of diffuse solar radiation in humid-subtropical climatic region of India: Comparison of diffuse fraction and diffusion coefficient models," Energy, Elsevier, vol. 131(C), pages 149-164.
    8. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparative analysis of diffuse solar radiation models based on sky-clearness index and sunshine period for humid-subtropical climatic region of India: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 329-355.
    9. 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.

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