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Testing of two models for computing global solar radiation on tilted surfaces

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  • Nijmeh, Salem
  • Mamlook, Rustom

Abstract

Solar radiation data computerly measured at Amman, Jordan was used to verify the performance accuracy of two models for estimation of global radiation on tilted surfaces. The measurements used in this study were the daily totals of global radiation on a horizontal surface, diffuse radiation on a horizontal surface and global radiation on a 45° tilted surface. The measured radiation using microprocessor based weather station was compared with the computerized results obtained from two widely used models for estimating total radiation on tilted surfaces. These are the isotropic model and Hay’s anisotropic model. The study showed that the models are in good agreement with the isotropic model producing slightly better results during the summer months. Hay’s model resulted in better results for the rest of the year.

Suggested Citation

  • Nijmeh, Salem & Mamlook, Rustom, 2000. "Testing of two models for computing global solar radiation on tilted surfaces," Renewable Energy, Elsevier, vol. 20(1), pages 75-81.
    • Handle: RePEc:eee:renene:v:20:y:2000:i:1:p:75-81
    DOI: 10.1016/S0960-1481(99)00091-9
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    Citations

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    Cited by:

    1. Grażyna Frydrychowicz-Jastrzębska & Artur Bugała, 2015. "Modeling the Distribution of Solar Radiation on a Two-Axis Tracking Plane for Photovoltaic Conversion," Energies, MDPI, vol. 8(2), pages 1-17, January.
    2. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    3. Ayvazoğluyüksel, Özge & Filik, Ümmühan Başaran, 2018. "Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskişehir," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 639-653.
    4. Chih-Chiang Wei, 2019. "Evaluation of Photovoltaic Power Generation by Using Deep Learning in Solar Panels Installed in Buildings," Energies, MDPI, vol. 12(18), pages 1-18, September.
    5. Park, Hyo Seon & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Jeong, Kwangbok, 2016. "A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 179(C), pages 211-227.
    6. Kaddoura, Tarek O. & Ramli, Makbul A.M. & Al-Turki, Yusuf A., 2016. "On the estimation of the optimum tilt angle of PV panel in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 626-634.
    7. Pandey, Chanchal Kumar & Katiyar, A.K., 2011. "A comparative study of solar irradiation models on various inclined surfaces for India," Applied Energy, Elsevier, vol. 88(4), pages 1455-1459, April.
    8. Noorian, Ali Mohammad & Moradi, Isaac & Kamali, Gholam Ali, 2008. "Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces," Renewable Energy, Elsevier, vol. 33(6), pages 1406-1412.

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