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Comparative study on different models for estimation of direct normal irradiance (DNI) over Egypt atmosphere

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  • Madkour, M.A.
  • El-Metwally, M.
  • Hamed, A.B.

Abstract

The results obtained by using seven-parameterization broadband models to estimate Direct Normal Irradiance (DNI) along with two spectral models for four sites in Egypt atmosphere were compared with ground DNI measurements. Some statistical indicators (MBE, RMSE and R2) have been used to measure the performance of the used models. MBE for all dataset is <1% to both spectral models (SPCTRAL2, SMARTS2) and broadband models (MLWT1, MLWT2 and REST) while is equal to 1.2% to YANG model. However, RMSE are around 2% for spectral models and 3% to the broadband models. The error in prediction of DNI to such models is below experimental errors a part from the big number of observations. On the other hand, Louche, Dogniaux and Rodgers models provide relatively bad performance, RMSE are at most cases >4%. Determination coefficient (R2) results to all models are near 1.0. If we excluded spectral models, the broadband models MLWT1, MLWT2 and REST along with YANG models provide the best performance in all tests, therefore, those models can be used in Egypt atmosphere.

Suggested Citation

  • Madkour, M.A. & El-Metwally, M. & Hamed, A.B., 2006. "Comparative study on different models for estimation of direct normal irradiance (DNI) over Egypt atmosphere," Renewable Energy, Elsevier, vol. 31(3), pages 361-382.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:3:p:361-382
    DOI: 10.1016/j.renene.2005.03.009
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    References listed on IDEAS

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    2. Jacovides, C.P. & Kaskaoutis, D.G. & Tymvios, F.S. & Asimakopoulos, D.N., 2004. "Application of SPCTRAL2 parametric model in estimating spectral solar irradiances over polluted Athens atmosphere," Renewable Energy, Elsevier, vol. 29(7), pages 1109-1119.
    3. Tadros, M.T.Y. & El-Metwally, M. & Hamed, A.B., 2002. "Determination of Ångström coefficients from spectral aerosol optical depth at two sites in Egypt," Renewable Energy, Elsevier, vol. 27(4), pages 621-645.
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    3. Benkaciali, Saïd & Haddadi, Mourad & Khellaf, Abdellah, 2018. "Evaluation of direct solar irradiance from 18 broadband parametric models: Case of Algeria," Renewable Energy, Elsevier, vol. 125(C), pages 694-711.
    4. Choi, Kelvin, Tsz Hei & Brindley, Helen & Ekins-Daukes, N. & Escobar, Rodrigo, 2021. "Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications," Renewable Energy, Elsevier, vol. 173(C), pages 1070-1086.
    5. Garniwa, Pranda M.P. & Lee, Hyunjin, 2023. "Intercomparison of the parameterized Linke turbidity factor in deriving global horizontal irradiance," Renewable Energy, Elsevier, vol. 212(C), pages 285-298.
    6. Sun, Xixi & Bright, Jamie M. & Gueymard, Christian A. & Bai, Xinyu & Acord, Brendan & Wang, Peng, 2021. "Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Liu, H. & Hu, B. & Zhang, L. & Zhao, X.J. & Shang, K.Z. & Wang, Y.S. & Wang, J., 2017. "Ultraviolet radiation over China: Spatial distribution and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1371-1383.

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