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The all-sky meteorological radiation model: proposed improvements

Author

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  • Muneer, T.
  • Younes, S.

Abstract

The all-sky meteorological radiation model is a broadband solar-radiation estimation model that uses synoptic and sunshine information. The original model due to Muneer-Gul-Kambezidis was improved using regressions based on the sunshine fraction to increase the accuracy of the estimation of diffuse horizontal irradiation, thus achieving an accuracy increase for the estimation of the global horizontal irradiation. The improved model was validated using data from ten worldwide sites and using three statistical indicators:-coefficient of determination between computed and measured global irradiation data and the relevant, mean bias error and the root mean square error of the computed global irradiation. The performance of the new model was improved when compared to that of the original model. The new regression coefficients were found to be more accurate in estimating global horizontal radiation for both fine and coarse datasets.

Suggested Citation

  • Muneer, T. & Younes, S., 2006. "The all-sky meteorological radiation model: proposed improvements," Applied Energy, Elsevier, vol. 83(5), pages 436-450, May.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:5:p:436-450
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    Cited by:

    1. Chow, Stanley K.H. & Li, Danny H.W. & Lee, Eric W.M. & Lam, Joseph C., 2013. "Analysis and prediction of daylighting and energy performance in atrium spaces using daylight-linked lighting controls," Applied Energy, Elsevier, vol. 112(C), pages 1016-1024.
    2. Younes, S. & Muneer, T., 2007. "Clear-sky classification procedures and models using a world-wide data-base," Applied Energy, Elsevier, vol. 84(6), pages 623-645, June.
    3. Miguel, A.F. & Silva, A., 2010. "Solar irradiation in diffusely enclosures with partitions," Applied Energy, Elsevier, vol. 87(3), pages 836-842, March.
    4. Laslett, Dean & Creagh, Chris & Jennings, Philip, 2014. "A method for generating synthetic hourly solar radiation data for any location in the south west of Western Australia, in a world wide web page," Renewable Energy, Elsevier, vol. 68(C), pages 87-102.
    5. Germán Ramos Ruiz & Carlos Fernández Bandera, 2017. "Validation of Calibrated Energy Models: Common Errors," Energies, MDPI, vol. 10(10), pages 1-19, October.

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