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Comparison of the Olmo model with global irradiance measurements on vertical surfaces at Madrid

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  • Ruiz, Enrique
  • Soler, Alfonso
  • Robledo, Luis

Abstract

The recently published Olmo model estimates global irradiance on inclined planes. It only requires the horizontal global irradiance and the sun’s azimuth and elevation as input parameters. As a consequence, it does not contain empirical coefficients that need determination for each location. Olmo and co-authors found a good agreement between predicted and experimental values obtained at their measuring site when a factor accounting for ground-reflected radiation was introduced in the model. In the present paper, the Olmo model is assessed in Madrid for vertical planes facing north, south, east and west. The model gives a root mean square error of ≅27%, when all data are used. With the data for the north-facing plane it becomes worse, i.e. ≅52%.

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  • Ruiz, Enrique & Soler, Alfonso & Robledo, Luis, 2002. "Comparison of the Olmo model with global irradiance measurements on vertical surfaces at Madrid," Energy, Elsevier, vol. 27(10), pages 975-986.
    • Handle: RePEc:eee:energy:v:27:y:2002:i:10:p:975-986
    DOI: 10.1016/S0360-5442(02)00013-0
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    References listed on IDEAS

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    1. Olmo, F.J & Vida, J & Foyo, I & Castro-Diez, Y & Alados-Arboledas, L, 1999. "Prediction of global irradiance on inclined surfaces from horizontal global irradiance," Energy, Elsevier, vol. 24(8), pages 689-704.
    2. Robledo, Luis & soler, Alfonso, 1998. "Modelling irradiance on inclined planes with an anisotropic model," Energy, Elsevier, vol. 23(3), pages 193-201.
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    1. García, Ignacio & de Blas, Marian & Hernández, Begoña & Sáenz, Carlos & Torres, José Luis, 2021. "Diffuse irradiance on tilted planes in urban environments: Evaluation of models modified with sky and circumsolar view factors," Renewable Energy, Elsevier, vol. 180(C), pages 1194-1209.
    2. 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.
    3. Cheng, C.L. & Chan, C.Y. & Chen, C.L., 2006. "An empirical approach to estimating monthly radiation on south-facing tilted planes for building application," Energy, Elsevier, vol. 31(14), pages 2940-2957.
    4. de Simón-Martín, Miguel & Alonso-Tristán, Cristina & Díez-Mediavilla, Montserrat, 2017. "Diffuse solar irradiance estimation on building's façades: Review, classification and benchmarking of 30 models under all sky conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 783-802.
    5. Cheng, C.L. & Chan, C.Y. & Chen, C.L., 2005. "Empirical approach to BIPV evaluation of solar irradiation for building applications," Renewable Energy, Elsevier, vol. 30(7), pages 1055-1074.
    6. Notton, Gilles & Paoli, Christophe & Ivanova, Liliana & Vasileva, Siyana & Nivet, Marie Laure, 2013. "Neural network approach to estimate 10-min solar global irradiation values on tilted planes," Renewable Energy, Elsevier, vol. 50(C), pages 576-584.
    7. Evseev, Efim G. & Kudish, Avraham I., 2009. "An assessment of a revised Olmo et al. model to predict solar global radiation on a tilted surface at Beer Sheva, Israel," Renewable Energy, Elsevier, vol. 34(1), pages 112-119.
    8. Muzathik, A.M. & Ibrahim, M.Z. & Samo, K.B. & Wan Nik, W.B., 2011. "Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements," Energy, Elsevier, vol. 36(2), pages 812-818.
    9. Notton, Gilles & Paoli, Christophe & Vasileva, Siyana & Nivet, Marie Laure & Canaletti, Jean-Louis & Cristofari, Christian, 2012. "Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks," Energy, Elsevier, vol. 39(1), pages 166-179.
    10. Dahmani, Kahina & Dizene, Rabah & Notton, Gilles & Paoli, Christophe & Voyant, Cyril & Nivet, Marie Laure, 2014. "Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model," Energy, Elsevier, vol. 70(C), pages 374-381.

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