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Estimation methods for global solar radiation: Case study evaluation of five different approaches in central Spain

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  • Urraca, R.
  • Martinez-de-Pison, E.
  • Sanz-Garcia, A.
  • Antonanzas, J.
  • Antonanzas-Torres, F.

Abstract

Solar radiation can be estimated by a variety of methods in an attempt to overcome the limitations of on-ground records. Novel methods are often appearing but these are rarely compared to others from a different approach. This study surveys the main types of estimation methods for daily Global Horizontal Irradiation (GHI), and then, one characteristic technique per group is selected, discarding possible hybrid approaches: a parametric model based on temperatures and precipitation (Antonanzas model), a statistical model (XGBoost), interpolated ground-based measurements (Ordinary Kriging (OK)), a satellite-based dataset (CM-SAF-SARAH), and a reanalysis dataset (ERA-Interim). The techniques are evaluated in relation to the seasonal variation, the clearness index and the spatial performance at 38 grounds stations in central Spain from 2001 to 2013.

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  • Urraca, R. & Martinez-de-Pison, E. & Sanz-Garcia, A. & Antonanzas, J. & Antonanzas-Torres, F., 2017. "Estimation methods for global solar radiation: Case study evaluation of five different approaches in central Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1098-1113.
    • Handle: RePEc:eee:rensus:v:77:y:2017:i:c:p:1098-1113
    DOI: 10.1016/j.rser.2016.11.222
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    13. Lu, Yunbo & Wang, Lunche & Zhu, Canming & Zou, Ling & Zhang, Ming & Feng, Lan & Cao, Qian, 2023. "Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    14. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).
    15. Bikhtiyar Ameen & Heiko Balzter & Claire Jarvis & James Wheeler, 2019. "Modelling Hourly Global Horizontal Irradiance from Satellite-Derived Datasets and Climate Variables as New Inputs with Artificial Neural Networks," Energies, MDPI, vol. 12(1), pages 1-28, January.
    16. Shouxiang Wang & Pengfei Dong & Yingjie Tian, 2017. "A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost," Energies, MDPI, vol. 10(12), pages 1-17, December.

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