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Evaluation of WRF shortwave radiation parameterizations in predicting Global Horizontal Irradiance in Greece

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  • Zempila, Melina-Maria
  • Giannaros, Theodore M.
  • Bais, Alkiviadis
  • Melas, Dimitris
  • Kazantzidis, Andreas

Abstract

This study aims at assessing the differences induced in the Global Horizontal Irradiance (GHI) predictions by the mesoscale atmospheric Weather Research and Forecasting (WRF) model when using different shortwave radiation. Model predictions are compared with GHI measurements at 12 stations of the Hellenic Network of Solar Energy (HNSE) for January, April, July and October 2013. The shortwave radiation schemes that were evaluated are: the Dudhia, the updated Rapid Radiative Transfer Model (RRTMG), the updated Goddard and the Goddard Fluid Dynamics Laboratory (GFDL) schemes. All schemes perform better under cloudless conditions due to limited ability of the WRF model to simulate cloudy conditions. The Dudhia scheme performs best with mean relative difference of 2.2 ± 15% for clear-skies, while the differences for the other schemes range between 5 and 12% with similar standard deviations. For all-skies, the model-derived hourly GHI is overestimated for all schemes (∼40–70%).

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  • Zempila, Melina-Maria & Giannaros, Theodore M. & Bais, Alkiviadis & Melas, Dimitris & Kazantzidis, Andreas, 2016. "Evaluation of WRF shortwave radiation parameterizations in predicting Global Horizontal Irradiance in Greece," Renewable Energy, Elsevier, vol. 86(C), pages 831-840.
  • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:831-840
    DOI: 10.1016/j.renene.2015.08.057
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    1. Greening, Benjamin & Azapagic, Adisa, 2014. "Domestic solar thermal water heating: A sustainable option for the UK?," Renewable Energy, Elsevier, vol. 63(C), pages 23-36.
    2. Economou, Agisilaos, 2011. "Photovoltaic systems in school units of Greece and their consequences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 881-885, January.
    3. Sarralde, Juan José & Quinn, David James & Wiesmann, Daniel & Steemers, Koen, 2015. "Solar energy and urban morphology: Scenarios for increasing the renewable energy potential of neighbourhoods in London," Renewable Energy, Elsevier, vol. 73(C), pages 10-17.
    4. Sobhnamayan, F. & Sarhaddi, F. & Alavi, M.A. & Farahat, S. & Yazdanpanahi, J., 2014. "Optimization of a solar photovoltaic thermal (PV/T) water collector based on exergy concept," Renewable Energy, Elsevier, vol. 68(C), pages 356-365.
    5. Fernández-García, A. & Zarza, E. & Valenzuela, L. & Pérez, M., 2010. "Parabolic-trough solar collectors and their applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1695-1721, September.
    6. Salas, V. & Olias, E., 2009. "Overview of the photovoltaic technology status and perspective in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1049-1057, June.
    7. Burnett, Dougal & Barbour, Edward & Harrison, Gareth P., 2014. "The UK solar energy resource and the impact of climate change," Renewable Energy, Elsevier, vol. 71(C), pages 333-343.
    8. Boland, John, 2015. "Spatial-temporal forecasting of solar radiation," Renewable Energy, Elsevier, vol. 75(C), pages 607-616.
    9. Neves, Diana & Silva, Carlos A., 2014. "Modeling the impact of integrating solar thermal systems and heat pumps for domestic hot water in electric systems – The case study of Corvo Island," Renewable Energy, Elsevier, vol. 72(C), pages 113-124.
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    2. Huva, Robert & Verbois, Hadrien & Walsh, Wilfred, 2020. "Comparisons of next-day solar forecasting for Singapore using 3DVAR and 4DVAR data assimilation approaches with the WRF model," Renewable Energy, Elsevier, vol. 147(P1), pages 663-671.
    3. Verbois, Hadrien & Blanc, Philippe & Huva, Robert & Saint-Drenan, Yves-Marie & Rusydi, Andrivo & Thiery, Alexandre, 2020. "Beyond quadratic error: Case-study of a multiple criteria approach to the performance assessment of numerical forecasts of solar irradiance in the tropics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).

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