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High-resolution model-based wind atlas for Greece

Author

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  • Kotroni, V.
  • Lagouvardos, K.
  • Lykoudis, S.

Abstract

In the frame of this paper a wind climatology has been built for Greece, based on high resolution model simulations performed for a typical year of wind conditions over the area. The methodology followed includes: (a) the development of a typical wind year, (b) the definition of a modeling strategy and the performance of the appropriate simulations, (c) the verification of the 10-m wind speed simulated by the model against observations, (d) the statistical analysis of the wind simulations for the construction of the wind atlas. The analysis is performed at 50m and includes gridded wind speeds, the parameters of the respective Weibull distributions, and the potential power production. Finally a discussion on the effect of the topography height and slope on the wind distribution and consequently on the wind potential density is provided.

Suggested Citation

  • Kotroni, V. & Lagouvardos, K. & Lykoudis, S., 2014. "High-resolution model-based wind atlas for Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 479-489.
  • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:479-489
    DOI: 10.1016/j.rser.2013.10.016
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    1. Yang, H.X. & Lu, L. & Burnett, J., 2003. "Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong," Renewable Energy, Elsevier, vol. 28(11), pages 1813-1824.
    2. Nicolas Gasset & Mathieu Landry & Yves Gagnon, 2012. "A Comparison of Wind Flow Models for Wind Resource Assessment in Wind Energy Applications," Energies, MDPI, vol. 5(11), pages 1-35, October.
    3. Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2013. "High resolution wind atlas for Nakhon Si Thammarat and Songkhla provinces, Thailand," Renewable Energy, Elsevier, vol. 53(C), pages 101-110.
    4. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
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