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A Computational Methodology for Assessing Wind Potential

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  • Nicholas Christakis

    (Institute for Advanced Modelling and Simulation, University of Nicosia, Nicosia CY-2417, Cyprus
    Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, GR-700 13 Heraklion, Greece
    Laboratory of Applied Mathematics, University of Crete, GR-700 13 Heraklion, Greece)

  • Ioanna Evangelou

    (Department of Meteorology and Geophysics, University of Vienna, AT-1010 Vienna, Austria)

  • Dimitris Drikakis

    (Institute for Advanced Modelling and Simulation, University of Nicosia, Nicosia CY-2417, Cyprus)

  • George Kossioris

    (Laboratory of Applied Mathematics, University of Crete, GR-700 13 Heraklion, Greece)

Abstract

This paper introduces an innovative and eco-friendly computational methodology to assess the wind potential of a location with the aid of high-resolution simulations with a mesoscale numerical weather prediction model (WRF), coupled with the statistical “10% sampling condition”. The proposed methodology is tested for a location with complex terrain on the Greek island of Crete, where moderate to strong winds prevail for most of the year. The results are promising, indicating that this method has great potential for studying and assessing areas of interest. Adverse effects and challenges associated with wind energy production may be mitigated with methods such as the proposed one. Mitigating such effects should constitute the main focus and priority in research concerning wind energy production.

Suggested Citation

  • Nicholas Christakis & Ioanna Evangelou & Dimitris Drikakis & George Kossioris, 2024. "A Computational Methodology for Assessing Wind Potential," Energies, MDPI, vol. 17(6), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1385-:d:1356410
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    References listed on IDEAS

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