Wind Resource Assessment over the Hellenic Seas Using Dynamical Downscaling Techniques and Meteorological Station Observations

Georgios V. Kozyrakis (), Constantinos Condaxakis, Antonios Parasyris and Nikolaos A. Kampanis
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Georgios V. Kozyrakis: Coastal & Marine Research Laboratory (CMRL), Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology—Hellas (FORTH), 70013 Heraklion, Crete, Greece
Constantinos Condaxakis: Power Plant Synthesis Laboratory, Hellenic Mediterranean University, Hellas, Estavromenos, 71410 Heraklion, Crete, Greece
Antonios Parasyris: Coastal & Marine Research Laboratory (CMRL), Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology—Hellas (FORTH), 70013 Heraklion, Crete, Greece
Nikolaos A. Kampanis: Coastal & Marine Research Laboratory (CMRL), Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology—Hellas (FORTH), 70013 Heraklion, Crete, Greece

Energies, 2023, vol. 16, issue 16, 1-20

Abstract: The current work focuses on establishing the parameters that influence the wind’s behavior over the Aegean and Ionian Seas and estimating the wind potential in the region based on long-term historic climate data. Combining a downscaling technique performed with the well-founded WRF-ARW computational algorithm and a number of simultaneous meteorological station time series, an attempt is made to investigate how regional changes may affect low-altitude wind speed distribution at hub height (100 m a.s.l.). The provided time-series coastal data span the entire region of interest from north to south. WRF-ARW v.3.9 is utilized to associate the geostrophic wind distribution obtained from long-term Copernicus ERA5 wind data with the localized wind potential over lower altitudes. Evaluation and correlation of the observational data to the predicted wind climate are performed, and the statistical differences that arise are investigated. High-accuracy wind resource potential maps are thus obtained in the region. Also, a few distinctive flow patterns are identified, such as wind speed cut-off regions and very high wind speed distributions, which are presented in specific southern regions of the Aegean Sea.

Keywords: dynamical downscaling; WRF-ARW; wind resource assessment; wind observational data; power density (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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