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Article

Wind Climate and Wind Power Resource Assessment Based on Gridded Scatterometer Data: A Thracian Sea Case Study

1
Laboratory of Ecological Engineering and Technology, Department of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
2
Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy
3
Department of Planning, Design, and Technology of Architecture, Sapienza University of Rome, 00197 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Adrian Ilinca
Energies 2021, 14(12), 3448; https://doi.org/10.3390/en14123448
Received: 18 May 2021 / Revised: 5 June 2021 / Accepted: 8 June 2021 / Published: 10 June 2021
(This article belongs to the Special Issue GIS and Remote Sensing for Renewable Energy Assessment and Maps)
The present analysis utilized the 6-hourly data of wind speed (zonal and meridional) for the period between 2011 and 2019, as retrieved from the Copernicus Marine Environmental Service (CMEMS), covering the Thracian Sea (the northern part of the Aegean Sea). Data were estimated from the global wind fields derived from the Advanced Scatterometer (ASCAT) L2b scatterometer on-board Meteorological Operational (METOP) satellites, and then processed towards the equivalent neutral-stability 10 m winds with a spatial resolution of 0.25° × 0.25°. The analysis involved: (a) descriptive statistics on wind speed and direction data; (b) frequency distributions of daily-mean wind speeds per wind direction sector; (c) total wind energy content assessment per wind speed increment and per sector; (d) total annual wind energy production (in MWh/yr); and (e) wind power density, probability density function, and Weibull wind speed distribution, together with the relevant dimensionless shape and scale parameters. Our results show that the Lemnos Plateau has the highest total wind energy content (4455 kWh/m2/yr). At the same time, the area to the SW of the Dardanelles exhibits the highest wind energy capacity factor (~37.44%), producing 7546 MWh/yr. This indicates that this zone could harvest wind energy through wind turbines, having an efficiency in energy production of 37%. Lower capacity factors of 24–28% were computed at the nearshore Thracian Sea zone, producing between 3000 and 5600 MWh/yr. View Full-Text
Keywords: marine renewable energy; wind climate; wind power assessment; wind energy capacity factor; scatterometer; Thracian Sea marine renewable energy; wind climate; wind power assessment; wind energy capacity factor; scatterometer; Thracian Sea
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MDPI and ACS Style

Kokkos, N.; Zoidou, M.; Zachopoulos, K.; Nezhad, M.M.; Garcia, D.A.; Sylaios, G. Wind Climate and Wind Power Resource Assessment Based on Gridded Scatterometer Data: A Thracian Sea Case Study. Energies 2021, 14, 3448. https://doi.org/10.3390/en14123448

AMA Style

Kokkos N, Zoidou M, Zachopoulos K, Nezhad MM, Garcia DA, Sylaios G. Wind Climate and Wind Power Resource Assessment Based on Gridded Scatterometer Data: A Thracian Sea Case Study. Energies. 2021; 14(12):3448. https://doi.org/10.3390/en14123448

Chicago/Turabian Style

Kokkos, Nikolaos, Maria Zoidou, Konstantinos Zachopoulos, Meysam M. Nezhad, Davide A. Garcia, and Georgios Sylaios. 2021. "Wind Climate and Wind Power Resource Assessment Based on Gridded Scatterometer Data: A Thracian Sea Case Study" Energies 14, no. 12: 3448. https://doi.org/10.3390/en14123448

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