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The wave and wind power potential in the western Black Sea

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  • Rusu, Liliana

Abstract

The main target of this work is to evaluate the wave and wind power resources in the western part of the Black Sea, paying special attention to the Romanian nearshore. The time window considered goes thirty years in the past (starting in 2016 and until 1987). The wind fields provided by the US National Centres for Environmental Prediction have been considered to evaluate the wind power potential. Further on, considering these wind fields, simulations with a wave modelling system have been performed in order to obtain the main wave parameters. By analyzing the wind and wave data for the 30-year period considered, the general patterns of the wind and wave energy have been established. Furthermore, some areas near the Romanian and Ukrainian coasts with high wind power potential have been identified. Also, the synergy between the wind and wave power has been evaluated in ten reference points. Thus, it was identified that along the Romanian coast and continuing to the north close to the coastal area of Ukraine (up to Odessa), there are suitable areas for combined wind-wave exploitation. However, no significant trends were found as regards the wind and wave power.

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  • Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:1146-1158
    DOI: 10.1016/j.renene.2019.03.017
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    Cited by:

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    5. Delpey, Matthias & Lastiri, Ximun & Abadie, Stéphane & Roeber, Volker & Maron, Philippe & Liria, Pedro & Mader, Julien, 2021. "Characterization of the wave resource variability in the French Basque coastal area based on a high-resolution hindcast," Renewable Energy, Elsevier, vol. 178(C), pages 79-95.
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    8. Shabnam Hosseinzadeh & Amir Etemad-Shahidi & Rodney A. Stewart, 2023. "Site Selection of Combined Offshore Wind and Wave Energy Farms: A Systematic Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
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    11. Majidi Nezhad, M. & Heydari, A. & Groppi, D. & Cumo, F. & Astiaso Garcia, D., 2020. "Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands," Renewable Energy, Elsevier, vol. 155(C), pages 212-224.
    12. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    13. Ferrari, Francesco & Besio, Giovanni & Cassola, Federico & Mazzino, Andrea, 2020. "Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea," Energy, Elsevier, vol. 190(C).
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    15. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.

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