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A 30-year projection of the future wind energy resources in the coastal environment of the Black Sea

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  • Rusu, Eugen

Abstract

The objective of the present work is to evaluate the wind energy resources in the coastal environment of the Black Sea by providing a reliable projection for the next 30 years. The wind power is assessed for water depths in the range 25–125 m. The wind speeds considered are those provided by the Rossby Centre regional atmospheric model, version (RCA4) and predicted under the Representative Concentration Pathway (RCP) scenarios 4.5 and 8.5 used in Climate Model Intercomparison Project phase 5 (CMIP5). The time interval is 2021–2050, the wind speeds having a spatial resolution of 0.11°, with 6-h temporal resolution. An analysis of the historical data provided by these climatic wind models performed for the 30-year time interval 1976–2005 shows reliable results in the basin of the Black Sea. This gives a reasonable degree of confidence for the model results corresponding to the 30-year future time window considered, providing at the same time a mean of comparison with the future wind climate Although from the point of view of the wave energy, the Black Sea cannot be considered with high potential, especially when compared to the ocean coasts, as regards the wind power resources the potential of this coastal environment is in line with other coastal areas where such marine wind farms already successfully operate. Finally, it can be concluded that the present work provides a comprehensive and useful picture of the future wind energy resources in the coastal environment of the Black Sea as well as on the changes expected in the wind climate.

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  • Rusu, Eugen, 2019. "A 30-year projection of the future wind energy resources in the coastal environment of the Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 228-234.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:228-234
    DOI: 10.1016/j.renene.2019.02.082
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    3. Kostas Belibassakis & Alexandros Magkouris & Eugen Rusu, 2020. "A BEM for the Hydrodynamic Analysis of Oscillating Water Column Systems in Variable Bathymetry," Energies, MDPI, vol. 13(13), pages 1-24, July.
    4. Gulnar Shaimardanovna Kaliakparova & Y?lena Evgenevna Gridneva & Sara Sarsebekovna Assanova & Sandugash Babagalikyzy Sauranbay & Abdizhapar Djumanovich Saparbayev, 2020. "International Economic Cooperation of Central Asian Countries on Energy Efficiency and Use of Renewable Energy Sources," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 539-545.
    5. Nardecchia, Fabio & Groppi, Daniele & Astiaso Garcia, Davide & Bisegna, Fabio & de Santoli, Livio, 2021. "A new concept for a mini ducted wind turbine system," Renewable Energy, Elsevier, vol. 175(C), pages 610-624.
    6. Aydoğan, Burak & Görmüş, Tahsin & Ayat, Berna & Çarpar, Tunay, 2021. "Analysis of potential changes in the Black Sea wave power for the 21st century," Renewable Energy, Elsevier, vol. 169(C), pages 512-526.
    7. 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.
    8. Rusu, Eugen, 2022. "Assessment of the wind power dynamics in the North Sea under climate change conditions," Renewable Energy, Elsevier, vol. 195(C), pages 466-475.
    9. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
    10. Mumtaz, Hamza & Sobek, Szymon & Sajdak, Marcin & Muzyka, Roksana & Werle, Sebastian, 2023. "An experimental investigation and process optimization of the oxidative liquefaction process as the recycling method of the end-of-life wind turbine blades," Renewable Energy, Elsevier, vol. 211(C), pages 269-278.
    11. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.

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