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Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Author

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  • Florin Onea

    (Department of Mechanical Engineering, Faculty of Engineering, Dunarea de Jos University of Galati, 47 Domneasca Street, 800008 Galati, Romania)

  • Liliana Rusu

    (Department of Mechanical Engineering, Faculty of Engineering, Dunarea de Jos University of Galati, 47 Domneasca Street, 800008 Galati, Romania)

Abstract

The main objective of this work was to evaluate the nearshore wind resources in the Black Sea area by using a high resolution wind database (ERA-Interim). A subsequent objective was to estimate what type of wind turbines and wind farm configurations would be more suitable for this coastal environment. A more comprehensive picture of these resources was provided by including some satellite measurements, which were also used to assess the wind conditions in the vicinity of some already operating European wind projects. Based on the results of the present work, it seems that the Crimea Peninsula has the best wind resources. However, considering the current geopolitical situation, it seems that the sites on the western part of this basin (Romania and Bulgaria) would represent more viable locations for developing offshore wind projects. Since there are currently no operational wind projects in this marine area, some possible configurations for the future wind farms are proposed.

Suggested Citation

  • Florin Onea & Liliana Rusu, 2018. "Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea," Energies, MDPI, vol. 11(9), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2452-:d:170080
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    Cited by:

    1. Rusu, Eugen & Onea, Florin, 2019. "A parallel evaluation of the wind and wave energy resources along the Latin American and European coastal environments," Renewable Energy, Elsevier, vol. 143(C), pages 1594-1607.
    2. Ophelie Choupin & Michael Henriksen & Amir Etemad-Shahidi & Rodger Tomlinson, 2021. "Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods," Energies, MDPI, vol. 14(4), pages 1-27, February.
    3. Choupin, O. & Pinheiro Andutta, F. & Etemad-Shahidi, A. & Tomlinson, R., 2021. "A decision-making process for wave energy converter and location pairing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    4. Florin Onea & Andrés Ruiz & Eugen Rusu, 2020. "An Evaluation of the Wind Energy Resources along the Spanish Continental Nearshore," Energies, MDPI, vol. 13(15), pages 1-23, August.
    5. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    6. Rasool, Safdar & Muttaqi, Kashem M. & Sutanto, Danny & Hemer, Mark, 2022. "Quantifying the reduction in power variability of co-located offshore wind-wave farms," Renewable Energy, Elsevier, vol. 185(C), pages 1018-1033.
    7. Florin Onea & Eugen Rusu, 2019. "An Assessment of Wind Energy Potential in the Caspian Sea," Energies, MDPI, vol. 12(13), pages 1-18, July.
    8. Nezhad, M. Majidi & Neshat, M. & Groppi, D. & Marzialetti, P. & Heydari, A. & Sylaios, G. & Garcia, D. Astiaso, 2021. "A primary offshore wind farm site assessment using reanalysis data: a case study for Samothraki island," Renewable Energy, Elsevier, vol. 172(C), pages 667-679.
    9. 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.
    10. Olaofe, Z.O., 2019. "Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)," Energy, Elsevier, vol. 189(C).
    11. 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.
    12. Eugen Rusu & Vengatesan Venugopal, 2019. "Special Issue “Offshore Renewable Energy: Ocean Waves, Tides and Offshore Wind”," Energies, MDPI, vol. 12(1), pages 1-4, January.
    13. Jianzhou Wang & Chunying Wu & Tong Niu, 2019. "A Novel System for Wind Speed Forecasting Based on Multi-Objective Optimization and Echo State Network," Sustainability, MDPI, vol. 11(2), pages 1-34, January.

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