IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i9p10370-10388d56107.html
   My bibliography  Save this article

Assessment of the Wave Energy in the Black Sea Based on a 15-Year Hindcast with Data Assimilation

Author

Listed:
  • Liliana Rusu

    (Department of Mechanical Engineering, “Dunarea de Jos” University of Galati, 47 Domneasca Street, Galati 800201, Romania)

Abstract

The principal target of the present work is to assess the wave energy potential in the Black Sea, identifying also some relevant energetic features and possible patterns. A wave prediction system based on the Simulating Waves Nearshore model (SWAN) has been implemented and intensively tested in the entire sea basin. Moreover, considering an optimal interpolation technique, an assimilation scheme of the satellite data has been developed, leading to a visible improvement of the wave model predictions in terms of significant wave heights and, consequently, also in terms of wave power. Using this wave prediction system with data assimilation, simulations have been performed for a 15-year period (1999–2013). Considering the results of this 15-year wave hindcast, an analysis of the wave energy conditions in the basin of the Black Sea has been carried out. This provided a more comprehensive picture concerning the wave energy patterns in the coastal environment of the Black Sea focused on the average wave conditions that might be expected in this sea. Following the results presented, it can be concluded that the wave energy extraction in the Black Sea can become an issue of interest, especially from the perspective of the hybrid solutions.

Suggested Citation

  • Liliana Rusu, 2015. "Assessment of the Wave Energy in the Black Sea Based on a 15-Year Hindcast with Data Assimilation," Energies, MDPI, vol. 8(9), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:10370-10388:d:56107
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/9/10370/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/9/10370/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    2. Rusu, Liliana & Onea, Florin, 2015. "Assessment of the performances of various wave energy converters along the European continental coasts," Energy, Elsevier, vol. 82(C), pages 889-904.
    3. Vicinanza, D. & Contestabile, P. & Ferrante, V., 2013. "Wave energy potential in the north-west of Sardinia (Italy)," Renewable Energy, Elsevier, vol. 50(C), pages 506-521.
    4. Tănase Zanopol, Andrei & Onea, Florin & Rusu, Eugen, 2014. "Coastal impact assessment of a generic wave farm operating in the Romanian nearshore," Energy, Elsevier, vol. 72(C), pages 652-670.
    5. Eugen Rusu, 2014. "Evaluation of the Wave Energy Conversion Efficiency in Various Coastal Environments," Energies, MDPI, vol. 7(6), pages 1-17, June.
    6. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    2. Felice Arena & Valentina Laface & Giovanni Malara & Alessandra Romolo, 2015. "Estimation of Downtime and of Missed Energy Associated with a Wave Energy Converter by the Equivalent Power Storm Model," Energies, MDPI, vol. 8(10), pages 1-17, October.
    3. Florin Onea & Eugen Rusu, 2018. "Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    4. Anton Catalin & Carmen Gasparotti & Alina Raileanu & Carmen Gasparotti & Rusu Eugen, 2017. "Towards an Integrated Management and Planning in the Romanian Black Sea Coastal Zones," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(5), pages 59-71, OCTOBER.
    5. Wanan Sheng & Hui Li & Jimmy Murphy, 2017. "An Improved Method for Energy and Resource Assessment of Waves in Finite Water Depths," Energies, MDPI, vol. 10(8), pages 1-17, August.
    6. Aboobacker, V.M. & Shanas, P.R. & Alsaafani, M.A. & Albarakati, Alaa M.A., 2017. "Wave energy resource assessment for Red Sea," Renewable Energy, Elsevier, vol. 114(PA), pages 46-58.
    7. Yana Saprykina & Sergey Kuznetsov, 2018. "Analysis of the Variability of Wave Energy Due to Climate Changes on the Example of the Black Sea," Energies, MDPI, vol. 11(8), pages 1-15, August.
    8. 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.
    9. Antonio Manuel Gómez-Orellana & Juan Carlos Fernández & Manuel Dorado-Moreno & Pedro Antonio Gutiérrez & César Hervás-Martínez, 2021. "Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux," Energies, MDPI, vol. 14(2), pages 1-33, January.
    10. Malik, Abdul Q., 2021. "Renewables for Fiji – Path for green power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    11. Adem Akpınar & Halid Jafali & Eugen Rusu, 2019. "Temporal Variation of the Wave Energy Flux in Hotspot Areas of the Black Sea," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    12. Şan, Murat & Akpınar, Adem & Bingölbali, Bilal & Kankal, Murat, 2021. "Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea," Energy, Elsevier, vol. 214(C).
    13. Rusu, Liliana & Onea, Florin, 2017. "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1348-1362.
    14. Bingölbali, Bilal & Majidi, Ajab Gul & Akpınar, Adem, 2021. "Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast," Renewable Energy, Elsevier, vol. 169(C), pages 809-819.
    15. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    16. Daniel Ganea & Elena Mereuta & Liliana Rusu, 2018. "Estimation of the Near Future Wind Power Potential in the Black Sea," Energies, MDPI, vol. 11(11), pages 1-21, November.
    17. Florin Onea & Liliana Rusu, 2017. "A Long-Term Assessment of the Black Sea Wave Climate," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    18. 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.
    19. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    20. Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    21. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    2. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    3. Daniel Ganea & Valentin Amortila & Elena Mereuta & Eugen Rusu, 2017. "A Joint Evaluation of the Wind and Wave Energy Resources Close to the Greek Islands," Sustainability, MDPI, vol. 9(6), pages 1-22, June.
    4. 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.
    5. Majidi, Ajab Gul & Bingölbali, Bilal & Akpınar, Adem & Rusu, Eugen, 2021. "Wave power performance of wave energy converters at high-energy areas of a semi-enclosed sea," Energy, Elsevier, vol. 220(C).
    6. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    7. Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    8. 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.
    9. Carlo Lo Re & Giorgio Manno & Giuseppe Ciraolo & Giovanni Besio, 2019. "Wave Energy Assessment around the Aegadian Islands (Sicily)," Energies, MDPI, vol. 12(3), pages 1-20, January.
    10. Rusu, Liliana & Onea, Florin, 2017. "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1348-1362.
    11. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    12. Yong Wan & Chenqing Fan & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Xiaojun Qu, 2018. "Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea," Energies, MDPI, vol. 11(2), pages 1-26, February.
    13. Guillou, Nicolas & Chapalain, Georges, 2018. "Annual and seasonal variabilities in the performances of wave energy converters," Energy, Elsevier, vol. 165(PB), pages 812-823.
    14. Majidi, AjabGul & Bingölbali, Bilal & Akpınar, Adem & Iglesias, Gregorio & Jafali, Halid, 2021. "Downscaling wave energy converters for optimum performance in low-energy seas," Renewable Energy, Elsevier, vol. 168(C), pages 705-722.
    15. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    16. Sierra, J.P. & Casas-Prat, M. & Campins, E., 2017. "Impact of climate change on wave energy resource: The case of Menorca (Spain)," Renewable Energy, Elsevier, vol. 101(C), pages 275-285.
    17. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    18. Carpintero Moreno, Efrain & Stansby, Peter, 2019. "The 6-float wave energy converter M4: Ocean basin tests giving capture width, response and energy yield for several sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 307-318.
    19. George Lavidas & Francesco De Leo & Giovanni Besio, 2020. "Blue Growth Development in the Mediterranean Sea: Quantifying the Benefits of an Integrated Wave Energy Converter at Genoa Harbour," Energies, MDPI, vol. 13(16), pages 1-14, August.
    20. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:10370-10388:d:56107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.