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Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas

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  • Bingölbali, Bilal
  • Jafali, Halid
  • Akpınar, Adem
  • Bekiroğlu, Serkan

Abstract

This study aims at the assessment of wave energy potential and its spatial and temporal variability along the south-west coasts in the hot-spot areas of Black Sea. For this purpose, third-generation numerical wave hindcast model Simulating WAve Nearshore (SWAN), which is based on a set of nested SWAN model with increasing spatial resolutions (a coarse grid, then a fine grid, and then three sub-grids), forced with the Climate Forecast System Reanalysis (CFSR) winds is used to produce long term wave characteristics during the 31 years in the areas of interest. For the south-west coasts of the Black Sea the best nested SWAN model configuration, developed in our previous studies [1,2], with tuned coefficients for all of the deep and shallow water source terms in modelling of the wind-generated waves is run to obtain spatial and temporal outputs of several wind wave parameters for the assessment of wave energy potential and its variability. By using this data set, temporal and spatial variability of wave energy potential along the south western Black Sea is analysed in detail, considering annual, seasonal, and monthly spatial variation maps of wave power for each of the sub-grids. In addition, annual, seasonal, and monthly wave power potential variability, the exceedance probability curves, the value of wave energy resource potential, and wave power roses are established for several locations. The value of energy density, spatial variation of the stability of energy density (the coefficient of variation, monthly variability index, seasonal variability index, and persistency analysis), spatial variation of total storage and exploitable storage of wave energy resource are also analysed. Finally, it was determined that in the regions (Karaburun SD3 sub-grid domain) where the average wave energy flux is high, the wave energy flux has a high coefficient of variation, and thus the regions (Filyos SD2 sub-grid domain) having lower wave energy flux have a stable wave energy flux which is ideal for energy exploitation from waves. Annual average wave energy in the southwestern part of the Black Sea is concentrated at 0.2–1.5 m significant wave height range, and also the concentration is between 2 and 5 s in Karaburun SD3, 3–7 s in Filyos SD2 and 2.5–6.5 s in Sinop SD1 sub-grid domains in terms of the wave energy period.

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  • Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    • Handle: RePEc:eee:renene:v:154:y:2020:i:c:p:136-150
    DOI: 10.1016/j.renene.2020.03.014
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    as
    1. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    2. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    3. Aydoğan, Burak & Ayat, Berna & Yüksel, Yalçın, 2013. "Black Sea wave energy atlas from 13 years hindcasted wave data," Renewable Energy, Elsevier, vol. 57(C), pages 436-447.
    4. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    5. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    6. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    7. Zhou, Guoqing & Huang, Jingjin & Yue, Tao & Luo, Qingli & Zhang, Guangyun, 2015. "Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China," Renewable Energy, Elsevier, vol. 74(C), pages 344-356.
    8. 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.
    9. Abbaspour, M. & Rahimi, R., 2011. "Iran atlas of offshore renewable energies," Renewable Energy, Elsevier, vol. 36(1), pages 388-398.
    10. Monteforte, M. & Lo Re, C. & Ferreri, G.B., 2015. "Wave energy assessment in Sicily (Italy)," Renewable Energy, Elsevier, vol. 78(C), pages 276-287.
    11. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2015. "Wave energy potential assessment in the central and southern regions of the South China Sea," Renewable Energy, Elsevier, vol. 80(C), pages 454-470.
    12. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    13. Hughes, Michael G. & Heap, Andrew D., 2010. "National-scale wave energy resource assessment for Australia," Renewable Energy, Elsevier, vol. 35(8), pages 1783-1791.
    14. Kamranzad, Bahareh & Chegini, Vahid & Etemad-Shahidi, Amir, 2016. "Temporal-spatial variation of wave energy and nearshore hotspots in the Gulf of Oman based on locally generated wind waves," Renewable Energy, Elsevier, vol. 94(C), pages 341-352.
    15. Ponce de León, S. & Orfila, A. & Simarro, G., 2016. "Wave energy in the Balearic Sea. Evolution from a 29 year spectral wave hindcast," Renewable Energy, Elsevier, vol. 85(C), pages 1192-1200.
    16. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    17. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    18. Stopa, Justin E. & Filipot, Jean-François & Li, Ning & Cheung, Kwok Fai & Chen, Yi-Leng & Vega, Luis, 2013. "Wave energy resources along the Hawaiian Island chain," Renewable Energy, Elsevier, vol. 55(C), pages 305-321.
    19. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
    20. Mediavilla, D.G. & Sepúlveda, H.H., 2016. "Nearshore assessment of wave energy resources in central Chile (2009–2010)," Renewable Energy, Elsevier, vol. 90(C), pages 136-144.
    21. Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
    22. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
    23. Saket, A. & Etemad-Shahidi, A., 2012. "Wave energy potential along the northern coasts of the Gulf of Oman, Iran," Renewable Energy, Elsevier, vol. 40(1), pages 90-97.
    24. Henfridsson, Urban & Neimane, Viktoria & Strand, Kerstin & Kapper, Robert & Bernhoff, Hans & Danielsson, Oskar & Leijon, Mats & Sundberg, Jan & Thorburn, Karin & Ericsson, Ellerth & Bergman, Karl, 2007. "Wave energy potential in the Baltic Sea and the Danish part of the North Sea, with reflections on the Skagerrak," Renewable Energy, Elsevier, vol. 32(12), pages 2069-2084.
    25. Sierra, J.P. & González-Marco, D. & Sospedra, J. & Gironella, X. & Mösso, C. & Sánchez-Arcilla, A., 2013. "Wave energy resource assessment in Lanzarote (Spain)," Renewable Energy, Elsevier, vol. 55(C), pages 480-489.
    26. Ayat, Berna, 2013. "Wave power atlas of Eastern Mediterranean and Aegean Seas," Energy, Elsevier, vol. 54(C), pages 251-262.
    27. Hadadpour, Sanaz & Etemad-Shahidi, Amir & Jabbari, Ebrahim & Kamranzad, Bahareh, 2014. "Wave energy and hot spots in Anzali port," Energy, Elsevier, vol. 74(C), pages 529-536.
    28. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
    29. Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
    30. Wang, Zhifeng & Dong, Sheng & Li, Xue & Guedes Soares, C., 2016. "Assessments of wave energy in the Bohai Sea, China," Renewable Energy, Elsevier, vol. 90(C), pages 145-156.
    31. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    32. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    33. Emmanouil, George & Galanis, George & Kalogeri, Christina & Zodiatis, George & Kallos, George, 2016. "10-year high resolution study of wind, sea waves and wave energy assessment in the Greek offshore areas," Renewable Energy, Elsevier, vol. 90(C), pages 399-419.
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    2. Youjun Sun & Huajun Zhang & Shulin Hu & Jun Shi & Jianning Geng & Yixin Su, 2023. "ConvGRU-RMWP: A Regional Multi-Step Model for Wave Height Prediction," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    3. 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).
    4. Kamranzad, Bahareh & Lin, Pengzhi & Iglesias, Gregorio, 2021. "Combining methodologies on the impact of inter and intra-annual variation of wave energy on selection of suitable location and technology," Renewable Energy, Elsevier, vol. 172(C), pages 697-713.
    5. 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.
    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. Kamranzad, Bahareh & Lin, Pengzhi, 2020. "Sustainability of wave energy resources in the South China Sea based on five decades of changing climate," Energy, Elsevier, vol. 210(C).

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