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

dc.contributor.authorBekiroğlu, Serkan
dc.contributor.buuauthorBilal, Bingölbali
dc.contributor.buuauthorJafali, Halid
dc.contributor.buuauthorAkpınar, Adem
dc.contributor.departmentBursa Uludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği.tr_TR
dc.contributor.orcid0000-0002-9042-6851tr_TR
dc.contributor.orcid0000-0003-4496-5974tr_TR
dc.contributor.researcheridAAB-4152-2020
dc.contributor.researcheridFAC-5753-2022
dc.contributor.researcheridAAC-6763-2019
dc.contributor.scopusid57189584264tr_TR
dc.contributor.scopusid57205266652tr_TR
dc.contributor.scopusid23026855400tr_TR
dc.date.accessioned2024-02-22T12:59:36Z
dc.date.available2024-02-22T12:59:36Z
dc.date.issued2020-06-16
dc.description.abstractThis 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.en_US
dc.identifier.citationBingölbali, B. vd. (2020). "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas". Renewable Energy, 154, 136-150. en_US
dc.identifier.doihttps://doi.org/10.1016/j.renene.2020.03.014
dc.identifier.endpage150tr_TR
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.scopus2-s2.0-85081304905tr_TR
dc.identifier.startpage136tr_TR
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0960148120303281
dc.identifier.urihttps://hdl.handle.net/11452/39916
dc.identifier.volume154tr_TR
dc.identifier.wos000536955000013tr_TR
dc.indexed.scopusScopus en_US
dc.indexed.wosSCIE en_US
dc.language.isoen en_US
dc.publisherPergamon-Elsevier Science en_US
dc.relation.collaborationYurt içitr_TR
dc.relation.journalRenewable Energy en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.relation.tubitak214M436tr_TR
dc.rightsinfo:eu-repo/semantics/closedAccess en_US
dc.subjectScience & technology - other topics en_US
dc.subjectEnergy & fuels en_US
dc.subjectWave energy en_US
dc.subjectPotential en_US
dc.subjectVariability en_US
dc.subjectHotspots en_US
dc.subjectSouthwestern black sea en_US
dc.subjectResource assessment en_US
dc.subjectHigh-resolution en_US
dc.subjectWind en_US
dc.subjectGulf en_US
dc.subjectAssessments en_US
dc.subjectOman en_US
dc.subjectBlack Sea en_US
dc.subjectIzmir [Turkey] en_US
dc.subjectKaraburun en_US
dc.subjectSinop [Turkey] en_US
dc.subjectTurkey en_US
dc.subjectRosa en_US
dc.subjectClimate models en_US
dc.subjectDigital storage en_US
dc.subjectWave power en_US
dc.subjectBlack sea en_US
dc.subjectHotspots en_US
dc.subjectPotential en_US
dc.subjectVariability en_US
dc.subjectWave energy en_US
dc.subjectConcentration (composition) en_US
dc.subjectEnergy resource en_US
dc.subjectExploitation en_US
dc.subjectShallow water en_US
dc.subjectSignificant wave heighten_US
dc.subjectSpatial variationen_US
dc.subjectWave energyen_US
dc.subjectWave heighten_US
dc.subjectWind waveen_US
dc.subjectWave energy conversionen_US
dc.subject.scopusWave Energy; Wind Power; Data Buoyen_US
dc.subject.wosGreen & sustainable science & technologyen_US
dc.subject.wosEnergy & fuelsen_US
dc.titleWave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlasen_US
dc.typeArticleen_US

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