Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data

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  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 13 · İklim Eylemi
  • SDG 14 · Sudaki Yaşam

Özet

In this study, the existence and variability of wave energy resource potential of the Black Sea based on 15-year hindcast data is described in detail. The hindcasts of wave parameters were carried out by using the third generation wave prediction model (Simulated WAves Nearshore - SWAN), which is one of the most popular numerical wave models and has been widely used for estimating ocean waves. The model was forced with the ECMWF ERA Interim wind fields and applied with a spatial resolution of about 0.0167°. ×. 0.0167° and a model time step of 6. h to resolve efficiently offshore and nearshore wave conditions. The results were presented in the form of charts of the spatial distribution of significant wave height and wave power, on a monthly, seasonal and annual basis. Annual energy was calculated in the study region with the hindcast data set covering 15. years (1995-2009). The areas with the highest wave energy resource were determined and the south west coasts of the Black Sea are suggested as the best site for the installation of a wave farm. It was determined the western parts of the Black Sea (especially the south-west) are exposed to energetic waves more than the eastern parts.

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Tam Kayıt
AlanDeğerDil
dc.contributor.authorAkpinar, Adem
dc.contributor.authorKömürcü, Murat I.hsan
dc.date.accessioned2026-10-22T10:21:02.874459344Z
dc.date.available2026-10-22T10:21:02.874459344Z
dc.date.issued2013
dc.description.abstractIn this study, the existence and variability of wave energy resource potential of the Black Sea based on 15-year hindcast data is described in detail. The hindcasts of wave parameters were carried out by using the third generation wave prediction model (Simulated WAves Nearshore - SWAN), which is one of the most popular numerical wave models and has been widely used for estimating ocean waves. The model was forced with the ECMWF ERA Interim wind fields and applied with a spatial resolution of about 0.0167°. ×. 0.0167° and a model time step of 6. h to resolve efficiently offshore and nearshore wave conditions. The results were presented in the form of charts of the spatial distribution of significant wave height and wave power, on a monthly, seasonal and annual basis. Annual energy was calculated in the study region with the hindcast data set covering 15. years (1995-2009). The areas with the highest wave energy resource were determined and the south west coasts of the Black Sea are suggested as the best site for the installation of a wave farm. It was determined the western parts of the Black Sea (especially the south-west) are exposed to energetic waves more than the eastern parts.
dc.description.sponsorshipNATO Science for Stability Program
dc.identifier.doi10.1016/j.apenergy.2012.06.005
dc.identifier.eissn1872-9118
dc.identifier.endpage512
dc.identifier.issn0306-2619
dc.identifier.scopus2-s2.0-84869865815
dc.identifier.startpage502
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/13193
dc.identifier.volume101
dc.identifier.wosWOS:000312617400056
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofApplied Energy
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBlack Sea
dc.subjectSWAN wave prediction model
dc.subjectWave energy resource
dc.subjectWave power
dc.subject.classificationEnergy & Fuels
dc.subject.classificationEngineering, Chemical
dc.subject.classificationEngineering
dc.subject.otherBlack Sea
dc.subject.otherComputer simulation
dc.subject.otherEnergy resources
dc.subject.otherMathematical models
dc.subject.otherWater waves
dc.subject.otherWave power
dc.subject.otherData sets
dc.subject.otherHindcasts
dc.subject.otherNear-shore waves
dc.subject.otherNearshores
dc.subject.otherNumerical wave models
dc.subject.otherSignificant wave height
dc.subject.otherSpatial resolution
dc.subject.otherThird generation
dc.subject.otherTime step
dc.subject.otherWave energy resources
dc.subject.otherWave parameters
dc.subject.otherWave prediction models
dc.subject.otherWest coast
dc.subject.otherWind field
dc.subject.otherassessment method
dc.subject.otherdata set
dc.subject.otherenergy resource
dc.subject.othernearshore dynamics
dc.subject.otherspatial distribution
dc.subject.otherwave energy
dc.subject.otherwave height
dc.subject.otherwave modeling
dc.subject.otherWave energy conversion
dc.titleAssessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex180
rdl.citation.scopus167
rdl.citation.wos155
rdl.oa.statusclosed
rdl.sdgSDG07
rdl.sdgSDG14
rdl.sdgSDG13
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)