Publication:
Long-term analysis of wave power potential in the Black Sea, based on 31-year SWAN simulations

dc.contributor.authorVan Vledder, Gerbrant Ph.
dc.contributor.buuauthorAkpınar, Adem
dc.contributor.buuauthorBingölbali, Bilal
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentİnşaat Mühendisliği Bölümü
dc.contributor.orcid0000-0002-9042-6851
dc.contributor.orcid0000-0003-4496-5974
dc.contributor.researcheridABE-8817-2020
dc.contributor.researcheridAAC-6763-2019
dc.contributor.researcheridAAB-4152-2020
dc.contributor.scopusid23026855400
dc.contributor.scopusid57189584264
dc.date.accessioned2022-10-13T11:30:22Z
dc.date.available2022-10-13T11:30:22Z
dc.date.issued2016-12-19
dc.description.abstractThis study analyzes the wave energy potential in the Black Sea based on long-term model simulations. A dataset covering the period of 1979-2009 is produced using a calibrated numerical wave prediction model (SWAN). This dataset was analyzed in detail to determine the wave energy potential to enable a reliable and optimal design of wave energy conversion devices in the Black Sea. This analysis provides information on the long-term variability as well as on the annual, seasonal and monthly averages. The analysis of the hindcast results is conducted on a spatial and a location scale. The spatial analysis provides information for the entire Black Sea on; the averaged mean wave energy flux over the period 1979-2009, and the decades 1980-1989, 1990-1999, and 2000-2009, seasonal and monthly averages of wave energy flux during 31 years, variability indices for the 1979-2009 period, and variabilities on monthly and seasonality basis based on inter-annual averages during 31 years. The location scale considered nine locations providing information on; wave power roses, probabilities of occurrence and cumulative distribution functions of wave power in different power ranges, variation and trend of yearly average wave power, seasonal average wave power and its annual variations, and quantities of wave energy flux for different H-m0 and Tm-10 ranges. Results show that areas with the highest wave energy potential are located in the south-western part of the Black Sea. These areas are; Burgas - Rezovo (BR) with an average annual total energy of 43.9 MW h/m followed by Dolni Chiflik - Shkorpilovtsi (DCS) with 37.3 MW h/m and Istanbul - Alacali (IA) with 36.1 MW h/m.
dc.identifier.citationAkpınar, A. vd. (2017). ''Long-term analysis of wave power potential in the Black Sea, based on 31-year SWAN simulations''. Ocean Engineering, 130, 482-497.
dc.identifier.endpage497
dc.identifier.issn0029-8018
dc.identifier.scopus2-s2.0-85007137543
dc.identifier.startpage482
dc.identifier.urihttps://doi.org/10.1016/j.oceaneng.2016.12.023
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0029801816306096
dc.identifier.urihttp://hdl.handle.net/11452/29085
dc.identifier.volume130
dc.identifier.wos000393000700040
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherElsevier
dc.relation.collaborationYurt dışı
dc.relation.collaborationSanayi
dc.relation.journalOcean Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.relation.tubitak214M436
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectOceanography
dc.subjectBlack Sea
dc.subjectResource variability
dc.subjectSpatial distribution
dc.subjectSWAN model
dc.subjectWave power assessment
dc.subjectEnergy resource assessment
dc.subjectCoastal regions
dc.subjectModel
dc.subjectWind
dc.subjectSensitivity
dc.subjectHindcast
dc.subjectAtlas
dc.subjectBlack Sea
dc.subjectRosa
dc.subjectDistribution functions
dc.subjectEnergy conversion
dc.subjectLocation
dc.subjectProbability distributions
dc.subjectSpatial distribution
dc.subjectWave power
dc.subjectBlack sea
dc.subjectCumulative distribution function
dc.subjectLong term analysis
dc.subjectLong-term variability
dc.subjectResource variability
dc.subjectSWAN model
dc.subjectWave energy potential
dc.subjectWave prediction models
dc.subjectEnergy resource
dc.subjectNumerical model
dc.subjectSpatial distribution
dc.subjectWave energy
dc.subjectWave power
dc.subjectWave energy conversion
dc.subject.scopusWave Energy; Wind Power; Data Buoy
dc.subject.wosEngineering, marine
dc.subject.wosEngineering, civil
dc.subject.wosEngineering, ocean
dc.subject.wosOceanography
dc.titleLong-term analysis of wave power potential in the Black Sea, based on 31-year SWAN simulations
dc.typeArticle
dc.wos.quartileQ2
dc.wos.quartileQ1
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/İnşaat Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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