Publication:
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.departmentMühendislik Fakültesi
dc.contributor.departmentİnşaat Mühendisliği
dc.contributor.orcid0000-0002-9042-6851
dc.contributor.orcid0000-0003-4496-5974
dc.contributor.researcheridAAB-4152-2020
dc.contributor.researcheridFAC-5753-2022
dc.contributor.researcheridAAC-6763-2019
dc.contributor.scopusid57189584264
dc.contributor.scopusid57205266652
dc.contributor.scopusid23026855400
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.
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.
dc.identifier.doihttps://doi.org/10.1016/j.renene.2020.03.014
dc.identifier.endpage150
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.scopus2-s2.0-85081304905
dc.identifier.startpage136
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0960148120303281
dc.identifier.urihttps://hdl.handle.net/11452/39916
dc.identifier.volume154
dc.identifier.wos000536955000013
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherPergamon-Elsevier Science
dc.relation.collaborationYurt içi
dc.relation.journalRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.relation.tubitak214M436
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectScience & technology - other topics
dc.subjectEnergy & fuels
dc.subjectWave energy
dc.subjectPotential
dc.subjectVariability
dc.subjectHotspots
dc.subjectSouthwestern black sea
dc.subjectResource assessment
dc.subjectHigh-resolution
dc.subjectWind
dc.subjectGulf
dc.subjectAssessments
dc.subjectOman
dc.subjectBlack Sea
dc.subjectIzmir [Turkey]
dc.subjectKaraburun
dc.subjectSinop [Turkey]
dc.subjectTurkey
dc.subjectRosa
dc.subjectClimate models
dc.subjectDigital storage
dc.subjectWave power
dc.subjectBlack sea
dc.subjectHotspots
dc.subjectPotential
dc.subjectVariability
dc.subjectWave energy
dc.subjectConcentration (composition)
dc.subjectEnergy resource
dc.subjectExploitation
dc.subjectShallow water
dc.subjectSignificant wave height
dc.subjectSpatial variation
dc.subjectWave energy
dc.subjectWave height
dc.subjectWind wave
dc.subjectWave energy conversion
dc.subject.scopusWave Energy; Wind Power; Data Buoy
dc.subject.wosGreen & sustainable science & technology
dc.subject.wosEnergy & fuels
dc.titleWave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/İnşaat Mühendisliği
local.indexed.atScopus
local.indexed.atWOS

Files

License bundle

Now showing 1 - 1 of 1
Placeholder
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: