Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data
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.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Akpinar, Adem | |
| dc.contributor.author | Kömürcü, Murat I.hsan | |
| dc.date.accessioned | 2026-10-22T10:21:02.874459344Z | |
| dc.date.available | 2026-10-22T10:21:02.874459344Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | NATO Science for Stability Program | |
| dc.identifier.doi | 10.1016/j.apenergy.2012.06.005 | |
| dc.identifier.eissn | 1872-9118 | |
| dc.identifier.endpage | 512 | |
| dc.identifier.issn | 0306-2619 | |
| dc.identifier.scopus | 2-s2.0-84869865815 | |
| dc.identifier.startpage | 502 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/13193 | |
| dc.identifier.volume | 101 | |
| dc.identifier.wos | WOS:000312617400056 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Applied Energy | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Black Sea | |
| dc.subject | SWAN wave prediction model | |
| dc.subject | Wave energy resource | |
| dc.subject | Wave power | |
| dc.subject.classification | Energy & Fuels | |
| dc.subject.classification | Engineering, Chemical | |
| dc.subject.classification | Engineering | |
| dc.subject.other | Black Sea | |
| dc.subject.other | Computer simulation | |
| dc.subject.other | Energy resources | |
| dc.subject.other | Mathematical models | |
| dc.subject.other | Water waves | |
| dc.subject.other | Wave power | |
| dc.subject.other | Data sets | |
| dc.subject.other | Hindcasts | |
| dc.subject.other | Near-shore waves | |
| dc.subject.other | Nearshores | |
| dc.subject.other | Numerical wave models | |
| dc.subject.other | Significant wave height | |
| dc.subject.other | Spatial resolution | |
| dc.subject.other | Third generation | |
| dc.subject.other | Time step | |
| dc.subject.other | Wave energy resources | |
| dc.subject.other | Wave parameters | |
| dc.subject.other | Wave prediction models | |
| dc.subject.other | West coast | |
| dc.subject.other | Wind field | |
| dc.subject.other | assessment method | |
| dc.subject.other | data set | |
| dc.subject.other | energy resource | |
| dc.subject.other | nearshore dynamics | |
| dc.subject.other | spatial distribution | |
| dc.subject.other | wave energy | |
| dc.subject.other | wave height | |
| dc.subject.other | wave modeling | |
| dc.subject.other | Wave energy conversion | |
| dc.title | Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 180 | |
| rdl.citation.scopus | 167 | |
| rdl.citation.wos | 155 | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG07 | |
| rdl.sdg | SDG14 | |
| rdl.sdg | SDG13 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |



