Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea
Özet
The present study aims to determine priority areas for installation of wave energy converters (WECs) in a semi-enclosed sea using a multi-criteria, spatial, decision-making analysis based on geographical information systems (GIS). The study also suggests a new methodology for determination of suitable areas for WECs taking into consideration different extreme wave conditions, intra-annual variation of wave conditions, and operational range of wave conditions by the WECs. A case study over a distance of 1140 km along the coast in the southwest Black Sea is presented. In the multi-criteria analysis, areas with environmental, economic, technical and social constraints are excluded. Ocean depth, distance to ports, shore, power line, and sub-station, wave climate, and sea-floor geology are all evaluated for their impact on the system implementation and weighted according to their relevance. Thus, the final suitability index (SI) map is produced and spatial statistical significance of the suitable areas is checked using hotspot analysis. Based on this, Kırklareli coastal area and the area between İğneada Cape and Kıyıköy village are determined as primary priority areas. The sustainability parameters with different weights proposed in this study do not differentiate priority areas but affect the SI scores.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Şan, Murat | |
| dc.contributor.author | Akpınar, Adem | |
| dc.contributor.author | Bingölbali, Bilal | |
| dc.contributor.author | Kankal, Murat | |
| dc.date.accessioned | 2026-10-22T10:20:27.975836947Z | |
| dc.date.available | 2026-10-22T10:20:27.975836947Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The present study aims to determine priority areas for installation of wave energy converters (WECs) in a semi-enclosed sea using a multi-criteria, spatial, decision-making analysis based on geographical information systems (GIS). The study also suggests a new methodology for determination of suitable areas for WECs taking into consideration different extreme wave conditions, intra-annual variation of wave conditions, and operational range of wave conditions by the WECs. A case study over a distance of 1140 km along the coast in the southwest Black Sea is presented. In the multi-criteria analysis, areas with environmental, economic, technical and social constraints are excluded. Ocean depth, distance to ports, shore, power line, and sub-station, wave climate, and sea-floor geology are all evaluated for their impact on the system implementation and weighted according to their relevance. Thus, the final suitability index (SI) map is produced and spatial statistical significance of the suitable areas is checked using hotspot analysis. Based on this, Kırklareli coastal area and the area between İğneada Cape and Kıyıköy village are determined as primary priority areas. The sustainability parameters with different weights proposed in this study do not differentiate priority areas but affect the SI scores. | |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK, (214M436) | |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK | |
| dc.identifier.articlenumber | 118997 | |
| dc.identifier.doi | 10.1016/j.energy.2020.118997 | |
| dc.identifier.eissn | 1873-6785 | |
| dc.identifier.issn | 0360-5442 | |
| dc.identifier.scopus | 2-s2.0-85092257037 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/12723 | |
| dc.identifier.volume | 214 | |
| dc.identifier.wos | WOS:000596810200003 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Energy | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Best worst method | |
| dc.subject | Hotspot | |
| dc.subject | Multi-criteria analysis | |
| dc.subject | Site selection | |
| dc.subject | Wave energy | |
| dc.subject | Wave energy converters | |
| dc.subject.classification | Thermodynamics | |
| dc.subject.classification | Energy & Fuels | |
| dc.subject.other | Black Sea | |
| dc.subject.other | Decision making | |
| dc.subject.other | Ocean currents | |
| dc.subject.other | Sustainable development | |
| dc.subject.other | Decision making analysis | |
| dc.subject.other | Multi Criteria Analysis | |
| dc.subject.other | Multi-criteria evaluation | |
| dc.subject.other | Social constraints | |
| dc.subject.other | Statistical significance | |
| dc.subject.other | Suitability index | |
| dc.subject.other | System implementation | |
| dc.subject.other | Wave energy converters | |
| dc.subject.other | energy planning | |
| dc.subject.other | installation | |
| dc.subject.other | multicriteria analysis | |
| dc.subject.other | operations technology | |
| dc.subject.other | semienclosed sea | |
| dc.subject.other | sustainability | |
| dc.subject.other | village | |
| dc.subject.other | wave power | |
| dc.subject.other | Wave energy conversion | |
| dc.title | Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 30 | |
| rdl.citation.scopus | 33 | |
| rdl.citation.wos | 27 | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG07 | |
| rdl.sdg | SDG14 | |
| rdl.sdg | SDG09 | |
| rdl.sdg | SDG13 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |




