Enhancing Wind Turbine Site Selection Through a Novel Wake Penalty Criterion

dc.contributor.author Dincer, A. . Ersin
dc.contributor.author Demir, A.
dc.contributor.author Yilmaz, K.
dc.date.accessioned 2025-09-25T10:46:31Z
dc.date.available 2025-09-25T10:46:31Z
dc.date.issued 2023
dc.description Dincer, Ali Ersin/0000-0002-4662-894X; Yilmaz, Kutay/0000-0001-5529-9239; en_US
dc.description.abstract In this study, a novel approach that incorporates the wake effect as a penalty criterion within the Analytical Hierarchy Process (AHP) method is proposed. The research introduces the wake penalty criterion for the first time, considering both existing and newly located turbines. The results demonstrate the impact of the wake effect and identify areas with varying wake penalties. A comprehensive suitability analysis is conducted using AHP and Geographic Information System (GIS) techniques, resulting in a suitability map for wind turbine site selection. The analysis considers seven criteria, including the novel wake penalty criterion. The suitability map reveals a distribution of suitability ranges, with 73.8% of the total area excluded due to various constraints. Additionally, a comparative analysis is performed by excluding the wake penalty criterion, highlighting the contrasting effects of wake on turbine placement. Case studies in the Karaburun and ces,me regions of Izmir further illustrate the influence of wake on turbine clusters and their alignment with prevailing wind directions. The findings indicate that the inclusion of wake effects provides a more precise and realistic depiction of viable wind turbine site selection. This is evident in the reduction of 55.5% and 18.6% in the most suitable region (80-100% suitability) and highly suitable region (60-80% suitability), respectively. en_US
dc.identifier.doi 10.1016/j.energy.2023.129096
dc.identifier.issn 0360-5442
dc.identifier.issn 1873-6785
dc.identifier.scopus 2-s2.0-85172894260
dc.identifier.uri https://doi.org/10.1016/j.energy.2023.129096
dc.identifier.uri https://hdl.handle.net/20.500.12573/3776
dc.language.iso en en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.relation.ispartof Energy en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Wind Power en_US
dc.subject Analytical Hierarchy Process (AHP) en_US
dc.subject Site Selection en_US
dc.subject Wake Effect en_US
dc.subject Suitability Analysis en_US
dc.subject Geographic Information System (GIS) en_US
dc.title Enhancing Wind Turbine Site Selection Through a Novel Wake Penalty Criterion en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Dincer, Ali Ersin/0000-0002-4662-894X
gdc.author.id Yilmaz, Kutay/0000-0001-5529-9239
gdc.author.scopusid 56825490100
gdc.author.scopusid 57208242277
gdc.author.scopusid 57924840400
gdc.author.wosid Demir, Abdullah/Ixx-2300-2023
gdc.author.wosid Dinçer, Ersin/Gsi-8485-2022
gdc.author.wosid Yilmaz, Kutay/Jpk-6886-2023
gdc.bip.impulseclass C4
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gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Dincer, A. . Ersin] Abdullah Gul Univ, Dep Civil Engn, Hydraul Lab, TR-38080 Kayseri, Turkiye; [Demir, A.] Abdullah Gul Univ, Struct Lab, Dep Civil Engn, TR-38080 Kayseri, Turkiye; [Yilmaz, K.] Vortechs Engn & Consultancy, Ankara, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 129096
gdc.description.volume 283 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W4386860673
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gdc.opencitations.count 12
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 25
gdc.plumx.scopuscites 17
gdc.scopus.citedcount 17
gdc.virtual.author Dinçer, Ali Ersin
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