Multi-Objective Turbine Allocation on a Wind Farm Site

dc.contributor.author Dincer, A. E.
dc.contributor.author Demir, A.
dc.contributor.author Yilmaz, K.
dc.date.accessioned 2025-09-25T10:51:12Z
dc.date.available 2025-09-25T10:51:12Z
dc.date.issued 2024
dc.description Dincer, Ali Ersin/0000-0002-4662-894X; Yilmaz, Kutay/0000-0001-5529-9239; en_US
dc.description.abstract The Multi-Objective Turbine Allocation (MOTA) method is introduced as a novel approach for wind farm layout optimization and site selection. By incorporating Geographic Information System (GIS) tools and the Analytical Hierarchy Process (AHP), the MOTA method offers a comprehensive solution to balance energy production, cost factors, and environmental impacts. In this study, the MOTA method is applied to Go center dot kceada, Turkiye, for wind farm development. Results show that the MOTA method effectively proposes the optimum wind farm layout by selecting the best site for each turbine. The sequential turbine allocation approach, integration of multiple objectives, and use of GIS tools and AHP are the key capabilities and novelties of the MOTA method. The method allows for flexible investment decisions, considering technical and economic aspects. The outcomes from the Go center dot kceada case study highlight the effectiveness of the MOTA method in maximizing energy production while considering cost factors and environmental impacts. The results indicate that for the selected objective functions, the optimal net profit is attained with the installation of 155 turbines on Go center dot kceada. The MOTA method presents a practical and efficient solution for wind farm development, contributing to sustainable and efficient renewable energy generation. en_US
dc.identifier.doi 10.1016/j.apenergy.2023.122346
dc.identifier.issn 0306-2619
dc.identifier.issn 1872-9118
dc.identifier.scopus 2-s2.0-85182629416
dc.identifier.uri https://doi.org/10.1016/j.apenergy.2023.122346
dc.identifier.uri https://hdl.handle.net/20.500.12573/4243
dc.language.iso en en_US
dc.publisher Elsevier Sci Ltd en_US
dc.relation.ispartof Applied Energy en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Multi -Objective Turbine Allocation en_US
dc.subject Wind Farm Layout Optimization en_US
dc.subject Site Selection en_US
dc.subject Geographic Information System (GIS) en_US
dc.subject Analytical Hierarchy Process (AHP) en_US
dc.subject Renewable Energy en_US
dc.title Multi-Objective Turbine Allocation on a Wind Farm Site 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 Yilmaz, Kutay/Jpk-6886-2023
gdc.author.wosid Dinçer, Ersin/Gsi-8485-2022
gdc.author.wosid Demir, Abdullah/Ixx-2300-2023
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. E.] Abdullah Gul Univ, Hydraul Lab, Dep Civil Eng, TR-38080 Kayseri, Turkiye; [Demir, A.] Abdullah Gul Univ, Struct Lab, Dep Civil Eng, TR-38080 Kayseri, Turkiye; [Yilmaz, K.] Yasar Univ, Hydraul Lab, Dep Civil Eng, Izmir, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 122346
gdc.description.volume 355 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W4388900756
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gdc.opencitations.count 13
gdc.plumx.crossrefcites 18
gdc.plumx.mendeley 19
gdc.plumx.scopuscites 19
gdc.scopus.citedcount 19
gdc.virtual.author Dinçer, Ali Ersin
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