Multi-objective turbine allocation on a wind farm site

dc.contributor.author A. E. Dincer
dc.contributor.author A. Demir
dc.contributor.author K. Yilmaz
dc.date FEB 1
dc.date.accessioned 2025-10-06T16:21:50Z
dc.date.issued 2024
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.
dc.identifier.doi 10.1016/j.apenergy.2023.122346
dc.identifier.issn 0306-2619
dc.identifier.uri http://dx.doi.org/10.1016/j.apenergy.2023.122346
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7080
dc.language.iso English
dc.publisher ELSEVIER SCI LTD
dc.relation.ispartof Applied Energy
dc.source APPLIED ENERGY
dc.subject Multi -objective turbine allocation, Wind farm layout optimization, Site selection, Geographic information system (GIS), Analytical hierarchy process (AHP), Renewable energy
dc.subject LAYOUT OPTIMIZATION, GENETIC ALGORITHM, SUITABILITY ASSESSMENT, OPTIMAL PLACEMENT, POWER PRODUCTION, ENERGY, SELECTION, DESIGN, MODEL, WAKES
dc.title Multi-objective turbine allocation on a wind farm site
dc.type Article
dspace.entity.type Publication
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.startpage 122346
gdc.description.volume 355
gdc.identifier.openalex W4388900756
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gdc.oaire.popularity 1.6914017E-8
gdc.oaire.publicfunded false
gdc.openalex.collaboration National
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gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 18
gdc.plumx.crossrefcites 18
gdc.plumx.mendeley 19
gdc.plumx.scopuscites 20
person.identifier.orcid Dincer- Ali Ersin/0000-0002-4662-894X, Yilmaz- Kutay/0000-0001-5529-9239
publicationvolume.volumeNumber 355
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