Multi-objective turbine allocation on a wind farm site
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Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
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 Gökçeada Türkiye 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 Gökçeada 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 Gökçeada. The MOTA method presents a practical and efficient solution for wind farm development contributing to sustainable and efficient renewable energy generation. © 2024 Elsevier B.V. All rights reserved.
Description
Keywords
Analytical Hierarchy Process (ahp), Geographic Information System (gis), Multi-objective Turbine Allocation, Renewable Energy, Site Selection, Wind Farm Layout Optimization, Geographic Information System (GIS), Renewable Energy, Wind Farm Layout Optimization, Multi -Objective Turbine Allocation, Multi-Objective Turbine Allocation, Site Selection, Analytical Hierarchy Process (AHP)
Fields of Science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
18
Source
Applied Energy
Volume
355
Issue
Start Page
122346
End Page
PlumX Metrics
Citations
CrossRef : 18
Scopus : 20
Captures
Mendeley Readers : 19
SCOPUS™ Citations
20
checked on Apr 10, 2026
Web of Science™ Citations
18
checked on Apr 10, 2026
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