Multi-Objective Turbine Allocation on a Wind Farm Site
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Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Sci Ltd
Open Access Color
Green Open Access
No
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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 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.
Description
Dincer, Ali Ersin/0000-0002-4662-894X; Yilmaz, Kutay/0000-0001-5529-9239;
Keywords
Multi -Objective Turbine Allocation, Wind Farm Layout Optimization, Site Selection, Geographic Information System (GIS), Analytical Hierarchy Process (AHP), Renewable Energy
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
13
Source
Applied Energy
Volume
355
Issue
Start Page
122346
End Page
PlumX Metrics
Citations
CrossRef : 18
Scopus : 19
Captures
Mendeley Readers : 19
SCOPUS™ Citations
19
checked on Feb 03, 2026
Web of Science™ Citations
17
checked on Feb 03, 2026
Page Views
1
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Google Scholar™

OpenAlex FWCI
10.39900536
Sustainable Development Goals
2
ZERO HUNGER

7
AFFORDABLE AND CLEAN ENERGY

8
DECENT WORK AND ECONOMIC GROWTH

13
CLIMATE ACTION

14
LIFE BELOW WATER

17
PARTNERSHIPS FOR THE GOALS


