Multi-objective turbine allocation on a wind farm site

被引:5
|
作者
Dincer, A. E. [1 ]
Demir, A. [2 ]
Yilmaz, K. [3 ]
机构
[1] Abdullah Gul Univ, Hydraul Lab, Dep Civil Eng, TR-38080 Kayseri, Turkiye
[2] Abdullah Gul Univ, Struct Lab, Dep Civil Eng, TR-38080 Kayseri, Turkiye
[3] Yasar Univ, Hydraul Lab, Dep Civil Eng, Izmir, Turkiye
关键词
Multi -objective turbine allocation; Wind farm layout optimization; Site selection; Geographic information system (GIS); Analytical hierarchy process (AHP); Renewable energy; LAYOUT OPTIMIZATION; GENETIC ALGORITHM; SUITABILITY ASSESSMENT; OPTIMAL PLACEMENT; POWER PRODUCTION; ENERGY; SELECTION; DESIGN; MODEL; WAKES;
D O I
10.1016/j.apenergy.2023.122346
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:18
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