Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning

被引:0
|
作者
Ünsal, Ömer [1 ]
Demir, Gülay [2 ]
Karakuş, Can Bülent [3 ]
Pamučar, Dragan [4 ,5 ,6 ]
机构
[1] Institute of Social Sciences, Istanbul University, Istanbul,34116, Turkey
[2] High School of Health Vocational Services, Sivas Cumhuriyet University, Sivas,58140, Turkey
[3] Faculty of Fine Arts, Design and Architecture, Sivas Cumhuriyet University, Sivas,58140, Turkey
[4] Széchenyi István University, Győr, Hungary
[5] Department of Industrial Engineering & Management, Yuan Ze University, Taoyuan City, Taiwan
[6] Department of Mechanics and Mathematics, Western Caspian University, Baku, Azerbaijan
来源
Energy Reports | 2024年 / 12卷
关键词
Sensitivity analysis;
D O I
10.1016/j.egyr.2024.09.055
中图分类号
学科分类号
摘要
In order to achieve sustainable energy consumption and development goals, it is of great importance to find suitable locations for the construction of solar power plants. In this study, Geographic Information System (GIS) and Z-Number iteration of Fuzzy Logarithm Additive Weights Methodology (F-LMAW), a recently adopted Multi-Criteria Decision Making Analysis (MCDA) technique, are used to identify the best locations for solar power plant construction in Mersin province. Nineteen criteria were selected for the study and their relative weights and usefulness in ranking the solar power plant locations were estimated. The Weighted Linear Combination (WLC) technique was used to determine the suitability index for solar power plant siting in the study area. According to the analysis made by taking into account the expert opinions for the site selection of solar power plants, the solar radiation criterion was the most important criterion with a weight value of 0,0664, while the distance from the river criterion was the least important criterion with a weight value of 0,0265. A potential suitability map for the solar power plant was produced with the suitability index values. According to the suitability index values, the study area exhibited suitability degrees for solar power plant siting ranging from suitable (0,0038 %) to moderately suitable (0,0034 %) and very slightly suitable (0,0033 %). Silifke and Mut regions are considered as good locations for solar power plants in Mersin province. The robustness of the proposed technique was determined by sensitivity analysis. © 2024 The Authors
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页码:4034 / 4054
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