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
引用
收藏
页码:4034 / 4054
相关论文
共 37 条
  • [31] Case Study of Solar Photovoltaic Power-Plant Site Selection for Infrastructure Planning Using a BIM-GIS-Based Approach
    Heo, Jae
    Moon, Hyounseok
    Chang, Soowon
    Han, SangUk
    Lee, Dong-Eun
    APPLIED SCIENCES-BASEL, 2021, 11 (18):
  • [32] Intuitionistic fuzzy multi-attribute group decision-making with an application to plant location selection based on a new extended VIKOR method
    Gupta, Pankaj
    Mehlawat, Mukesh Kumar
    Grover, Nishtha
    INFORMATION SCIENCES, 2016, 370 : 184 - 203
  • [33] A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran
    Shorabeh, Saman Nadizadeh
    Firozjaei, Mohammad Karimi
    Nematollahi, Omid
    Firozjaei, Hamzeh Karimi
    Jelokhani-Niaraki, Mohammadreza
    RENEWABLE ENERGY, 2019, 143 : 958 - 973
  • [34] GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India
    Rane, Nitin Liladhar
    Gunen, Mehmet Akif
    Mallick, Suraj Kumar
    Rane, Jayesh
    Pande, Chaitanya B.
    Giduturi, Monica
    Bhutto, Javed Khan
    Yadav, Krishna Kumar
    Tolche, Abebe Debele
    Alreshidi, Maha Awjan
    ENVIRONMENTAL SCIENCES EUROPE, 2024, 36 (01)
  • [35] GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India
    Nitin Liladhar Rane
    Mehmet Akif Günen
    Suraj Kumar Mallick
    Jayesh Rane
    Chaitanya B. Pande
    Monica Giduturi
    Javed Khan Bhutto
    Krishna Kumar Yadav
    Abebe Debele Tolche
    Maha Awjan Alreshidi
    Environmental Sciences Europe, 36
  • [36] Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran
    Yousefi, Hossein
    Hafeznia, Hamed
    Yousefi-Sahzabi, Amin
    ENERGIES, 2018, 11 (07)
  • [37] Multi-criteria solar power plant siting problem solution using a GIS-Taguchi loss function based interval type-2 fuzzy approach: The case of Kars Province/Turkey
    Sahin, Gokhan
    Akkus, Ibrahim
    Koc, Ahmet
    van Sark, Wilfried
    HELIYON, 2024, 10 (10)