Application of Fuzzy Linguistic Modeling Aggregated with VIKOR for Optimal Selection of Solar Power Plant Site: An Empirical Study

Author(s):  
Bhavin Shah ◽  
Harsh Lakhani ◽  
Kumar Abhishek ◽  
Soni Kumari
Author(s):  
A. Tunc ◽  
G. Tuncay ◽  
Z. Alacakanat ◽  
F. S. Sevimli

<p><strong>Abstract.</strong> Today, countries are shifting their energy policies towards to renewable energy sources. The main reasons for this can be summarized as the reduction of fossil fuel resources, resulting in cost increase and their harmful effect on the ecological balance. Since renewable energy sources are both economical and eco-friendly, for countries which have high solar energy potential such as Turkey, it is reasonable to direct their energy policies to solar energy which is a renewable energy source.</p><p>In this study, the development of renewable energy legislation in Turkey, from past to present has been examined and implementation steps for the licenced and unlicensed generation of electricity from solar energy have been introduced. Ten impact factors have been identified as the first step for the implementation of the solar power plant site selection in Istanbul, which was determined as the pilot region. Impact factors weighted using Analytical Hierarchy Process (AHP) method. Concurrently, the weights of these determined impact factors were compared with the weights obtained by evaluating the results of the “Evaluation of Solar Energy Power Plant Site Selection Factors” survey conducted during the study. After obtaining the weights, the relevant data were collected and the necessary analyses were performed with the help of the GIS software and the most suitable places were provided for the solar power plant for Istanbul.</p>


2010 ◽  
Vol 14 (1) ◽  
pp. 249-264 ◽  
Author(s):  
P. Aragonés-Beltrán ◽  
F. Chaparro-González ◽  
J.P. Pastor-Ferrando ◽  
F. Rodríguez-Pozo

2021 ◽  
pp. 1-23
Author(s):  
Faiza Tufail ◽  
Muhammad Shabir

Bipolarity indicates the positive and negative aspects of a particular problem. The concept behind the bipolarity is that a huge range of human decision analysis is involved in bipolar subjective thoughts. The VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) which means multicriteria optimization and compromise solution, has already become a quite popular multi-criteria decision making tool for its computational simplicity and solution accuracy. In this article, we propose a hybrid model for multi-criteria decision-making (MCDM) based on bipolar fuzzy soft β-covering based bipolar fuzzy rough sets using VIKOR technique. It consists of a suitable redesign of the VIKOR approach so that it can use information with bipolar configurations. This method focuses on selecting and ranking from a set of feasible alternatives, and determines compromise solution for a problem with conflicting criteria to help the decision maker in reaching a final course of action. It determines the compromise ranking list based on the particular measure of closeness to the ideal solution. For illustration, the proposed technique is applied to a decision-making problems, namely, the selection of site for renewable energy project (solar power plant). A comparison of this method with another aggregation operator method and with the existing decision making algorithm Fuzzy VIKOR is also presented.


2019 ◽  
Vol 143 ◽  
pp. 958-973 ◽  
Author(s):  
Saman Nadizadeh Shorabeh ◽  
Mohammad Karimi Firozjaei ◽  
Omid Nematollahi ◽  
Hamzeh Karimi Firozjaei ◽  
Mohammadreza Jelokhani-Niaraki

2018 ◽  
Author(s):  
P. K. Verma ◽  
A. K. Vishnoi ◽  
Naveen Kumar ◽  
Arun K. Nayak ◽  
G. J. Gorade ◽  
...  

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