Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey

Abstract

a b s t r a c tMulti-Criteria Decision Making (MCDM) techniques are gaining popularity in energy supply systems. The aim of this paper is to develop the multi-criteria decision support framework for ranking renewable energy supply systems in Turkey. Given the selection of renewable energy supply systems involves many conflicting criteria, multi criteria decision methods (Fuzzy TOPSIS) were employed for the analysis. The Interval Shannon's Entropy methodology was used to determine weight values of the criteria. In this study, a ¼ 0.1, 0.5 and 0.9 values based sensitivity analysis were performed. Three a-cutting levels were identical to the sequence of alternatives. According to result, the first criterion in preference ranking of renewable energy sources in Turkey is the Amount of Energy Produced, followed by the ranking systems Land use, Operation and maintenance cost, Installed capacity, Efficiency, Payback period, Investment cost, Job creation, and Value of CO 2 emission. Thus the multi-criteria analysis showed that the Hydro Power Station is determined to be the most renewable energy supply system in Turkey. Additionally, the Geothermal Power Station, Regulator and Wind Power Station are determined to be the second, third and fourth, respectively. The government of Turkey should invest, in order of priority, in these systems. The government should also evaluate the projects, which are related to these renewable energy resources.

Selection of Best Renewable Energy Source by Using VIKOR Method

“…For the feasibility, increased penetration of RESs should maintain the resilience of transmission and distribution network [21]. On-site power generation from the RESs requires selection of the suitable energy sources for the installation region based on multiple criteria [5,6,22]. In developing countries, selection of optimal RES in the form of distributed generation technology will give us the maximum payoff with the sustainable environment [23,24].…”

“…Kaya and Kahraman [49] used modified fuzzy TOPSIS method for the selection of best energy technology, and Ş engül et al [5] used this technique for the ranking of renewable energy supply. Comparative analysis between TOPSIS and VIKOR is shown in the article by Opricovic and Tzeng [11].…”

“…Diakoulaki and Karangelis [58] studied for the country Greece to identify the best alternative of RES. Ş engül et al [5] identified that hydro power source is the best source for the country Turkey, depending on regional potential and importance hydro power efficiency may vary with locations or some other alternative can be perfect in different location. Ahmad and Tahar [28] considered a list of alternatives of RESs to select the best alternative of RES for the country Malaysia.…”

“…Optimal utilization of small-scale generation units of RESs helps us in multiple ways like reducing per unit generation cost, avoid carbon emissions and harness abundant available RESs. Based on past literature in this area, multiple authors agreed on a large number of criteria considered for making the selection of appropriate RESs are more complex [5,6]. For this, the research community is doing research to develop an appropriate technique to grab preferences and to define evaluation models and algorithms for this kind of problems [7,8].…”

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

“…The concept has a dominant role in information theory [25]. According to Saad et al [26], Shannon's entropy concept is 'appropriate for calculating the relative contrast intensities of criteria to represent the average intrinsic information transmitted to the decision maker'.…”