A Fuzzy Hybrid Decision Model for Renewable Energy Sources Selection

Year 2018, Volume: 4 Issue: 1, 6 - 10, 15.03.2018

Merve Cengiz Toklu , Harun Taşkın

https://doi.org/10.22399/ijcesen.399976

Cited By: 4

Abstract

The energy needs of the world are increasing
from day to day. The largest sources of energy currently used are fossil fuels.
Non-renewable energy sources threaten the world as a result of many problems such
as air, water and environmental pollution. The selection of energy sources is
crucial for improving of countries. Different criteria must be evaluated
simultaneously to select between renewable energy sources. In this study, a
hybrid approach involving Fuzzy AHP and Fuzzy TOPSIS is suggested to select
renewable energy sources. Proposed approach is presented with a case study for
empirical evidence. In the case study, alternative energy sources were
evaluated under four main criteria: (1) Technical, (2) Economical, (3) Environmental,
(4) Social and Political. As a result of the 2-stage evaluation method
including multi-criteria decision making techniques, wind energy was determined
as the most suitable alternative.

Keywords

Renewable Energy, Fuzzy Logic, AHP, TOPSIS

References

• [1] Kahraman C. and I. Kaya, “A fuzzy multicriteria methodology for selection among energy alternatives,” Expert Syst. Appl., vol. 37, no. 9 (2010), pp. 6270–6281.[2] “Republic of Turkey Ministry of Foreign Affairs.”Available:http://www.mfa.gov.tr/turkeys-energy-strategy.en.mfa. [Accessed: 01-Oct-2017].[3] Evrendilek F. and C. Ertekin, “Assessing the potential of renewable energy sources in Turkey,” Renew. Energy, vol. 28, no. 15 (2003), pp. 2303–2315.[4] Polatidis H., D. A. Haralambopoulos, G. Munda, and R. Vreeker, “Selecting an Appropriate Multi-Criteria Decision Analysis Technique for Renewable Energy Planning,” Energy Sources, Part B Econ. Planning, Policy, vol. 1, no. 2 (2006), pp. 181–193.[5] Bilgen S., S. Keleş, A. Kaygusuz, A. Sarı, and K. Kaygusuz, “Global warming and renewable energy sources for sustainable development: A case study in Turkey,” Renew. Sustain. Energy Rev., vol. 12, no. 2 (2008), pp. 372–396.[6] Kahraman C., I. Kaya, and S. Cebi, “A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process,” Energy, vol. 34, no. 10 (2009), pp. 1603–1616.[7] Evans A., V. Strezov, and T. J. Evans, “Assessment of sustainability indicators for renewable energy technologies,” Renew. Sustain. Energy Rev., vol. 13, no. 5 (2009), pp. 1082–1088.[8] Wang B., D. F. Kocaoglu, T. U. Daim, and J. Yang, “A decision model for energy resource selection in China,” Energy Policy, vol. 38, no. 11 (2010), pp. 7130–7141.[9] Kaya T. and C. Kahraman, “Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul,” Energy, vol. 35, no. 6 (2010), pp. 2517–2527.[10] Heo E., J. Kim, and K.-J. Boo, “Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP,” Renew. Sustain. Energy Rev., vol. 14, no. 8 (2010), pp. 2214–2220.[11] San Cristóbal J.R., “Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method,” Renew. Energy, vol. 36, no. 2 (2011), pp. 498–502.[12] Kaya T. and C. Kahraman, “Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology,” Expert Syst. Appl., vol. 38, no. 6 (2011), pp. 6577–6585.[13] Boran F.E., K. Boran, and T. Menlik, “The Evaluation of Renewable Energy Technologies for Electricity Generation in Turkey Using Intuitionistic Fuzzy TOPSIS,” Energy Sources, Part B Econ. Planning, Policy, vol. 7, no. 1 (2012), pp. 81–90.[14] Demirtas O., “Evaluating the Best Renewable Energy Technology for Sustainable Energy Planning,” Int. J. Energy Econ. Policy, vol. 3(2013), pp. 23–33.[15] Ahmad S. and R. M. Tahar, “Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia,” Renew. Energy, vol. 63 (2014), pp. 458–466.[16] Çelikbilek Y. and F. Tüysüz, “An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources,” Energy, vol. 115(2016), pp. 1246–1258.[17] Büyüközkan G. and S. Güleryüz, “Fuzzy Multi Criteria Decision Making Approach for Evaluating Sustainable Energy Technology Alternatives,” vol. 1 (2016), pp. 1–6.[18] Büyüközkan G. and S. Güleryüz, “An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey,” Int. J. Prod. Econ., vol. 182 (2016), pp. 435–448.[19] L. A. Zadeh, “Fuzzy sets,” Inf. Control, vol. 8, no. 3 (1965), pp. 338–353.[20] Saaty T.L., The analytic hierarchy process. New York, USA: McGraw-Hill, 1980.[21] Chang D.-Y., “Applications of the extent analysis method on fuzzy AHP,” Eur. J. Oper. Res., vol. 95, no. 3, pp. 649–655, 1996.[22] Chen C.-T., “Extensions of the TOPSIS for group decision-making under fuzzy environment,” Fuzzy Sets Syst., vol. 114, no. 1 (2000), pp. 1–9.[23] Chen C.-T., C.-T. Lin, and S.-F. Huang, “A fuzzy approach for supplier evaluation and selection in supply chain management,” Int. J. Prod. Econ., vol. 102, no. 2 (2006), pp. 289–301.[24] Baris K. and S. Kucukali, “Availibility of renewable energy sources in Turkey: Current situation, potential, government policies and the EU perspective,” Energy Policy, vol. 42 (2012), pp. 377–391.[25] Erdogan M. and I. Kaya, “An integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey,” Iran. J. Fuzzy Syst., vol. 12, no. 1 (2015), pp. 1–25.[26] Büyüközkan G. and Y. Karabulut, “Energy project performance evaluation with sustainability perspective,” Energy, vol. 119 (2017), pp. 549–560.[27] “Republic of Turkey Ministry of Energy and Natural Resources,”http://www.mfa.gov.tr. Available:http://www.enerji.gov.tr/enUS/Pages/Wind. [Accessed: 01-Oct-2017].[28] Jadallah A. A., D. Y. Mahmood, Z. Er, and Z. A. Abdulqaedr, “Hybridization of solar/wind energy system for power generation in rural aeras,” Acta Phys. Pol. A, vol. 130, no. 1 (2016), pp. 434–437.