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Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey

Author

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  • Çolak, Murat
  • Kaya, İhsan

Abstract

Nowadays, energy demand is increasing as a result of growing population all over the world. Current conventional sources are not an adequate level in order to meet this energy requirement. Therefore, it is necessary to consider economic and clean alternative energy sources. In this context, renewable energy sources can be contemplated as a solution for this energy problem. On the other hand, selection among energy alternatives is a multi-criteria decision making (MCDM) problem and it is necessary to make an assessment in terms of several conflicting criteria. Sometimes, it may not be easy to evaluate these criteria by using crisp numbers and we need to evaluate by using human judgements and linguistic terms that can be used for a more flexible and sensitive evaluation. However, the fuzzy sets enable to cope with vagueness of evaluations in decision making process. In this study, an integrated MCDM model based on the fuzzy sets is proposed for prioritization of renewable energy alternatives in Turkey. The suggested fuzzy MCDM model combines analytic hierarchy process (AHP) based on interval type-2 fuzzy sets and hesitant fuzzy TOPSIS methods. Since the type-2 fuzzy sets whose membership functions are also fuzzy and hesitant fuzzy sets that enable to handle situations that an element has several membership value are more able to model uncertainties in decision making process, in this paper a MCDM methodology based on these two methods are suggested to evaluate renewable energy alternatives for Turkey. Interval type-2 fuzzy AHP method is applied to determine the weights of decision criteria, and hesitant fuzzy TOPSIS method is applied to prioritize renewable energy alternatives. A real case application has been presented via expert evaluations to indicate applicability of the proposed model. Besides, a sensitivity analysis has been performed to examine the effects of main criteria weights in ranking.

Suggested Citation

  • Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
  • Handle: RePEc:eee:rensus:v:80:y:2017:i:c:p:840-853
    DOI: 10.1016/j.rser.2017.05.194
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    References listed on IDEAS

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    1. Kowalski, Katharina & Stagl, Sigrid & Madlener, Reinhard & Omann, Ines, 2009. "Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1063-1074, September.
    2. Haralambopoulos, D.A. & Polatidis, H., 2003. "Renewable energy projects: structuring a multi-criteria group decision-making framework," Renewable Energy, Elsevier, vol. 28(6), pages 961-973.
    3. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    4. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    5. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    6. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    7. Cebi, Selcuk & Ilbahar, Esra & Atasoy, Aylin, 2016. "A fuzzy information axiom based method to determine the optimal location for a biomass power plant: A case study in Aegean Region of Turkey," Energy, Elsevier, vol. 116(P1), pages 894-907.
    8. Nigim, K. & Munier, N. & Green, J., 2004. "Pre-feasibility MCDM tools to aid communities in prioritizing local viable renewable energy sources," Renewable Energy, Elsevier, vol. 29(11), pages 1775-1791.
    9. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    10. Beccali, M. & Cellura, M. & Mistretta, M., 2003. "Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology," Renewable Energy, Elsevier, vol. 28(13), pages 2063-2087.
    11. Abdolreza Yazdani-Chamzini & Mohammad Majid Fouladgar & Edmundas Kazimieras Zavadskas & S. Hamzeh Haji Moini, 2013. "Selecting the optimal renewable energy using multi criteria decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(5), pages 957-978, November.
    12. Ghosh, Soumya & Chakraborty, Tilottama & Saha, Satyabrata & Majumder, Mrinmoy & Pal, Manish, 2016. "Development of the location suitability index for wave energy production by ANN and MCDM techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1017-1028.
    13. Madlener, Reinhard & Kowalski, Katharina & Stagl, Sigrid, 2007. "New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in Austria," Energy Policy, Elsevier, vol. 35(12), pages 6060-6074, December.
    14. Troldborg, Mads & Heslop, Simon & Hough, Rupert L., 2014. "Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1173-1184.
    15. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    16. Mesut Kiliç & İhsan Kaya, 2016. "The prioritisation of provinces for public grants allocation by a decision-making methodology based on type-2 fuzzy sets," Urban Studies, Urban Studies Journal Limited, vol. 53(4), pages 755-774, March.
    17. Yüksel, Ibrahim, 2010. "Energy production and sustainable energy policies in Turkey," Renewable Energy, Elsevier, vol. 35(7), pages 1469-1476.
    18. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    19. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
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