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Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey

Open access
Şengül, Ümran, Eren, Miraç, Eslamian Shiraz, Seyedhadi, Gezder, Volkan, Şengül, Ahmet Bilal·2015·Renewable Energy

Abstract

Multi-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, α = 0.1, 0.5 and 0.9 values based sensitivity analysis were performed. Three α-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 CO2 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.

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Metadata

Authors
Şengül, Ü., Eren, M., Eslamian Shiraz, S., Gezder, V., & Şengül, A. B.
Venue
Renewable Energy
Publisher
Elsevier BV
Published
2015-03
Volume
75
Pages
617-625
ISSN
0960-1481 (ISSN-L)
OpenAlex
W1963593953
Cited by
557
References
2
FWCI
29.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. https://app.cochat.ai/papers/10.1016/j.renene.2014.10.045
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Şengül, Ü., Eren, M., Eslamian Shiraz, S., Gezder, V., & Şengül, A. B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy. https://doi.org/10.1016/j.renene.2014.10.045

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