Determination of the best hydrogen production method in Türkiye by using neutrosophic picture fuzzy TOPSIS

Gürkan Işık (), İsmail Enes Parlak () and Aytaç Yıldız ()
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Gürkan Işık: Bursa Technical University
İsmail Enes Parlak: Bursa Technical University
Aytaç Yıldız: Bursa Technical University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 7, No 100, 18929-18955

Abstract: Abstract To meet all energy requirements by renewable energy (RE) sources, hydrogen is an effective energy transport and storage instrument. Because of being a highly innovative field in developing countries, there are high uncertainties with different subcomponents in the hydrogen energy (HE) field. In the literature, fuzzy set extensions are heavily preferred to model different types of uncertainties when making decisions in the energy field. As one of the most comprehensive ones, spherical fuzzy set (SFS) is used to model the uncertainties caused by refusal and inconsistency within some theoretical limitations. In this study, a novel fuzzy set (FS) extension called neutrosophic picture fuzzy set has been developed to obtain a more flexible and reliable modeling approach usable with the information having higher inconsistency, and suitable with the problems requiring precise calculations. As a popular decision-making (DM) techniques, TOPSIS methodology has been redesigned based on neutrosophic picture fuzzy set. By using the developed methodology, the available hydrogen production (HP) alternatives of Türkiye have been evaluated. Biomass gasification (BG) has been decided as the best hydrogen energy production method under the current conditions. The results have been compared with the results obtained by spherical fuzzy TOPSIS and it has been proved that more reliable results are obtained by the proposed method.

Keywords: Renewable energy; Hydrogen production; Inconsistency; Refusal; TOPSIS (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03792-y

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