A Strategic Decision-Making Model for Hydrogen Energy Technology Selection under Sustainability Criteria
持続可能性基準に基づく水素エネルギー技術選択のための戦略的意思決定モデル (AI 翻訳)
Ayse Nur Sagin, Berk Ayvaz, Nezir Aydin
🤖 gxceed AI 要約
日本語
本研究は、経済・環境・社会政治的な持続可能性基準に基づき、最適な水素製造技術を選定するためのFermateanファジィMCDMフレームワークを提案する。トルコをケースにした分析では、低コストと技術成熟度から水蒸気メタン改質が最適と評価された。このフレームワークは不確実性下での複雑なエネルギー意思決定に実用的である。
English
This study proposes a Fermatean fuzzy MCDM framework to select the best hydrogen production technology under economic, environmental, and socio-political sustainability criteria. Using Turkey as a case, it identifies steam methane reforming as most suitable due to low cost and technological maturity. The framework provides practical applicability for complex energy decision-making under uncertainty.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の水素戦略（水素基本戦略等）においても、複数の製造技術（グレー・ブルー・グリーン水素）の比較評価は重要。本フレームワークは、日本の政策立案者や企業が技術選択を行う際の参考となる可能性がある。
In the global GX context
Globally, hydrogen is a key pillar of decarbonization strategies. This MCDM framework offers a systematic approach to compare hydrogen production technologies (e.g., SMR, electrolysis) under sustainability criteria, applicable to other countries and contexts.
👥 読者別の含意
🔬研究者:Provides a novel Fermatean fuzzy MCDM methodology (SWARA & ARTASI) for hydrogen technology selection under uncertainty.
🏢実務担当者:Offers a decision-support tool for companies or investors evaluating hydrogen production projects.
🏛政策担当者:Informs national hydrogen strategy by ranking technologies based on multi-criteria sustainability assessment.
📄 Abstract（原文）
In recent years, the transition towards alternative energy sources has accelerated due to global warming, carbon emissions and dependence on fossil fuels. In this context, hydrogen energy emerges as one of the most prominent energy sources, with features such as near-zero carbon emissions, energy diversity, security of supply, storability, portability, producibility from renewable sources, and high energy density. Hydrogen energy can be derived from different sources using different methods. Because each method has its own merits and drawbacks, selecting the best hydrogen energy production method is a significant challenge for decision-makers. The primary aim of this study is to develop a novel, robust, and integrated Fermatean fuzzy multi-criteria decision-making (MCDM) framework to identify the most suitable hydrogen production technology under economic, environmental, and socio-political sustainability criteria. While the FF - Step-wise Weight Assessment Ratio Analysis (SWARA) is utilized to determine the weights of the main and sub-criteria in an environment of uncertainty, the FF-Additive Ratio Assessment System (ARTASI) is deployed to evaluate hydrogen production technologies. To analyze the robustness and validation of the suggested framework, sensitivity analyses were performed with respect to the criteria weights and the w and α parameters in the utility function, which can affect results, especially in the ARTASI method. According to the analysis results, Steam Methane Reforming was identified as the most suitable technology for hydrogen production in Türkiye due to its low cost, technological maturity, and compatibility with existing infrastructure. Coal gasification ranked second, while electrolysis and biomass gasification ranked third and fourth, respectively. These findings provide policymakers in Trkiye with valuable insights into its sustainable hydrogen strategy and demonstrate the practical applicability of Fermatean fuzzy MCDM methods in complex energy decision-making processes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1142/s0219622026500598first seen 2026-06-11 04:58:22
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