Scholarlink

<p>Hydrogen has garnered significant attention in recent decades as a crucial component of energy systems for a sustainable future, leading to a notable emphasis on improving the sustainability of hydrogen energy production systems. Among the different methods of hydrogen production, green hydrogen is regarded as the most desirable energy option for future generations. However, despite its advantages, the selection of the most suitable method for green hydrogen production involves a complex analysis. Given this complexity, it becomes essential to employ a systematic approach to evaluate and compare the different options effectively. To address this multifaceted decision-making challenge, a Multi-Attribute Decision-Making (MADM) framework can be invaluable. In this context, this paper adopts the Evaluation based on Distance from Average Solution (EDAS) approach, which is recognized for its practicality and robustness in assessing alternatives. Nonetheless, the implementation of the traditional EDAS method does have certain limitations, despite its ability to offer a systematic decision-making framework. The traditional EDAS method is not capable of handling decision matrices that simultaneously contain both quantitative values and qualitative evaluations. To address this limitation, this study presents a novel modification to the EDAS method that integrates pairwise qualitative and direct quantitative evaluations, aiming to propose a comprehensive technique that combines both attribute types and provides decision-makers with a unified framework for determining the most suitable option for green hydrogen production. The computational results of this modified method indicate that wind electrolysis emerges as the most suitable option for green hydrogen production. Additionally, a comparative analysis with other MADM techniques, alongside a thorough sensitivity analysis, underscores the robustness and reliability of the proposed framework. The implications of the modified EDAS framework extend beyond theoretical contributions; it offers a systematic approach for resource allocation and aligns with industry standards for sustainable green hydrogen production. By facilitating informed decision-making, this framework equips stakeholders with the tools necessary to advance sustainable energy solutions effectively.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Selecting a sustainable hydrogen production method using a novel dual evaluation EDAS approach

  • 期刊论文

  • 发表日期：

    2025年5月23日

查看全文
  • Hossein Ghanbari,
  • Hamidreza Seiti,
  • Emran Mohammadi,
  • Ali Elkamel

摘要

Hydrogen has garnered significant attention in recent decades as a crucial component of energy systems for a sustainable future, leading to a notable emphasis on improving the sustainability of hydrogen energy production systems. Among the different methods of hydrogen production, green hydrogen is regarded as the most desirable energy option for future generations. However, despite its advantages, the selection of the most suitable method for green hydrogen production involves a complex analysis. Given this complexity, it becomes essential to employ a systematic approach to evaluate and compare the different options effectively. To address this multifaceted decision-making challenge, a Multi-Attribute Decision-Making (MADM) framework can be invaluable. In this context, this paper adopts the Evaluation based on Distance from Average Solution (EDAS) approach, which is recognized for its practicality and robustness in assessing alternatives. Nonetheless, the implementation of the traditional EDAS method does have certain limitations, despite its ability to offer a systematic decision-making framework. The traditional EDAS method is not capable of handling decision matrices that simultaneously contain both quantitative values and qualitative evaluations. To address this limitation, this study presents a novel modification to the EDAS method that integrates pairwise qualitative and direct quantitative evaluations, aiming to propose a comprehensive technique that combines both attribute types and provides decision-makers with a unified framework for determining the most suitable option for green hydrogen production. The computational results of this modified method indicate that wind electrolysis emerges as the most suitable option for green hydrogen production. Additionally, a comparative analysis with other MADM techniques, alongside a thorough sensitivity analysis, underscores the robustness and reliability of the proposed framework. The implications of the modified EDAS framework extend beyond theoretical contributions; it offers a systematic approach for resource allocation and aligns with industry standards for sustainable green hydrogen production. By facilitating informed decision-making, this framework equips stakeholders with the tools necessary to advance sustainable energy solutions effectively.