An advanced framework for leakage risk assessment of hydrogen refueling stations using interval-valued spherical fuzzy sets (IV-SFS) Article Swipe
Reza Ghasemi Pirbalouti
,
Mohammadreza Karimi Dehkordi
,
Javad Mohammadpour
,
Esmaeil Zarei
,
Mohammad Yazdi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijhydene.2023.03.028
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijhydene.2023.03.028
The extensive population growth calls for substantial studies on sustainable development in urban areas. Thus, it is vital for cities to be resilient to new situations and adequately manage the changes. Investing in renewable and green energy, including high-tech hydrogen infrastructure, is crucial for sustainable economic progress and for preserving environmental quality. However, implementing new technology needs an effective and efficient risk assessment investigation to minimize the risk to an acceptable level or ALARP (As low as reasonably practicable). The present study proposes an advanced decision-making framework to manage the risk of hydrogen refueling station leakage by adopting the Bow-tie analysis and Interval-Value Spherical Fuzzy Sets to properly deal with the subjectivity of the risk assessment process. The outcomes of the case study illustrate the causality of hydrogen refueling stations' undesired events and enhance the decision-maker's thoughts about risk management under uncertainty. According to the findings, jet fire is a more likely accident in the case of liquid hydrogen leakage. Furthermore, equipment failure has been recognized as the most likely cause of hydrogen leakage. Thus, in order to maintain the reliability of liquid hydrogen refueling stations, it is crucial that decision-makers develop a trustworthy safety management system that integrates a variety of risk mitigation measures including asset management strategies.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijhydene.2023.03.028
- OA Status
- hybrid
- Cited By
- 73
- References
- 92
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4360620140
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4360620140Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ijhydene.2023.03.028Digital Object Identifier
- Title
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An advanced framework for leakage risk assessment of hydrogen refueling stations using interval-valued spherical fuzzy sets (IV-SFS)Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-03-23Full publication date if available
- Authors
-
Reza Ghasemi Pirbalouti, Mohammadreza Karimi Dehkordi, Javad Mohammadpour, Esmaeil Zarei, Mohammad YazdiList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijhydene.2023.03.028Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.ijhydene.2023.03.028Direct OA link when available
- Concepts
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Risk analysis (engineering), Risk assessment, Fuzzy logic, Risk management, Computer science, Reliability engineering, Leakage (economics), Environmental economics, Operations research, Business, Engineering, Computer security, Economics, Artificial intelligence, Finance, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
73Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 29, 2024: 26, 2023: 18Per-year citation counts (last 5 years)
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92Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | International Journal of Hydrogen Energy |
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| publication_date | 2023-03-23 |
| publication_year | 2023 |
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