An advanced framework for leakage risk assessment of hydrogen refueling stations using interval-valued spherical fuzzy sets (IV-SFS) |
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| Affiliation: | 1. School of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran;2. Department of Chemical and Materials Engineering, School of Engineering Safety and Risk Management, University of Alberta, AB, Canada;3. School of Engineering, Macquarie University, Sydney, NSW, Australia;4. Department of Safety Science, College of Aviation, Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USA;5. Robertson Safety Institute (RSI), Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USA;1. College of Materials Science and Engineering, Sichuan University, Engineering Research Center of Alternative Energy Materials & Devices, Ministry of Education, Chengdu 610065, PR China;2. Collaborative Innovation Center of Sustainable Energy Materials, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi University, Nanning, 530004, PR China;1. School of Petrochemical Engineering, Liaoning Petrochemical University, Fushun 113001, Liaoning, China;2. Graduate School, Liaoning Petrochemical University, Fushun 113001, Liaoning, China;3. Shanxi Normal University, Taiyuan 030000, Shanxi, China;1. Green Catalysis Center, College of Chemistry, Zhengzhou University, Zhengzhou 450001, China;2. School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China;3. Guangdong Fangyuan Environment Co., Ltd., Jiangmen, Guangdong 529145, China;1. Department of Chemistry, COMSATS University, Abbottabad Campus, Abbottabad, 22060, Pakistan;2. Department of Chemistry, University of Education, Campus Dera Ghazi Khan, Lahore, 32,200, Punjab, Pakistan |
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| Abstract: | 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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| Keywords: | Liquid hydrogen Refueling station Safety barriers Probabilistic risk assessment Decision-making |
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