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Journal of Zhejiang University SCIENCE A 2013 Vol.14 No.8 P.565-573


Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia*

Author(s):  Hue-yee Chong, Mahidzal Dahari, Hwa-jen Yap, Ying-tai Loong

Affiliation(s):  . Department of Mechanical Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur 50603, Malaysia

Corresponding email(s):   chonghy@um.edu.my

Key Words:  Risk criteria, Risk prioritization, Hydrogen refueling facility, Fuzzy logic

Hue-yee Chong, Mahidzal Dahari, Hwa-jen Yap, Ying-tai Loong. Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia[J]. Journal of Zhejiang University Science A, 2013, 14(8): 565-573.

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author="Hue-yee Chong, Mahidzal Dahari, Hwa-jen Yap, Ying-tai Loong",
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publisher="Zhejiang University Press & Springer",

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%T Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia
%A Hue-yee Chong
%A Mahidzal Dahari
%A Hwa-jen Yap
%A Ying-tai Loong
%J Journal of Zhejiang University SCIENCE A
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%DOI 10.1631/jzus.A1300114

T1 - Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia
A1 - Hue-yee Chong
A1 - Mahidzal Dahari
A1 - Hwa-jen Yap
A1 - Ying-tai Loong
J0 - Journal of Zhejiang University Science A
VL - 14
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SP - 565
EP - 573
%@ 1673-565X
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1300114

Hydrogen is starting to be mentioned as an alternative fuel to replace the fossil fuel in future transportation applications due to its characteristics of zero greenhouse gas emission and high energy efficiency. Before hydrogen fuel and its facilities can be introduced to the public, relevant safety issues and its hazards must be assessed in order to avoid any chance of injury or loss. While a traditional risk assessment has difficulty in prioritizing the risk of failure modes, this paper proposes a new fuzzy-based risk evaluation technique which uses fuzzy value to prioritize the risk of various scenarios. In this study, the final risk of each failure modes was prioritized by using the MATLAB fuzzy logic tool box with a combination of two assessments. The first assessment was concerned with the criteria which affected the actual probability of occurrence. This assessment considered the availability of the standard that was applied to prevent the likelihood of the scenario occurring. On the other hand, the second assessment was focused on evaluating the consequence of the failure by taking into account the availability of detection and the complexity of the failure rather than only the severity of the scenarios. A total of 87 failure scenarios were identified using failure modes and effect analysis (FMEA) procedures on hydrogen refueling station models. Fuzzy-based assessments were performed through risk prioritizing various failure scenarios with a fuzzy value (0 to 1) and risk level (low, medium, and high) while a traditional risk assessment approach presented the risks only in forms of level (low, medium, and/or high). Availability of the fuzzy value enabled further prioritizing on the risk results that fell in the same level of risk. This study concluded that fuzzy-based risk evaluation is able to further prioritize the decisions when compared with a traditional risk assessment method.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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