期刊文献+

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

Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia
原文传递
导出
摘要 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. Hydrogen is starting to be mentioned as an alternative fuel to replace the fossil fuel in future transportation applica- tions 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 tra- ditional 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.
出处 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2013年第8期565-573,共9页 浙江大学学报(英文版)A辑(应用物理与工程)
基金 Project (No. D000023-16001) supported by the Malaysian Ministry of Higher Education (MOHE) High Impact Research Foundation
关键词 Risk criteria Risk prioritization Hydrogen refueling facility Fuzzy logic 模糊风险 加氢站 优先次序 马来西亚 风险评估方法 设施 模糊逻辑工具箱 故障模式
  • 相关文献

参考文献28

  • 1ASME Group, 2010. ASME Boiler and Pressure Vessel Code. American Society of Mechanical Engineers (ASME).
  • 2Bonvicini, S., Leonelli, P., Spadoni, G., 1998. Risk analysis of hazardous materials transportation. Journal of Hazardous Materials, 62:59-74.
  • 3Casal, J., 2007. Evaluation of the Effects and Consequences of Major Accidents in Industrial Plants. Elsevier Science.
  • 4Darbra, R.M., Demichela, M., Murk, S., 2008. Preliminary risk assessment of ecotoxic substances accidental releases in major risk installations through fuzzy logic. Process Safely and Environmental Protection, 86(2):103-111. [doi:10.1016/j.psep.2007.10.015].
  • 5Denson, W., Chandler, G., Crowell, W., Wanner, R., 1991. Non-electronic Parts Reliability Data. Available from http://www.dtic.mil/dtic/tr/fulltext/u2/a242083.pdf [Ac- cessed on Aug. 15, 2012].
  • 6Dekker, S., Cilliers, P., Hofmeyr, J.H., 2011. The complexity of failure: Implications of complexity theory for safety investigations. Safety Science, 49(6):939-945. [doi:10. 1016/j.ssci.2015.01.008].
  • 7EERE Group, 2011. Current Technology of Hydrogen Storage. Available from http://wwwl.eere.energy.gov/hydrogen andfuelcells/storage/current_technology.html [Accessed on June 10, 2012].
  • 8EIGA Group, 2006. IGC Doc 15/06/e Gaseous Hydrogen Stations. European Industrial Gases Association (EIGA).
  • 9ETSI Group, 2012. What Are Standards? Available from http://www.etsi.org/standards/what-are-standards [Accessed on June 21, 2012].
  • 10Gell-Mann, M., 1995. What is complexity. Complexity, 1(1): 16~19.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部