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http://dx.doi.org/10.7316/KHNES.2014.25.6.609

Study on a Quantitative Risk Assessment of a Large-scale Hydrogen Liquefaction Plant  

Do, Kyu Hyung (Environmental and Energy Systems Research Division, Korea Institute of Machinery and Materials)
Han, Yong-Shik (Environmental and Energy Systems Research Division, Korea Institute of Machinery and Materials)
Kim, Myung-Bae (Environmental and Energy Systems Research Division, Korea Institute of Machinery and Materials)
Kim, Taehoon (Environmental and Energy Systems Research Division, Korea Institute of Machinery and Materials)
Choi, Byung-Il (Environmental and Energy Systems Research Division, Korea Institute of Machinery and Materials)
Publication Information
Transactions of the Korean hydrogen and new energy society / v.25, no.6, 2014 , pp. 609-619 More about this Journal
Abstract
In the present study, the frequency of the undesired accident was estimated for a quantitative risk assessment of a large-scale hydrogen liquefaction plant. As a representative example, the hydrogen liquefaction plant located in Ingolstadt, Germany was chosen. From the analysis of the liquefaction process and operating conditions, it was found that a $LH_2$ storage tank was one of the most dangerous facilities. Based on the accident scenarios, frequencies of possible accidents were quantitatively evaluated by using both fault tree analysis and event tree analysis. The overall expected frequency of the loss containment of hydrogen from the $LH_2$ storage tank was $6.83{\times}10^{-1}$times/yr (once per 1.5 years). It showed that only 0.1% of the hydrogen release from the $LH_2$ storage tank occurred instantaneously. Also, the incident outcome frequencies were calculated by multiplying the expected frequencies with the conditional probabilities resulting from the event tree diagram for hydrogen release. The results showed that most of the incident outcomes were dominated by fire, which was 71.8% of the entire accident outcome. The rest of the accident (about 27.7%) might have no effect to the population.
Keywords
Quantitative risk assessment; Hydrogen release; Fault tree analysis; Event tree analysis; Accident outcome frequency;
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