 Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo methodYeelyong Noh, Kwangpil Chang, Yutaek Seo and Daejun Chang Reliability Engineering and System Safety, 2014, vol. 129, issue C, 76-82 Abstract: This study proposes a new methodology that combines dynamic process simulation (DPS) and Monte Carlo simulation (MCS) to determine the design pressure of fuel storage tanks on LNG-fueled ships. Because the pressure of such tanks varies with time, DPS is employed to predict the pressure profile. Though equipment failure and subsequent repair affect transient pressure development, it is difficult to implement these features directly in the process simulation due to the randomness of the failure. To predict the pressure behavior realistically, MCS is combined with DPS. In MCS, discrete events are generated to create a lifetime scenario for a system. The combination of MCS with long-term DPS reveals the frequency of the exceedance pressure. The exceedance curve of the pressure provides risk-based information for determining the design pressure based on risk acceptance criteria, which may vary with different points of view. Keywords: LNG fuel gas supply system; Monte Carlo simulation; Availability; Dynamic process simulation; Pressure profile; Risk-based design (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:129:y:2014:i:c:p:76-82 DOI: 10.1016/j.ress.2014.04.018 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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