Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method

Autor:	Daejun Chang, Yeelyong Noh, Yutaek Seo, Kwangpil Chang
Rok vydání:	2014
Předmět:	Risk acceptance criteria Engineering business.industry Monte Carlo method Fuel storage Transient pressure Industrial and Manufacturing Engineering Reliability engineering Equipment failure Process simulation Safety Risk Reliability and Quality Risk based design business Randomness Simulation
Zdroj:	Reliability Engineering & System Safety. 129:76-82
ISSN:	0951-8320
DOI:	10.1016/j.ress.2014.04.018
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e1f2e4a5877bd510b05766a247ffd21c https://doi.org/10.1016/j.ress.2014.04.018 Zobrazit plný text záznamu Full Text from ScienceDirect