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

Reliability Engineering and System Safety

Volumn 129, Issue , 2014, Pages 76-82

  Noh, Yeelyong ^a   Chang, Kwangpil ^b   Seo, Yutaek ^a   Chang, Daejun ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Hyundai Heavy Industries   (South Korea)

Author keywords

Availability; Dynamic process simulation; LNG fuel gas supply system; Monte Carlo simulation; Pressure profile; Risk based design

Indexed keywords

AVAILABILITY; COMPUTER SIMULATION; DESIGN; FUEL TANKS; LIQUEFIED NATURAL GAS; PRESSURE; REPAIR;

DYNAMIC PROCESS SIMULATION; LNG FUEL; MONTE-CARLO SIMULATIONS; PRESSURE PROFILES; PROCESS SIMULATIONS; RISK ACCEPTANCE CRITERIA; RISK-BASED DESIGN; TRANSIENT PRESSURES;

MONTE CARLO METHODS;

EID: 84901316591     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2014.04.018     Document Type: Article

References (18)

1. DNV (Det Norske Veritas). Greener shipping in North America. Det Norske Veritas; February 2011
2. Seo S. A pump-free pressure boosting system for LNG fuel gas supply system [Master's thesis]. Division of Ocean Systems Engineering, KAIST, Republic of Korea; 2012.
3. IMO. Interim guidelines on safety for natural gas-fuelled engine installations in ships, Resolution MSC.285(86), ANNEX 11; 2009.
4. IMO. IGC Code: International code for the construction and equipment of ships carrying liquefied gases in bulk; 2008.
5. S. Karlsson, and L. Sonzio Enabling the safe storage of gas onboard ships with the Wärtsilä LNGPac WÄRTSILÄ Tech J 2010 52 56
6. ASME. Boiler and pressure vessel code; 2010.
7. E. Zio, P. Baraldi, and E. Patelli Assessment of the availability of an offshore installation by Monte Carlo simulation Int J Press Vessels Pip 83 2006 312 320
8. T. Aven On performance measures for multistate monotone systems Reliab Eng Syst Saf 41 1993 259 266
9. A. Lisnianski, and G. Levitin Multi-state system reliability: assessment, optimization and applications 2003 World Scientific
10. K.P. Chang, D. Chang, and Zio Enrico Application of Monte Carlo simulation for the estimation of production availability in offshore installations J. Faulin, A. Juan, S. Martorell, J.E. Ramírez- Márquez, Simulation methods for reliability and availability of complex systems 2010 Springer London, Dordrecht, Heidelberg, New York 233 252
11. A. Dubi Monte Carlo applications in systems engineering 1999 Wiley Hoboken, NJ, USA
12. Marseguerra M., Zio E. Basics of the Monte Carlo method with application to system reliability. LiLoLe-Verlag, Hagen, Germany, 2002.
13. A. Crespo Marquez, A. Sánchez Heguedas, and B. Iung Monte Carlo-based assessment of system availability: a case study for cogeneration plants Reliab Eng Syst Saf 88 2005 273 289 (Pubitemid 40415375)
14. P.E. Labeau, and E. Zio Procedures of Monte Carlo transport simulation for applications in system engineering Reliab Eng Syst Saf 77 2002 217 228 (Pubitemid 34946907)
15. J. Ramireze-Marquez, and D. Coit A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability Reliab Eng Syst Saf 87 2005 253 264
16. E. Zio, M. Marella, and L. Podofillini A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies Reliab Eng Syst Saf 92 2007 871 882 (Pubitemid 46341779)
17. Offshore reliability (OREDA) handbook 5th ed. 2009 Det Norske Veritas Høvik
18. M. Rausand, and A. Hoyland System reliability theory: models, statistical methods, and application 2nd ed. 2004 Wiley-Interscience Hoboken, NJ, USA