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LNG pool fire simulation for domino effect analysis


Masum Jujuly, M and Rahman, A and Ahmed, S and Khan, FI, LNG pool fire simulation for domino effect analysis, Reliability Engineering and System Safety, 143 pp. 19-29. ISSN 0951-8320 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Elsevier Ltd.

DOI: doi:10.1016/j.ress.2015.02.010


Abstract A three-dimensional computational fluid dynamics (CFD) simulation of liquefied natural gas (LNG) pool fire has been performed using ANSYS CFX-14. The CFD model solves the fundamental governing equations of fluid dynamics, namely, the continuity, momentum and energy equations. Several built-in sub-models are used to capture the characteristics of pool fire. The Reynolds-averaged Navier-Stokes (RANS) equation for turbulence and the eddy-dissipation model for non-premixed combustion are used. For thermal radiation, the Monte Carlo (MC) radiation model is used with the Magnussen soot model. The CFD results are compared with a set of experimental data for validation; the results are consistent with experimental data. CFD results show that the wind speed has significant contribution on the behavior of pool fire and its domino effects. The radiation contours are also obtained from CFD post processing, which can be applied for risk analysis. The outcome of this study will be helpful for better understanding of the domino effects of pool fire in complex geometrical settings of process industries.

Item Details

Item Type:Refereed Article
Keywords:computational fluid dynamics (CFD), domino effect, liquefied natural gas (LNG), pool fire, dynamics, fires, fluid dynamics, gas fuel purification, lakes, liquefied natural gas, natural gas, Navier Stokes equations, risk analysis, risk assessment
Research Division:Engineering
Research Group:Fluid mechanics and thermal engineering
Research Field:Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
Objective Division:Energy
Objective Group:Processing of energy sources
Objective Field:Oil and gas processing
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120540
Year Published:2015
Web of Science® Times Cited:38
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-28
Last Modified:2017-11-03

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