LNG pool fire simulation for domino effect analysis

Muhammad Masum Jujuly, Azizur Rahaman, Salim Ahmed, Faisal Khan

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number5245
Pages (from-to)19-29
Number of pages11
JournalReliability Engineering and System Safety
Volume143
DOIs
Publication statusPublished - 17 Aug 2015
Externally publishedYes

Fingerprint

Natural Gas
Liquefied natural gas
Computational Fluid Dynamics
Computational fluid dynamics
Fires
Simulation
Radiation
Experimental Data
Process Industry
Thermal Radiation
Reynolds Equation
Risk Analysis
ANSYS
Wind Speed
Heat radiation
Risk analysis
Fluid Model
Soot
Fluid Dynamics
Fluid dynamics

Keywords

  • Computational fluid dynamics (CFD)
  • Domino effect
  • Liquefied natural gas (LNG)
  • Pool fire

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

LNG pool fire simulation for domino effect analysis. / Masum Jujuly, Muhammad; Rahaman, Azizur; Ahmed, Salim; Khan, Faisal.

In: Reliability Engineering and System Safety, Vol. 143, 5245, 17.08.2015, p. 19-29.

Research output: Contribution to journalArticle

Masum Jujuly, Muhammad ; Rahaman, Azizur ; Ahmed, Salim ; Khan, Faisal. / LNG pool fire simulation for domino effect analysis. In: Reliability Engineering and System Safety. 2015 ; Vol. 143. pp. 19-29.
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