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LNG pool fire simulation for domino effect analysis

Author

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  • Masum Jujuly, Muhammad
  • Rahman, Aziz
  • Ahmed, Salim
  • Khan, Faisal

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.

Suggested Citation

  • Masum Jujuly, Muhammad & Rahman, Aziz & Ahmed, Salim & Khan, Faisal, 2015. "LNG pool fire simulation for domino effect analysis," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 19-29.
    • Handle: RePEc:eee:reensy:v:143:y:2015:i:c:p:19-29
    DOI: 10.1016/j.ress.2015.02.010
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    Citations

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    Cited by:

    1. Yang, Ruochen & Khan, Faisal & Neto, Eugenio Turco & Rusli, Riza & Ji, Jie, 2020. "Could pool fire alone cause a domino effect?," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Lan, Meng & Gardoni, Paolo & Qin, Rongshui & Zhang, Xiao & Zhu, Jiping & Lo, Siuming, 2022. "Modeling NaTech-related domino effects in process clusters: A network-based approach," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Amin, Md. Tanjin & Scarponi, Giordano Emrys & Cozzani, Valerio & Khan, Faisal, 2024. "Improved pool fire-initiated domino effect assessment in atmospheric tank farms using structural response," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    4. Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2019. "Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: A dynamic graph approach," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Celano, Francesca & Dolšek, Matjaž, 2021. "Fatality risk estimation for industrialized urban areas considering multi-hazard domino effects triggered by earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    6. He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "The effects of dynamic multi-hazard risk assessment on evacuation strategies in chemical accidents," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    7. Landucci, Gabriele & Necci, Amos & Antonioni, Giacomo & Argenti, Francesca & Cozzani, Valerio, 2017. "Risk assessment of mitigated domino scenarios in process facilities," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 37-53.

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