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Optimisation of smoke extraction system in fire scenarios using CFD modelling

Citation

Baalisampang, T and Saliba, E and Salehi, F and Garaniya, V and Chen, L, Optimisation of smoke extraction system in fire scenarios using CFD modelling, Process Safety and Environmental Protection, 149 pp. 508-517. ISSN 0957-5820 (2021) [Refereed Article]

Copyright Statement

Copyright 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.psep.2020.11.036

Abstract

Understanding the consequences of fuel release and fire accident is an important aspect of the design and construction of buildings and infrastructures. Particularly, an increasing number of catastrophic consequences of recent fire accidents in high-rise buildings has led to the demand for a rigorous and holistic approach for infrastructure fire safety analysis and performance evaluation. The current study proposes a framework for liquefied petroleum gas heat release simulations and modelling the visibility of evacuees on the egress path during a fire event using efficient computational fluid dynamics (CFD) model. The framework consists of scenario modelling, optimised smoke detector layout, mechanical smoke extraction system, and visibility analysis. The CFD simulation is first validated using experimental data demonstrating a very good agreement. A case study for detector layout is then considered, showing the proposed approach increases the visibility of the egress path along the corridor of a building during fuel release and fire accident. The study will offer an effective platform for modelling fire risk and assessing the performance of fire safety mechanisms in buildings which can be also beneficial to enhance urban infrastructures safety.

Item Details

Item Type:Refereed Article
Keywords:fire safety, detector layout, fire dynamics simulator (FDS), visibility assessment
Research Division:Built Environment and Design
Research Group:Design
Research Field:Data visualisation and computational (incl. parametric and generative) design
Objective Division:Energy
Objective Group:Energy efficiency
Objective Field:Energy efficiency not elsewhere classified
UTAS Author:Baalisampang, T (Mr Til Baalisampang)
UTAS Author:Garaniya, V (Dr Vikram Garaniya)
ID Code:142293
Year Published:2021
Web of Science® Times Cited:1
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2021-01-06
Last Modified:2021-05-18
Downloads:0

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