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Related Experiment Videos

Consequence modeling using the fire dynamics simulator.

Noah L Ryder1, Jason A Sutula, Christopher F Schemel

  • 1Packer Engineering Inc., 6700 Alexander Bell Drive, Suite 100, Columbia, MD 21046, USA. nryder@packereng.com

Journal of Hazardous Materials
|November 3, 2004
PubMed
Summary
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Computational Fluid Dynamics (CFD) using Large Eddy Simulation (LES) effectively models fires. The Fire Dynamics Simulator (FDS) code demonstrates accurate predictions for fire and explosion risks in process safety applications.

Area of Science:

  • Computational Fluid Dynamics (CFD)
  • Fire Dynamics Simulation (FDS)
  • Large Eddy Simulation (LES)

Background:

  • Computational Fluid Dynamics (CFD) and Large Eddy Simulation (LES) codes are valuable tools for modeling fire phenomena.
  • Predicting large-scale fire effects like plume characteristics, combustion product dispersion, and heat transfer is crucial for safety.
  • The Fire Dynamics Simulator (FDS), an LES code from NIST, offers potential for process safety applications.

Purpose of the Study:

  • To illustrate the capabilities of the Fire Dynamics Simulator (FDS) code.
  • To validate FDS performance through comparisons with experimental fire data.
  • To demonstrate FDS applicability to process safety concerns, including fire and explosion risk assessment.

Main Methods:

Related Experiment Videos

  • Utilized Large Eddy Simulation (LES) with the Fire Dynamics Simulator (FDS) code.
  • Modeled two fire experiments: a small room fire and a large pool fire.
  • Developed process safety models for a tank farm fire and a gaseous fuel ignition in a confined space.

    • Main Results:

    • FDS model results showed good agreement with experimental data for both small and large-scale fires.
    • Accurate prediction of gas dispersion was achieved in a propane ignition simulation.
    • FDS demonstrated effectiveness in modeling fire and explosion scenarios for risk evaluation.

    Conclusions:

    • FDS is well-suited for creating realistic models of process geometries to evaluate fire and explosion risks.
    • FDS offers advantages over traditional CFD codes, including transient solutions on less sophisticated hardware and longer simulation times.
    • FDS provides efficient analysis and visualization of results within a PC environment, despite potential trade-offs in grid resolution or sub-grid modeling.