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Fire Smoke Transport and Opacity Reduced-Order Model (Fire-STORM): A New Computer Model for High-Rise Fire Smoke Simulations

  • Serhat Bilyaz
  • Ofodike A. EzekoyeEmail author
Article

Abstract

The problem of smoke spread through elevator shafts in high rise buildings is analyzed theoretically and numerically in this paper. While experiments and computational fluid dynamics (CFD) models have been used for such exercises, there is a need for fast reduced-order models for such scenarios. Towards this goal, a transient network model called High-rise fire smoke transport and opacity reduced-order model (Fire-STORM) was developed to investigate heat and mass transfer through the elevator shaft during fires. The model numerically solves the coupled set of differential equations of the fire floor in conjunction with the steady state conservation equations of the elevator shaft. The model is validated in two stages. First, the stack effect in a non-fire scenario is analyzed. Pressure differences through exterior doors and elevator doors are compared with experimental data available in the literature and results of a computational fluid dynamics tool. Then, a first-floor fire scenario is considered for the same high-rise building in four different cases which are combinations of different building tightness and ambient temperatures. The results are compared with CFD simulations. For the four different building envelope and ambient thermal conditions, the soot mass fractions and optical visibilities were calculated and compared to CFD predictions. Overall, Fire-STORM is a simple and fast tool to model the evolution of heat and mass transfer in a high-rise building affected by fire. While Fire-STORM is excellent in predicting transient smoke transport for buildings with loose envelopes, it should be used with caution for buildings with tight envelopes since the errors for these cases are relatively high. Despite this, the relative computational speed difference between Fire-STORM and the CFD model highlights the utility of a reduced-order model for firefighter decision making and building control system design.

Keywords

Fire Smoke High-rise CFD Model Transport Opacity 

List of symbols

\( \alpha \)

Thermal diffusivity

\( \alpha_{f} \)

Fire growth rate

\( C_{d} \)

Discharge coefficient

\( c_{p} \)

Constant pressure specific heat

\( c_{v} \)

Constant volume specific heat

\( \delta_{p} \)

Thermal penetration depth

\( g \)

Gravity

\( H \)

Room height

\( h_{c} \)

Convective heat transfer coefficient

\( h_{r} \)

Radiative heat transfer coefficient

\( h_{t} \)

Total heat transfer coefficient

\( \Delta h_{c} \)

Heat of combustion

\( k \)

Thermal conductivity

\( K \)

Discharge loss coefficient

Kl

Light extinction coefficient

Km

Mass extinction coefficient

\( \dot{m} \)

Mass flow rate

Nelev

Number of elevator shafts

ν

Kinematic viscosity

Nu

Nusselt Number

R

Gas constant

P

Pressure

\( \Delta P \)

Pressure difference

\( Pr \)

Prandtl number

\( \dot{Q} \)

Heat transfer rate

\( \rho \)

Density

\( Re_{D} \)

Reynolds number

T

Temperature

\( T_{w} \)

Wall temperature

\( \sigma \)

Stefan Boltzmann constant

t

Time

\( \chi_{s} \)

Soot yield

Ysoot

Soot mass fraction

Vis

Visibility

\({\dot{\forall}} \)

Volumetric flow rate

Subscripts

atm

Atmosphere

b

Building

elev

Elevator

env

Building envelope

f

Floor

ff

Fire floor

\( HRR \)

Heat release rate

L1

1st floor

L17

17th floor

out

Outside

ovr

Overall

ref

Reference

sh

Elevator shaft

sw

Shaft wall

th

Theoretical

w

Wall

Abbreviations

\( CFD \)

Computational fluid dynamics

ELA

Effective leakage area

FDS

Fire dynamics simulator

HVAC

Heating ventilating and air conditioning

Notes

Acknowledgements

This work was funded by the Federal Emergency Management Agency’s Assistance to Fire-Fighters Grant Program under Grant EMW-2016-FP-00833. The authors thank Dr. Qize He for his comments.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringThe University of Texas at AustinAustinUSA

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