The Heat Release Rate Of The Fire Predicted
By Sequential Inverse Method
Author(s)
W. S. Lee & S. K. Lee
Abstract
The sequential inverse method of locating and sizing accidental fire in a
compartment is developed in this paper. The prediction procedure in this study
includes two parts: the first is to simulate fire plume and ceiling jet flow by using
the FDS model, then the result of temperature field at specified measurement
sensors are utilized to predict the heat release rate and location of fire by the
proposed method. A few examples are used to demonstrate the efficiency of the
proposed method. The predictions show that the proposed method is capable of
estimating the transient heat release rate of fire. The accuracy of the heat release
rate of the fire is sensitive to random error and systematic error. Furthermore, the
proposed method is noniterative and cost effective.
Keywords: sequential inverse method, Large Eddy Simulation, fire detection
system.
1 Introduction
In the semiconductor manufacturing cleanroom, the processing facilities such as
wet bench, diffusion furnace may exist significant fire risks. When accidental
fire occurs in these areas the time before the fire is detected plays a crucial role
in extinguishing fire. As a result, it is necessary to automatically monitor the
working places and quickly determine the location of the fire in order to decrease
the threat to life and property. The inverse heat conduction problem (IHCP) was
used to estimate the surface heat flux, internal heat source and thermal properties
from one or more measured temperature sensors inside a heat-conducting body
Keywords
sequential inverse method, Large Eddy Simulation, fire detection
system.
Related Book
Other papers in this volume
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