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Reduction of a detailed soot model for simulations of pyrolysing solid fuels

Here, we introduce a computationally inexpensive soot formation model for use in simulating large solid-complex fuel systems. The proposed model evaluates three variables: number density of tars, bulk mass density of soot particles, and particle number density. Each of these variables are influenced...

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Bibliographic Details
Published in:Combustion theory and modelling 2019-08, Vol.24 (1)
Main Authors: Josephson, Alexander J., Hopkins, Emily M., Lignell, David O., Linn, Rod R.
Format: Article
Language:English
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Summary:Here, we introduce a computationally inexpensive soot formation model for use in simulating large solid-complex fuel systems. The proposed model evaluates three variables: number density of tars, bulk mass density of soot particles, and particle number density. Each of these variables are influenced by soot formation phenomena, and this model evaluates the most common of these phenomena: soot nucleation, surface reactions, and coagulation. Two separate simulations were carried out using this model and results were compared against simulations using a more detailed and computationally expensive model. Findings are promising and show a meaningful reduction in model complexity and computational cost while still giving comparable results.
ISSN:1364-7830
1741-3559