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

This work presents 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 2020-01, Vol.24 (1), p.15-40
Main Authors: Josephson, Alexander J., Hopkins, Emily M., Lignell, David O., Linn, Rod R.
Format: Article
Language:English
Subjects:
biomass
Bulk density
Coagulation
coal
Complexity
Computer simulation
Fuel systems
Nucleation
Simulation
Solid fuels
Soot
Surface reactions
Systems analysis
Tars
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Summary:This work presents 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. Results are promising and show a meaningful reduction in model complexity and computational cost while still giving comparable results.
ISSN:1364-7830
1741-3559
DOI:10.1080/13647830.2019.1656823