Reduction of a detailed soot model for simulations of pyrolysing solid fuels. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Josephson, Alexander J.; Hopkins, Emily M.; Lignell, David O.; Linn, Rod R.
• Is Part Of: Combustion theory and modelling. Volume 24:Issue 1(2020)
• Page Start: 15
• Page End: 40
• Publication Date: 2020-01-02
• Subjects: soot -- coal -- biomass; Combustion -- Mathematical models -- Periodicals; 541.361
• DOI: 10.1080/13647830.2019.1656823
• Languages: English
• ISSNs: 1364-7830

Abstract

Abstract : 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.