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Title: Modeling soot formation from solid complex fuels

Abstract

A detailed model is proposed for predicting soot formation from complex solid fuels. The proposed model resolves two particle size distributions, one for soot precursors and another for soot particles. The precursor size distribution is represented with a sectional approach while the soot particle-size distribution is represented with the method of moments and an interpolative closure method is used to resolve fractional methods. Based on established mechanisms, this model includes submodels for precursor coagulation, growth, and consumption, as well as soot nucleation, surface growth, agglomeration, and consumption. The model is validated with comparisons to experimental data for two systems: coal combustion over a laminar flat-flame burner and biomass gasification. Here, results are presented for soot yield for three coals at three temperatures each, and for soot yield from three types of biomass at two temperatures each. Finally, these results represent a wide range of fuels and varying combustion environments, demonstrating the broad applicability of the model.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3]
  1. Brigham Young Univ., Provo, UT (United States). Dept. of Chemical Engineering; Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Brigham Young Univ., Provo, UT (United States). Dept. of Chemical Engineering
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1463558
Report Number(s):
LA-UR-18-21447
Journal ID: ISSN 0010-2180
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Combustion and Flame
Additional Journal Information:
Journal Volume: 196; Journal Issue: C; Journal ID: ISSN 0010-2180
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; 09 BIOMASS FUELS; Energy Sciences; soot formation coal and biomass combustion method of moments

Citation Formats

Josephson, Alexander J., Linn, Rod R., and Lignell, David O. Modeling soot formation from solid complex fuels. United States: N. p., 2018. Web. doi:10.1016/j.combustflame.2018.06.020.
Josephson, Alexander J., Linn, Rod R., & Lignell, David O. Modeling soot formation from solid complex fuels. United States. doi:10.1016/j.combustflame.2018.06.020.
Josephson, Alexander J., Linn, Rod R., and Lignell, David O. Sun . "Modeling soot formation from solid complex fuels". United States. doi:10.1016/j.combustflame.2018.06.020. https://www.osti.gov/servlets/purl/1463558.
@article{osti_1463558,
title = {Modeling soot formation from solid complex fuels},
author = {Josephson, Alexander J. and Linn, Rod R. and Lignell, David O.},
abstractNote = {A detailed model is proposed for predicting soot formation from complex solid fuels. The proposed model resolves two particle size distributions, one for soot precursors and another for soot particles. The precursor size distribution is represented with a sectional approach while the soot particle-size distribution is represented with the method of moments and an interpolative closure method is used to resolve fractional methods. Based on established mechanisms, this model includes submodels for precursor coagulation, growth, and consumption, as well as soot nucleation, surface growth, agglomeration, and consumption. The model is validated with comparisons to experimental data for two systems: coal combustion over a laminar flat-flame burner and biomass gasification. Here, results are presented for soot yield for three coals at three temperatures each, and for soot yield from three types of biomass at two temperatures each. Finally, these results represent a wide range of fuels and varying combustion environments, demonstrating the broad applicability of the model.},
doi = {10.1016/j.combustflame.2018.06.020},
journal = {Combustion and Flame},
number = C,
volume = 196,
place = {United States},
year = {2018},
month = {7}
}

Journal Article:
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