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Title: Modeling soot formation from solid complex fuels

Journal Article · · Combustion and Flame
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

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.

Research Organization:
Los Alamos National Laboratory (LANL)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1463558
Alternate ID(s):
OSTI ID: 1601019; OSTI ID: 1577858; OSTI ID: 1582658
Report Number(s):
LA-UR-18-21447
Journal Information:
Combustion and Flame, Journal Name: Combustion and Flame Journal Issue: C Vol. 196; ISSN 0010-2180
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

Reduction of a detailed soot model for simulations of pyrolysing solid fuels journal August 2019