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A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines

Fatehi, Hesameddin LU ; Wingren, Eric LU ; Lucchini, Tommaso; D'Errico, Gianluca; Karlsson, Anders; Andersson, Oivind LU and Bai, Xue Song LU (2018) In SAE Technical Papers 2018-April.
Abstract

In this paper, computation fluid dynamics (CFD) simulations are employed to describe the effect of flow parameters on the formation of soot and NOx in a heavy duty engine under low load and high load. The complexity of diesel combustion, specially when soot, NOx and other emissions are of interest, requires using a detailed chemical mechanism to have a correct estimation of temperature and species distribution. In this work, Multiple Representative Interactive Flamelets (MRIF) method is employed to describe the chemical reactions, ignition, flame propagation and emissions in the engine. A phenomenological model for soot formation, including soot nucleation, coagulation and oxidation with O2 and OH is incorporated... (More)

In this paper, computation fluid dynamics (CFD) simulations are employed to describe the effect of flow parameters on the formation of soot and NOx in a heavy duty engine under low load and high load. The complexity of diesel combustion, specially when soot, NOx and other emissions are of interest, requires using a detailed chemical mechanism to have a correct estimation of temperature and species distribution. In this work, Multiple Representative Interactive Flamelets (MRIF) method is employed to describe the chemical reactions, ignition, flame propagation and emissions in the engine. A phenomenological model for soot formation, including soot nucleation, coagulation and oxidation with O2 and OH is incorporated into the flamelet combustion model. Different strategies for modelling NOx are chosen to take into account the longer time scale for NOx formation. The numerical results are compared with experimental data to show the validity of the model for the cases under study. A good agreement is achieved between the model results and the pressure and heat release rate from the experiment. For soot and NOx, the model is able to correctly predict the trends between different cases. The effect of number of RIFs on the behaviour of the model is discussed.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
SAE Technical Papers
volume
2018-April
pages
13 pages
publisher
Society of Automotive Engineers
external identifiers
  • scopus:85045420740
ISSN
0148-7191
DOI
10.4271/2018-01-0177
language
English
LU publication?
yes
id
96802d09-ab78-4cda-8c53-9f32479bb326
date added to LUP
2018-04-24 14:21:23
date last changed
2019-02-20 11:15:04
@article{96802d09-ab78-4cda-8c53-9f32479bb326,
  abstract     = {<p>In this paper, computation fluid dynamics (CFD) simulations are employed to describe the effect of flow parameters on the formation of soot and NO<sub>x</sub> in a heavy duty engine under low load and high load. The complexity of diesel combustion, specially when soot, NO<sub>x</sub> and other emissions are of interest, requires using a detailed chemical mechanism to have a correct estimation of temperature and species distribution. In this work, Multiple Representative Interactive Flamelets (MRIF) method is employed to describe the chemical reactions, ignition, flame propagation and emissions in the engine. A phenomenological model for soot formation, including soot nucleation, coagulation and oxidation with O2 and OH is incorporated into the flamelet combustion model. Different strategies for modelling NO<sub>x</sub> are chosen to take into account the longer time scale for NO<sub>x</sub> formation. The numerical results are compared with experimental data to show the validity of the model for the cases under study. A good agreement is achieved between the model results and the pressure and heat release rate from the experiment. For soot and NO<sub>x</sub>, the model is able to correctly predict the trends between different cases. The effect of number of RIFs on the behaviour of the model is discussed.</p>},
  author       = {Fatehi, Hesameddin and Wingren, Eric and Lucchini, Tommaso and D'Errico, Gianluca and Karlsson, Anders and Andersson, Oivind and Bai, Xue Song},
  issn         = {0148-7191},
  language     = {eng},
  month        = {01},
  pages        = {13},
  publisher    = {Society of Automotive Engineers},
  series       = {SAE Technical Papers},
  title        = {A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines},
  url          = {http://dx.doi.org/10.4271/2018-01-0177},
  volume       = {2018-April},
  year         = {2018},
}