Development and validation of a new soot formation model for gas turbine combustor simulations

Domenico, Massimiliano Di; Gerlinger, Peter; Aigner, Manfred

doi:10.1016/j.combustflame.2009.10.015

Cited by 60 publications

(49 citation statements)

References 45 publications

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“…In non-premixed flames, once the soot particle is incepted, it experiences the processes of aggregation, surface growth and later -oxidation. Soot particles are aggregates [9] of primary spherules and a fundamental model has to take this into account. One approach is to use the sectional method [10,11], in which the primary particles are divided into sections according to their mass [12][13][14], and aggregates are divided in a similar way according to a number of primary particles per aggregate [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Soot formation with C1 and C2 fuels using an improved chemical mechanism for PAH growth

Chernov

Thomson

Dworkin

et al. 2014

Combustion and Flame

165

110

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Recently, an improved chemical mechanism of PAH growth was developed and tested in soot computations for a laminar co-flow non-premixed ethylene-air diffusion flame. In the present work, the chemical mechanism was enhanced further to accommodate the PAH gas phase growth in methane, ethylene and ethane co-flow flames. The changes in the mechanism were tested on a methane/oxygen and two ethane/oxygen premixed flames to ensure no degradation in its application to C 2 fuels. The major soot precursors were predicted in a satisfactory matter.The robustness of the soot solution methodology was tested for different fuels by solving methane/air, ethane/air and ethylene/air co-flow laminar diffusion flames using a single solution algorithm for all three cases. The peak soot volume fractions, which varied by two orders of magnitude between fuels, were predicted within a factor of two for all flames. The computations were also able to reproduce the spatial distributions of soot and to explain the variation in soot formation pathways among the fuels. Despite a similarity in bulk properties of the flame, the soot particles in different flames exhibit significantly different growth modes.Ethylene/air flames tend to form soot earlier than methane/air flames and inception plays a bigger role in the latter.

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Section: Introductionmentioning

confidence: 99%

Soot formation with C1 and C2 fuels using an improved chemical mechanism for PAH growth

Chernov

Thomson

Dworkin

et al. 2014

Combustion and Flame

165

110

View full text Add to dashboard Cite

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“…Coagulation, ω coag , does not influence the soot mass fraction but reduces n s since small soot particles recombine to larger particles. A detailed derivation of the two-equation soot model is given by Di Domenico et al 25 and by Blacha et al 26 Since only two transport equations instead of 25 have to be solved, the two-equation soot model is more efficient than the sectional approach. However, the two-equation soot model assumes monodisperse soot particles and is not capable of resolving soot particle size distributions and thus provides a less detailed insight into the soot formation process.…”

Section: Iic Soot Modelingmentioning

confidence: 99%

Soot Predictions in an Aero-Engine Model Combustor at Elevated Pressure Using URANS and Finite-Rate Chemistry

Eberle¹,

Gerlinger²,

Geigle³

et al. 2014

50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference

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Unsteady numerical simulations of an aero-engine model combustor are presented. The combustor is fueled by ethylene instead of the more complex realistic fuel kerosene to provide well defined inflow conditions. Comprehensive validation data obtained by several laser diagnostics is available. Turbulence is treated by the SST model. A finite-rate chemistry model, where a separate transport equation is solved for each species, is applied in order to treat combustion accurately. Chemistry-turbulence interaction is modeled by an assumed probability density function model (APDF). A sectional model is applied for polycyclic aromatic hydrocarbons, while soot is modeled by a two-equation model. Velocity components and temperature are predicted with good to excellent agreement against measurements. Reasonable agreement between measured and calculated soot volume fraction is found, remaining differences are discussed by time-resolved data analysis. A proper resolution of unsteady motion is identified to be crucial for accurate soot predictions.

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“…[31][32][33] This model has more recently found application in the CFD field. 28,29,[34][35][36] Computationally less expensive than very detailed soot modeling, 37,38 the sectional approach provides a good accuracy. Di Domenico 34 used for the first time the sectional approach for the CFD simulation of soot formation in gas turbine combustors.…”

Section: Char Description With Discrete Classesmentioning

confidence: 99%

A Sectional Approach for the Entrained-Flow Gasification of Slurry Fuels

2018

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Energy densification is the overall objective of the on-going bioliq project. Bioslurry, obtained via fast pyrolysis of low-grade biogenic resources, is converted into high quality syngas in a high pressure entrained flow gasifier. The modeling of this three-phase system involving high pressure and high temperature sub-processes is very challenging. The detailed representation of the chemical sub-processes goes along with an increase of the computational cost. In this work, a novel approach is developed to achieve fast and accurate Computational Fluid Dynamics (CFD) simulations of the gasification of a slurry fuel in a laboratory entrained flow gasifier under atmospheric pressure. The method investigated relies on a sectional approach to describe the char gasification. An Euler-Euler approach is used for the modeling of the slurry/gas phase system. Ethylene glycol is used to represent the liquid part of the slurry. Experimental

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Development and validation of a new soot formation model for gas turbine combustor simulations

Cited by 60 publications

References 45 publications

Soot formation with C1 and C2 fuels using an improved chemical mechanism for PAH growth

Soot formation with C1 and C2 fuels using an improved chemical mechanism for PAH growth

Soot Predictions in an Aero-Engine Model Combustor at Elevated Pressure Using URANS and Finite-Rate Chemistry

A Sectional Approach for the Entrained-Flow Gasification of Slurry Fuels

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