A three-equation model for the prediction of soot emissions in LES of gas turbines

被引：24
|
作者：
Franzelli, B. [1 ]
Vie, A. [1 ]
Darabiha, N. [1 ]
机构：
[1] Univ Paris Saclay, Cent Supelec, CNRS, Lab EM2C, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
来源：
PROCEEDINGS OF THE COMBUSTION INSTITUTE | 2019年 / 37卷 / 04期
关键词：
Soot modeling; Three-equation model; Particle size distribution; Gas turbine; PARTICLE-SIZE DISTRIBUTION; METHODOLOGY; INTEGRATION; CHEMISTRY; MECHANISM; EVOLUTION;
D O I：
10.1016/j.proci.2018.05.061
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The design of new low-emission systems requires the development of models providing an accurate prediction of soot production for a small computational cost. In this work, a three-equation model is developed based on mono-disperse closure of the source terms from a sectional method. In addition, a post-processing technique to estimate the particles size distribution (PSD) from global quantities is proposed by combining Pareto and log-normal distributions. After validation, the developed strategy is used to perform a large eddy simulation of soot production in a model combustor representative of gas turbine combustion chambers. It is shown that the three-equation model is able to provide a good estimation of soot volume fraction and information on PSD in complex geometries for a low computational time. (C) 2018 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：5411 / 5419
页数：9
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