A three-equation model for the prediction of soot emissions in LES of gas turbines
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 p...
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Published in | Proceedings of the Combustion Institute Vol. 37; no. 4; pp. 5411 - 5419 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.01.2019
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 1540-7489 1873-2704 1540-7489 |
DOI: | 10.1016/j.proci.2018.05.061 |