Assessment of different chemistry reduction methods based on principal component analysis: Comparison of the MG-PCA and score-PCA approaches

被引:28
|
作者
Coussement, Axel [1 ]
Isaac, Benjamin J. [1 ,4 ]
Gicquel, Olivier [2 ,3 ]
Parente, Alessandro [1 ]
机构
[1] Univ Libre Bruxelles, Ecole Polytech Bruxelles, Aerothermomech Lab, Brussels, Belgium
[2] Ecole Cent Paris, Grande Voie Vignes, F-92295 Chatenay Malabry, France
[3] CNRS, UPR 288, Lab Energet Mol & Macroscop C, Combust, Grande Voie Vignes, F-92295 Chatenay Malabry, France
[4] Univ Utah, Dept Chem Engn, Salt Lake City, UT 84112 USA
关键词
Low-dimensional manifolds; Principal component analysis; Reacting flows; Reduced-order models; NUMERICAL-SIMULATION; COMBUSTION; IDENTIFICATION; FLOWS; MODEL;
D O I
10.1016/j.combustflame.2016.03.021
中图分类号
O414.1 [热力学];
学科分类号
摘要
Two families of PCA based combustion model were recently developed: score-PCA and MG-PCA. This paper presents the first comparative study of the two aftermentioned methods. Both methods are first benchmarked on 1-D laminar flames of hydrogen-air and syngas-air, to verify the consistency of the approaches. The sensitivity to differential diffusion is carefully addressed and a rotation technique is proposed, to allow for using score-PCA with differential diffusion. Then, 2-D flame-turbulence interactions are considered, spanning a wide range of velocity and length scale ratios, to demonstrate the ability of PC-based combustion models to efficiently capture the behavior of different combustion regimes, from flamelet-like flames to distributed reaction regimes. (C) 2016 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:83 / 97
页数:15
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