A fully automatic procedure for the analytical reduction of chemical kinetics mechanisms for Computational Fluid Dynamics applications

被引:51
|
作者
Cazeres, Quentin [1 ]
Pepiot, Perrine [2 ]
Riber, Eleonore [1 ]
Cuenot, Benedicte [1 ]
机构
[1] CERFACS, 42 Ave Gaspard Coriolis, F-31057 Toulouse 01, France
[2] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
基金
欧盟地平线“2020”;
关键词
Chemical kinetics reduction; ARCANE; Analytically reduced chemistry; LARGE-EDDY SIMULATION; REDUCED MECHANISM; COMBUSTION; PREDICTION; CHEMISTRY; GAS;
D O I
10.1016/j.fuel.2021.121247
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A new software called ARCANE has been developed to address the broad need for compact, computationally efficient chemical models for reactive flow simulations. Based on a new, fully automatic and optimised multi-step reduction methodology, ARCANE's purpose is to provide a convenient and more accessible framework for the analysis and reduction of chemical kinetic mechanisms in the general context of combustion chemistry. The capabilities and performance of the methodology are demonstrated through 3 case studies. First, a classical methane/air system with and without nitrogen/oxygen chemistry is studied as a benchmark. The framework is then applied to a kerosene/air mechanism with a multi-component fuel formulation, showing the ability of the fully automatic method to handle complex chemistry. Finally, the generality of the approach is confirmed by developing reduced chemical models for a hydrocarbon steam cracking process.
引用
收藏
页数:12
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