Flux Projection Tree Method for Mechanism Reduction

被引:21
作者
Liu, Ai-Ke [1 ]
Jiao, Yi [2 ]
Li, Shuhao [3 ]
Wang, Fan [2 ]
Li, Xiang-Yuan [1 ]
机构
[1] Sichuan Univ, Coll Chem Engn, Chengdu 610065, Sichuan, Peoples R China
[2] Sichuan Univ, Coll Chem, Chengdu 610064, Sichuan, Peoples R China
[3] Sichuan Univ, Sch Aeronaut & Astronaut, Chengdu 610064, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
CHEMICAL-KINETICS; PDF CALCULATIONS; COMBUSTION; IGNITION; SCHEME;
D O I
10.1021/ef5002502
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
Merits and demerits of the directed relation graph (DRG) method are analyzed. On the basis of these analyses, a flux projection tree (FPT) method for mechanism reduction is proposed. A tree-type structure is constructed in FPT based on the contribution of each species to the global flux; that is, the importance of each species is quantified by normalized projection of its participation flux vector upon the total species flux vector. Because a tree-type structure is simpler than a graph-type structure, FPT tends to be more efficient than DRG and path flux analysis (PFA) in computation. Additionally, the significance of each species in a mechanism is estimated on the basis of its contribution to the global species flux, instead of its contribution to the flux of a single species in a pre-chosen important species set, as in DRG and PFA. Thus, a reduced model obtained by FPT is more accurate in most cases. Detailed mechanisms for oxidation of ethylene, n-heptane, and PRF50 were reduced with FPT, and the reliability of the resulting skeletal mechanisms is comparable or even better than that of the skeletal mechanisms obtained by DRG or PFA with similar size. Because of its high efficiency, FPT can be used as the first-step reduction method or on-the-fly mechanism reduction approach in numerical simulations of reaction flow.
引用
收藏
页码:5426 / 5433
页数:8
相关论文
共 45 条
[1]   A comprehensive and compact n-heptane oxidation model derived using chemical lumping [J].
Ahmed, Syed Sayeed ;
Mauss, Fabian ;
Moreac, Gladys ;
Zeuch, Thomas .
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2007, 9 (09) :1107-1126
[2]   Visualization methods in analysis of detailed chemical kinetics modelling [J].
Bendtsen, AB ;
Glarborg, P ;
Dam-Johansen, K .
COMPUTERS & CHEMISTRY, 2001, 25 (02) :161-170
[3]   The influence of chemical mechanisms on PDF calculations of nonpremixed piloted jet flames [J].
Cao, RR ;
Pope, SB .
COMBUSTION AND FLAME, 2005, 143 (04) :450-470
[4]   A comprehensive modeling study of iso-octane oxidation [J].
Curran, HJ ;
Gaffuri, P ;
Pitz, WJ ;
Westbrook, CK .
COMBUSTION AND FLAME, 2002, 129 (03) :253-280
[5]  
Dijkstra E. W., 1959, NUMER MATH, V1, P269
[6]  
Glarborg P., 1986, 868209 SAND
[7]   A dynamic multi-timescale method for combustion modeling with detailed and reduced chemical kinetic mechanisms [J].
Gou, Xiaolong ;
Sun, Wenting ;
Chen, Zheng ;
Ju, Yiguang .
COMBUSTION AND FLAME, 2010, 157 (06) :1111-1121
[8]   Numerical Investigation of Homogeneous Charge Compression Ignition (HCCI) Combustion with Detailed Chemical Kinetics Using On-the-Fly Reduction [J].
He, Kaiyuan ;
Androulakis, Ioannis P. ;
Ierapetritou, Marianthi G. .
ENERGY & FUELS, 2011, 25 (08) :3369-3376
[9]   On-the-fly reduction of kinetic mechanisms using element flux analysis [J].
He, Kaiyuan ;
Androulakis, Ioannis P. ;
Ierapetritou, Marianthi G. .
CHEMICAL ENGINEERING SCIENCE, 2010, 65 (03) :1173-1184
[10]   A graph-based approach to developing adaptive representations of complex reaction mechanisms [J].
He, Kaiyuan ;
Ierapetritou, Marianthi G. ;
Androulakis, Ioannis P. .
COMBUSTION AND FLAME, 2008, 155 (04) :585-604