Full Text:   <954>

Summary:  <230>

CLC number: TK432

On-line Access: 2017-07-04

Received: 2016-09-21

Revision Accepted: 2017-01-19

Crosschecked: 2017-06-12

Cited: 1

Clicked: 2017

Citations:  Bibtex RefMan EndNote GB/T7714


Dong-wei Yao


Hai-bin He


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Journal of Zhejiang University SCIENCE A 2017 Vol.18 No.7 P.511-530


A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel

Author(s):  Hai-bin He, Dong-wei Yao, Feng Wu

Affiliation(s):  Institute of Power Machinery and Vehicular Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   dwyao@zju.edu.cn

Key Words:  Coke oven gas (COG), Kinetic mechanism, Sensitivity analysis, Particle swarm optimization (PSO), Spark-ignition (SI) engine, Computational fluid dynamics (CFD) simulation

Hai-bin He, Dong-wei Yao, Feng Wu. A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel[J]. Journal of Zhejiang University Science A, 2017, 18(7): 511-530.

@article{title="A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel",
author="Hai-bin He, Dong-wei Yao, Feng Wu",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel
%A Hai-bin He
%A Dong-wei Yao
%A Feng Wu
%J Journal of Zhejiang University SCIENCE A
%V 18
%N 7
%P 511-530
%@ 1673-565X
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1600636

T1 - A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel
A1 - Hai-bin He
A1 - Dong-wei Yao
A1 - Feng Wu
J0 - Journal of Zhejiang University Science A
VL - 18
IS - 7
SP - 511
EP - 530
%@ 1673-565X
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1600636

A reduced and optimized kinetic mechanism was built for coke oven gas (COG) as a clean alternative vehicle fuel. This mechanism was constructed by combining a reduced methane mechanism, an optimized H2/CO mechanism, and a reduced NOx formation mechanism based on the mechanism structure for simple hydrocarbon fuels. The key reactions for combustion were investigated by a sensitivity analysis model, and the kinetic parameters of these reactions were optimized within the uncertainty range by an optimization model based on particle swarm optimization (PSO). The ignition delay time and laminar flame speed were simulated using the optimized mechanism with the software of CHEMKIN, and the results agreed well with the relevant experimental data. A computational fluid dynamics (CFD) model coupled with the optimized mechanism was established using KIVA-CHEMKIN software, and the in-cylinder combustion process was simulated. The simulation results (in-cylinder pressure and NOx emission) showed good agreement with the engine bench test results.


创新点:1. 结合敏感性分析与离子群寻优算法,对化学反应机理参数进行了优化;2. 建立了焦炉气化学反应机理,可准确仿真滞燃期、层流火焰速度、缸内压力变化和NOx生成。
方法:1. 根据简单碳氢燃料机理结构,搭建焦炉气化学反应机理(图1);2. 通过敏感性分析,获得在燃烧中起关键作用的化学反应(图2和3);3. 通过粒子群寻优算法,对上述关键化学反应的动力学参数进行优化(图4和5);4. 通过数值仿真,验证机理的准确性(图6~13、16和17)。
结论:1. 根据敏感性定义,搭建的敏感性分析模型可准确地识别在燃烧过程中起关键作用的化学反应; 2. 基于粒子群寻优算法搭建的优化模型可对化学反应的动力学参数进行合理优化;3. 优化后得到的焦炉气化学反应机理可准确预测滞燃期与层流火焰速度以及模拟内燃机缸内压力变化与NOx生成。


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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