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: 6029
Citations: Bibtex RefMan EndNote GB/T7714
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",
volume="18",
number="7",
pages="511-530",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1600636"
}
%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
TY - JOUR
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
Abstract: 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.
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