Optimization of injection strategy to reduce fuel consumption for stoichiometric diesel combustion

被引:12
|
作者
Kim, Daesik [2 ]
Park, Sungwook [1 ]
机构
[1] Hanyang Univ, Dept Mech Engn, Seoul 133791, South Korea
[2] Gangneung Wonju Natl Univ, Sch Mech & Automot Engn, Wonju 220711, Gangwon, South Korea
基金
新加坡国家研究基金会;
关键词
Optimization of injection strategy; Genetic algorithm; KIVA code; Stoichiometric diesel combustion;
D O I
10.1016/j.fuel.2011.08.067
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
In the present study, optimization of engine operating conditions was performed to reduce fuel consumption for stoichiometric diesel combustion. Microgenetic algorithms were used, and variations of injection strategy, spray included angle, and initial conditions (such as temperature and pressure) were evaluated. The KIVA code, coupled with the Chemkin chemistry solver, was used for three-dimensional CFD modeling, and the ignition and combustion processes were modeled using a reduced n-heptane mechanism. The KIVA code in use was verified against pressure histories and emissions for stoichiometric diesel combustion obtained experimentally. Optimized engine operating conditions for minimum fuel consumption were found at the 43rd generation. The optimized case includes 50-50% split injection, reduced spray included for reduction of unburned HC in crevices, and lower oxygen concentration to retard combustion phasing. This optimization yielded an 11.8% improvement in fuel consumption, along with simultaneous reductions of soot, NOx, CO, and HC. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:229 / 237
页数:9
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