Development of a Reduced n-Decane/α-Methylnaphthalene/Polycyclic Aromatic Hydrocarbon Mechanism and Its Application for Combustion and Soot Prediction

被引:20
|
作者
Qiu, Liang [1 ]
Cheng, Xiaobei [1 ]
Wang, Xin [1 ]
Li, Zhongqiu [1 ]
Li, Ying [1 ]
Wang, Zhaowen [1 ]
Wu, Hui [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Coal Combust, Sch Energy & Power Engn, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
DIESEL FUEL SURROGATE; SKELETAL MECHANISM; OXIDATION MECHANISM; KINETIC MECHANISMS; CHEMICAL MECHANISM; ENGINE; TEMPERATURE; IGNITION; MODELS; VALIDATION;
D O I
10.1021/acs.energyfuels.6b02186
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 this work, a reduced n-decane/alpha-methylnaphthalene/polycyclic aromatic hydrocarbon (PAH) kinetic mechanism for calculation of combustion and soot behavior of diesel and its surrogate fuel was developed. This mechanism consists of the pyrolysis of n-decane (C10H22) and a-methylnaphthalene (C10H7CH3), C-0-C-3 core species reaction, and the formation of initial benzene and PAHs, including 77 species and 287 reactions. The pyrolysis reaction of fuel was obtained by pathway analysis from a detailed mechanism, while the reactions of core species and PAHs were reduced by a directed relation graph with error propagation, computational singular perturbation method, and direct sensitivity analysis, sequentially. The mechanism was validated by the mole fraction of main species and key PAH species in the ethylene premixed flame, ignition delay times of pure and mixed fuel in shock tubes, and the concentrations of major species in jet-stirred reactors. Finally, the new developed mechanism was coupled with a soot phenomenological model, where A4 was employed as the precursor in soot inception, and a multi-dimensional turbulent model, to calculate the combustion and soot emission processes in a diesel engine. The pressure in the cylinder, apparent heat release rate, and normalized soot fraction were obtained in this calculation. Both the fundamental modeling and engine modeling agree well with the data from the literature.
引用
收藏
页码:10875 / 10885
页数:11
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