A novel global reaction modeling approach considering the effects of pressure on pyrolysis of n-decane at supercritical pressures

被引:37
|
作者
Wang, Yusen [1 ]
Jiang, Pei-Xue [1 ]
Zhu, Yinhai [1 ]
机构
[1] Tsinghua Univ, Beijing Key Lab CO2 Utilizat & Reduct Technol, Key Lab Thermal Sci & Power Engn, Minist Educ,Dept Energy & Power Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrocarbon fuel; N-decane; Pyrolysis; Reaction model; Variable stoichiometric coefficients; Pressure effects; CFD simulation; PHASE THERMAL-DECOMPOSITION; HYDROCARBON FUEL; NORMAL-ALKANES; CRACKING; KINETICS; HEAT; PERFORMANCE; SIMULATION; MECHANISM; DODECANE;
D O I
10.1016/j.fuel.2020.119416
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
Pressure is one of the key factors in pyrolysis of hydrocarbon fuels at supercritical pressures, which changes the relation between the product distribution and fuel conversion. However, reaction model with both high accuracy and efficiency to predict pressure effects is lacking. A comprehensive experimental investigation of pressure effects on supercritical pyrolysis of n-decane in the pressure range of 3-7 MPa and temperature range of 560-670 degrees C is presented. The formation of liquid products is preferred at higher pressures. Gas and liquid products of n-decane pyrolysis can be categorized into three and four types, respectively, according to the formation characteristics. Results show that pressure had more profound effects on the formation of most products without C-C double bonds or benzene rings in their molecular structures (i.e., C-3-C-9 n-paraffins or cycloparaffins). A novel global reaction modeling approach was presented to solve the effects of both pressure and secondary reactions on pyrolysis of hydrocarbon fuels, in which the stoichiometric coefficients of each product are expressed as binary functions of fuel conversion and pressure. The proposed model was implemented in a computational fluid dynamics (CFD) simulation to predict the n-decane pyrolysis coupled with flow and heat transfer. The results show that the model predicts n-decane pyrolysis more accurately at both low and high pressures. This study can help design regenerative cooling systems with high accuracy and efficiency for engineering applications.
引用
收藏
页数:17
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