Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization

被引:17
|
作者
Kumar, V. [1 ]
Balasubramanian, P. [1 ]
机构
[1] Indian Inst Technol, Dept Chem Engn, Gauhati 781039, India
关键词
Hydrocracking; Continuous lumping model; Particle swarm optimization; EVENT RATE PARAMETERS; GENETIC ALGORITHM; MODERATE HYDROCRACKING; MODEL; FRAGMENTATION; OIL; CATALYSTS; ALKANES;
D O I
10.1016/j.fuel.2009.05.004
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
This paper provides a continuous lumping model for hydrocracking using molecular weight and true boiling point as the basis. Isomerization and cracking are the two typical global reactions which occur on acid sites of a bifunctional acid-metal hydrocracking catalyst. The latter reaction is considered to model the hydrocracking process. It is assumed that the rate coefficient of the cracking reactions depend on the size of the feed hydrocarbons. The kinetic parameters involved in the continuous lumping model are estimated by using a hybrid particle swarm optimization method. The proposed kinetic methodology is validated with the experimental data cited in the literature. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2171 / 2180
页数:10
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