Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization

V. Kumar; P. Balasubramanian

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Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization

机译：基于混合粒子群算法的加氢裂化动力学参数估计。

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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.

机译：本文以分子量和真实沸点为基础，为加氢裂化提供了连续集总模型。异构化和裂化是在双官能酸金属加氢裂化催化剂的酸性位点发生的两个典型的整体反应。考虑后者的反应以模拟加氢裂化过程。假定裂化反应的速率系数取决于进料烃的大小。通过使用混合粒子群优化方法来估计连续集总模型中涉及的动力学参数。文献中引用的实验数据验证了所提出的动力学方法。

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《Fuel》 |2009年第11期|2171-2180|共10页
作者
V. Kumar; P. Balasubramanian;
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作者单位

Department of Chemical Engineering, Indian Institute of Technology, Guwahati 781 039, India;

Department of Chemical Engineering, Indian Institute of Technology, Guwahati 781 039, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
hydrocracking; continuous lumping model; particle swarm optimization;

机译：加氢裂化连续集总模型粒子群优化;

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Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization

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