Estimation of Kinetic Parameters and Simulation of Methylacetylene and Propadiene Liquid-Phase Selective Hydrogenation Reactor Considering the Catalyst Deactivation

被引:2
|
作者
Ghasemigoudarzi, Pouria [1 ]
Hojjati, Mahmoud Reza [1 ]
Omidkhah, Mohammadreza [2 ]
Tavallali, Mohammad Sadegh [1 ]
机构
[1] Islamic Azad Univ, Dept Chem Engn, Shiraz Branch, Shiraz 7198774731, Iran
[2] Tarbiat Modares Univ, Dept Chem Engn, Tehran 11114115, Iran
关键词
HYBRID GENETIC ALGORITHM; OPTIMIZATION; PROPYLENE; C-3-CUT; PROPYNE; GA;
D O I
10.1021/acs.iecr.1c01593
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper presents a kinetic study of methylacetylene (MA) and propadiene (PD) liquid-phase selective hydrogenation considering catalyst deactivation. For this purpose, more than 20 000 plant operational data points were collected from two different fixed-bed reactors in an olefin plant during a 14-month run-step. Four different kinetic models were used parametrically in a dynamic reactor simulation. The genetic algorithm (GA) technique was used to estimate the kinetic constant by minimization of the mean relative error (MRE) between the simulation results and plant data. The effects of Tinlet, WHSV, H-2/MAPD, and catalyst deactivation on the reactor performance, propylene (PR) selectivity, PR yield, and other undesired products such as benzene (BZ) and toluene (TL) have been investigated. The average MRE of the reactor temperature, species molar flow, and reactor pressure drop is 3.46, 5.9, and 4.86%, respectively, indicating that the Langmuir-Hinshelwood-Hougen-Watson (LH-HW) type model with hydrogen dissociation fit the experimental data with acceptable accuracy.
引用
收藏
页码:12474 / 12491
页数:18
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