Modeling analysis of cobalt-based Fischer-Tropsch catalyst particles

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外文摘要：The influences of particle size, shape, and catalyst distribution on the reactivity and hydrocarbon product selectivity of a cobalt-based catalyst for Fischer-Tropsch synthesis were investigated in the present work. A self-consistent kinetic model for Fischer-Tropsch reaction proposed here was found to correlate experimental data well and hence was used to describe the consumption rates of reactants and for-mation rates of hydrocarbon products. The perturbed-chain statistical associating fluid theory equation of state was used to describe vapor-liquid equilibrium behavior associated with Fischer-Tropsch reac-tion. Local interaction between intraparticle diffusion and Fischer-Tropsch reaction was investigated in detail. Results showed that in order to avoid the adverse influence of intraparticle diffusional limitations on catalyst reactivity and product selectivity, the use of small particles is necessary. Large eggshell spherical particles are shown to keep the original catalyst reactivity and enhance the selectivity of heavy hydrocarbon products. The suitable layer thickness for a spherical particle with a diameter of 2 mm is nearly 0.15 mm. With the same outer diameter of 2 mm, the catalyst reactivity and heavy product selectivity of hollow cylindrical particles with a layer thickness of 0.25 mm are found to be larger than eggshell spherical particles. From the viewpoint of catalytic performance, hollow cylindrical particles are a better choice for industrial applications.

外文关键词：

Fischer-Tropsch synthesisKinetic modelingVapor-liquid equilibriaNumerical simulationIntraparticle diffusionParticle shapes

作者：

Huashuai Wu、Gang Wang、Yong Yang、Yongwang Li

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作者单位：

College of Chemical Engineering and Technology, Taiyuan University of Technology, Taiyuan 030024, China

National Energy Research&Development Center for Coal to Liquid Fuels, Synfuels China Company, Limited, Beijing 101400, China

基金：

National Natural Science Foundation of ChinaNational Key Research&Development Program of ChinaInner Mongolia Science and Technology Agency ProgramShanxi Province Natural Science Foundation

项目编号：

219082342020YFB06064042019CG058202103021223063

出版年：

2024

DOI：

10.1016/j.cjche.2024.02.010

中国化学工程学报(英文版)

中国化工学会

中国化学工程学报(英文版)

CSTPCDEI

影响因子：0.818

ISSN：1004-9541

年,卷(期)：2024.70(6)