CFD simulation of the ethylbenzene dehydrogenation reaction in the fixed bed reactor with a cylindrical catalyst of various sizes

IF 1 Q4 ENGINEERING, CHEMICAL
S. Solovev, O. Soloveva, D. L. Paluku, A. Lamberov
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引用次数: 6

Abstract

Abstract In this paper, the Discrete Element Method of simulation was used to study the catalytic granule size effect on the efficiency of a bed reactor for the ethylbenzene dehydrogenation reaction. The model constructed for the laboratory experiment was made of catalyst granules of lengths 3, 6 and 9 mm, and diameters 2.8, 3, and 3.2 mm. A detailed evaluation of the catalyst total surface area and porosity effect was conducted owing to the analysis of particles size effect on the packing. Different results were observed for a wide feed gas mixture rate. Calculations performed allowed to deduce dependences of the reaction product concentration, the pressure drops, and the reactor productivity for all the particle sizes investigated.
不同尺寸圆柱形催化剂固定床反应器中乙苯脱氢反应的CFD模拟
摘要本文采用离散元模拟方法研究了催化颗粒尺寸对乙苯脱氢反应床反应器效率的影响。为实验室实验构建的模型由长度为3、6和9mm、直径为2.8、3和3.2mm的催化剂颗粒制成。通过分析颗粒尺寸对填料的影响,对催化剂总表面积和孔隙率效应进行了详细评估。对于宽进料气体混合速率,观察到不同的结果。所进行的计算可以推导出所研究的所有颗粒尺寸的反应产物浓度、压降和反应器生产率的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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