Application of CFD to improve calculated process of methanation over plum-shaped catalyst

ZHANG Jie; LI Tao

doi:10.11949/j.issn.0438-1157.20180104

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Application of CFD to improve calculated process of methanation over plum-shaped catalyst

更新时间：2025-12-10

- Application of CFD to improve calculated process of methanation over plum-shaped catalyst
- CIESC Journal Issue 7, Pages: 2985-2992(2018)
- 作者机构：
  
  华东理工大学大型反应器工程教育部工程研究中心,上海,200237
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20180104
  CLC： Q021.4
- Online First：05 July 2018，
  
  Published：05 July 2018
- 稿件说明：
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ZHANG Jie, LI Tao. Application of CFD to improve calculated process of methanation over plum-shaped catalyst[J]. CIESC Journal, 2018, (7): 2985-2992.
DOI：

ZHANG Jie, LI Tao. Application of CFD to improve calculated process of methanation over plum-shaped catalyst[J]. CIESC Journal, 2018, (7): 2985-2992. DOI： 10.11949/j.issn.0438-1157.20180104.

摘要

对合成气甲烷化反应体系进行CFD（计算流体动力学）计算，并对模型提出合理的改进。通过建立合理的甲烷化梅花状催化剂颗粒三维模型进行计算，并验证了模型的有效性。结果表明：甲烷化反应内扩散阻力很大，CO在催化剂表面与内部存在明显的浓度差。且H2与CO扩散速率不同，导致催化剂内部的氢碳比很高，内部的反应条件与催化剂表面相比发生改变，使用单一的动力学方程无法准确描述实际的反应过程。因此，提出对催化剂的不同区域分别讨论，根据催化剂内CO含量的变化将两种不同的动力学方程分别应用在催化剂的不同区域。计算后发现采用两种动力学控制下催化剂内甲烷化反应的平均反应速率加快，反应进行的程度变大，更加接近实际过程，提高了计算的精确性。

Abstract

The simulation of methanation process is studied by CFD

and makes reasonable improvement to the model. The three-dimensional model of methanation reaction on the plum-shaped catalyst was established and the validity of the model was verified. Due to strong diffusion limitations the CO concentration of catalyst particles has great difference between the internal and external. Inside the catalyst

reaction conditions are changed to be a high H/C value. The diffusion rate of H2 is larger than CO. A single kinetics can't describe the reaction accurately. The catalyst domain is divided into two parts according to the variety of CO concentration in catalyst

and different kinetics is applied into the corresponding domain. Under the control of two kinetics

the average reaction rate of methanation has been accelerated

which is closer to the actual process and show that the new model is more accurate.

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