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Article

Computational Fluid Dynamics Modelling of Fixed-Bed Reactors Using Particle-Resolved Approach

by
Cai Xu
1,†,
Feng Ju
2,†,
Xiaofan Zheng
3,
Yujia Liu
1,
Jialong Huang
1,
Gaoyang Li
1,
Yongshuai Li
2,
Litao Zhu
3,*,
Lei Ye
2,* and
Hui Pan
1,*
1
Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China
2
State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
3
College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work and should be considered co-first authors.
Processes 2025, 13(6), 1820; https://doi.org/10.3390/pr13061820
Submission received: 8 May 2025 / Revised: 2 June 2025 / Accepted: 6 June 2025 / Published: 8 June 2025
(This article belongs to the Section Chemical Processes and Systems)

Abstract

Traditional designs often ignore the effect of catalyst particle shape, which suffers from capturing detailed local flow hydrodynamics, mass transport and reaction behaviors, and further significantly affects reactor phenomena. This study aims to perform particle-resolved computational fluid dynamics (CFD) simulations to investigate the influence of operating conditions and various catalyst particle shapes on fixed-bed reactor performance. Three important industrial reaction systems, including methanol to dimethyl ether, CO2 hydrogenation to methanol, and levulinic acid esterification, are discussed in fixed-bed reactors. The numerical results demonstrate that reactor performance varies from the important interactive contributions of hydrodynamics characteristics and reaction behaviors. Specifically, exothermic reactions such as methanol to dimethyl ether and CO2 hydrogenation to methanol are characterized by a gradual increase in temperature along the reactor height, while endothermic reactions such as valeric acid esterification exhibit a gradual decrease in temperature along the reactor height. For the methanol to dimethyl ether system, the increase in operating temperature leads to a decrease in axial methanol concentration, as well as an improvement in axial dimethyl ether concentration. However, the change in methanol molar concentration has little influence on its conversion. Furthermore, reactor phenomena strongly vary from the different catalyst shapes. The numerical results demonstrate that the fixed bed with hollow cylinders facilitates a more uniform flow distribution, whereas the fixed bed with solid cylinders achieves higher conversion rates within a specific temperature range (483.15 K to 523.15 K). This research provides valuable insights for fixed-bed reactor optimized design, emphasizing the need for precise control over temperature, feed rate, and catalyst configuration to improve reactant conversion in industrial applications.
Keywords: computational fluid dynamics; fixed-bed reactor; particle-resolved approach computational fluid dynamics; fixed-bed reactor; particle-resolved approach

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MDPI and ACS Style

Xu, C.; Ju, F.; Zheng, X.; Liu, Y.; Huang, J.; Li, G.; Li, Y.; Zhu, L.; Ye, L.; Pan, H. Computational Fluid Dynamics Modelling of Fixed-Bed Reactors Using Particle-Resolved Approach. Processes 2025, 13, 1820. https://doi.org/10.3390/pr13061820

AMA Style

Xu C, Ju F, Zheng X, Liu Y, Huang J, Li G, Li Y, Zhu L, Ye L, Pan H. Computational Fluid Dynamics Modelling of Fixed-Bed Reactors Using Particle-Resolved Approach. Processes. 2025; 13(6):1820. https://doi.org/10.3390/pr13061820

Chicago/Turabian Style

Xu, Cai, Feng Ju, Xiaofan Zheng, Yujia Liu, Jialong Huang, Gaoyang Li, Yongshuai Li, Litao Zhu, Lei Ye, and Hui Pan. 2025. "Computational Fluid Dynamics Modelling of Fixed-Bed Reactors Using Particle-Resolved Approach" Processes 13, no. 6: 1820. https://doi.org/10.3390/pr13061820

APA Style

Xu, C., Ju, F., Zheng, X., Liu, Y., Huang, J., Li, G., Li, Y., Zhu, L., Ye, L., & Pan, H. (2025). Computational Fluid Dynamics Modelling of Fixed-Bed Reactors Using Particle-Resolved Approach. Processes, 13(6), 1820. https://doi.org/10.3390/pr13061820

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