A numerical study of the influence of pre-wetting on the static liquid hold-up and wetting efficiency in a trickle bed reactor
Source abstract
Abstract
Trickle beds are widely used in chemical processes due to their significant advantages over other multiphase reactors. However, their operation presents challenges, primarily due to complex hydrodynamic characteristics. One of the most critical challenges is the non-uniform liquid distribution, which leads to inhomogeneous particle wetting and possible adverse effects on process yield and selectivity. In this study, the effects of initial wetting conditions on static liquid hold-up and wetting efficiency were studied using particle-resolved Direct Numerical Simulation (DNS). Our results reveal that the local distribution of initial wetting significantly influences the liquid pathways after start-up, enhancing wetting efficiency compared to that of an initially dry bed. Local variations in pre-wetted beds, however, have minimal impact on wetting efficiency, particularly at high liquid fluxes. Notably, liquid flux plays a more significant role in determining the wetting efficiency of pre-wetted beds.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Heat and Mass Transfer in Porous Media · Catalysis and Hydrodesulfurization Studies · Catalysts for Methane Reforming
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (36)
Show source-provided references
1. A. S. Ambekar, U. Rüde, V. V. Buwa, Forces governing the dynamics of liquid spreading in packed beds, Journal of Fluid Mechanics 948.10.1017/jfm.2022.665 ↗
2. Performance analysis and modeling of catalytic trickle-bed reactors: A comprehensive review10.1016/j.jiec.2021.04.020 ↗
3. A critical comparison of surface tension models for the volume of fluid method10.1016/j.ces.2013.12.045 ↗
4. Study of liquid spreading from a point source in a trickle bed via gamma-ray tomography and CFD simulation10.1016/j.ces.2005.03.049 ↗
5. A continuum method for modeling surface tension10.1016/0021-9991(92)90240-Y ↗
6. Numerical solution of the navier-stokes equations10.1090/S0025-5718-1968-0242392-2 ↗
7. Cocurrent downflow of air and water in a two-dimensional packed column10.1002/aic.690321011 ↗
8. Direct numerical simulation of complex multi-fluid flows using a combined front tracking and immersed boundary method10.1016/j.ces.2009.01.029 ↗
9. Direct numerical simulation of flow and heat transfer in dense fluid-particle systems10.1016/j.ces.2012.06.055 ↗
10. Multi-scale modeling of dispersed gas-liquid two-phase flow10.1016/j.ces.2004.01.038 ↗
11. Effect of capillary pressure force on local liquid distribution in a trickle bed10.1016/j.ces.2018.06.052 ↗
12. Magnetic resonance imaging as a quantitative probe of gas–liquid distribution and wetting efficiency in trickle-bed reactors10.1016/S0009-2509(00)00513-3 ↗
13. P. G. Gray, D. D. Do, D. Gas, K. Higashi, H. Ito, J. Oishi, E. F. Kondis, J. S. Dranoff, M. Kuro-Oka, M. Suzuki, T. Nitta, T. Katayama, S. Masamune, J. M. Smith, J. W. Ross, R. J. Good, P. Schneider, J. Villadsen, M. L. Michelsen, E. Wicke, R. Kallenbach, Z. Kolloid, R. T. Yang, J. B. Fenn, G. L. Haller, Liquid distribution in trickle beds. An experimental study using computer-assisted tomography, Industrial and Engineering Chemistry Process Design and Development 30 (1270) 60.10.1021/ie00054a030 ↗
14. Hydrodynamics of trickle-bed reactors: Experiments and CFD modeling10.1021/ie0491037 ↗
15. Effects of prewetting on Bubbly- and pulsing-flow regime transitions in trickle-bed reactors10.1021/acs.iecr.5b00957 ↗
16. Effect of bed characteristics on local liquid spreading in a trickle bed10.1002/aic.15455 ↗
17. Multiple hydrodynamic states in cocurrent two-phase downflow through packed beds10.1021/i260068a016 ↗
18. Models, algorithms and validation for opensource DEM and CFD-DEM, progress in computational
19. The hydrodynamics of trickling flow in packed beds. Part II: Experimental observations10.1002/aic.690320303 ↗
20. Multiple hydrodynamic states in trickle flow: Quantifying the extent of pressure drop, liquid holdup and gas–liquid mass transfer variation10.1016/j.ces.2006.08.042 ↗
21. Masterov · 2019
22. A coupled volume of fluid and immersed boundary method for simulating 3D multiphase flows with contact line dynamics in complex geometries10.1016/j.ces.2017.03.012 ↗
23. Ranade · 2011 · 117
24. Ranade · 2011 · 1
25. Chapter 4 - Flow modeling of trickle beds
26. D. R. Rieder, E. A. J. F. Peters, J. A. M. Kuipers, Particle scale impact of the reaction rate on the effective diffusion in coarse porous media, Chemical Engineering Science 268.10.1016/j.ces.2022.118427 ↗
27. An adaptive mesh algorithm for free surface flows in general geometries
28. Effect of liquid flux on wetting behavior in slender trickle bed reactors: A particle-resolved direct numerical simulation study10.1016/j.ces.2024.120930 ↗
29. Particle-resolved cfd study of liquid axial penetration and lateral spreading in an ordered trickle bed reactor10.1016/j.partic.2025.12.025 ↗
30. 2020
31. An investigation of liquid maldistribution in trickle beds10.1016/S0009-2509(02)00251-8 ↗
32. A. Van, H. Sasol, C. Sandrock, W. Nicol, A. J. Van Houwelingen, Particle wetting distribution in trickle bed reactors article in, AIChE Journal.
33. Numerical simulation of gas bubbles behaviour using a three-dimensional volume of fluid method10.1016/j.ces.2005.01.031 ↗
34. Versteeg · 1995 · Ch. 5 · 164
35. A density-scaled continuum surface force model within a balanced force formulation10.1016/j.jcp.2014.08.034 ↗
36. Youngs · 1982