Liquid Distribution in Trickle-Bed Reactor

Marcandelli, C.; Lamine, A.S.; Bernard, J.R.; Wild, Gabriel

doi:10.2516/ogst:2000029

Cited by 63 publications

(64 citation statements)

References 17 publications

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“…The authors show that these dispersion mechanisms should be taken into account in the simulations to reproduce gas-liquid hydrodynamic flow in TBR well. They validated the CFD model upon various experimental data of liquid distribution obtained by Marcandelli et al (2000) and Boyer et al (2005). Figures 9 and 10 show simulation results obtained by Solomenko et al (2015) in order to evaluate CFD modeling.…”

Section: Trickle-bed Reactors On the Bed Scalementioning

confidence: 99%

“…Figures 9 and 10 show simulation results obtained by Solomenko et al (2015) in order to evaluate CFD modeling. The simulation results were compared with the experimental data of Marcandelli et al (2000). The experimental work consists of liquid distribution in a 0.3 m-diameter and 1.3 m-high column packed with 2-mm glass beads using air and water.…”

Section: Trickle-bed Reactors On the Bed Scalementioning

confidence: 99%

“…As discussed in Solomenko et al (2015), relatively small time steps, varying between 1.10 À5 s and 1.10 À2 s, were required for this simulation. Figure 9 shows liquid saturation contours in the simulated trickle-bed for the configuration of two liquid injection points considered in Marcandelli et al (2000) experiments. The plot shows the liquid spreading along the column.…”

mentioning

confidence: 99%

“…and 5.10 À3 m.s À1 (Marcandelli et al, 2000). As discussed in Solomenko et al (2015), relatively small time steps, varying between 1.10 À5 s and 1.10 À2 s, were required for this simulation.…”

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confidence: 99%

See 3 more Smart Citations

CFD Applied to Process Development in the Oil and Gas Industry – A Review

Raynal

Augier

Bazer-Bachi

et al. 2015

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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-Computational Fluid Dynamics (CFD) is increasingly used in the oil and gas industry. The present article aims to show how CFD can be used at all steps of the development of a new process, with a focus on refining technologies. Those different steps consist first of setting up tools that will be used during the development phase, second of obtaining data in complement with experiments required for the process development, and finally, of troubleshooting actions or technology developments that will make the process even more efficient. A large number of applications corresponding to various flow configurations, single-phase or gas-liquid, gas-solid or even gas-liquid-solid, characterised by significantly different scales and requiring adapted simulation approaches, are discussed based on original results and a review of the literature. Perspectives are given in particular on the multi-scale approach and physical phenomena coupling.Résumé -La simulation numérique des écoulements appliquée au développement de procédés dans le monde de l'industrie du pétrole et du gaz -une revue -La simulation numérique des écoulements, ou Computational Fluid Dynamics (CFD), est un outil de plus en plus employé dans les secteurs pétrolier et gazier. Cet article permet d'illustrer comment l'outil numérique est utilisé lors des différents stades de développement d'un nouveau procédé, en particulier dans le monde du raffinage. Ces différentes phases correspondent tout d'abord à la mise au point des équipements qui seront utilisés pour le développement, puis au complément des essais lors de la phase de développement proprement dite et enfin à des actions support pour la résolution de problèmes opératoires ou l'amélioration de technologies qui permettront d'optimiser le procédé. De nombreuses applications correspondant à différents types d'écoulements, monophasique ou gaz-liquide, gazsolide et gaz-liquide-solide, caractérisées par des échelles de résolution différentes et requérant des approches de simulations adaptées sont discutées sur la base de résultats originaux et d'une revue de travaux déjà publiés. Des perspectives sont aussi données tant sur les aspects approche multi-échelles que sur le couplage de phénomènes.

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Section: Trickle-bed Reactors On the Bed Scalementioning

confidence: 99%

Section: Trickle-bed Reactors On the Bed Scalementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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CFD Applied to Process Development in the Oil and Gas Industry – A Review

Raynal

Augier

Bazer-Bachi

et al. 2015

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…A few studies have been reported in literature on lateral liquid dispersion and empirical correlations have been proposed for predicting the radial dispersion of liquid (Lutran et al, 1991;Marcandelli et al, 2000;Boyer et al, 2005). It is interesting to know if there exists an analogy between heat and momentum transfer in radial spread of the liquid in TBRs.…”

Section: Introductionmentioning

confidence: 99%

Lateral mixing in trickle bed reactors

Babu

Shah

Rao

2007

Chemical Engineering Science

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Knowledge of lateral mixing is essential to understand heat and momentum transfer parameters in both single-phase liquid and two-phase gas-liquid co-current down flow through packed bed columns. The reactors through which gas and liquid concurrently flow downwards through a bed of catalytic packing are called trickle bed reactors. Experimental data on lateral mixing coefficients from both the heat transfer and radial liquid distribution studies are obtained over a wide range of flow rates of gas (0.01.0.898 kg/m 2 s) and liquid (3.16.71.05 kg/m 2 s) using glass spheres (4.05 and 6.75 mm), ceramic spheres (2.59 mm), and ceramic raschig rings (4 and 6.75 mm) as packing materials covering trickle flow, pulse flow, and dispersed bubble flow regimes. In the present work, an expression for estimation of lateral mixing coefficient ( ) L is derived using the data on radial liquid distribution studies. The agreement between the values of ( ) L obtained from heat transfer studies and from radial liquid distribution studies using the experimental data shows that there exists an analogy between the heat transfer and radial liquid distribution in packed beds. Since ( ) L is an important variable for estimation of various heat and mass transfer parameters, a correlation for ( ) L based on present heat transfer study is proposed. The agreement between the ( ) L values estimated from the proposed correlation and experimental values is satisfactory with a standard deviation (s.d.) of 0.119.

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Three‐Phase Trickle‐Bed Reactors

Duduković

Kuzeljevic

Combest³

2014

Ullmann's Encyclopedia of Industrial Chemistry

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This chapter reviews the art and science involved in understanding the multiscale multiphase phenomena that affect the performance of trickle bed reactors. Their application areas, the traditional approach to their design and scaleup, and some commonly encountered problems in practice are discussed. The foundations for rational scaleup are introduced. The recent attempts to develop a multiscale science‐based approach to scale up and design of these reactors is summarized at the end. The article contains sections titled: 1. Introduction 2. Design 2.1. Flow Regimes 2.2. Flow Distribution 2.3. Pressure Drop 2.4. Liquid Holdup 2.5. Catalyst Wetting and Liquid–Solid Contacting 2.6. Residence Time Distributions 2.7. Heat Transfer and Thermal Stability 3. Modeling and Analysis 3.1. Reactor Models 3.2. Hydrodynamic and Computational Fluid Dynamic Models 3.3. CFD Models of Trickle Beds 4. Trickle‐bed Reactor Scaleup 5. Reactor Troubleshooting 6. Acknowledgment References

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Liquid Distribution in Trickle-Bed Reactor

Cited by 63 publications

References 17 publications

CFD Applied to Process Development in the Oil and Gas Industry – A Review

CFD Applied to Process Development in the Oil and Gas Industry – A Review

Lateral mixing in trickle bed reactors

Three‐Phase Trickle‐Bed Reactors

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