A three-dimensional CFD model for gas–liquid bubble columns

Delnoij, E; Kuipers, J.A.M.; Swaaij, van Wpm Wim

doi:10.1016/s0009-2509(98)00362-5

Cited by 119 publications

(82 citation statements)

References 16 publications

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“…However, for more general geometries, experimental investigations by Becker et al (1994) and Chen et al (1994) indicate that bubble columns generally show an unsteady flow with considerable spatial variation of the key hydrodynamic quantities. Numerical simulations reported by Delnoij et al (1999), Sokolichin and Eigenberger (1994) and Deen et al (2001) also show that unsteady vortical structures appear in 2D and 3D simulations. These results suggest that a 1D plug flow model as was used in Fleischers model is not able to capture the unsteady hydrodynamics behavior of a bubble column.…”

Section: Introductionmentioning

confidence: 71%

Detailed modeling of hydrodynamics, mass transfer and chemical reactions in a bubble column using a discrete bubble model

Darmana

Deen

Kuipers

2005

Chemical Engineering Science

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167

197

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A 3D discrete bubble model is adopted to investigate complex behavior involving hydrodynamics, mass transfer and chemical reactions in a gas-liquid bubble column reactor. In this model a continuum description is adopted for the liquid phase and additionally each individual bubble is tracked in a Lagrangian framework, while accounting for bubble-bubble and bubble-wall interactions via an encounter model. The mass transfer rate is calculated for each individual bubble using a surface renewal model accounting for the instantaneous and local properties of the liquid phase in its vicinity. The distributions in space of chemical species residing in the liquid phase are computed from the coupled species balances considering the mass transfer from bubbles and reactions between the species. The model has been applied to simulate chemisorption of CO 2 bubbles in NaOH solutions. Our results show that apart from hydrodynamics behavior, the model is able to predict the bubble size distribution as well as temporal and spatial variations of each chemical species involved.

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Section: Introductionmentioning

confidence: 71%

Detailed modeling of hydrodynamics, mass transfer and chemical reactions in a bubble column using a discrete bubble model

Darmana

Deen

Kuipers

2005

Chemical Engineering Science

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167

197

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“…For further details, the interested reader is referred to Delnoij et al (1997Delnoij et al ( , 1999, van den Hengel (2004) and Darmana et al (2005a). The issue that needs to be addressed here is the mapping of Lagrangian properties to the Eulerian grid and vice versa, Left: volume-averaging of bubble properties to the surrounding grid points as applied in the original DBM by Delnoij et al (1997); right: distribution via a polynomial distribution function (see Darmana et al, 2005b).…”

Section: Solution Methodsmentioning

confidence: 99%

“…The DBM, which has been widely used in the field of gas-liquid bubble columns (Lapin and Lübbert, 1994;Sokolichin et al, 1997;Delnoij et al, 1997Delnoij et al, , 1999, has been somewhat modified to model the hydrodynamics of fluidised beds. Firstly, the DBM together with the closure relations describing the behaviour of bubbles in fluidised beds, including bubble coalescence and splitting, is described.…”

Section: Introductionmentioning

confidence: 99%

Modelling of large-scale dense gas–solid bubbling fluidised beds using a novel discrete bubble model

Bokkers

Laverman

Annaland

et al. 2006

Chemical Engineering Science

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In order to model the complex hydrodynamic phenomena prevailing in industrial scale gas-solid bubbling fluidised bed reactors and especially the macro-scale emulsion phase circulation patterns induced by bubble-bubble interactions and bubble coalescence, a discrete bubble model (DBM) has been developed. In the DBM, the (larger) bubbles are modelled as discrete elements and are tracked individually during their rise through the emulsion phase, which is considered as a continuum. The DBM, originally developed for the description of gas-liquid flows, has been adapted to cope with bubbles with a diameter larger than the size of an Eulerian cell, which is required in view of the large bubble size distribution at higher gas flow rates. Moreover, a new drag model for a single bubble rising in a fluidised bed derived from empirical correlations has been implemented, as well as a simple model to account for bubble coalescence and break-up. The strong advantage of the DBM compared to other models previously reported in the literature for the description of large-scale fluidised beds is that it fully accounts for the two-way coupling between the bubbles and the emulsion phase, which enables direct computation of the emulsion phase velocity profiles. Comparison of the results of simulations ignoring bubble coalescence and simulations taking bubble coalescence properly into account demonstrated the significant effect of bubble coalescence on the large-scale circulation patterns prevailing in bubbling fluidised beds. The simulation results for the lateral profiles of the visible bubble flow rate have been compared qualitatively with experimental results reported by Werther [1974. Influence of the bed diameter on the hydrodynamics of gas fluidized beds. A.I.Ch.E. Symposium Series 70(141), [53][54][55][56][57][58][59][60][61][62]. The effect of the superficial gas velocity on the velocity and porosity profiles has been studied. In general, it can be concluded that the DBM is able to capture the salient features of the hydrodynamics of bubbling fluidised beds. However, further research is required to improve the closure equations for the bubble behaviour, bubble-bubble interactions and bubble coalescence and break-up to enable a complete quantitative description. ᭧

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“…The liquid phase was computed using LES, and a Lagrangian approach was used for the dispersed phase. They used a discrete bubble model (DBM) originally developed by Delnoij et al [58,59] and extended it to incorporate models describing bubble breakup and coalescence. The mean and fluctuating velocities predicted in the simulations showed a good agreement with the experimental data of Deen et al [19].…”

Section: Tabib and Schwarzmentioning

confidence: 99%

Large Eddy Simulation for Dispersed Bubbly Flows: A Review

Dhotre

Deen

Ničeno

et al. 2013

International Journal of Chemical Engineering

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Large eddy simulations (LES) of dispersed gas-liquid flows for the prediction of flow patterns and its applications have been reviewed. The published literature in the last ten years has been analysed on a coherent basis, and the present status has been brought out for the LES Euler-Euler and Euler-Lagrange approaches. Finally, recommendations for the use of LES in dispersed gas liquid flows have been made.

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A three-dimensional CFD model for gas–liquid bubble columns

Cited by 119 publications

References 16 publications

Detailed modeling of hydrodynamics, mass transfer and chemical reactions in a bubble column using a discrete bubble model

Detailed modeling of hydrodynamics, mass transfer and chemical reactions in a bubble column using a discrete bubble model

Modelling of large-scale dense gas–solid bubbling fluidised beds using a novel discrete bubble model

Large Eddy Simulation for Dispersed Bubbly Flows: A Review

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