Local hydrodynamics modeling of a gas–liquid–solid three‐phase bubble column

Jia, Xiaoqiang; Wen, Jianping; Zhou, Haoli; Feng, Wei; Yuan, Quan

doi:10.1002/aic.11254

Cited by 34 publications

(11 citation statements)

References 47 publications

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“…Nevertheless, computational fluid dynamics (CFD) models have been developed for bubble reactors and are able to predict bubble dynamics at the bubble population level. For example, the model of Jia et al [2007] is able to predict local gas holdups (defined as the fractional bubble content within a section of a reactor or bubble column) and fluid velocities in bubble columns containing three phases (solid, liquid, and gaseous). However, it is clear that such models require further devel-opment and testing; the correspondence between the model of Jia et al and experimental data was modest at best.…”

Section: Cfd or Not Cfd: That Is The Questionmentioning

confidence: 99%

Methane Dynamics in Peat: Importance of Shallow Peats and a Novel Reduced-Complexity Approach for Modeling Ebullition

Coulthard

Baird

Ramírez³

et al. 2013

Carbon Cycling in Northern Peatlands

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Northern peatlands are one of the largest natural sources of atmospheric methane (CH 4), and it is important to understand the mechanisms of CH 4 loss from these peatlands so that future rates of CH 4 emission can be predicted. CH 4 is lost to the atmosphere from peatlands by diffusion, by plant transport, and as bubbles (ebullition). We argue that ebullition has not been accounted for properly in many previous studies, both in terms of measurement and the conceptualization of the mechanisms involved. We present a new conceptual model of bubble buildup and release that emphasizes the importance of near-surface peat as a source of atmospheric CH 4. We review two possible approaches to modeling bubble buildup and loss within peat soils: the recently proposed bubble threshold approach and a fully computational-fluid-dynamics approach. We suggest that neither satisfies the needs of peatland CH 4 models, and we propose a new reduced-complexity approach that conceptualizes bubble buildup and release as broadly similar to an upside down sandpile. Unlike the threshold approach, our model allows bubbles to accumulate at different depths within the peat profile according to peat structure, yet it retains the simplicity of many cellular (including cellular automata) models. Comparison of the results from one prototype of our model with data from a laboratory experiment suggests that the model captures some of the key dynamics of ebullition in that it reproduces well observed frequency-magnitude relationships. We outline ways in which the model may be further developed to improve its predictive capabilities.

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Section: Cfd or Not Cfd: That Is The Questionmentioning

confidence: 99%

Methane Dynamics in Peat: Importance of Shallow Peats and a Novel Reduced-Complexity Approach for Modeling Ebullition

Coulthard

Baird

Ramírez³

et al. 2013

Carbon Cycling in Northern Peatlands

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“…TKE is the mean kinetic energy per unit mass associated with eddies in turbulent flow, which represents the turbulent intensity in fluid and is also related to the diffusion of dissolved oxygen in a bioreactor 29, 31, 36. TKE and turbulent dissipation rate ε are the key factors in Eqs.…”

Section: Resultsmentioning

confidence: 99%

“…Last item of Eqs. 10 and 11 is the lift force between the continuous phase and the dispersed phase, and the lift coefficient C l is 0.5 31…”

Section: Cfd Model Developmentmentioning

confidence: 99%

Computational fluid dynamics modeling of mass transfer behavior in a bioreactor for hairy root culture. I. Model development and experimental validation

Sun

Liu

2011

Biotechnology Progress

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A two-dimensional axisymmetric computational fluid dynamics (CFD) model based on a porous media model and a discrete population balance model was established to investigate the hydrodynamics and mass transfer behavior in an airlift bioreactor for hairy root culture.During the hairy root culture of Echinacea purpurea, liquid and gas velocity, gas holdup, mass transfer rate, as well as oxygen concentration distribution in the airlift bioreactor were simulated by this CFD model. Simulative results indicated that liquid flow and turbulence played a dominant role in oxygen mass transfer in the growth domain of the hairy root culture. The dissolved oxygen concentration in the hairy root clump increased from the bottom to the top of the bioreactor cultured with the hairy roots, which was verified by the experimental detection of dissolved oxygen concentration in the hairy root clump. This methodology provided insight understanding on the complex system of hairy root culture and will help to eventually guide the bioreactor design and process intensification of large-scale hairy root culture.

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“…(11) which include different interaction forces, such as the drag force, virtual mass force, lift force, turbulent dispersion force and wall lubrication force [14]. Drag force had a significantly higher effect than other interfacial forces on the flow pattern [6].…”

Section: Momentum Balance Equationsmentioning

confidence: 99%

CFD simulation of hydrodynamics of gas–liquid–solid three-phase bubble column

Wang

2015

Powder Technology

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Local hydrodynamics modeling of a gas–liquid–solid three‐phase bubble column

Cited by 34 publications

References 47 publications

Methane Dynamics in Peat: Importance of Shallow Peats and a Novel Reduced-Complexity Approach for Modeling Ebullition

Methane Dynamics in Peat: Importance of Shallow Peats and a Novel Reduced-Complexity Approach for Modeling Ebullition

Computational fluid dynamics modeling of mass transfer behavior in a bioreactor for hairy root culture. I. Model development and experimental validation

CFD simulation of hydrodynamics of gas–liquid–solid three-phase bubble column

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