Simulation of bubble column reactors using CFD coupled with a population balance model

Wang, Tiefeng

doi:10.1007/s11705-009-0267-5

Cited by 23 publications

(11 citation statements)

References 29 publications

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“…An overview of models also for the source terms S BIT k and S BIT e in Eqs. (12) and (13) to account for bubble-induced turbulence is listed in Tab. 6.…”

Section: Turbulence Modelingmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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This work reviews the state‐of‐the‐art models for the simulation of bubble columns and focuses on methods coupled with computational fluid dynamics (CFD) where the potential and deficits of the models are evaluated. Particular attention is paid to different approaches in multiphase fluid dynamics including the population balance to determine bubble size distributions and the modeling of turbulence where the authors refer to numerous published examples. Additional models for reactive systems are presented as well as a special chapter regarding the extension of the models for the simulation of bubble columns with a present solid particle phase, i.e., slurry bubble columns.

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“…An overview of models also for the source terms S BIT k and S BIT e in Eqs. (12) and (13) to account for bubble-induced turbulence is listed in Tab. 6.…”

Section: Turbulence Modelingmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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“…the discrete class size method (Hounslow, Ryall, & Marshall, 1988), the standard method of moments (Randolf & Larson, 1971) and the quadrature method of moments (Marchisio, Vigil, & Fox, 2003) can be found in Bridgeman et al (2009). It should be emphasized that although PBM-CFD coupling has been successfully exploited in the chemical engineering sector to study bubble columns, airlift and stirred bioreactors (Dhanasekharan, Sanyal, Jain, & Haidari, 2005;Morchain, Gabelle, & Cockx, 2014;Wang, 2011), its application in modeling of aeration systems with suspended solids is still uncommon and is limited to only a very few examples (Karpinska & Bridgeman, 2016;Nopens, Torfs, Ducoste, Vanrolleghem, & Gernaey, 2015).…”

Section: Mass Transfer Coefficientmentioning

confidence: 99%

Towards a robust CFD model for aeration tanks for sewage treatment – a lab-scale study

Karpinska

Bridgeman

2017

Engineering Applications of Computational Fluid Mechanics

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Detailed insight into the hydrodynamics of aeration tanks is of crucial importance for improvements in treatment efficiency, optimization of the process design and energy-efficient operation. These factors have triggered increasing interest in the use of Computational Fluid Dynamics (CFD) to evaluate performance of wastewater treatment systems. Whilst factors such as incorrect input assumptions, poor model choice and excessive simplifications have been recognized as potential sources of output errors, there remains a need to identify the most robust strategy to faithfully simulate aeration tank performance. Therefore, the focus of this work was to undertake rigorous transient simulations of the hydrodynamics and oxygen mass transfer in a lab-scale aeration tank in order to work towards the development of robust modeling guidelines for activated sludge systems. Unlike most previous CFD analyses of aeration systems, the work reported here employed the shear stress transport (SST) k − ω turbulence model to account for the turbulent interactions between the phases inducing bubble breakup and/or coalescence, and as a consequence, promoting the formation of bubbles of different sizes and shapes. The results obtained were compared with those arising from an analysis using the standard k − ε (sk − ε) model -and assuming fixed bubble diameter-the most common CFD modeling framework used within the wastewater modeling community. Model validation was achieved using acoustic Doppler velocimetry and particle image velocimetry techniques, and experimentally derived oxygen mass transfer data. Limitations of both turbulence models used and modeling assumptions concerning bubbly flow are discussed. The benefits of the SST k − ω turbulence model are demonstrated, but the need to balance the increased computational expense of this approach compared to the sk − ε model and, indeed, bubble flow modeling are recognized. Thus, this paper presents the first rigorous analysis of turbulence model and bubble flow generation models together for activated sludge system optimization.

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“…Population Balance Models (PBMs) represent a powerful modelling framework for the description of the dynamics of properties that are characterised by statistical distributions [16]. PBM applied to CFD can define the presence and the interaction of bubbles, based on break-up and coalescence models to reproduce the dispersed phase motion more correctly [17,18]. Several two-phase flow (gas-liquid) CFD models have been developed over the last years focused on aeration of full-scale oxidation ditch configurations [2].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive hydrodynamic analysis of a full-scale oxidation ditch using Population Balance Modelling in CFD simulation

Climent

Martínez‐Cuenca

Carratalà

et al. 2019

Chemical Engineering Journal

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This work exhibits the importance of the experimental validation when full-scale computational fluid dynamics (CFD) models are developed to provide a detailed analysis of the spatial variations in 3D of the fluid flow inside aerated tanks. Single-phase and two-phase CFD models were performed to study the fluid behaviour carefully by means of the velocity profiles and the aeration pattern in a full-scale oxidation ditch. Air holdup , bubble size distribution and interfacial area density were calculated by polydisperse models where Population Balance Model (PBM) was governed by break-up and coalescence; the free-surface approach allowed the CFD model to describe the threedimensional effect of bubbly plumes in large scales in detail. Tracer tests were carried out to obtain the flow pattern and the hydraulic distribution of the flow into two wastewater treatment lanes in order to define the boundary conditions for the model correctly. Despite the difficulty of performing velocity measurements of the fluid in 3D, with and without air bubbles, these provided essential information to validate the CFD model. From this analysis, several simulations were performed to improve the hydrodynamics and the operation of the process by relocating the propellers.

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Simulation of bubble column reactors using CFD coupled with a population balance model

Cited by 23 publications

References 29 publications

Models for the Numerical Simulation of Bubble Columns: A Review

Models for the Numerical Simulation of Bubble Columns: A Review

Towards a robust CFD model for aeration tanks for sewage treatment – a lab-scale study

A comprehensive hydrodynamic analysis of a full-scale oxidation ditch using Population Balance Modelling in CFD simulation

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