Experimental investigation of local bubble properties: Comparison to the sectional quadrature method of moments

Schäfer, Jan; Hlawitschka, Mario; Attarakih, Menwer; Bart, Hans‐Jörg

doi:10.1002/aic.16694

Cited by 14 publications

(6 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Section-wise approximation with QMOM. Attarakih et al [100] Schäfer et al [101] One-group models One primary one secondary particle method (OPOSPM)…”

Section: Marchisio and Fox [94]mentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Section-wise approximation with QMOM. Attarakih et al [100] Schäfer et al [101] One-group models One primary one secondary particle method (OPOSPM)…”

Section: Marchisio and Fox [94]mentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, the SQMOM recently found application in bubble column flows. Schäfer et al [323] implemented the SQMOM in OpenFOAM ® . The outcomes of numerical simulations have been validated with experiments, showing good agreement in terms of the time-averaged vertical component of the velocity, instantaneous velocity field of the disperse phase, and the shape of BSD in general.…”

Section: Pbe Discretization Methodsmentioning

confidence: 99%

Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review

Luzi¹,

McHardy

2022

Energies

View full text Add to dashboard Cite

Computational Fluid Dynamics (CFD) have been frequently applied to model the growth conditions in photobioreactors, which are affected in a complex way by multiple, interacting physical processes. We review common photobioreactor types and discuss the processes occurring therein as well as how these processes have been considered in previous CFD models. The analysis reveals that CFD models of photobioreactors do often not consider state-of-the-art modeling approaches. As a comprehensive photobioreactor model consists of several sub-models, we review the most relevant models for the simulation of fluid flows, light propagation, heat and mass transfer and growth kinetics as well as state-of-the-art models for turbulence and interphase forces, revealing their strength and deficiencies. In addition, we review the population balance equation, breakage and coalescence models and discretization methods since the predicted bubble size distribution critically depends on them. This comprehensive overview of the available models provides a unique toolbox for generating CFD models of photobioreactors. Directions future research should take are also discussed, mainly consisting of an extensive experimental validation of the single models for specific photobioreactor geometries, as well as more complete and sophisticated integrated models by virtue of the constant increase of the computational capacity.

show abstract

“…Attarakih et al [121] provided further details, including implementation; they also suggested to use a low number of secondary particles for improved conditioning of the moment inversion and to increase accuracy by using a larger number of primary particles. SQMoM has been applied in combination with CFD modeling of liquid extraction columns [122][123][124][125] and bubble columns [74,126].…”

Section: Sectional Quadrature Methods Of Moments (Sqmom)mentioning

confidence: 99%

Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes

Dürr

Bück

2020

Processes

View full text Add to dashboard Cite

Population balance modeling is an established framework to describe the dynamics of particle populations in disperse phase systems found in a broad field of industrial, civil, and medical applications. The resulting population balance equations account for the dynamics of the number density distribution functions and represent (systems of) partial differential equations which require sophisticated numerical solution techniques due to the general lack of analytical solutions. A specific class of solution algorithms, so-called moment methods, is based on the reduction of complex models to a set of ordinary differential equations characterizing dynamics of integral quantities of the number density distribution function. However, in general, a closed set of moment equations is not found and one has to rely on approximate closure methods. In this contribution, a concise overview of the most prominent approximate moment methods is given.

show abstract

Experimental investigation of local bubble properties: Comparison to the sectional quadrature method of moments

Cited by 14 publications

References 42 publications

Models for the Numerical Simulation of Bubble Columns: A Review

Models for the Numerical Simulation of Bubble Columns: A Review

Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review

Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes

Contact Info

Product

Resources

About