Volume 42, Issue 8 pp. 1545-1554
Research Article

Estimation of kLa Values in Bench-Scale Stirred Tank Reactors with Self-Inducing Impeller by Multiphase CFD Simulations

Vania Santos-Moreau

Corresponding Author

Vania Santos-Moreau

IFP Energies Nouvelles, Rond-point de l'échangeur de Solaize – BP 3, 69360 Solaize, France

Correspondence: Vania Santos-Moreau ([email protected]), IFP Energies Nouvelles, Rond-point de l'échangeur de Solaize – BP 3, 69360 Solaize, France; Cláudio P. Fonte ([email protected]), The University of Manchester, School of Chemical Engineering and Analytical Science, Oxford Road, M13 9PL Manchester, United Kingdom.Search for more papers by this author
José Carlos B. Lopes

José Carlos B. Lopes

Universidade do Porto, LA LSRE/LCM, Laboratory of Separation and Reaction Engineering, Faculdade de Engenharia, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

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Cláudio P. Fonte

Corresponding Author

Cláudio P. Fonte

The University of Manchester, School of Chemical Engineering and Analytical Science, Oxford Road, M13 9PL Manchester, United Kingdom

Correspondence: Vania Santos-Moreau ([email protected]), IFP Energies Nouvelles, Rond-point de l'échangeur de Solaize – BP 3, 69360 Solaize, France; Cláudio P. Fonte ([email protected]), The University of Manchester, School of Chemical Engineering and Analytical Science, Oxford Road, M13 9PL Manchester, United Kingdom.Search for more papers by this author
First published: 12 March 2019
Citations: 11

Abstract

A multiphase computational fluid dynamics (CFD) simulation methodology is developed and proposed for the estimation of the spatial distribution of kLa values in a bench-scale reactor equipped with a self-inducing impeller. The importance of estimating an apparent drag coefficient, which considers the effect of turbulence on the gas bubble rising velocity, is also tackled by applying different correlations available in literature, namely, Brucato, modified Brucato, and Pinelli correlations. The spatial distribution of kLa values in the agitated vessel is found from the CFD results using Danckwert's surface renewal model. An analysis of the gas volume fraction distribution obtained from the simulations is performed in order to choose the most suitable drag model. The modified Brucato correction correlation for the drag force exhibits the best agreement with experimental data.

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