Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23693
Title: Computational fluid dynamics modelling of hydrodynamics, mixing and oxygen transfer in industrial bioreactors with Newtonian broths
Authors: Nadal-Rey, G
McClure, DD
Kavanagh, JM
Cassells, B
Cornelissen, S
Fletcher, DF
Gernaey, KV
Keywords: computational fluid dynamics modelling;large-scale bioreactor;hydrodynamics;oxygen transfer;mixing;Newtonian broth
Issue Date: 3-Nov-2021
Publisher: Elsevier BV
Citation: Nadal-Rey, G., McClure, D.D., Kavanagh, J.M., Cassells, B., Cornelissen, S., Fletcher, D.F. and Gernaey, K.V. (2022) 'Computational fluid dynamics modelling of hydrodynamics, mixing and oxygen transfer in industrial bioreactors with Newtonian broths', Biochemical engineering journal, 177, 108265, pp. 1-18. doi: 10.1016/j.bej.2021.108265.
Abstract: © 2021 The Author(s). Industrial aerobic fermentation processes are performed in large-scale bioreactors (> 20 m3). Understanding the local values of the velocity field, the eddy dissipation rate and the gas volume fraction is of interest, as these parameters affect mixing and mass transfer and hence fermentation process performance and profitability. Despite the industrial and academic importance of these flow variables in large-scale bioreactors, there is scarce literature addressing it. This article provides a numerical comparison using Computational Fluid Dynamics (CFD) of different industrially relevant reactor types (bubble columns and stirred tanks with different impeller configurations) operated within a realistic range of industrial conditions (40 – 90 m3, 0.3 – 6 kW m-3, 0.5 – 1 vvm). Local flow variables and mixing times are evaluated for all cases studied. The collection of these data allows the prediction of the typical values of mixing time (10 – 206 s) and oxygen transfer rate (1 – 8 kg m-3 h-1) in industrial bioreactors, and serves as basis for the comparison between different reactor types.
URI: https://bura.brunel.ac.uk/handle/2438/23693
DOI: https://doi.org/10.1016/j.bej.2021.108265
ISSN: 1369-703X
Other Identifiers: 108265
Appears in Collections:Chemistry

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