LAPSE:2023.2219
Published Article
LAPSE:2023.2219
Computational Fluid Dynamics Study of a Pharmaceutical Full-Scale Hydrogenation Reactor
David Fernandes del Pozo, Mairtin Mc Namara, Bernardo J. Vitória Pessanha, Peter Baldwin, Jeroen Lauwaert, Joris W. Thybaut, Ingmar Nopens
February 21, 2023
The pharmaceutical industry has been quite successful in developing new hydrogenation processes, and the chemistry of hydrogenation is currently well understood. However, it is a complex process to scale and optimize due to its high exothermicity, use of expensive catalysts and solvents, and its mass transfer requirements. Therefore, the aim of this work is to develop a CFD model to be able to describe the mass transfer, hydrodynamics, and mixing with respect to changes in rotational speed for a full-scale pharmaceutical hydrogenation reactor. In the first stage, a simple CFD model is used to predict the development of the surface vortex, and it is validated against literature data. In the second stage, the CFD model is tested on a full-scale configuration equipped with a Rushton turbine and a bottom kicker to study the formation of the surface vortex. Simulation results show the ability to predict the development of the surface vortex. These results are used to estimate the liquid height and mixing time as a function of several rotational speeds, allowing us to propose novel process correlations for this particular configuration. Although modelling the complete hydrogenation process would be challenging, this work is seen as a first step towards developing models that demonstrate the use of CFD at such large reactor scales.
Keywords
CFD simulation, full-scale reactor, hydrogenation, mass transfer, Mixing, numerical simulation, Rushton turbine, surface vortex
Suggested Citation
Fernandes del Pozo D, Mc Namara M, Vitória Pessanha BJ, Baldwin P, Lauwaert J, Thybaut JW, Nopens I. Computational Fluid Dynamics Study of a Pharmaceutical Full-Scale Hydrogenation Reactor. (2023). LAPSE:2023.2219
Author Affiliations
Fernandes del Pozo D: BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium [ORCID]
Mc Namara M: Pharmaceutical Research and Development, Division of Janssen Pharmaceutica, Johnson & Johnson, Turnhoutseweg 30, 2340 Beerse, Belgium [ORCID]
Vitória Pessanha BJ: Laboratory for Chemical Technology, Department of Materials, Textiles, and Chemical Engineering, Ghent University, Technologiepark 125, 9052 Ghent, Belgium
Baldwin P: Pharmaceutical Research and Development, Division of Janssen Pharmaceutica, Johnson & Johnson, Turnhoutseweg 30, 2340 Beerse, Belgium
Lauwaert J: Industrial Catalysis and Adsorption Technology, Department of Materials, Textiles, and Chemical Engineering, Ghent University, Valentin Vaerwyckweg 1, 9000 Ghent, Belgium [ORCID]
Thybaut JW: Laboratory for Chemical Technology, Department of Materials, Textiles, and Chemical Engineering, Ghent University, Technologiepark 125, 9052 Ghent, Belgium [ORCID]
Nopens I: BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Journal Name
Processes
Volume
10
Issue
6
First Page
1163
Year
2022
Publication Date
2022-06-09
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr10061163, Publication Type: Journal Article
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LAPSE:2023.2219
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doi:10.3390/pr10061163
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