Dutta, Abhishek

Eliasson Lantz, Anna

Gernaey, Krist

Heins, Anna-Lena

Jensen, Anker Degn

Lencastre Fernandes, Rita

Nopens, Ingmar

Fernandes, Rita L

Lantz, Anna E

Jensen, Anker D

Gernaey, Krist V

Ghent University Academic Bibliography

Modeling the residence time distribution in a batch fermentor: comparison of CFD prediction with experiment

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Dec 19, 2017Modeling the Residence Time Distribution In a Batch Fermentor: Comparison of CFDPrediction with ExperimentDutta, Abhishek; Lencastre Fernandes, Rita; Heins, Anna-Lena; Eliasson Lantz, Anna; Jensen, AnkerDegn; Gernaey, Krist V.; Nopens, IngmarPublication date:2011Document VersionPublisher's PDF, also known as Version of recordLink back to DTU OrbitCitation (APA):Dutta, A., Lencastre Fernandes, R., Heins, A-L., Eliasson Lantz, A., Jensen, A. D., Gernaey, K., & Nopens, I.(2011). Modeling the Residence Time Distribution In a Batch Fermentor: Comparison of CFD Prediction withExperiment. Abstract from 2011 AIChE Annual Meeting, Minneapolis, MN, United States.Abstract: Modeling the Residence Time Distribution In a Batch Fermentor: Comparison of CFD Prediction with Experiment (2011 Annual Meeting)http://aiche.confex.com/aiche/2011/webprogram/Paper236951.html[03-11-2011 15:01:25]Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal SchedulerModeling the Residence Time Distribution In a Batch Fermentor: Comparison ofCFD Prediction with ExperimentWednesday, October 19, 2011: 8:30 AMSymphony I/II (Hilton Minneapolis)Abhishek Dutta1, Rita Lencastre Fernandes2, Anna-Lena Heins3, Anna Eliasson Lantz3, Anker D. Jensen2, Krist V. Gernaey2and Ingmar Nopens1, (1)Biomath, University of Ghent, Ghent, Belgium, (2)Department of Chemical and Biochemical Engineering,Technical University of Denmark, Kgs. Lyngby, Denmark, (3)Department of Systems Biology, Technical University of Denmark,Kgs. Lyngby, DenmarkContinuous stirred tank reactors (CSTR) are ubiquitously used as fermenters in the biotechnological production of enzymes,pharmaceuticals, metabolites, antibodies, etc. They are also used in the bioprocess industry for the production of bio-ethanol, bio-hydrogen and even in mammalian cell culture. In most cases, a scale-up of these processes is necessary to yield commercialsuccess and viability. As with most scaling-up operations, mixing is also a crucial parameter in a biological process and is often notideal when operating at industrial scale. Poor mixing in a CSTR may be caused by gas by-passing and back-mixing phenomenaleading to the formation of dead zones where, in the case of a bioreactor, cells will experience a limited supply of nutrients andoxygen. In large-scale bioreactors gradients of e.g. substrate, oxygen and pH arise as a result of non-ideal mixing, resulting in aspatially heterogeneous extracellular environment. This fact has been suggested to be the main reason behind lower productyields, but higher cell viability, in comparison to lab scale cultivation (Enfors et al., 2001) Understanding bioreactor hydrodynamics in general, and non-ideal mixing in particular, is a key problem to understand theinherent bioprocess. The Residence Time Distribution (RTD) is one such way to characterize the non-ideal mixing in a CSTR (Choiet al., 2004). To estimate the RTD, a glucose tracer study has been performed experimentally in a Sartorius CPlus¨ batchbioreactor, having a working capacity of 10 litres, and the results were compared using Computational Fluid Dynamics (CFD)simulations. Several cases with varying impeller speed have been considered to study the effect of mixing phenomena on the RTD.The mean and variance of the distribution are analyzed for the extent of the deviation of the reactor behavior from its ideal state.Furthermore, the sensitivity of the sliding mesh is tested by varying the position of the interface zone. This would eventuallycontribute to building an optimized model of the bioreactor, and will be used for integration with biological models aiming atimproving performance prediction in the cases of poorly-mixed reactors.Reference[1] Enfors, S.O., Jahic, M., Rozkov, A., Xu, B., Hecker, M., JŸrgen, B. et al. (2001). Physiological responses to mixing in largescale bioreactors. J. Biotechnol., 85, 175-185.[2] Choi, B.S., Wan, B., Philyaw, S., Dhanasekharan, K., Ring, T.A. (2004). Residence Time Distribution in a stirred tank:comparison of CFD predictions with experiment. Ind. Eng. Chem. Res., 43, 6548-6556.Extended Abstract: File Not UploadedSee more of this Session: Mixing In the Production of Biopharmaceuticals See more of this Group/Topical: North American Mixing Forum

Modeling the Residence Time Distribution In a Batch Fermentor: Comparison of CFD Prediction with Experiment

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Modeling the Residence Time Distribution In a Batch Fermentor: Comparison of CFD Prediction with Experiment

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