Multi-scale models for the optimization of batch bioreactors
In this paper, we propose multi-scale models for a batch bioreactor, which are developed by expanding the so-called Herbert’s Microbial Kinetics (HMK) concept so that the effects of mixing conditions are incorporated via the inclusion of the aeration rate and stirrer speed into the microbial kinetic...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IFAC
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/44640 |
| _version_ | 1848757059210706944 |
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| author | Liew, Emily Nandong, Jobrun Samyudia, Yudi |
| author2 | Kariwala, Vinay |
| author_facet | Kariwala, Vinay Liew, Emily Nandong, Jobrun Samyudia, Yudi |
| author_sort | Liew, Emily |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose multi-scale models for a batch bioreactor, which are developed by expanding the so-called Herbert’s Microbial Kinetics (HMK) concept so that the effects of mixing conditions are incorporated via the inclusion of the aeration rate and stirrer speed into the microbial kinetics. By using the multi-scale models, we are able to optimize the batch bioreactor’s performances, i.e. yield and productivity, by adjusting the aeration rate and stirrer speed. Simulation and experimental studies on a batch (fermentation) bioreactor demonstrate the application of this approach, whereby the integration of the expanded HMK model with the Computational Fluid Dynamics (CFD) model of mixing, which we call it as a Kinetics Multi-Scale (KMS) model, is able to predict the experimental values of yield and productivity of the batch fermentation process accurately (with less than 5% errors). |
| first_indexed | 2025-11-14T09:22:04Z |
| format | Conference Paper |
| id | curtin-20.500.11937-44640 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:22:04Z |
| publishDate | 2012 |
| publisher | IFAC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-446402023-02-07T08:01:22Z Multi-scale models for the optimization of batch bioreactors Liew, Emily Nandong, Jobrun Samyudia, Yudi Kariwala, Vinay Samavedham, Lakshminarayanan Braatz, Richard D. In this paper, we propose multi-scale models for a batch bioreactor, which are developed by expanding the so-called Herbert’s Microbial Kinetics (HMK) concept so that the effects of mixing conditions are incorporated via the inclusion of the aeration rate and stirrer speed into the microbial kinetics. By using the multi-scale models, we are able to optimize the batch bioreactor’s performances, i.e. yield and productivity, by adjusting the aeration rate and stirrer speed. Simulation and experimental studies on a batch (fermentation) bioreactor demonstrate the application of this approach, whereby the integration of the expanded HMK model with the Computational Fluid Dynamics (CFD) model of mixing, which we call it as a Kinetics Multi-Scale (KMS) model, is able to predict the experimental values of yield and productivity of the batch fermentation process accurately (with less than 5% errors). 2012 Conference Paper http://hdl.handle.net/20.500.11937/44640 IFAC fulltext |
| spellingShingle | Liew, Emily Nandong, Jobrun Samyudia, Yudi Multi-scale models for the optimization of batch bioreactors |
| title | Multi-scale models for the optimization of batch bioreactors |
| title_full | Multi-scale models for the optimization of batch bioreactors |
| title_fullStr | Multi-scale models for the optimization of batch bioreactors |
| title_full_unstemmed | Multi-scale models for the optimization of batch bioreactors |
| title_short | Multi-scale models for the optimization of batch bioreactors |
| title_sort | multi-scale models for the optimization of batch bioreactors |
| url | http://hdl.handle.net/20.500.11937/44640 |