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  4. A new concept for the rapid development of digital twin core models for bioprocesses in various reactor designs
 
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A new concept for the rapid development of digital twin core models for bioprocesses in various reactor designs

Citation Link: https://doi.org/10.15480/882.13338
Publikationstyp
Journal Article
Date Issued
2024-09-06
Sprache
English
Author(s)
Moser, André  
Appl, Christian  
Pörtner, Ralf 
Bioprozess- und Biosystemtechnik V-1  
Baganz, Frank  
Hass, Volker C.  
TORE-DOI
10.15480/882.13338
TORE-URI
https://hdl.handle.net/11420/49274
Journal
Fermentation  
Article Number
463
Citation
Fermentation 10 (9): 463 (2024)
Publisher DOI
10.3390/fermentation10090463
Scopus ID
2-s2.0-85205216689
Publisher
Multidisciplinary Digital Publishing Institute
Peer Reviewed
true
In this research work, a new software tool concept and its application for the rapid and flexible development of mechanistic digital twin core models for bioprocesses in various reactor designs are presented. The newly developed software tool concept automatically combines user-selected submodels into an overall digital twin core model. The main part is a biokinetic submodel, of which three were designed for enzymatic, microbial and biocatalytic processes, which can be adapted to specific processes. Furthermore, the digital twin core model contains a physico-chemical submodel (e.g., calculating pH or oxygen transfer) and a reactor submodel. The basis of the reactor submodel is an ideally mixed stirred tank reactor. The biokinetic submodel is decoupled from the reactor submodels and enables an independent parameterisation of submodels. Connecting ideally mixed stirred tank reactor models allows for the simulation of different reactor designs. The implementation of an executable digital twin core model was accelerated, creating a new software tool concept. When the concept was applied, the development time and the computing time of digital twin core models for the cultivation of <i>Saccharomyces cerevisiae</i> in two coupled stirred tank reactors as well as for enzymatic hydrolysis processes in a packed-bed reactor were reduced by 90%.
DDC Class
004: Computer Sciences
660: Chemistry; Chemical Engineering
519: Applied Mathematics, Probabilities
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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