Literature DB >> 33215237

Digital Twins for Bioprocess Control Strategy Development and Realisation.

Christian Appl1,2, André Moser1, Frank Baganz2, Volker C Hass3,4.   

Abstract

New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-effective development, realisation and optimisation of control and automation strategies. They may be utilised for the development and implementation of conventional controllers (e.g. temperature, dissolved oxygen, etc.), as well as for advanced control strategies (e.g. control of substrate or metabolite concentrations, multivariable controls), and the development of complete bioprocess control. This chapter describes the requirements Digital Twins must fulfil to be used for bioprocess control strategy development, and implementation and gives an overview of research projects where Digital Twins or "early-stage" Digital Twins were used in this context. Furthermore, applications of Digital Twins for the academic education of future control and bioprocess engineers as well as for the training of future bioreactor operators will be described. Finally, a case study is presented, in which an "early-stage" Digital Twin was applied for the development of control strategies of the fed-batch cultivation of Saccharomyces cerevisiae. Development, realisation and optimisation of control strategies utilising Digital Twins.

Entities:  

Keywords:  Bioprocess; Control strategy development; Digital Twin; Operator training simulator (OTS)

Year:  2021        PMID: 33215237     DOI: 10.1007/10_2020_151

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  6 in total

1.  Adaptive, model-based control by the Open-Loop-Feedback-Optimal (OLFO) controller for the effective fed-batch cultivation of hybridoma cells.

Authors:  Björn Frahm; Paul Lane; Hendrik Atzert; Axel Munack; Martin Hoffmann; Volker C Hass; Ralf Pörtner
Journal:  Biotechnol Prog       Date:  2002 Sep-Oct

2.  Improvement of a mammalian cell culture process by adaptive, model-based dialysis fed-batch cultivation and suppression of apoptosis.

Authors:  B Frahm; P Lane; H Märkl; R Pörtner
Journal:  Bioprocess Biosyst Eng       Date:  2003-09-20       Impact factor: 3.210

3.  Data-driven digital twin technology for optimized control in process systems.

Authors:  Rui He; Guoming Chen; Che Dong; Shufeng Sun; Xiaoyu Shen
Journal:  ISA Trans       Date:  2019-05-15       Impact factor: 5.468

4.  Operator training in recombinant protein production using a structured simulator model.

Authors:  Inga Gerlach; Simone Brüning; Robert Gustavsson; Carl-Fredrik Mandenius; Volker C Hass
Journal:  J Biotechnol       Date:  2014-03-11       Impact factor: 3.307

5.  Model-based fed-batch for high-solids enzymatic cellulose hydrolysis.

Authors:  David B Hodge; M Nazmul Karim; Daniel J Schell; James D McMillan
Journal:  Appl Biochem Biotechnol       Date:  2008-05-30       Impact factor: 2.926

6.  "BioProzessTrainer" as training tool for design of experiments.

Authors:  Ralf Pörtner; Oscar Platas-Barradas; Janosh Gradkowski; Richa Gautam; Florian Kuhnen; Volker C Hass
Journal:  BMC Proc       Date:  2011-11-22
  6 in total

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