Digital Twins for Bioprocess Control Strategy Development and Realisation
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
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Digital Twins for Bioprocess Control Strategy Development and Realisation Christian Appl, André Moser, Frank Baganz, and Volker C. Hass
Contents 1 Introduction 2 Advanced Bioprocess Control Development, Realisation and Optimisation Using Digital Twins 2.1 General Approach 2.2 Design of Digital Twins as Control Strategy Development Tools 2.3 Control Strategies for Bioprocesses 2.4 Digital Twin Based Development, Realisation and Optimisation of Control Strategies for Bioprocesses 3 Digital Twins as Training and Educational Tools 4 Case Study 4.1 Digital Twin “SSF-BC-Simulator” 4.2 Digital Twin Based Development of Control Strategies for the Cultivation of S. cerevisiae 5 Conclusion and Future Perspectives References
C. Appl and V. C. Hass (*) Faculty of Medical and Life Sciences, Furtwangen University, Villingen-Schwenningen, Germany Department of Biochemical Engineering, University College London, London, UK e-mail: [email protected]; [email protected]; [email protected]; [email protected] A. Moser Faculty of Medical and Life Sciences, Furtwangen University, Villingen-Schwenningen, Germany e-mail: [email protected] F. Baganz Department of Biochemical Engineering, University College London, London, UK e-mail: [email protected]
C. Appl et al.
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. Graphical Abstract Development, realisation and optimisation of control strategies utilising Digital Twins
Control Strategies Transfer of preselected control strategy to Digital Twin
Digital Twin Improvement of control strategy
Evaluaon of control result Control target is achieved
Opmised Control Strategy Transfer to bioprocess
Bioprocess
Keywords Bioprocess, Control strategy development, Digital
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