Faculty of Medical and Life Sciences, Furtwangen University, Villingen-Schwenningen, Germany.
Department of Biochemical Engineering, University College London, London, UK.
Adv Biochem Eng Biotechnol. 2021;177:63-94. doi: 10.1007/10_2020_151.
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.
新的创新型数字孪生体可以表示复杂的生物工艺过程，包括生物、物理化学和化学反应动力学，以及反应器和相关外围设备的机械和物理特性。数字孪生体是快速、经济有效地开发、实现和优化控制和自动化策略的理想工具。它们可用于开发和实施传统控制器（例如温度、溶解氧等），以及先进的控制策略（例如基质或代谢物浓度控制、多变量控制），并开发完整的生物过程控制。本章描述了数字孪生体用于生物过程控制策略开发和实施的要求，并概述了在这方面使用数字孪生体或“早期阶段”数字孪生体的研究项目。此外，还将描述数字孪生体在未来控制和生物工艺工程师的学术教育以及未来生物反应器操作人员的培训中的应用。最后，介绍了一个案例研究，其中使用“早期阶段”数字孪生体开发了酿酒酵母分批补料培养的控制策略。利用数字孪生体开发、实现和优化控制策略。
