- Process and product synthesis/design
- Process dynamics, control and monitoring
- Digitalization of process industry
- Sustainability assessment
- Domain application (biological, pharmaceutical, food, bioenergy and materials)
More information about the programme and invited speakers will be released soon!
Title: Multiscale Modelling Modalities – Application to Industrial Digital Twins
by Deenesh Kavi Babi, PhD
Associate Manager & Process Expert at Novo Nordisk
"In an industrial context, the possibility to convert challenges into opportunities is paramount. Applied to biochemical processes that typically found in the pharmaceutical industry, this translates into having a common framework to (better) understand current processes (reactive) and, generate, test and select ideas for process improvement-optimization (proactive). Such a framework that can be successfully utilized is a Digital Twin because multiple types of Digital Twins exists, defined here as the 4Ps. More specifically, these are, product, process, production and performance Digital Twins. Therefore, if four types of Digital Twins exists then different modelling modalities are required. This is nothing new to process systems engineering (PSE) because different modelling modalities can be defined as different types of models to solve different types of problems. In PSE such an approach Multiscale Modelling. In this presentation the application of Multiscale Modelling for development, application and deployment of the 4Ps at Novo Nordisk will presented. It will be shown that multiscale modelling can successfully transition from R&D (predominantly university based) to R&D within the pharmaceutical industry and manufacturing".
Title: Optimal process operations and control of processes with degrading equipment
by Johannes Jaeschke, PhD
Associate Professor at Norwegian University of Science and Technology (NTNU)
"In this talk, we present and discuss the problem of jointly optimizing process operations and equipment usage for safe and reliable process operations. In many processes, there exists an inherent trade-off between increasing short-term benefits and long-term costs of process degradation. Examples include maximizing production in a chemical reactor subject to catalyst deactivation, degrading compressor and heat exchanger systems, and hydrocarbon production subject to sand erosion.
To avoid unplanned stops and repairs, condition-monitoring is frequently used to obtain information about the equipment condition in real-time. This information is then used for maintenance planning and safety systems. However, it is typically not included systematically for proactively optimizing the overall operation and control strategy. This can lead to suboptimal operation and underutilization of process equipment, including unnecessary maintenance stops with associated production loss. To address this, we propose an optimization-driven framework that ensures the optimal trade-off between short-term benefits and long-term costs due to equipment degradation.
After giving an introduction into the topic and outlining the challenges, we continue by proposing our framework for realizing a holistic optimization of process operations, taking reliability and safety into account. We provide some illustrative case studies and finish the talk with a discussion and an outlook on open problems and research opportunities for our community".
Title: Overall process optimization in life sciences industry – how to move forward?
by Jérôme Frutiger, PhD
Technology Expert at Bayer AG
"The production of pharmaceuticals, biopharmaceuticals and high-value chemicals, such as agrochemicals, is commonly optimized with respect to quality, capacity and sustainability. Since most of the manufacturing in life sciences industry is taking place in multistep batch processes, modeling and simulation frameworks need to take a procedure-oriented approach.
Both material flow models as well as mechanistic models allow various holistic optimization strategies for overall process design and operation. Among others, the evaluation of what-if-scenarios, stochastic parameter studies, as well as the combination of model-based and data-driven analysis tools are gradually being transferred from academic research to industrial application. Furthermore, advanced strategies are on the verge of usage in industry, such as online real-time optimization, artificial intelligence, constraint-programming or mixed-integer linear programming (MILP). Concerning the digitalization of the process industry, the key question nowadays is how model-based optimization tools can be used on-site in the production by both expert and non-expert users.
In this talk, applications of model-based process optimization in manufacturing at Bayer AG will be presented. Furthermore, the future trends and current challenges for both industry and academia on the way to on-site use of truly holistic, online, and real-time optimization are discussed".
Title: Polymer Reaction Engineering: It's role, Perspectives & Challenges
by Alexandr Zubov, PhD
Assistant Prof. at the University of Chemistry and Technology Prague, Czech Republic
"Polymer reaction engineering represents strongly interdisciplinary field incorporating elements of macromolecular chemistry and physics, chemical and material engineering, and of course mathematical modelling and process/systems engineering. Traditional role of polymer reaction engineers in the previous century was to design and optimize processes that would allow production of innovative structured polymeric materials with improved properties at low cost. However, tremendous success of this science bringing application of plastics to almost every aspect of our physical life has its downsides, such as dependency on crude oil as a raw material, and absence of reasonable end of product lifecycle, resulting in macro- and micro-pollution of water resources on various levels. Consequently, for many people the word “plastic” gained almost pejorative connotation in the twenty-first century, creating new challenges for polymer reaction engineers, in addition to those already existing. This lecture will try to present and discuss – especially from the mathematical modelling point of view – some of the hot and open topics of polymer science, including recycling of solid plastic waste, biodegradable plastics production, thermodynamics of polymeric systems, or on-line control of complex polymerization processes."