Prof. Claus Emmelmann, Institute of Laser and System Technologies (iLAS);
Prof. Stefan Heinrich, Institute of Solids Process Engineering and Particle Technology (SPE);
Prof. Raimund Horn, Institute of Chemical Reaction Engineering (ICRT);
Prof. Andreas Liese, Institute of Technical Biocatalysis (ITB);
Prof. Irina Smirnova, Institute of Thermal Separation Processes (TVT);
Ongoing digitalization in process engineering leads to completely new requirements for chemical and biochemical processes, but offers huge potential for more flexible and sustainable production as well. In a globalized market the change in raw materials and an increasing supply of renewable energies require processes which can react to changing conditions within a very short time. Personalized products and shorter cycle times of new variants require flexible processes for small quantities, which can be built up and stopped quickly and inexpensively. Strict requirements from legislators and regulatory authorities make a deep understanding of processes according to a "Quality by Design" indispensible.
These enormous demands on modern production processes require a radical rethinking in the design and operation of reactors for biotechnology, pharmacy and chemistry. In the future, flexibility of processes is more important than "economy of scale". Reactors of the future have to be "smart", i.e. quickly and flexibly adaptable to changing raw material qualities, energy sources and individual demands. In addition, "smart" reactors will be able to independently identify problems in the process (e.g. increasing pressure losses due to blockages, hot spots due to dead volumes, incomplete reactions due to short-circuit flows, poor heat transfer through scaling and fouling) and react autonomously, e.g. through changed throughputs, adapted heat supply or removal, as well as geometrical changes of internal structures.
However, in order to be able to intervene directly and specifically in case of a suboptimal process behavior, a deep understanding of the process is essential which can be acquired by using predictive models and simulations, and ideally leads to a simultaneously running, virtual process (a digital twin). Fast and non-invasive measurement techniques with high resolution, data-driven validated cross-scale models and simulation methods, intelligent control mechanisms, and new, intelligently structured reactors are required.
The scientific goal of this I3 Lab is a knowledge-based design of "smart reactors", which enable significantly higher yields in chemical and biochemical reactions through an optimal reaction environment. This is realized by geometrically forced adaptation of transport and reaction processes at all scales.
Within the reactor, molecular diffusion from and to the bio- and chemocatalytically active surface (hierarchically structured catalysts) and mass transfer through boundary layers as well as mixing and separation of products and by-products should be optimized by a knowledge-based structuring in such a way that a massive increase of product quality and resource efficiency is enabled. The required complex geometry and variety of materials has only recently been implemented by using fast additive manufacturing technologies.