Welcome to the DFG Collaborative Research Center CRC 1615 SMART Reactors
We are facing the societal challenges of transforming economic and production chains from fossil raw materials to sustainable and renewable raw materials. However, these can fluctuate seasonally and geologically in their availability and quality. Society therefore urgently needs processes and reactors that can respond flexibly to fluctuating raw material properties. To enable such adaptation, a very high level of process control is required: pressures, temperatures, concentrations and dispersed phases must be monitored continuously and in situ in the reactors using suitable sensors.
As part of the Collaborative Research Center, we aim to address this issue and enable SMART reactors through basic research. In the future, the SMART reactors will convert sustainable renewable resources into different products (multi-purpose) in a more sustainable way and operate autonomously (self-adapting), which will lead to more resilient processes that are more transferable between scales and locations.
To achieve our vision, interdisciplinary collaboration between process engineering, materials science and electrical engineering with physicists, chemists, mathematicians and data scientists from Hamburg University of Technology and five research institutions enables the focusing of expertise and unique experimental facilities.
Within the framework of this website, we would like to give you an insight into the individual subprojects, publications related to the CRC, upcoming events and career opportunities within the Collaborative Research Center.
Leuphana University involved in new DFG-Collaborative Research Centre
Together with Professor Alexandra von Kameke from HAW Hamburg, Prof. Dr. Kathrin Padberg-Gehle is leading the project "From sensors and trajectories to transport and mixing".
Their project is about a better understanding of transport and mixing processes in chemical reactors. The aim is to identify zones with poor mixing and thus reduce their negative influence on reaction yield and the formation of by-products.
Prof. von Kameke's team will collect experimental measurement data for this purpose, for example using sensors and high-resolution particle tracking. These data will then be analysed by Professor Padberg-Gehle and her team at Leuphana using novel Lagrangian methods, in particular to investigate the local and temporal variability of transport and mixing processes. The knowledge gained in this way will be used to develop targeted mixing optimisation in SMART reactors.