Collaborative Research Center/Transregio 63
"Integrated Chemical Processes in Liquid Multiphase Systems"
Researchers: M. Sc. Stefanie Kaiser, Dipl.-Inf. Tim Janus, M. Sc. Fabian Huxoll, M. Sc. Karsten Rätze
Subproject D1 sets out to perform an integrated model-based process development for the two model reactions of the rhodium-catalyzed reductive amination of undecanal with diethylamine and the integration with the hydroformylation step leading to the hydroaminomethylation of n-decene. Performing the reactions in a thermomorphic solvent system (TMS) and in a micellar system (MLS) will be considered.
The planned workflow is depicted in the graphic below.
In close collaboration of several groups, kinetic experiments will be performed and used to parameterize kinetic models, the thermodynamic behavior of the mixtures will be modeled and on this basis a first optimization of the reactor and of the flowsheet will be conducted. Based on first experiments and process models, promising operating windows that lead to an economically viable process will be identified. The optimization will be performed using the Flowsheet Superstructure Optimization platform FSOpt which was developed in the first two funding periods (subproject C1E). The information from the process simulations and optimizations are used for defining maximally informative laboratory experiments and the results of these experiments are used to improve the models. The reaction part of the optimized processes will be validated at the miniplant scale in subprojects D2 and D3. The results of the miniplant experiments will provide information for further improving the designed process flowsheets.
It is expected that this close interdisciplinary connection between design of experiments, model development and process optimization will significantly reduce the experimental effort and the time for process development.
Based on the experience gained from the two case studies, the tools and methods for modelling thermodynamic properties and reaction kinetics, optimization of the reaction step and process design under uncertainties will be integrated into an iterative procedure for process design driven by model-based economic optimization.
A11 (Seidensticker, Vogt): Homogeneously catalyzed reductive amination of long-chain aldehydes and hydroaminomethylation of long-chain alkenes with integrated catalyst separation in thermoregulated phase systems
D3 (Skiborowski, Vogt): Development and testing of integrated reaction and catalyst separation for the homogenously catalyzed reductive amination and hydroaminomethylation of long chain alkenes in a miniplant
Janus, T.; Cegla, M.; Barkmann, S.; Engell, S. Optimization of a hydroformulation process in a thermomorphic solvent system using a commercial steady-state process simulator and a memetic algorithm. 29th European Symposium on Computer Aided Process Engineering, 29, 469-474, 2019. [DOI: 10.1016/B978-0-12-818634-3.50079-5]
Nentwich, C.; Engell, S. Surrogate modeling of phase equilibrium calculations using adaptive sampling. Comput. Chem. Eng., 126, 204–217, 2019. [doi.org/10.1016/j.compchemeng.2019.04.006]
Nentwich, C.; Winz, J.; Engell, S. Surrogate Modeling of Fugacity Coefficients Using Adaptive Sampling. Industrial & Engineering Chemistry Research 58 (40), 18703-18716, 2019. [DOI: 10.1021/acs.iecr.9b02758]