Process Engineering

Decision support through model simulation with learning methods

Whether it is the design of a system or the question of an optimal control strategy for a process, such questions can rarely be answered in isolation, but must be considered in the context of many interconnected processes and procedures. Our focus in this field is especially on the industries and application fields of chemistry, pharmacy and biotechnology.

Our experience in mathematical and physical modeling and especially in decision support helps us to find targeted solutions for our customers and to get a grip on the complexity of the problems.  

Our goal is decision support through process simulation that uses learning methods to develop, analyze and precisely solve problems.

The Method Spectrum Includes:

  • Process optimization and decision support
  • Process simulation
  • Process modeling and substance data models
  • Molecular modeling and simulation
  • Design of Experiments

In addition to an efficient infrastructure for the processing of tasks in the field of MSO, the working group also has extensive laboratory and technical equipment at its disposal.

Example Projects

 

Optimal Design of Experiments

In process engineering, data is collected in experiments to calibrate models and fit digital twins to their real-life counterparts. We translate these into software tools.

 

Customized Simulation

Saving energy and costs through mathematics: Together with researchers from the University of Ulm, we are optimizing the processes of multiple partition wall columns.

 

Electrochemistry

Electrochemical processes make it possible to produce chemicals for industry cost-effectively, efficiently and sustainably.

 

Drinking Water Supply

We offer solutions for the optimization of drinking water supply.

 

Innovative Designs for Optimized Flow Fields in Reactors

We optimize flow fields to increase the efficiency and performance of electrochemical reactors.

Archiv

 

Mechanical Process Engineering

We develop decision support tools, which enable the detailed analysis of separate solutions and consider them in the context of the total number of solutions.

 

Nanotechnology

Our department has begun to couple our competence in mathematical optimization with nanotechnology to make this potential that results from large ratios between surface area and volume, available for industrial purposes.

 

Thermally driven High Performance Cooling

The goal of the Fraunhofer project THOKA was the development of adsorption cooling devices based on cheap energy resources like the sun of the excess heat of processes.