Ongoing change in availability and price of raw materials and commodities, the change of energy policies, changes of markets and a stronger demand for efficiency and sustainability ask for continuous improvement of current and for development of new processes in the chemical industry. Modelling, simulation and optimization (MSO) are nowadays major keys for innovation in this complex domain. Decisive for success is the right choice of the level of detail of the used models with respect to the application under consideration and the following criteria:
- A good model will cover simultaneously material properties as well as plant layouts, either chosen in a coarser or in a finer representation depending from the posed problem and from the questions to answer.
- For the simulation part powerful algorithms will be needed that allow fast and robust evaluations.
- A practically relevant optimization will embed single solutions into a decision horizon that interactively can be explored and assessed by a decision maker.
In any case methods from process engineering, chemistry, physics and mathematics as well as computer science have to be combined in order to satisfy the customers and partners needs. This range of expertise is fully available in a cooperation of Fraunhofer ITWM and the University of Technology, Kaiserslautern, established in the working group “MSO process engineering” founded in spring 2012.
- Process optimization and decision support
- Process simulation
- Process modelling and substance models
- Molecular modelling and simulation
Besides excellent skills in the aforementioned scientific methods the working group is endowed with a powerful infrastructure in process engineering labs and IT-technology.