Whether it is the design of a plant 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 intertwined processes and sequences. 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.
Raw material and energy changes, changes in the markets as well as requirements for economic efficiency and sustainability require the continuous further development of existing and the development of new processes in the chemical industry. Modeling, simulation and optimization (MSO) are elementary in decision support in the planning phase and key to the success of this work. Central to this is an adaptation of the level of detail in each of the three pillars to the questions posed by the planners:
- Process modeling includes both material and plant models, which may be more abstract or more detailed, depending on the requirements.
- Process simulation must provide powerful algorithms that allow fast and robust evaluations.
- Process optimization serves to support decision-making and systematically embeds individual solutions in an overall horizon that is made available to the planner interactively.
Process engineering and mathematical methods are always combined. Both disciplines are organizationally linked in a cooperation between the Fraunhofer ITWM and the TU Kaiserslautern in the working group MSO Process Engineering.
The method spectrum includes:
- Process optimization and decision support
- Process simulation
- Process modeling and material data models
- Molecular modeling and simulation
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.