Dynamic processes, influenced by Batch processes, equipment failures, demand-related production fluctuations, seasonal or meteorological fluctuations, etc. cannot be adequately depicted by static models. In order to attain reliable evaluations, dynamic process models with a suitable toolset, capable of simulating complex systems, are required.
Appropriate parameter studies, sensitivity analyses and "what-if" scenarios create the basis for developing an in-depth understanding of system behaviour, which in turn is a prerequisite for optimizing the performance of the system. A modular and hierarchical multi-domain approach allows testing of different system concepts and control strategies in a relatively short time. This allows potential weaknesses to be identified at an early stage, thus avoiding unforeseen costs during the commissioning of new plants.
In the Fluid Mechanics and Numerical Methods Competence Center, the Modelica™ modelling language is used for the development and application of dynamic process models.