Objective of this research area is the systematic and efficient development of robust steady state and dynamic models, which are the basis for optimal design and efficient operation of processes. Core task is the systematic development and implementation of models to mitigate numerical issues and decrease plant-model mismatch, improve documentation, and data management.
We develop models that can be incorporated into the process simulators using our own modeling environment.
In order to be able to investigate dynamic processes in all their complexity, we are working on pressure-driven models to be able to investigate start-up and shut-down processes or malfunctions.
We study these aspects to develop model reformulations and initialization strategies to reduce convergence problems.