Research
The scientific focus of the Process Systems Engineering Group link network, model-based, data-driven and information technology concepts for the description and prediction of the behaviour of modular process systems.
Research Focuses
Simulation of Modular Process Plants
- Architecture for Co-Simulation
- Simulation-based dimensioning of modular plants
- Simulation models for digital companion technologies
Information and Data Models of Process Systems
- Semantic description of modules
- Orchestration of modular plants
- Digital twin as enabler for digital companion technologies
- Model-based derivation of modular process chains
- Model-based, partial HAZOP-analyses
Machine Learning / Smart Analytics
- Innovative methods of process identification
- Deep Learning with hypothesizing simulation models and process monitoring
- Modular system as carrier for sensor networks