Industrial digitalisation
The Industrial Digitalisation research area deals with the use of digital technologies in energy generation and energy-intensive industrial processes. The aim is to optimise the engineering, operational management and maintenance of plants and systems, e.g. with regard to energy efficiency, availability, throughput, service life and quality. Applications include renewable energy generation (hydropower, wind energy), the process engineering industry and electromobility.
The research area focuses on the following technologies:
- Physics-based, data-based and hybrid modelling of dynamic systems; digital twins
- Information modelling and integration in industrial and energy technology systems (e.g. OPC UA) OPC UA)
- Analysis of process data (statistical, rule-based, machine learning)
- Sequential optimisation of decisions (model predictive control MPC, reinforcement learning)
- Prognostics and health management: anomaly detection, fault diagnostics, estimation of remaining useful life
- Use of large language models (LLMs) and machine learning methods in engineering and operation
- Computer vision
Rooms
Our workstations are located in rooms R 3.096 and 4.042.
