Events and Trade Shows

Exhibition Programme, Hall 6.0, Booth D49

Joint booth of the Fraunhofer Gesellschaft

Visit us at Achema 2024 and experience our innovative MTP demonstrator, developed as part of the SHAPID project!

The vision of modular, autonomous functional modules or Process Equipment Assembly (PEA) is becoming reality. Automation with the standardised Module Type Package (MTP) – a digital description of intelligent process engineering modules – is the key element for the rapid assembly and flexible, sustainable and resource-efficient operation of modular systems.

The Fraunhofer IFF is part of the Fraunhofer Chemistry Alliance and will be exhibiting together with a large stand at ACHEMA 2024. You will find us in Hall 6.0, Stand D49. 

Congress Programme, June 11, 2024, 10:00 a.m. to 12:00 p.m.

»Emerging (Digital) Technologies in Process Industries« (Session host)

Sven Schiffner, Fraunhofer IFF

Congress Programme, June 13, 2024, 4:30 p.m. to 5:00 p.m.

Knowledge-Module – The Link Between Digital Twin and Simulation

Sven Schiffner, Fraunhofer IFF

The process monitoring and control of production plants is constantly facing new challenges in order to avoid undesired process states and faulty production, even though the processes have been established industrially for decades. An intelligent digital twin can make a significant contribution to increasing efficiency in process operation. With the help of the digital twin, it is possible to map the current status of the physical plant under consideration and predict its future behaviour. The intelligence of the digital twin is characterised by the fact that the underlying models lead to decisions much faster than in real time thanks to extensive continuous (offline/online) data acquisition with a very high level of detail and a high degree of processing. This makes both predictions and operational optimisations possible. In addition to the actual digital twin, a communication interface is described that enables interaction between the simulation results and the digital process image. The actual simulation is preceded by a so-called knowledge module. This is used to calibrate and consolidate the data. The simulation results are interpreted here with the help of soft sensors.