Overview

Siemens is working in the field of digitalisation and sees deep process knowledge in the form of predictive models, that are closely integrated within the automation system, as key to the next wave of digitalisation of operations in the process industries.

The economics of such digital twin applications benefit significantly from re-using models that evolve over the asset lifecycle, incorporating knowledge and delivering value at every stage.

Siemens and PSE are working together to integrate the companies’ toolsets – from CFD, integrated engineering and online automation – to create digital twins for applications from R&D to intelligent digital operations.

Speaker

Chris Leingang, Siemens

Chris is a Business Development Manager in Simulation Solutions for Siemens Plc. Chris has numerous qualifications including a Masters degree from the University of Applied Sciences in Communications Technology. Chris has worked for Siemens for eight years, mainly in the areas of simulation and optimisation.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter’s own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Format

A one-hour online session: 40 minutes' presentation + 20 minutes' Q&A.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you'll need to be a member of the Process Management & Control Special Interest Group.

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