Webinar: Visual Data Analytics for Physics-based Modelling of Power Plants
Recorded on June 30th, 2022.
Physics-based models are an important type of “digital twin”. A challenge in practice, however, is that the performance characteristics of the equipment in the model must be accurately adjusted to match the characteristics of the real equipment ‘as built’ across a large variety of operating conditions.
In this webinar, the Austrian expert company ENEXSA illustrates their approach to building thermodynamic models of power plants. The energy experts show, how Visplore supports them in the data selection process and how they can deeply verify model accuracy after the fine-tuning of the model has been completed.
The webinar also includes an overview how Visplore supports the development of digital twins in general, and concludes with a Q&A session.
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You may also find this user story relevant:
https://visplore.com/use-case/building-physically-plausible-digital-twins/
