A digital twin is a virtual representation of a physical process or product. It is used to simulate how its physical counterpart will perform throughout its lifecycle. Digital twins can evolve with the real-time flow of data from a real-world system, helping developers understand and control the performance of the physical process or product. They also help developers overcome process uncertainties and deal with unforeseen fluctuations as they occur.
Associate professor Jan Kloppenborg Møller, Dr Goran Goranovi?? and Professor Henrik Madsen from the Technical University of Denmark (DTU) and Dr Per Brath from Grundfos (currently at Danfoss) have developed a digital-twin methodology called the Stochastic Greybox Modelling and Control that accounts for uncertainties and random changes. They demonstrate its suitability for industrial use with an example application to fluid ultrafiltration.