Within NorthWind, we defined digital twin as a virtual representation of a physical asset and its applications, including real-time prediction, optimisation, monitoring, control, and improved decision making. Furthermore, we adapted the capability level scales presented in the DNV GL report to serve as a common understanding within the NorthWind consortium.
The capability level will now be reported on a scale of 0-5 (0-standalone, 1-descriptive, 2-diagnostic, 3-predictive, 4-prescriptive, and 5-autonomous). As a starting point, a standalone and descriptive digital twin of the Bessaker Wind farm was developed in Augmented Reality using the Holo lens. A multiscale wind and noise prediction model along with the wind production and measurement data from the wind farm are fed into the digital twin. A user can then interact with the dataset using hand gestures. The visualisation sandbox is currently at TRL 3 and will be improved to TRL 4 to allow for interactions with online datasets and to improve intersystem interoperability. Moreover, we will improve on the visualisation control to allow for better user input interactions.