DigiTwin is a £5M EPSRC funded programme grant, running from February 2018 until January 2023, led by the University of Sheffield in collaboration with the Universities of Bristol, Cambridge, Liverpool, Southampton & Swansea and ten industrial partners: Airbus, EDF energy, Leonardo Helicopters, LOC engineering, Romax Technology, Schlumberger, Siemens Gamesa, Siemens Turbomachinery, Stirling Dynamics and Ultra Electronics.

The aim of the project is to create a robustly-validated virtual prediction tool called a “digital twin”.

A digital twin is much more than just a numerical model: It is a virtualised proxy version of the physical system built from a fusion of data with models of differing fidelity, using novel techniques in uncertainty analysis, model reduction, and experimental validation.

The project will deliver the transformative new science required to generate digital twin technology for key sectors of UK industry: specifically power generation, automotive and aerospace.