The Supply and Delivery of a Multiphysics Model and Furnace Digital Twin

We have directly awarded this contract under the Prototypes and Development criteria. The project involves significant technical uncertainty, rapid iteration, and close integration of computational fluid dynamics (CFD), thermodynamics, and glass melt chemistry with artificial intelligence and machine learning. These are highly specialised capabilities that cannot be sourced through a standard competitive procurement process without significantly increasing project risk. The supplier to which we have awarded the contract has a proven track record of high profile digital twin development using CFD-based approaches that can be a) have their parameters adjusted via a GUI to afford a fast, novel simulation environment and b) graphically visualised using state-of-the-art graphic rendering computed at the point of simulation. Moreover, they are experienced in the use of open-source development environments and are experienced in the integration of multiple data sources and development platforms