ThermoPhys Digital Twin
A planned digital twin framework combining physical models with system-level data for operational insight and decision support.
ThermoPhys Digital Twin is a framework for extending physics-based engineering models into operational and data-driven environments. It combines advanced thermophysical models with system-level data to support insight, analysis, and decision-making throughout the asset lifecycle.
The framework is designed for safety-critical processes and energy systems where reliable physical modelling remains essential beyond the design phase.
What the Digital Twin is used for
The ThermoPhys Digital Twin is used in applications where engineering models are combined with operational data to support monitoring, optimisation, and long-term asset management.
Built for engineering teams
Integrated tools designed to reduce manual work, limit errors, and improve confidence in engineering decisions.
Reduce energy use and operational cost
Maintain a consistent modelling foundation from design to operation
Improve understanding of system behaviour
Improve understanding of system behaviour under real operating conditions
Maintain safety
Support data-driven decisions with physically grounded models
Extend the lifetime of the asset
Reduce uncertainty when evaluating changes or optimisation measures