Digital Twin-Based Asset Performance and Reliability Diagnosis for the HTGR Reactor Cavity Cooling System Using Metroscope
Project Innovation + Advantages:
Framatome aims to reduce advanced reactor costs by leveraging advanced diagnostics methods to demonstrate feasible fault detection with an optimized set of sensors; develop reliable automatic fault detection algorithms on wide range of systems; and minimize the resources required to perform fault detection. Framatome will develop two novel digital twins for use with Metroscope, a software package that connects digital twins and their associated fault libraries and monitors them with an algorithm to detect problems early on. The digital twins will simulate a passive cooling system with internal thermal hydraulic faults and a typical cooling circuit with different operating modes and control states. They will be paired with Argonne National Laboratory’s Natural Convection Shutdown Heat Removal Test Facility, representing the reactor cavity cooling system of Framatome’s steam cycle high-temperature gas-cooled reactor. Digital twins will allow for sensor sensitivity and reliability to be characterized and optimized.
The program goal is to reduce fixed O&M costs from ~13 $/MWh in the current fleet to ~2 $/MWh in the advanced fleet. Benefits include: