SAFARI: Secure Automation For Advanced Reactor Innovation
Project Innovation + Advantages:
The University of Michigan will develop physics-based, model-centric, and scalable capabilities, data-enabled via AI-enhanced algorithms, to achieve unprecedented integrated state awareness for advanced reactor power plants. Individual modules include (1) a scalable digital twin that combines different scales and different fidelities as needed; (2) a maintenance proactive evaluator to monitor usage and assess the health conditions and maintenance needs of advanced reactors; (3) an operations intelligent controller to achieve autonomous control during normal and accident conditions; and (4) an O&M deep supervisor to supervise O&M conditions. The team will first validate the product using a molten salt loop operating at the University of Michigan and apply it to the Kairos Power fluoride salt-cooled high temperature reactor design to demonstrate how the proposed capability can be used to aid and optimize the plant design; optimize sensor location; provide autonomous control, including load following; and allow for predictive maintenance.
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: