Advanced Facility Design and AI/ML Enabled Safeguards to Establish Secure, Economical Recycling of Fast Reactor Fuels
Argonne National Laboratory (ANL) and Oklo will develop crucial technologies in researching pyroprocessing for advanced fast reactor fuels. Pyroprocessing involves the use of high-temperature molten salts to enable the recycling and reuse of valuable nuclear materials from used fuel. Recycling improves the utilization of nuclear resources, generates less nuclear waste, and reduces the cost of fuel. The ANL team will develop a system to improve the safeguarding, security, and operations of future fuel reprocessing plants to support this outcome. The system comprises new advanced multimodal sensors that leverage machine learning-enabled algorithms to improve measurements and allow for the detection and diagnosis of off-normal events. The team will also create a digital twin for the reprocessing facility and perform studies to determine the minimal sensor set required to meet regulations for accountancy and control of the nuclear materials as part of this effort.
If successful, this project will enhance fission power prospects by lowering the cost and improving the utilization of nuclear fuel.