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​​​​​​​​​​​​​​​​​​Plant Fuel-Reload Optimization​​

Goal

To develop an integrated platform that uses state-of-the art computational and modeling techniques and integrates all tasks required for plant fuel-reload into one automated process.​

Outcome

Researchers will develop an integrated platform that combines tasks for a fuel-reload analysis and fuel-pattern optimization. The integrated platform removes manual data transfer between tasks, eliminating human error, and the optimization capability allows for reduced fuel-batch size. This integrated platform also allows the transition from a deterministic approach to transient and accident analyses to a probabilistic (risk-informed) approach. The risk-informed approach to safety evaluations will enable additional reductions in fuel-batch size. The integrated platform will be ready for deployment to industry, giving utilities the option to perform fuel analyses in-house, independent from fuel vendors, which will provide additional savings. This work will assist industry with the transition to accident-tolerant fuels (ATFs) because the developed integrated platform and computational platform will be capable of performing evaluations of ATF during both the licensing phase and normal plant operations.

Planned major accomplishments​

ReactorCore
Sample optimized core design for maximizing 17x17 power fuel cycle length

Contact Information

Svetlana (Lana) Lawrence

Risk-Informed Systems Analysis (RISA) Pathway Lead
Idaho National Laboratory