AI Small Modular Reactor Operations
AI systems for operating and optimizing small modular nuclear reactors
The Problem
“Optimize SMR operations amid complex constraints”
Organizations face these key challenges:
1
High data volume and signal complexity makes early fault detection difficult; alarms are often late, noisy, or non-diagnostic
2
Unplanned trips and conservative operating margins reduce capacity factor and restrict load-following participation
3
Maintenance planning is fragmented across systems (historians, CMMS, vendor reports), limiting root-cause learning and driving unnecessary preventive work
Impact When Solved
20–40% reduction in unplanned outage hours through early detection of degradation and optimized maintenance windows5–15% reduction in maintenance OPEX via predictive work orders, optimized spares, and fewer unnecessary inspections1.0–2.0 percentage-point increase in capacity factor and improved load-following flexibility, adding ~$1.6–$4.8M/year per 300 MWe unit at $60–$90/MWh
Real-World Use Cases
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