Category: Case Study – Nuclear

AI-Powered Reload Planning

A data-driven model for predicting moisture carryover (MCO) in the General Electric Type-4 boiling water reactor (BWR) was constructed using a physics-constrained artificial intelligence technique. An accurate prediction of the MCO is of great value for commercial BWR operators as it can be used to modify the operational plan during a power cycle to mitigate…
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Characterizing Chaotic Systems (Chattering Valves in Nuclear Reactors)

Blue Wave AI Labs partnered with Southern Nuclear Power (SNP) to detect chattering in Boiling Water Reactor (BWR) safety valves and their component failure, as faulty reactor components can lead to downtime and consequently millions of dollars in lost revenue. Under certain operating conditions in a nuclear power plant’s boiling water reactor (BWR), a condition…
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Moisture Carryover (MCO) in Nuclear Reactors

Boiling water reactors (BWRs) require one to remove liquid moisture from a two-phase mixture as it exits the core. But excess moisture carryover (MCO) can lead to the intergranular stress corrosion cracking of turbine blades, along with damage to other plant components. Too much MCO can also cause an increase in employees’ exposure levels to…
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