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United StatesEnergy and utilities2022 – ongoing

Constellation Energy

Blue Wave AI reactor sensor monitoring and fuel optimization

Constellation operators confirmed sensor faults predicted by Blue Wave AI at Limerick

WorkingVendor case study

Problem

Reactor sensors could drift out of calibration. Incorrect readings could force operators to reduce power or shut down a reactor as a precaution.

Approach

Blue Wave AI Labs tested machine-learning tools at Constellation's Peach Bottom and Limerick plants from 2022 under a DOE-supported project. The tools analyzed historical plant data to assess sensor readings and support fuel planning. At Limerick 2 in 2023, operators took suspect sensors offline; later calibration confirmed the predicted faults.

Results

No published figures

Takeaway

Subsequent calibration provided a physical check on the sensor predictions. Fleet-wide financial savings remained expectations.

Categories

Business function
Production and quality
Innovation type
Process innovation
Evidence
Vendor case study

Sources

  1. New AI Tools Could Save Constellation Reactor Fleet Millions
    U.S. Department of Energy26 Mar 2024Government publication

Source summaries

[1]U.S. Department of Energy26 Mar 2024

DOE described Blue Wave's deployment at Constellation plants and the confirmation of miscalibrated sensors at Limerick. It also discussed fuel-planning improvements and prospective savings, without reporting realized fleet-wide dollar savings.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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