Strategic agreement highlights AI role in nuclear energy

Strategic agreement highlights AI role in nuclear energy

Business news |
By Jean-Pierre Joosting

Blue Wave AI Labs has announced an agreement with Constellation — the largest producer of carbon-free energy in the USA — to supply its products in support of Constellation’s fuel reload design and cycle management processes for the company’s entire fleet of boiling water reactors. The long-term agreement covers Blue Wave’s cloud-based Nuclear-AI Platform components: Eigenvalue and forecasting products.

These services will enable Constellation to design and operate more energy-efficient and cost-effective nuclear fuel cycles with potential savings of millions of dollars in fuel costs annually. Additional benefits such as asset protection (e.g., turbine blades) and improved efficiency of electric output can be realized. 

Infineon and SensiML collaborate on data capture, machine learning

“Constellation has worked with Blue Wave over the last four years to unlock powerful new capabilities with Machine Learning which allows us to reach new levels in nuclear fuel cycle planning and efficiency,” said Jason Murphy, Vice President for Nuclear Fuels at Constellation. “This can lead to reduced fuel costs and insights into core design and cycle management as new fuel strategies are introduced. This AI-based solution allows new levels of design and operational control, enabling increased clean energy availability for our customers and the communities where we operate.” 

MIPI CSI-2 camera specification targets AI and machine vision

The agreement between Blue Wave and Constellation marks the start of a new era of AI integration in nuclear fuel design and management. Blue Wave AI Labs and their services will help Constellation meet the demands of an efficient and affordable clean-energy future.

At the recent NEI 2021 Annual Meeting, the Nuclear Energy Institute (NEI) jointly recognized Constellation and Blue Wave AI Labs with a Top Innovation Practice (TIP) award for “Moisture Carryover (MCO) Predictions through Neural Networks.” The prestigious award in the nuclear fuel category recognizes creative ideas that have substantial impact on improving the safety and reliability of nuclear energy.

If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :    eeNews on Google News


Linked Articles