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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Thomas Moore, Mike Steer, Marco Delchini, Mathieu Martin, Brian Woods
Nuclear Technology | Volume 206 | Number 6 | June 2020 | Pages 862-894
Technical Paper | doi.org/10.1080/00295450.2019.1667186
Articles are hosted by Taylor and Francis Online.
In support of the restart of the Transient Reactor Test (TREAT) Facility at the Idaho National Laboratory, an analysis of a historic sodium loop experiment is performed. With the aging of the data and the beginning of a new campaign of transient testing, it is an ideal time to perform a modern analysis of a previously successful transient testing campaign. This work investigates many prior tests and ranks these tests for desirability of analysis using modern computational fluid dynamics (CFD) tools. Once the testing data were collected, necessary drawings were used to build a three-dimensional model of the test loop for CFD analysis. This geometry was then used to perform a multi-resolution analysis of the test loop. Three different resolution analyses were performed: a macroscale analysis detailing average flow characteristics in the test section using STAR-CCM+, a more refined analysis that investigated the thermal profile within the test section in more detail using STAR-CCM+, and a fine-mesh analysis that aims to lend credibility to the turbulence modeling performed in the lower-resolution analyses using Nek5000. The main goal was to show the feasibility of using modern computational tools for experiments performed at TREAT. With this analysis performed, a methodology has been outlined for future work to follow when analyzing the data from future TREAT tests. The more refined STAR-CCM+ analysis showed the best results when compared with data, showing that simulating the solid structures is an important feature of the analysis.