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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.
Reijo Munther, Juhani Vihavainen, Heikki Kalli, Jyrki Kouhia, Vesa Riikonen
Nuclear Technology | Volume 119 | Number 3 | September 1997 | Pages 235-243
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT97-A35400
Articles are hosted by Taylor and Francis Online.
The RELAP5 calculation results for a series of gravity-driven emergency core-cooling (ECC) experiments with the parallel channel test loop (PACTEL) facility are provided. The simulated accident was a small-break loss-of-coolant accident with a break in one hot leg of the three loops of the facility. The ECC flow was provided from a core makeup tank (CMT) located at a higher elevation than the main part of the primary system. The CMT was pressurized with pipings from the pressurizer and a cold leg. The tests indicate that rapid condensation in the CMT influences the ECC flow. The experimental results are numerically analyzed using the RELAP5/MOD3.1 code. The calculations show good agreement with the tests except in the modeling of rapid condensation.
