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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.
Byung Soo Moon
Nuclear Science and Engineering | Volume 126 | Number 1 | May 1997 | Pages 115-118
Technical Paper | doi.org/10.13182/NSE97-A24463
Articles are hosted by Taylor and Francis Online.
The major difficulties encountered in controlling the steam generator water level swell and shrinkage are analyzed. A mathematical model based on the amount of steam generated by depres-surization during the periodic steam dump is used to predict the level changes. When the existing proportional integral controller is applied to the negative of these predicted level changes and the output is added to the controller output for the normal level error, it is found that the water level does not go down below the lower limit or up beyond the higher limit. This control algorithm is tested on a model steam generator, and the results show it is capable of handling the difficulties in the control of the level swell and shrinkage.