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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.
Song Yu, Zhao Jiaqing, Zhang Yiyang, Wu Xinxin (Tsinghua Univ)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 543-548
In this paper, the influence of four different entrances and exits to flow maldistribution in air-cooled heat exchangers is presented. The flow and heat transfer are computed by the numerical solution of the governing partial differential equations including the conservation equations of mass, momentum and energy. The flow maldistribution of each heat transfer tubes of four different cases are analyzed, so as the heat transfer rate. The heat transfer rate average deviation is much smaller than flow average deviation. Slight differences of total heat transfer rate are found for different cases. The reason of this phenomenon is related to the relationship between flow and heat transfer rate and the heat resistance distribution. The flow pattern in different tubes and the resistance performance of different cases are compared.