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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.
D. Y. Hsia, P. Griffith
Nuclear Science and Engineering | Volume 78 | Number 4 | August 1981 | Pages 431-437
Technical Note | doi.org/10.13182/NSE81-A21380
Articles are hosted by Taylor and Francis Online.
Steam generator pressure drop versus flow rate instability during a loss-of-coolant accident in a pressurized water reactor has been investigated. The steam generator is simulated by four tubes, each with a different height, on top of a two-dimensional quarter-circle inlet plenum. This work deals with only an adiabatic air-water system. The pressure drop was found to be practically constant in the range of 3 jg 10 m/s. Within this range, the pressure drop depends only on the liquid flow rate. The plenum details do not matter. A model using an average flow for each tube does a good job in estimating the pressure drop. The flow distribution can be conservatively estimated by the proposed model based on a single, average tube pressure drop minimum.