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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.
Kuan-Jan Lin, Chaung Lin
Nuclear Science and Engineering | Volume 130 | Number 1 | September 1998 | Pages 128-140
Technical Paper | doi.org/10.13182/NSE98-A1995
Articles are hosted by Taylor and Francis Online.
A knowledge-based expert system was developed for generating a pressurized water reactor fuel reload design. First, an initial loading pattern was generated according to the fuel assembly's infinite multiplication factor, by using heuristic rules. Then, the fuel assembly was swapped or rotated, using heuristic rules, to satisfy an assumed search target. The search target was the defined nuclear enthalpy rise hot-channel factor FH at each fuel assembly location. When FH's of a trial loading pattern satisfied the search target, the pattern met the design limit at each exposure checkpoint for all control rods out and D-bank control rods half-inserted conditions, which is the design requirement. The developed program successfully generated several reload cycles for the Maanshan nuclear power plant in Taiwan.