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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.
Chaung Lin, Zhih Pao Lin, Wern Jiahn Jiang
Nuclear Science and Engineering | Volume 102 | Number 2 | June 1989 | Pages 134-139
Technical Paper | doi.org/10.13182/NSE89-A23638
Articles are hosted by Taylor and Francis Online.
A method based on a forward dynamic programming technique is applied to load-following control of a boiling water reactor. The control strategy obtained is optimal and satisfies operation constraints. A coarse-mesh, one-dimensional model using the two-group diffusion theory with Doppler, void, and xenon feedbacks is developed to reduce computer time. The control rods are assumed to be fixed during load maneuvers, and variations in core power are accomplished through core flow. An off-line daily load-following analysis needs ∼2000 CPU s on a PRIME 9950 computer. With some relaxation, computation time can be reduced to several hundred seconds. Thus, an on-line calculation that leads to an approximate closed-loop control is feasible.