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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.
E. Rolstad, K. D. Knudsen
Nuclear Technology | Volume 13 | Number 2 | February 1972 | Pages 168-176
Technical Paper | Fuel | doi.org/10.13182/NT72-A31051
Articles are hosted by Taylor and Francis Online.
Fuel performance studies at the Halden reactor have given valuable information on how various design parameters affect the mechanical interaction between fuel and cladding. The experiments have also indicated how the interaction is dependent on burnup and on the actual power history of the fuel rod. This information was obtained by means of differential transformer type of detector, measuring the changes in length and diameter of fuel rods while operating at power in the reactor. Based on this experience, a simple graphical model has been proposed for the prediction of interaction between fuel and cladding as a function of power history and bumup. This concept, referred to as “iso-gap curves,” clearly demonstrates the importance of avoiding an increase in power at high burnup and could be useful when planning reactor operations with respect to fuel management schemes, i.e., power changes, control rod movement, fuel shuffling, and loading.