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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.
Otto I. Reisman, Robert O. Parker
Nuclear Science and Engineering | Volume 63 | Number 2 | June 1977 | Pages 188-191
Technical Note | doi.org/10.13182/NSE77-A27022
Articles are hosted by Taylor and Francis Online.
In 1958 Siegel et al. derived a thermal-entry-length integral solution for laminar flow in circular tubes with an arbitrary wall heat flux. From this we derived a solution for a step-varying flux. The objective of this research was to obtain experimental data to verify the accuracy of the above solution. The steps used were a good approximation of the sinusoidal heat flux, which exists along the cooling tube in nuclear reactors. The experimental results fell above the theoretical solution, the average difference being 10.9%. Thus, the step-varying wall heat flux solution may be used for the design of cooling systems within that uncertainty.