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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.
H. Hashizume, K. Yuki, N. Seto, A. Sagara
Fusion Science and Technology | Volume 56 | Number 2 | August 2009 | Pages 892-896
Test Blanket Modules | Eighteenth Topical Meeting on the Technology of Fusion Energy (Part 2) | doi.org/10.13182/FST09-A9023
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By changing the composition ratio in Flibe to decrease its melting temperature, it becomes possible to design the TBM under the temperature design limits for ferritic steel. The accompanied demerit due to the increase in viscosity and degradation in heat transfer performance is overcome by introducing sphere-packed pipe as the first wall. The empirical correlation for heat transfer performance is derived for several sizes and materials of the spheres. Through the present analysis, there exist design windows for the Flibe TBM. This possibility is strongly linked to the demo reactor development since the structural material development for higher temperature condition can lead to the usage of Flibe with higher melting temperature and better heat transfer performance, which could be available under higher heat flux in the demo reactor.