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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.
Yoshi Hirooka, Hirotsugu Ohgaki, Souichirou Hosaka, Yusuke Ohtsuka, Masahiro Nishikawa
Fusion Science and Technology | Volume 47 | Number 3 | April 2005 | Pages 703-707
Technical Paper | Fusion Energy - Divertor and Plasma-Facing Components | doi.org/10.13182/FST05-A767
Articles are hosted by Taylor and Francis Online.
In our previous work, the first proof-of-principle experiments were successfully conducted on the particle control capability based on the concept of moving-surface plasma-facing component (MS-PFC). Over a continuously titanium-gettered rotating drum, hydrogen recycling was found to be reduced down to levels around 94% even at steady state. These experiments on the MS-PFC concept have now been extended to the second stage where lithium is employed as the getter material, while using the same rotating drum. These experiments are intended to pilot the potential use of lithium as a flowing liquid facing the edge plasmas in steady state reactors beyond ITER. Reported in this paper are rather dramatic findings that hydrogen recycling is reduced down to levels around 76% and 86% at steady state over the rotating drum at the lithium deposition rates of 9.5 Å/s and 7.3 Å/s, respectively. These steady state recycling data have been nicely reproduced by a simple zero-dimensional particle balance model.