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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, Hoju Fukushima, Noriyasu Ohno, Shuichi Takamura, Masahiro Nishikawa
Fusion Science and Technology | Volume 45 | Number 1 | January 2004 | Pages 60-64
Supplemental Paper | Fifteenth Topical Meeting on the Technology of Fusion Energy | doi.org/10.13182/FST04-A427
Articles are hosted by Taylor and Francis Online.
This paper will report on the proof-of-principle (POP) experiments conducted to demonstrate reduced wall recycling, using a laboratory-scale test unit, constructed based on the concept of moving-surface plasma-facing component (MS-PFC). In this concept, the moving-surface exposed to edge plasmas in steady state magnetic fusion devices is continuously deposited ex-situ with a getter material, so that particle trapping capabilities can be regenerated prior to the subsequent exposure. In our previous paper, the construction details of the MS-PFC test unit and the first results in the case of titanium gettering was reported, but in the present paper preliminary results in the case of lithium gettering will be presented for comparison. Results indicate that the H light intensity used as the measure of hydrogen recycling is reduced by ~6% due to titanium gettering and by ~12% due to lithium gettering, both at steady state.