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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.
D. Omoya, L. C. Bai, H. Takeno, Y. Yasaka, Y. Nakashima
Fusion Science and Technology | Volume 55 | Number 2 | February 2009 | Pages 114-117
Technical Paper | Seventh International Conference on Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST09-A6994
Articles are hosted by Taylor and Francis Online.
In D-3He fusion, most of fusion energy is carried by kinetic energy of created protons of 14.7 MeV. Concept of traveling wave direct energy converter (TWDEC) was proposed as an effective energy converter with less handling voltage. Although fundamental researches on TWDEC have been reported, the dependence on energy spread of flowing ions has not been investigated in spite of its significant effects against conversion efficiency. The paper treats this subject by an application of TWDEC simulator to GAMMA 10 tandem mirror whose end-loss flux has relatively wide energy spread. The energy distribution of the end-loss flux was measured, and a new structure of TWDEC simulator was designed according to the measured result. The conversion efficiency was estimated by one-dimensional numerical orbit calculations showing the designed structure had enough performance as TWDEC.