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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.
T. Yamamoto, K. Takada, H. Takeno, Y. Yasaka (19P66)
Fusion Science and Technology | Volume 51 | Number 2 | February 2007 | Pages 388-390
Technical Paper | Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST07-A1411
Articles are hosted by Taylor and Francis Online.
In D-3He fusion, most of fusion energy is carried by created protons of 14.7MeV. Concept of traveling wave direct energy converter (TWDEC) is applied for the purpose to construct an energy converter with less handling voltage and higher efficiency. To improve conversion efficiency of the TWDEC, we propose two methods of optimization of decelerator structure in the view point of matching between the beam velocity and the phase velocity of the traveling wave. As the result of experiments in a TWDEC simulator based on each method, these optimizations are really effective to improve conversion efficiency. However, when the matching is disturbed by some factors, less matching results in less efficiency.
