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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.
David R. Mikkelsen, Clifford E. Singer, Robert J. Goldston
Fusion Science and Technology | Volume 7 | Number 3 | May 1985 | Pages 361-373
Technical Paper | Plasma Engineering | doi.org/10.13182/FST85-A24556
Articles are hosted by Taylor and Francis Online.
The efficiency of plasma heating and current drive expected in the Tokamak Fusion Test Reactor has been computed for various orientations of neutral injection beamlines. Computer codes that model plasma transport and particle orbits have been used to compute power losses caused by “shinethrough,” charge-exchange, intersection of particle orbits with the limiter or wall, and toroidal field ripple, and to compute the effect of finite size particle orbits on penetration of injected beam particles. Less readily quantifiable considerations such as impurity contamination and toroidal plasma rotation are discussed briefly.