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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.
S. K. Ho, Max E. Fenstermacher
Fusion Science and Technology | Volume 16 | Number 2 | September 1989 | Pages 185-196
Technical Paper | Plasma Engineering | doi.org/10.13182/FST89-A29147
Articles are hosted by Taylor and Francis Online.
It is desirable for the plasma operating points of future Engineering Test Reactor (ETR) tokamaks to be in parameter regimes that are inherently stable to thermal fluctuations; in other words, thermal equilibrium is maintained by properties of the power balance terms themselves without an active burn control system. Methodologies are presented for calculating thermally stable operating points and scenarios to achieve these conditions. Results are given for an ETR tokamak with major radius R0 = 5.8 m in both the ignition and current-drive modes. Though the results are sensitive to the form of the energy confinement scaling law used, for enhancements over L-mode confinement by factors of 1.5 to 2.0, stable operating regions in (n, T) space have been identified for ignited operation with T ≥ 20 keV and for current-drive steady-state operation with T ≈ 25 keV. Burn dynamics simulations and discussion of critical issues are also presented. The analyses are general and should be applicable to a wide variety of deuterium-tritium burning tokamaks.