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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.
Sergei Yu. Medvedev, Sergei E. Sharapov
Fusion Science and Technology | Volume 22 | Number 4 | December 1992 | Pages 470-473
Alpha-Particle Special | doi.org/10.13182/FST92-A30082
Articles are hosted by Taylor and Francis Online.
The stabilizing compressibility effect of trapped alpha particles on low-frequency magnetohydrodynamic (MHD) ballooning modes (Re ω ≪ Im ω) in the International Thermonuclear Experimental Reactor (ITER) is investigated. It is found that this stabilization is the most effective one in the central region of the plasma column, where the unstable region of MHD ballooning modes is located for typical flat q(ψ) profiles in ITER. The alpha-particle distribution function is supposed to be isotropic and slowing down in energy. It has been found that the values of βα/βtotal ≅ 1.5 to 2.0% are sufficient to stabilize ballooning modes in the central low-shear region for the peaked pressure profiles [P(ψ) = P(0)(1 − ψ)γ] proposed for ITER. The value of βα/βtotal remains almost unchanged to suppress the instability for all γ = 1.0 to 2.0.
