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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.
Kazuyuki Takase
Fusion Science and Technology | Volume 39 | Number 2 | March 2001 | Pages 1043-1049
Safety and Environment | doi.org/10.13182/FST01-A11963381
Articles are hosted by Taylor and Francis Online.
Dust-air two-phase flow characteristics in a fusion experimental reactor during a loss-of-vacuum-accident (LOVA) event were analyzed numerically by three dimensional simulations using a newly developed thermal-hydraulic analysis code. Physical models on the motion of dust were considered to resolve the dust mobilization conveying by the fluid. Air ingress behavior through a breach at the LOVA event was calculated by using compressible Navier-Stokes equations. It was predicted quantitatively from the results of the present numerical study that the dust mobilization receives strongly the effect of the breach size and the fraction of the mobilized dust is determined by a circulating flow and buoyancy-driven exchange flow which are generated in a vacuum vessel of the fusion experimental reactor after the LOVA event.