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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.
Sophie Charton, Frdric Dano, Jean-Yves Godefroy, Philippe Baclet
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 242-247
Technical Paper | Fourteenth Target Fabrication Specialists' Meeting | doi.org/10.13182/FST02-A17907
Articles are hosted by Taylor and Francis Online.
The temperature distribution within the LMJ target has been extensively studied during the past three years regarding its constitutive materials, its geometry and its thermal environment within the LMJ experiment chamber. By the way, the target definition has evolved and a new architecture is now under consideration. A complete three-dimensional thermal simulation of this prototype has been lead. Its results are described in the paper. At the same time, our calculation efforts were focused on cavity hydrodynamics, especially concerned with overcoming free convection. Previous simulations results have indeed indicated that the thermal distribution is dependent on the filling pressure when the latter is over 10 kPa. Cavity filling CFD simulations are also presented and discussed.