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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.
Javier Martinez, Elia Merzari (ANL), Michael Acton, Emilio Baglietto (MIT)
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 644-658
The turbulent flow inside a differentially heated cavity at a Rayleigh number of approximately 109 has been studied through a fully resolved Direct Numerical Simulation using the high-order Spectral Element Method code Nek5000. The case chosen for the present paper includes two physical phenomena: the natural recirculation itself, and the flow inside a curved channel that has been added to bottom right corner of the cavity. Solutions are presented as reference for the validation of models when the two physical phenomena are superposed. Simulations have been carried out either using the Boussinesq approximation or a low-Mach compressible formulation. Significant discrepancies between the two methods inform of the extreme necessary caution to consider when using the Boussinesq approximation in the limits of its applicability. Proper resolution of the DNS has been analyzed by considering the polynomial order convergence of the solution and the computation of the Reynolds stresses budgets.