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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.
J. H. McFadden, M. P. Paulsen, G. C. Gose
Nuclear Technology | Volume 54 | Number 3 | September 1981 | Pages 287-297
First International Retran Meeting | Heat Transfer and Fluid Flow | doi.org/10.13182/NT81-A32774
Articles are hosted by Taylor and Francis Online.
A time-dependent equation for the slip velocity in a two-phase flow condition has been incorporated into the RETRAN-02 computer code. This model addition was undertaken to remove a limitation in RETRAN-01 associated with the homogeneous equilibrium mixture model The dynamic slip equation was derived from a set of two-fluid conservation equations. The slip model and the flow-regime-dependent constitutive equations are used in the RETRAN steady-state initialization solution as well as for transient analyses. Comparisons of RETRAN calculations with steady-state and transient data indicate the slip model results in a better analysis of two-phase flow behavior than does the homogeneous equilibrium mixture model