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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.
H. Geng, S. M. Ghiaasiaan
Nuclear Science and Engineering | Volume 129 | Number 3 | July 1998 | Pages 294-304
Technical Paper | doi.org/10.13182/NSE98-A1983
Articles are hosted by Taylor and Francis Online.
A model for critical flow in capillaries and cracks of an initially subcooled liquid containing a dissolved noncondensable gas is presented. The model is based on the iterative numerical solution of, and the imposition of critical flow conditions on, one-dimensional two-phase flow conservation equations, everywhere assuming homogeneous equilibrium two-phase flow, and equilibrium between liquid and vapor-noncondensable mixture phases with respect to the concentration of the noncondensable.Model predictions are compared with data from two different sources with good agreement, indicating that the assumption of complete equilibrium between the two phases is adequate for estimating the critical flow in microchannels and cracks. The effect of dissolved noncondensables is examined, and it is shown that the desorption of dissolved noncondensables from water can lead to a slight (up to several percent) reduction in the critical flow rate.