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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.
James P. Adams, Glenn E. McCreery, Jong H. Kim
Nuclear Science and Engineering | Volume 109 | Number 4 | December 1991 | Pages 325-340
Technical Paper | doi.org/10.13182/NSE91-A23858
Articles are hosted by Taylor and Francis Online.
An alternate pump trip criterion is described that meets the intent of the U.S. Nuclear Regulatory Commission pump trip requirement [i.e., to minimize primary system mass loss during a small-break loss-of-coolant accident (SBLOCA)] while providing the operators with a valuable tool to differentiate between various generic types of off-nominal transient conditions (heatup, cooldown, and loss-of-coolant accident) and to determine the efficacy of the recovery from these transients. The technique also provides a reliable measure of primary system mass inventory during heatup and cooldown transients and in the early phases of an SBLOCA. This method was developed by examining pump response to a variety of transients conducted in the Loss-of-Flow Test (LOFT) Facility. To explain the data, a mathematical model was developed based on one-dimensional pump theory. The response of the LOFT pumps was extended to full-scale commercial pressurized water reactor (PWR) pump response by examining general centrifugal pump behavior and by calculating PWR response to an SBLOCA. The results of the study indicate that the PWR pump behavior can be expected to be similar to that measured in LOFT and that the pump model can be used to gain valuable information on the status of a PWR during off-nominal transient conditions.