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Denver, CO|Sheraton Denver
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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.
A. Hawighorst, H. Kröning, F. Mayinger
Nuclear Science and Engineering | Volume 88 | Number 3 | November 1984 | Pages 376-385
Technical Paper | doi.org/10.13182/NSE84-A18591
Articles are hosted by Taylor and Francis Online.
At an unhealed 4 × 4 rod bundle air/water test facility, optical investigations of the entrainment behavior and countercurrent flow experiments were performed under a large variety of test conditions: flow duct geometry; internals (tie plate, bundle length, number of grid spacers, rod diameter); type of injection (different nozzles, porous sinter metal) different mass flux for air and water. In addition, several flooding models were compared with experimental data. It was found that the type of injection has only a weak influence, whereas the geometric conditions upstream of the narrowest flow area (presence of bundle and grid spacer) have an important effect on the flooding behavior. In addition, a comparison of the applicability of different flooding models shows that only the models based on dimensionless numbers expressed by superficial velocities show a good agreement with experimental data.