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2026 ANS Annual Conference
May 31–June 3, 2026
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.
Klaus Rehme
Nuclear Technology | Volume 17 | Number 1 | January 1973 | Pages 15-23
Technical Paper | Fuel | doi.org/10.13182/NT73-A31250
Articles are hosted by Taylor and Francis Online.
An accurate prediction of the hydraulic losses in multirod fuel bundles is necessary for reactor design calculations. Correlations of the pressure drop at the spacers are important for these calculations. Pressure drop correlations are proposed on the basis of numerous experimental investigations, both with grid type spacers and wire wrapped rod bundles. These correlations are valid over a broad range of flow contractions in the case of spacer grids (15 to 50%) and a broad range of geometrical parameters with wire wrapped rod bundles, respectively, namely rod bundle parameter: pitch-to-diameter ratio P/D = 1.125 to 1.417, wire wrap parameter: lead-to-wrap diameter H/dm = 6 to 45, and number of rods in a rod bundle n = 7 to 61 rods. The Reynolds numbers of the investigations under consideration ranged between 103 and 3 × 105.