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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.
E. Laggiard, J. Runkel, D. Stegemann
Nuclear Science and Engineering | Volume 120 | Number 2 | June 1995 | Pages 124-135
Technical Paper | doi.org/10.13182/NSE95-A24113
Articles are hosted by Taylor and Francis Online.
The vibration and impacting of an instrument tube against the surrounding fuel boxes in a boiling water reactor (BWR) was studied by means of a three-dimensional, one-modal model. The transfer of the tube displacements to neutron fluctuations of the fission chamber-instrument tube assemblies was calculated by employing the adjoint function technique and utilizing a two-dimensional, two-group diffusion theory. The results were used to interpret the particular measured noise spectra of an instrument tube in the 1300-MW Gundremmingen C BWR. The root-mean-square of the displacements was estimated from the experimental neutron data.
