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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.
Björn Gylling, Luis Moreno, Ivars Neretnieks
Nuclear Technology | Volume 122 | Number 1 | April 1998 | Pages 93-103
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT98-A2854
Articles are hosted by Taylor and Francis Online.
The release from initially damaged canisters for spent fuel located in crystalline rock is calculated. The radionuclide transport through the near field is calculated using the compartment model (NUCTRAN), and then the channel network concept (CHAN3D) is used for the transport in the far field. The flow rates at certain canister locations from the flow field generated by CHAN3D are used as input data to NUCTRAN, and then the near-field release is used as input to the far-field transport simulations. The models are applied to a hypothetical repository layout located at the Swedish Äspö Hard Rock Laboratory site. The hydraulic data and the flow-wetted surface area used in the model are estimated from hydraulic measurements. Release rate calculations for several radionuclides are performed to illustrate the model-coupling concept. The coupled models can be used as an efficient tool to simulate release from a repository and the transport to a recipient.