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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.
Y. Bartal, S. Yiftah
Nuclear Science and Engineering | Volume 82 | Number 2 | October 1982 | Pages 162-180
Technical Paper | doi.org/10.13182/NSE82-A28699
Articles are hosted by Taylor and Francis Online.
The feasibility and relative merits of a quasi-time-dependent approach to burnup calculations is investigated. This method, which is shown to be practically equivalent to a true time-dependent approach, uses one iterative level less than the conventional method and is less liable to nonconvergence problems. The method has been formulated using the finite difference form of the neutron diffusion equation and is implemented in a computer code named TDB. Several one- and two-dimensional pressurized water reactor cores were analyzed using both proposed and conventional methods. The calculations show that the proposed method is about twice as fast as the conventional one with a relative accuracy of <5% in material power fractions and critical boron value.