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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. Sanchez, A. dos Santos
Nuclear Science and Engineering | Volume 131 | Number 3 | March 1999 | Pages 387-400
Technical Paper | doi.org/10.13182/NSE99-A2041
Articles are hosted by Taylor and Francis Online.
A new methodology that is applicable to individual nuclides is developed for the determination of the intermediate resonance (IR) parameters in the multigroup formalism. The method keeps the main steps commonly used for the determination of these parameters and is compatible with the methods utilized for the generation of the multigroup libraries for thermal and epithermal reactors. The proposed method does not impose any restriction on the formalism used to describe the resonances. Use is made of the computational approach used by the GROUPR module of the NJOY system (flux calculator option). A numerical scheme is presented to determine the IR parameters by means of an iterative approach. Numerical results for the IR parameters in a heterogeneous system composed of UO2 (238U only) and hydrogen as an external moderator are reported as a function of the dilution 0, heterogeneity factor , and temperature T for several epithermal groups of the MUFT structure. The results are consistent, as shown by the consistency checks performed.