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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.
M.E. Sawan, H.Y. Khater, H. Iida, R.T. Santoro
Fusion Science and Technology | Volume 34 | Number 3 | November 1998 | Pages 1008-1012
Neutronics Experiments and Analysis (Poster Session) | doi.org/10.13182/FST98-A11963745
Articles are hosted by Taylor and Francis Online.
Precise representation of geometry and energy is essential to properly account for self-shielding effects in tungsten. Up to a factor of 7 overestimation of tungsten decay heat results from homogenization of tungsten and water cooled heat sink behind it and using non-self-shielded cross sections in the activation calculations. To correctly estimate tungsten decay heat, 3-D continuous energy Monte Carlo calculations with proper layered heterogeneous modeling should be used to calculate the spectra and reaction rates or effective self-shielded cross sections to be adopted in the activation calculations.
