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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.
D. Rapisarda, B. Zurro, V. Tribaldos, A. Baciero, TJ-II Team
Fusion Science and Technology | Volume 50 | Number 2 | August 2006 | Pages 320-325
Technical Paper | Stellarators | doi.org/10.13182/FST06-A1253
Articles are hosted by Taylor and Francis Online.
A local model capable of simulating the cord-integrated emission of spectral lines in the TJ-II stellarator has been developed for inferring local parameters. The procedure was implemented on a numerical code, which starting from given analytical profiles of local emissivity, ion temperature, and toroidal rotation calculates the cord-integrated emission spectra along a selected line of sight. Additionally, the procedure is capable of simulating the toroidal and poloidal velocity contributions for a selected spectral line taking into account TJ-II magnetic topology. Results show good agreement between measurements and numerical simulations for the integrated intensity and ion temperature, and a consistent integrated toroidal rotation velocity, which depends on the emissivity profile.