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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.
Cheng Zhang*, Francesco Romanelli
Fusion Science and Technology | Volume 25 | Number 2 | March 1994 | Pages 147-163
Technical Paper | Plasma Heating System | doi.org/10.13182/FST94-A30264
Articles are hosted by Taylor and Francis Online.
An analysis of the neutral beam (NB) current drive for the International Thermonuclear Experimental Reactor (ITER) is performed. The NB deposition profile for a model elliptic equilibrium is evaluated for arbitrary density profiles. Multistep ionization is accounted for. The NB current density is calculated by using an approximate solution of the Fokker-Planck equation. A parameter scan is performed by changing electron density, plasma temperature, the plasma effective ionic charge Zeff, beam energy Eb, beam mass number, beam section, and tangency radius of the beam center. The largest values of the current drive figure of merit γNB = INBnR/P are obtained for the largest beam energy. The obtained value of γNB for the ITER reference scenario is γNB = 0.6 for Eb = 1.3 MeV and Zeff = 2.
