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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.
Kieran J. McCarthy, Maria A. Ochando, Francisco Medina, Bernardo Zurro, Carlos Hidalgo, Maria de los Angeles Pedrosa, Ignacio Pastor, Jesús A. Herranz, Alfonso Baciero
Fusion Science and Technology | Volume 46 | Number 1 | July 2004 | Pages 129-134
Technical Paper | Stellarators | doi.org/10.13182/FST04-A548
Articles are hosted by Taylor and Francis Online.
A fine-grained mobile pyrolytic graphite limiter was biased to generate radial electric fields in the plasma edge region of the TJ-II stellarator to improve confinement operation modes. Indeed, for the range of voltages applied (up to ±300 V), spectroscopic data indicate that limiter biasing does not induce significant external influxes of impurities. Also, after boronization of the vacuum chamber, increases of ~100% in electron density, together with reductions of the order of 40% in Zeff, are observed during limiter biasing. Here, we report on the first study of impurity behavior in the TJ-II during externally induced radial electric fields. For this, different spectroscopic methods were employed, and the results obtained were compared to assess impurity behavior and to evaluate the effectiveness of such biasing on plasma confinement in TJ-II.