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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.
J. D. Galambos, L. John Perkins
Fusion Science and Technology | Volume 25 | Number 2 | March 1994 | Pages 176-181
Technical Paper | Fusion Reactor | doi.org/10.13182/FST94-A30266
Articles are hosted by Taylor and Francis Online.
If the next-step International Thermonuclear Experimental Reactor (ITER) is designed to operate at finite energy multiplication (Q ∼ 10 to 20), as opposed to ignition (Q ∼ ∞), appreciable reductions in size and cost will result. Ignition will be attainable in such a “high-Q targeted” device under slightly enhanced confinement conditions. For example, with the nominal design guidelines from the ITER Conceptual Design Activity (CDA), designing for Q = 15 instead of ignition results in ∼20% savings in size and cost. Ignition would still be achievable in such a reduced-size device if the L-mode energy confinement enhancement factor (i.e., H factor) is ∼15% higher than the assumed nominal value of 2.0. This size/cost impact is large compared to other sensitivities, and the range of H-fact or improvement needed to recoup ignition is small compared to the uncertainty in the confinement scalings themselves.