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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.
Sanae-Inoue Itoh, Atsushi Fukuyama, Tomonori Takizuka, Kimitaka Itoh
Fusion Science and Technology | Volume 16 | Number 3 | November 1989 | Pages 346-364
Technical Paper | Plasma Engineering | doi.org/10.13182/FST89-A29126
Articles are hosted by Taylor and Francis Online.
The consistency of physics constraints imposed on a core plasma in a tokamak reactor is investigated. Conditions for the steady-state operation of the International Thermonuclear Experimental Reactor (ITER)-grade plasma are listed, i.e., the density limit, the critical beta, feasibility of full current-drive and divertor functions, etc. The parameter regime, in which these guidelines are simultaneously satisfied, is investigated. Based on the available data base, the consistency of the conditions is examined. The L-mode scaling of the energy confinement time is employed for extrapolation to the ITER-grade plasma. The Q value and the size dependence are studied. The consistent operating regime of the steady-state operation is found. If off set-linear scaling is applied, the minimum and necessary input power is ∼130 MW, which enables the full current drive and the steady-state operation of Q = 2.3 with Ip = 20 MA. When the input power is increased to 200 MW, a Q value of 5 is predicted.