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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.
K. C. Lee, R. N. Cherdack
Fusion Science and Technology | Volume 4 | Number 2 | September 1983 | Pages 603-608
Fusion System Studies | doi.org/10.13182/FST83-A22928
Articles are hosted by Taylor and Francis Online.
A relatively high temperature superheated steam cycle was designed to be compatible with a D-D tokamak blanket to help identify some of the benefits of using the D-D fuel .cycle. Since less tritium leaves the plasma in a D-D reactor than in a D-T reactor and tritium is not produced in the D-D reactor blanket, it may be acceptable for steam generated in the first wall and blanket to be used directly in a turbine generator. Calculations indicated high temperature superheated steam (811K, 12.5MPa) could be generated within the allowable stresses of presently available piping materials. Based on these turbine inlet conditions, a backpressure of 50 mm HgA, 6-feedwater heaters, 1 reheater and a 6-flow cross compound turbine generator, the overall cycle efficiency is estimated to be 40.5%.