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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.
R. Schleicher, A. R. Raffray, C. P. Wong
Fusion Science and Technology | Volume 39 | Number 2 | March 2001 | Pages 823-827
Chamber Technology | doi.org/10.13182/FST01-A11963341
Articles are hosted by Taylor and Francis Online.
The He Brayton cycle appears to be the best near-term power conversion method for maximizing the economic potential of fusion. Key factors affecting the Brayton cycle efficiency includes the turbine inlet temperature, compressor and turbine adiabatic efficiencies, recuperator effectiveness and cycle fractional pressure loss. The compression ratio is also important because for fusion conditions, structural and turbomachinery limitations often prevent use of an optimum value. This paper examines in detail these parameters and proposes near-term values for fusion power plant studies based on existing products and test results, current knowledge, and, if justified, reasonable extrapolation.