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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.
Zhanjie Xu, Rainer Meyder, Ulrich Fischer, Jörg Rey
Fusion Science and Technology | Volume 52 | Number 1 | July 2007 | Pages 100-106
Technical Paper | doi.org/10.13182/FST07-A1489
Articles are hosted by Taylor and Francis Online.
Since the helium-cooled pebble bed (HCPB) breeding blanket was accepted as a reference blanket concept for a future DEMO reactor in the European Union almost 10 yr ago, research and development on the breeder unit (BU) has been conducted. As the basic module of the modular blanket segmentation, the BU is the key component to fulfill the prescribed functions of the breeding blanket. In the paper, two design schemes of the HCPB BU are discussed: (a) a design with double breeder beds confined by an m-shaped container and (b) a design with a single breeder bed confined by a simpler n-shaped container. The first design features a stack of parallel straightforward channels in the cooling plates, and the second design features a group of meandering channels. The two BU variants are analyzed numerically with regard to the performance of their neutronics, thermal hydraulics, and structural mechanics. Based on the numerical analyses, the two variants are compared in the three aspects. Finally, possible improvements on the HCPB BU designs are proposed.