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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
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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.
F. Rancillac, H. Djerassi
Fusion Science and Technology | Volume 14 | Number 2 | September 1988 | Pages 1014-1017
Containment, Control, and Maintenance of Tritium System | doi.org/10.13182/FST88-A25271
Articles are hosted by Taylor and Francis Online.
The fusion reactors will be based on the Deuterium-Tritium reaction. Therefore, the tritium inventory will be rather high. It may be interesting to optimize the protection of these facilities. To this effect, an expert code (EXTRITO) has been prepared for optimizing the tritium transfers for the plant. The optimization is based on criteria such as the dose to the workers and the general public, and on a code optimizing the protection options (ventilation, containment barriers, process) surrounding the tritium circuit and economics. The ultimate criterion for choice is economics. This paper presents the EXTRITO code exclusively. The quantitative applications and extension to other radioactive products will be performed later for situations such as routine operations accidents and maintenance.