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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. Munakata, B. Bornschein, D. Corneli, M. Glugla
Fusion Science and Technology | Volume 48 | Number 1 | July-August 2005 | Pages 17-22
Technical Paper | Tritium Science and Technology - Tritium Processing, Transportation, and Storage | doi.org/10.13182/FST05-A871
Articles are hosted by Taylor and Francis Online.
One of the design targets for the ITER Tokamak Exhaust Processing system is to suppress the loss of tritium to less than 10-5 g/h into the Normal Vent Detritiation System of the Tritium Plant. The plasma exhaust gas, therefore, needs to be processed with an overall tritium removal efficiency of about 108. Such a high decontamination factor can be achieved by multistage processes. The third step of the three step CAPER process developed at the TLK is based on a so-called permeator catalyst (PERMCAT) reactor, a direct combination of a Pd/Ag permeation membrane and a catalyst bed. In this work, a numerical simulation of the PERMCAT reactor was performed and the result was compared with experimental data.