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Latest News
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.
Shinji Ueda, Hideki Kakiuchi, Hidenao Hasegawa, Shun'ichi Hisamatsu
Fusion Science and Technology | Volume 60 | Number 4 | November 2011 | Pages 1296-1299
Environmental and Organically Bound Tritium | Proceedings of the Ninth International Conference on Tritium Science and Technology (Part 2) | doi.org/10.13182/FST11-A12668
Articles are hosted by Taylor and Francis Online.
In order to simulate the behavior of radionuclides in a brackish lake, Lake Obuchi, adjacent to the first commercial spent nuclear fuel reprocessing plant in Japan, we constructed a transfer model for radionuclides using a three-dimensional hydrodynamic model coupled with an ecosystem model. To validate the hydrodynamic model using actual field data, the concentration of tritium (3H) was measured in water samples collected in and around the lake from 2005 to 2008. The samples collected from 2006 to 2008 occasionally showed higher concentrations than background when high concentration seawater flowed into the lake with the tide. 3H concentrations in the lake water estimated by the model were generally within 10% of the observations, although the observed values were overpredicted by a factor of 2 in a few cases.