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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.
H. Kido, M. Nemoto, K. Tomita, N. Kurosawa, H. Kimura, H. Yasuda
Fusion Science and Technology | Volume 60 | Number 4 | November 2011 | Pages 1272-1275
Environmental and Organically Bound Tritium | Proceedings of the Ninth International Conference on Tritium Science and Technology (Part 2) | doi.org/10.13182/FST11-A12662
Articles are hosted by Taylor and Francis Online.
The Rokkasho Reprocessing Plant, located in northeastern Aomori prefecture, is currently undergoing the final commissioning test using actual spent nuclear fuels (the Active Test). Tritium had been discharged from the reprocessing plant and some effects to the environment were observed since the Active Test had been started at the reprocessing plant on March 31, 2006. The purpose of this study is to predict the environmental impact of the reprocessing plant once it becomes operational. An atmospheric dispersion simulation system, developed by the authors, has been utilized to predict the expected tritium dispersion during the plant future operations. In this study, a simulation of tritium dispersion was carried out using wind velocities and wind directions as prediction factors for future HTO activity. The simulation results were compared with actual HTO activity measurements taken during the autumn of 2006 and the spring and autumn of 2007. The results of the simulation appear to accurately reflect the actual measured results from HTO measurements in the autumn seasons of both 2006 and 2007, however, there were discrepancies between the data set from the spring of 2007 and predicted results formulated by the simulation for that same period.