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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.
Takeshi Muranaka, Nagayoshi Shima
Fusion Science and Technology | Volume 54 | Number 1 | July 2008 | Pages 297-300
Technical Paper | Environment and Safety | doi.org/10.13182/FST08-A1817
Articles are hosted by Taylor and Francis Online.
An electrolytic cell, essentially composed of a solid polymer electrolyte (SPE) film and porous dimensionally stable electrodes (DSEs), was designed to reduce the electrolytic voltage in an electrolyzer. The device achieved a tritium recovery factor of 0.836±0.021 for a volume reduction factor of five when operated at a current of 6 A, while maintaining a water bath temperature below 2 °C. Sample and standard waters were simultaneously enriched by connecting two electrolytic cells in series. The sample water was first enriched using a commercially available apparatus with a large electrolytic current of 50 A until the volume in the sample water was reduced to approximately one fifth of the original volume. This "two-stage electrolysis" enrichment was applied to coastal seawaters from the Aomori prefecture. Tritium concentrations, ranging from 0.2 to 0.5 Bq/L, were found, with a measurement error (i.e. a statistical error of one sigma) of ca. 10% of the obtained values.