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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
Makoto Osaki, Akira Kanagawa
Nuclear Technology | Volume 85 | Number 3 | June 1989 | Pages 274-284
Technical Paper | Nuclear Safety | doi.org/10.13182/NT89-A34249
Articles are hosted by Taylor and Francis Online.
To examine the performance of the high-efficiency particulate air (HEPA) filter, demonstration tests were performed under several severe conditions. The HEPA filter tested is a 610- × 610- × 292-mm conventional deep-pleat filter, normally used in a fuel reprocessing plant. It was tested under a variety of conditions: in air with concentrated dust (100 mg/m3), at high temperatures (maximum 240°C), in humid air (relative humidity 95% and water mist of 100 mg/m3), in a shock transient (overpressure up to 50 kPa), in a large air flow (pressure drop up to 20 kPa), under severe earthquake conditions (acceleration up to 50 m/s2), and in acid and alkaline mists (6 N HNO3, 5% NaOH, 5% Na2CO3). For reference, the performance of HEPA filters in normal conditions was also measured. The HEPA filter performed efficiently enough, even in such severe conditions as would be encountered in a waste air purification system in the nuclear industry. Some empirical formulas are proposed to express the performance of the filter.