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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.
Alexey Golubev, Yuri Balashov, Sergey Mavrin, Valentina Golubeva, Dan Galeriu
Fusion Science and Technology | Volume 67 | Number 2 | March 2015 | Pages 349-352
Proceedings of TRITIUM 2013 | doi.org/10.13182/FST14-T27
Articles are hosted by Taylor and Francis Online.
Washout coefficient Λ is widely used as a parameter in washout models. These models describes overall HTO washout with rain by the first-order kinetic equation, while washout coefficient Λ depends on the type of rain event and rain intensity and empirical parameters a, b. It was shown recently that variations of published data of washout coefficient are significant. Thus Λ = 10−4 sec−1 for the light rain event (∼ 1 mm-hour−1) while Λ = 10−3 sec−1 for heavy rain (∼ 25 mm-hour−1). Canadian standard recommends washout coefficient of 1.8-10−4 sec−1, German standard gives 3.5-10−5sec−1, while published Japan data varies from Λ = (7.3 ± 4.1)-10−5 sec−1 at 2 mm hour−1 to Λ = 4.6-10−4 sec−1 for the same rain intensity. This means that further investigations of HTO washout process are required. One of the issues is determining the useful relationship between macroscopic parameter of HTO washout Λ and microscopic HTO exchange rate of HTO molecules in atmosphere and in the raindrop water. Approaches to address this issue have been presented elsewhere. It can be shown that the empirical parameters a, b can be represented through the rain event characteristics using the relationships for molecular impact rate, rain intensity and specific rain water content while washout coefficient can be represented through the exchange rate K, rain intensity, raindrop diameter and terminal raindrop velocity.