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Conference Spotlight
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.
Mitsugu Tanaka
Nuclear Technology | Volume 47 | Number 2 | February 1980 | Pages 268-281
Technical Paper | Reactor Siting | doi.org/10.13182/NT80-A32432
Articles are hosted by Taylor and Francis Online.
Heat transfer rates to spray droplets under conditions of a loss-of-coolant accident in a light water reactor have been calculated by two different droplet models: the rigid droplet model and the complete mixing droplet model For calculating the heat transfer rates, a computer program, CONDENSE, was developed. The program was designed to calculate the respective model with the corresponding input data. The difference between the two models in spray heat transfer efficiency and the effects of droplet size, initial velocity, spray angle, and gas temperature on the efficiency were revealed by calculations. In addition, the dependence of the efficiency on the fall distance of a droplet, which had not been reported despite its importance in evaluating the spray effectiveness in a vessel, was revealed.