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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.
Yong-Qian Shi, Qing-Fu Zhu, He Tao
Nuclear Technology | Volume 149 | Number 1 | January 2005 | Pages 122-127
Technical Note | Reactor Safety | doi.org/10.13182/NT05-2
Articles are hosted by Taylor and Francis Online.
The paper first briefly reviews the neutron source multiplication method and then presents an experimental study that shows that the parameter measured by the neutron source multiplication method actually is a subcritical effective neutron multiplication factor ks with an external neutron source, not the effective neutron multiplication factor keff. The parameters ks and keff have been researched for a nuclear critical safety experiment assembly using a uranium solution. The parameter ks was measured by the source multiplication method, while the parameter keff was measured by the power-raising period method. The relationship between keff and ks is discussed and their effects on nuclear safety are mentioned.