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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.
Yoon Sub Sim
Nuclear Technology | Volume 161 | Number 3 | March 2008 | Pages 299-314
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT08-A3928
Articles are hosted by Taylor and Francis Online.
Decay heat removal in a nuclear plant is very important, and the performance of a decay heat removal system in a plant is a critical factor for the plant safety. In designing the decay heat removal system, a passive-type system is usually more difficult than an active-type system, and there can be additional restrictions in designing plant systems for passive decay heat removal to secure a sufficient natural-circulation head. If one can devise a decay heat exchanger that can enhance buildup of the natural-circulation head during an accident, the restrictions on designing the systems related to the decay heat removal can be relaxed and a better plant design can be attained. To meet this necessity, a design concept of an improved decay heat removal heat exchanger, IDINHX, was devised for a pool-type liquid-metal reactor (LMR). Its performance was evaluated, and the physics related to the core cooling in a pool-type LMR was investigated. During an accident, the core exit temperature usually peaks twice. The first peaking reflects the early-phase cooling capacity of a system, and the second peaking reflects the late-phase or long-term cooling capacity. The physics of the first peaking are more complex than that of the second peaking and, consequently, designing against the first peaking is more difficult. Based on the investigation results, ways to control the first peaking are suggested.