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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.
Hooman Javidnia, Jin Jiang, Majid Borairi
Nuclear Technology | Volume 165 | Number 2 | February 2009 | Pages 174-189
Technical Paper | Nuclear Plant Operations and Control | doi.org/10.13182/NT09-A4084
Articles are hosted by Taylor and Francis Online.
This paper presents the development of a flexible and user-friendly reactor core dynamic model of a CANadian Deuterium Uranium (CANDU) reactor for control system applications using the commercial simulation package MATLAB/SIMULINK. The reactor core is divided into 14 zones, and a set of coupled kinetics equations are developed to describe the dynamic behavior of the zones. The interaction between neighboring zones is characterized in terms of coupling coefficients, which basically describe the possibility of a neutron born in one zone causing a nuclear reaction in another zone. The model also includes the dynamics of the xenon and iodine. Nondimensionalized representations of the reactor dynamic model are derived in detail. It is demonstrated that vectorization of dynamic variables can significantly simplify the modeling and simulation process for a multizone reactor. Transient behavior of the reactor has been simulated using the developed model.