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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.
K. Yamaguchi, H. Nakamura, K. Haga
Nuclear Science and Engineering | Volume 88 | Number 3 | November 1984 | Pages 464-474
Technical Paper | doi.org/10.13182/NSE84-A18599
Articles are hosted by Taylor and Francis Online.
The effect of a local cooling disturbance caused by an edge-type blockage in a liquid-metal fast breeder reactor (LMFBR) fuel subassembly was investigated with a series of out-of-pile local blockage experiments with water and sodium. The heat exchange layer model first developed for central-type blockage cases applied well to the present edge-type cases. An empirical formula was developed for estimating maximum temperatures in various subassemblies, and the conclusion was reached that a middle size edge-type blockage could lead to sodium boiling. The critical heat flux data of Power Reactor and Nuclear Fuel Development Corporation and Kernforschungszentrum Karlsruhe were correlated with the boiling inception heat flux for various core flow velocities. A linear relation was found between them, suggesting a possible interpretation of the coolability limit within the framework of nonboiling conditions. The theoretical (hypothetical) excess temperature in the absence of boiling, ΔTms (= Tmax − Tsat), seemed to cross a critical value at the instance of permanent dryout. Based on the constant critical ΔTms assumption and the formula for Tmax, an assessment was made of the thermohydraulic consequences for the different blockage size situations of a typical LMFBR.