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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.
Eishi Ibe, Shunsuke Uchida
Nuclear Science and Engineering | Volume 85 | Number 4 | December 1983 | Pages 339-349
Technical Paper | doi.org/10.13182/NSE83-A18381
Articles are hosted by Taylor and Francis Online.
A computer program package AQUARY has been developed for quantitative evaluation of concentration distributions of the radiolytic species in overall boiling water reactor primary systems. The hydrogen peroxide decomposition rate k, the gas release coefficient ϵ, and the accumulation of products through recirculation of the coolant were taken into consideration. The following relations were found: 1. Hydrogen and hydrogen peroxide concentrations in the core are substantially high, and the following relation holds in the core, 2[O2] = [H2] < [H2O2]. 2. The hydrogen peroxide concentration contributes markedly to the oxygen concentration at the water sampling stations in a plant. In particular, the following equation holds if k > 0.1 s-1, 2[O2] at the sampling station = [H2O2] at the core exit.