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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.
Hiroo Igarashi, Nobuyuki Ohta, Naoshi Usui, Katsumi Ohsumi, Shunsuke Uchida, Tsuneo Matsui
Nuclear Technology | Volume 133 | Number 1 | January 2001 | Pages 92-102
Technical Paper | Nuclear Plant Operation and Control | doi.org/10.13182/NT01-A3161
Articles are hosted by Taylor and Francis Online.
A system has been developed for evaluating the effect of impurity intrusion on reactor water as part of the chemistry diagnostic system for boiling water reactor water. Past records of anomalous changes noted in reactor water quality were first surveyed to identify the substances presenting the highest probability of intrusion into reactor water. The ions and their concentrations were derived, taking into account mutual chemical reactions among the substances and the plant operating conditions affecting the balance equation of the reactor primary system.The results predicted for the peak conductivity of reactor water during plant startup were within ±15% of the measured data. This good agreement found on a comparison of estimated results with measured data from an actual plant substantiated the validity of the present method.