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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.
Nobuaki Ohnishi, Kiyomi Ishijima, Sadamitsu Tanzawa
Nuclear Science and Engineering | Volume 88 | Number 3 | November 1984 | Pages 331-341
Technical Paper | doi.org/10.13182/NSE84-A18587
Articles are hosted by Taylor and Francis Online.
The empirical correlations for subcooled film-boiling heat transfer during a reactivity-initiated accident in light water reactors are derived from inverse heat conduction calculations using the cladding surface temperatures measured in in-reactor experiments. The experimental data for cold startup conditions (subcoolings of ∼10 to 80 K and coolant velocities of ∼0 to 2 m/s at atmospheric pressure) and hot standby conditions (subcooling of ∼10 to 40 K, system pressures of 7.2 and 16 MPa, and system temperatures of 550 and 580 K) are used for this investigation. The present correlations are compared with existing correlations from ex-reactor experiments. The results of transient fuel behavior calculations with a computer code that included the present correlations are in good agreement with the corresponding measured data from the experiments.