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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.
A. V. Ovcharov
Fusion Science and Technology | Volume 71 | Number 3 | April 2017 | Pages 333-338
Technical Paper | doi.org/10.1080/15361055.2016.1273693
Articles are hosted by Taylor and Francis Online.
Separation factors for ideal gas phase isotopic exchange reactions between water vapor and hydrogen were calculated for deuterium-protium exchange in the presence of trace amounts of tritium using adiabatic correction factors calculated by Bardo and Wolfsberg. The results obtained support the conclusions made by Bardo and later by Rolston that the application of adiabatic correction factors leads to slightly lower and more precise values of equilibrium constants or separation factors in comparison to separation factors straightforwardly calculated from the isotopic partition function ratios published by Bron, Chang and Wolfsberg. The difference for protium-trace tritium exchange is relatively low, at 333 K it amounts to 2.2%. Comparison with published experimental data on tritium exchange in the low deuterium concentration limit shows that the corrected values better reproduce experiment at least at temperatures below 383 K confirming earlier conclusions made for protium-deuterium exchange. Results are given in the form of 2D polynomial fits over wide range of deuterium concentration and temperature that is useful for the application of them in equation-oriented process modeling systems for the modeling of CECE process.