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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.
M. Grandotto, P. Obry
Nuclear Science and Engineering | Volume 151 | Number 3 | November 2005 | Pages 313-318
Technical Paper | doi.org/10.13182/NSE05-A2550
Articles are hosted by Taylor and Francis Online.
This work takes place in steam generator flow studies, and we consider here steady-state three-dimensional two-phase (liquid and gas) flows. The main goal is to improve the modeling of kinetic imbalance between the phases. We present a method that solves the mixture (liquid-gas) mass and enthalpy equations, and two momentum equations: one for the mixture and one for the gas. This choice is equivalent to solving the gas and the liquid momentum equations, but it is better suited to the Chorin projection method used for the pressure calculation. Solving two momentum equations instead of solving only the one for the mixture introduces the use of correlations for the gas-liquid friction but avoids the use of a correlation for the drift velocity and opens the way to a finer analysis of the relative dynamic behavior of each phase.