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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. R. Mataušek
Nuclear Science and Engineering | Volume 53 | Number 4 | April 1974 | Pages 440-457
Technical Paper | doi.org/10.13182/NSE74-A23375
Articles are hosted by Taylor and Francis Online.
The loop considered consists of an equivalent downcomer and a channel divided into a heated test section and an unheated riser. The preliminary structure of the lumped-parameter model is obtained by integrating partially, over the space coordinate, the system of nonlinear partial differential equations that state the mass, energy, and momentum conservation. The same formalism, however, should not be used for specifying the final structure of the model; it is shown that in this way it is not possible to represent adequately the basic mechanism of hydrodynamic instability, i.e., to define the interaction between the mass velocity and the void fraction, resulting from the friction in the boiling part of the heated test section. A procedure is proposed for specifying the final structure of the lumped-parameter model that can be adequately used instead of distributed parameter models in a wide range of system parameters and operating conditions. The model SINOD is formulated in terms of four nonlinear first-order ordinary differential equations and one time lag. Since the time lag can be neglected in most analyses, the model reduces to a system of only three nonlinear first-order ordinary differential equations. An important particularity of the model is that both the steady-state and the dynamic calculations can be performed by solving the same system of differential equations. The input data are the parameters specifying the geometry of the test loop, the physical parameters of the fluid, the channel inlet, and the riser outlet pressure drop coefficients. The two-phase friction multiplier and the slip ratio correlations are arbitrary. The validity of the proposed model is examined by comparing the results with the experimental data obtained on the test loops FRÖJA, FRIGG, SKÄLAVAN, and the Halden Loop, as well as with the results obtained using the distributed parameter models HYDRO and RAMONA.