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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. Busigin, S.K. Sood
Fusion Science and Technology | Volume 28 | Number 3 | October 1995 | Pages 544-549
Tritium Processing | Proceedings of the Fifth Topical Meeting on Tritium Technology in Fission, Fusion, and Isotopic Applications Belgirate, Italy May 28-June 3, 1995 | doi.org/10.13182/FST95-A30459
Articles are hosted by Taylor and Francis Online.
Steady state and dynamic simulation studies of the ITER Hydrogen Isotope Separation System (ISS) are presented. Ontario Hydro's FLOSHEET code has been used as the reference code for design studies of the ISS. Dynamic simulations were also carried out using Ontario Hydro's new DYNSIM code. Both codes have been verified against experimental and operating data from operating distillation systems. The DYNSIM code was used to model closed-loop control of the ISS under start-up conditions. The ITER ISS is expected to almost always operate under non-steady-state conditions. Start-up is of particular interest because it defines an upper bound of time to steady state for the system. Normal operation involves feed and product flow adjustments, which are much shorter term perturbations to the system. The simulated control scheme for ITER is similar to Princeton University's TFTR Tritium Purification System (TPS), which has recently been successfully commissioned. For the ITER ISS, dynamic simulation is important because it allows study of product quality control schemes and control system design. It also allows accurate assessment of tritium inventory variation in different operating modes. The cryogenic distillation model in the new DYNSIM code is described here in detail, including the underlying theory and numerical simulation approach. The discussion also addresses the suitability of different ISS design tools in terms of the design process, as well as HETP versus mass transfer modelling approaches.