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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.
Robert P. Rulko
Nuclear Science and Engineering | Volume 121 | Number 3 | December 1995 | Pages 371-392
Technical Paper | doi.org/10.13182/NSE95-A24141
Articles are hosted by Taylor and Francis Online.
Historically, the even-order PN equations have been considered a less accurate approximation to the transport equation than the odd-order PN-1 equations. This perception has stemmed from two apparent conceptual difficulties imposed by the even-order PN methods— the difficulty in prescribing rigorous boundary conditions for even-order PN equations that contain the odd number of angular flux moments and the discontinuous character of the even-order PN solutions at material interfaces. With the first one of the mentioned even-order PN conceptual problems, a presentation is made of a straightforward and physically-motivated variational procedure based on a new functional that leads from a multigroup planar geometry transport problem to a multigroup P2 problem with clearly and rigorously defined multigroup boundary conditions. These boundary conditions are new and allow neutron transfer between energy groups at the boundary. These boundary conditions are tested by comparing P2, P1, and SN calculations. Our results show that in the test problems considered, the multigroup P2 equations with variational boundary conditions are always more accurate than the P1 multigroup equations with Federighi-Pomraning or Marshak boundary conditions applied to each energy group.