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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.
P. F. Zweifel, Joel H. Ferziger
Nuclear Science and Engineering | Volume 10 | Number 4 | August 1961 | Pages 357-361
doi.org/10.13182/NSE61-A15378
Articles are hosted by Taylor and Francis Online.
A “consistent P1” four-factor formula is derived. This formula, which contains an additional term not found in the usual four-factor formula, introduces a change in keff ∼ D2B2 where D is the thermal diffusion coefficient. The term is negative for hydrogen and positive for other moderators. The correction will be at most 1% Δk for a practical system. Since the four-factor formula is not expected to be accurate to 1%, it is proposed that this term be used mainly as a criterion for determining whether consistent P1 multigroup calculations are required, or whether simple group diffusion methods will suffice. By using the consistent P1 equations when the term D2B2 is of the order 1%, one will avoid the introduction of a consistent error into his reactor calculations. Finally, the consistent P1 multigroup equations are displayed, and it is seen that the procedure for their solution is not a great deal more difficult than for solving the usual multigroup equations.