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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
Charles Abou-Ghantous
Nuclear Technology | Volume 52 | Number 1 | January 1981 | Pages 57-65
Technical Paper | Fuel Cycle | doi.org/10.13182/NT81-A32689
Articles are hosted by Taylor and Francis Online.
A simple economic analysis is proposed for light water reactor (LWR) in-core fuel management. Its final objective is the fuel cost. Using the discrete discounting technique with single payment costs, the fuel cost for one equilibrium cycle or a sequence of a number of nonequilibrium cycles may be determined. In this latter case, the costs are projected as groups of costs at the reference time. This technique is simplified by defining new economic factors, time scales, and burnup values. The fuel cost thus obtained is an average cost over the number of cycles considered. This analysis is written as a subroutine FULCOS suitable for absorption by short running computer codes that work the optimization problems for LWRs.