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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.
K. A. Williams
Fusion Science and Technology | Volume 20 | Number 4 | December 1991 | Pages 529-536
Overview/Energy Policy | doi.org/10.13182/FST91-A11946895
Articles are hosted by Taylor and Francis Online.
Most emerging nuclear energy systems are in the early phases of the research, development, design, and deployment life cycle and/or represent pioneer or first-of-a-kind projects; hence, the uncertainties associated with capital and life cycle costs are often considerable. The type of cost estimate prepared for a given system also depends heavily on the system's development/deployment status, and the cost projections prepared prior to the decision to construct a facility or system often do not incorporate all of the relevant uncertainties.
The purpose of this paper is to survey the types of cost estimates typically prepared for selected nuclear systems at various stages of project development and to describe cost-engineering methodologies which may be used to produce more meaningful and realistic estimates. Examples utilizing nuclear technologies evaluated at Oak Ridge are used to illustrate these methods. Among the techniques considered are probabilistic cost-risk analysis, parametric cost models coupled to system/process performance and design models, and cost growth models based on historical experience with pioneer technologies. In addition to the above survey, the author discusses pitfalls and problems associated with early cost projections. A major premise is the fact that the standard “estimator's contingency” usually does not cover the myriad economic risks inherent to emerging energy-related or nuclear systems.