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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
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.
M. Malicki, T. Lind
Nuclear Technology | Volume 211 | Number 12 | December 2025 | Pages 2911-2928
Research Article | doi.org/10.1080/00295450.2025.2465216
Articles are hosted by Taylor and Francis Online.
This paper presents an uncertainty analysis of the source term (ST) in a pressurized water reactor (PWR) station blackout (SBO) accident using the MELCOR2.2 code coupled with DAKOTA via SNAP. Severe accident (SA) simulations in nuclear reactors are fraught with uncertainties due to complex phenomenology and numerical model simplifications. While the best-estimate plus uncertainty (BEPU) methodology is well established in thermohydraulic studies, its application to SA scenarios is relatively new.
This study is part of the European Management and Uncertainties of Severe Accidents (MUSA) project, which to some extent, aims to integrate BEPU methodologies into SA simulations. Two figures of merit focused on ST retention in the steam generator (SG) and releases of selected radionuclides to the environment were analyzed. The uncertain parameters used in this study, chosen based on a literature study and project discussions, are related to core degradation and aerosol phenomena. The results highlight significant uncertainties in the ST calculations influenced by variations in the aerosol behavior and core degradation parameters.
In conclusion, this study illustrates the application of BEPU methodology to SA uncertainty analysis in a PWR SBO plus SG tube rapture scenario. The findings indicate a potential for improving SA models and reducing uncertainties, contributing to the MUSA project’s goals of enhancing nuclear plant safety analyses and reliability.