GE Hitachi Nuclear Energy (GEH) and Argonne National Laboratory are currently engaged in a joint effort to modernize and develop probabilistic risk assessment (PRA) techniques for advanced non-light water reactors. At a high level, the primary outcome of this project will be the development of next-generation PRA methodologies that will enable risk-informed prioritization of safety- and reliability-focused research and development, while also identifying gaps that may be resolved through additional research. A subset of this effort is the development of PRA methodologies that can be used for the determination of passive system reliability while integrating quantitative success criteria into the risk analysis framework. An updated passive system reliability approach has been developed for utilization in the PRISM PRA that systematically characterizes the impact of passive safety systems on key success criteria. This methodology is derived from the Reliability Method for Passive Systems (RMPS), but is refined to explicitly include consideration of overall mission success through satisfaction of success criteria, rather than only focusing on the passive system itself. This paper provides details on the integrated methodology, focusing on the interface between passive system reliability and success criteria. Specific examples for the passive systems/features of interest, RVACS and inherent reactivity feedback, are included. Additionally, aspects of the integrated passive system and success criteria methodology as they relate to the ASME/ANS Non-LWR PRA Standard are identified and discussed.
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2016 24th International Conference on Nuclear Engineering
June 26–30, 2016
Charlotte, North Carolina, USA
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5002-2
PROCEEDINGS PAPER
A Methodology for the Integration of Passive System Reliability With Success Criteria in a Probabilistic Framework for Advanced Reactors
Acacia J. Brunett,
Acacia J. Brunett
Argonne National Laboratory, Argonne, IL
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Dave Grabaskas,
Dave Grabaskas
Argonne National Laboratory, Argonne, IL
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Matthew Bucknor,
Matthew Bucknor
Argonne National Laboratory, Argonne, IL
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Stefano Passerini
Stefano Passerini
Argonne National Laboratory, Argonne, IL
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Acacia J. Brunett
Argonne National Laboratory, Argonne, IL
Dave Grabaskas
Argonne National Laboratory, Argonne, IL
Matthew Bucknor
Argonne National Laboratory, Argonne, IL
Stefano Passerini
Argonne National Laboratory, Argonne, IL
Paper No:
ICONE24-60749, V002T06A029; 10 pages
Published Online:
October 25, 2016
Citation
Brunett, AJ, Grabaskas, D, Bucknor, M, & Passerini, S. "A Methodology for the Integration of Passive System Reliability With Success Criteria in a Probabilistic Framework for Advanced Reactors." Proceedings of the 2016 24th International Conference on Nuclear Engineering. Volume 2: Smart Grids, Grid Stability, and Offsite and Emergency Power; Advanced and Next Generation Reactors, Fusion Technology; Safety, Security, and Cyber Security; Codes, Standards, Conformity Assessment, Licensing, and Regulatory Issues. Charlotte, North Carolina, USA. June 26–30, 2016. V002T06A029. ASME. https://doi.org/10.1115/ICONE24-60749
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