PSAM 16 - Paper Overview

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Mattias Håkansson Co-author(s): Gunnar Johanson gunnar.johanson@afry.com

C-BOOK: COMMON CAUSE FAILURE RELIABILITY DATA BOOK (UPDATE)
Common Cause Failure (CCF) events can significantly impact the availability of safety systems of nuclear power plants. In recognition of this, CCF data are systematically being collected and analysed in several countries under the framework of the International Common Cause Data Exchange (ICDE) project. In 2017, the first version of the CCF data book (C-book) was published by the Nordic PSA Group (NPSAG). The C-book provides the Nordic PSA practitioners with CCF reliability data for the dependency analysis that is considered in the compulsory, probabilistic safety assessment (PSA) of nuclear power plants. The C-Book should be considered as an important step in the continuous effort to collect and analyse data on CCF of safety components at NPPs, and to improve quality of data in PSA. In 2021, a second version of the C-book was published by NPSAG, and it considers that the collected data has doubled since the first version. This second version of the C-book presents the methodology for quantification of CCF rates, CCF probabilities and alpha factors for k-out-of-n failures. Generic CCF reliability data tables, supported by sensitivity cases, general trends, and comparisons with other CCF data sources. The C-book includes a comprehensive procedure including all steps from CCF event input data, via event impact vectors, to final CCF parameters, which has been developed and validated. The procedure provides a common basis for methods and guidelines for data classification and assessment, and by establishing a format to allow data to be shared for quantifications and provide interpretation of raw data for exchange and use in quantification models. The input data to the analyses represents homogenous subsets of data reported to the ICDE, where events are analysed and reviewed in a team review to achieve quality assurance. The quantification tasks are presented in a transparent way, which includes the data analysis for impact vector construction and Bayesian parameter estimation. The sensitivity cases address important aspects of data subsets, especially by separating design and human error related events. In conclusion, the updated CCF data book, which contains generic and plant specific CCF rates, probabilities, and alpha factors, will improve the quality of data for the dependency analysis in the PSA of nuclear power plants.

C-BOOK: COMMON CAUSE FAILURE RELIABILITY DATA BOOK (UPDATE)

Common Cause Failure (CCF) events can significantly impact the availability of safety systems of nuclear power plants. In recognition of this, CCF data are systematically being collected and analysed in several countries under the framework of the International Common Cause Data Exchange (ICDE) project. In 2017, the first version of the CCF data book (C-book) was published by the Nordic PSA Group (NPSAG). The C-book provides the Nordic PSA practitioners with CCF reliability data for the dependency analysis that is considered in the compulsory, probabilistic safety assessment (PSA) of nuclear power plants. The C-Book should be considered as an important step in the continuous effort to collect and analyse data on CCF of safety components at NPPs, and to improve quality of data in PSA. In 2021, a second version of the C-book was published by NPSAG, and it considers that the collected data has doubled since the first version. This second version of the C-book presents the methodology for quantification of CCF rates, CCF probabilities and alpha factors for k-out-of-n failures. Generic CCF reliability data tables, supported by sensitivity cases, general trends, and comparisons with other CCF data sources. The C-book includes a comprehensive procedure including all steps from CCF event input data, via event impact vectors, to final CCF parameters, which has been developed and validated. The procedure provides a common basis for methods and guidelines for data classification and assessment, and by establishing a format to allow data to be shared for quantifications and provide interpretation of raw data for exchange and use in quantification models. The input data to the analyses represents homogenous subsets of data reported to the ICDE, where events are analysed and reviewed in a team review to achieve quality assurance. The quantification tasks are presented in a transparent way, which includes the data analysis for impact vector construction and Bayesian parameter estimation. The sensitivity cases address important aspects of data subsets, especially by separating design and human error related events. In conclusion, the updated CCF data book, which contains generic and plant specific CCF rates, probabilities, and alpha factors, will improve the quality of data for the dependency analysis in the PSA of nuclear power plants.

Paper MA105 Preview

Author and Presentation Info

Lead Author Name: Mattias Håkansson (mattias.hakansson@riskpilot.se)

Bio: Mattias has about 11 years of experience with safety analysis within the nuclear power industry in Sweden. Mattias has participated in several international research projects with focus on CCF (common-cause failure) analysis, addressing both qualitative and quantitative aspects.

Country: Sweden
Company: Risk Pilot AB
Job Title: Technical consultant

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Paper MA105 Preview

Author and Presentation Info

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