User-friendliness and transparency in PSA modelling

Cilla Andersson, Stefan Authén, Jan-Erik Holmberg

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

Most of the probabilistic safety assessments (PSA) for Nuclear Power Plants were originally created to make conservative estimates of the core damage frequencies for internal events, which might occur during power operation. The PSA models have then been expanded to replace conservative estimates with more realistic assumptions and to include other types of initiating events, modes of operation and end states. The development has resulted in very large and detailed models, which are hard to understand completely, even for an experienced PSA engineer. Today, the trend to increase the level of detail and the scope of the PSA models continues as a consequence of regulatory requirements. Hence the Nordic PSA Group (NPSAG) has initiated a project with the aim of identifying methods to reduce the complexity of the PSA models. This paper presents and discusses the results of the first part of the project in which areas of importance for the user-friendliness and transparency of a PSA are identified.
Original languageEnglish
Title of host publicationProceedings of PSAM 10
Subtitle of host publicationInternational Probabilistic Safety Assessment & Management Conference, 7–11 June 2010, Seattle, Washington, USA
PublisherInternational Association of Probabilistic Safety Assessment and Management IAPSAM
Pages572-577
ISBN (Print)978-1-4507-1556-0
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
Event10th International Probabilistic Safety Assessment & Management Conference, PSAM 10 - Seattle, United States
Duration: 7 Jun 201011 Jun 2010

Conference

Conference10th International Probabilistic Safety Assessment & Management Conference, PSAM 10
Abbreviated titlePSAM 10
CountryUnited States
CitySeattle
Period7/06/1011/06/10

Keywords

  • PSA
  • PRA
  • transparency
  • quality of risk analysis
  • risk-informed applications

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