WGRISK DIGMAP: Comparison of PSA modelling approaches for digital I&C

Markus Porthin, Sung Min Shin, Milan Jaros, Jiri Sedlak, Paolo Picca, Richard Quatrain, Jeanne Demgne, Hans Brinkman, Venkat Natarajan, Tero Tyrväinen, Christian Mueller, Ewgenij Piljugin

Research output: Contribution to conferenceConference articleScientificpeer-review


Nuclear power plants (NPPs) are increasingly being equipped with digital I&C systems. Although some probabilistic safety assessment (PSA) models for the digital I&C of NPPs have been constructed, there is currently no specific internationally agreed guidance for their modeling. Thus, the OECD Nuclear Energy Agency (NEA) Committee on the Safety of Nuclear Installations (CSNI) Working Group on Risk Assessment (WGRISK) initiated a task called “Digital I&C PSA – Comparative application of DIGital I&C Modeling Approaches for PSA” (DIGMAP) in 2017. The PSA models of an exemplary NPP, simplified to focus on digital I&C, developed by six organizations were compared and sensitivity studies on the models were conducted in order to find valuable insights on modeling of digital I&C. The activity resulted in a set of qualitative and quantitative learnings concerning e.g., failure behavior of digital I&C systems, different levels of modeling abstraction and the main elements determining the core damage frequency of the reference case as well as those with only minor effect on the results. The study also highlighted the challenges with modeling of large common cause component groups and the difficulties associated with estimation of key parameters related to software (incl. software probability of failure on demand and common cause failure factors) and coverage of diagnostic tests.
Original languageEnglish
Number of pages10
Publication statusPublished - 17 Jun 2021
MoE publication typeNot Eligible
Event12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies -
Duration: 14 Jun 202117 Jun 2021
Conference number: 12


Conference12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies
Abbreviated titleNPIC and HMIT 2021
Internet address


  • digital I&C
  • probabilistic safety assessment
  • nuclear power plant
  • benchmark
  • modeling


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