International case study comparing PSA modeling approaches for nuclear digital I&C - OECD/NEA task DIGMAP

被引:1
作者
Porthin, Markus [1 ]
Shin, Sung-Min [2 ]
Quatrain, Richard [3 ]
Tyrvainen, Tero [4 ]
Sedlak, Jiri [5 ]
Brinkman, Hans [6 ]
Mueller, Christian [7 ]
Picca, Paolo [8 ]
Jaros, Milan [5 ]
Natarajan, Venkat [6 ]
Piljugin, Ewgenij [7 ]
Demgne, Jeanne [3 ]
机构
[1] Paul Scherrer Inst PSI, Forschungsstr 111, CH-5232 Villigen, Switzerland
[2] Korea Atom Energy Res Inst KAERI, Daedeok Daero 989Beon Gil, Daejeon, South Korea
[3] EDF Lab Paris Saclay, EDF R&D, 7 Blvd Gaspard Monge, F-91120 Palaiseau, France
[4] VTT Tech Res Ctr Finland Ltd VTT, POB 1000, FI-02044 Espoo, Finland
[5] UJV Rez As, Hlavni 130, Rez 25068, Husinec, Czech Republic
[6] NRG, Utrechtseweg 310,B50 West, NL-6800 ES Arnhem, Netherlands
[7] Forschungszentrum, Gesell Anlagen & Reaktorsicherheit GRS gGmbH, Boltzmannstr 14, D-85748 Garching, Germany
[8] Off Nucl Regulat ONR, Merton Rd, Bootle L20 7HS, England
基金
新加坡国家研究基金会;
关键词
Digital I&C; Probabilistic safety assessment; Nuclear power plant; Case study; Reliability; Benchmarking; SOFTWARE-RELIABILITY; CONTROL-SYSTEM;
D O I
10.1016/j.net.2023.08.012
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Nuclear power plants are increasingly being equipped with digital I&C systems. Although some probabilistic safety assessment (PSA) models for the digital I&C of nuclear power plants have been constructed, there is currently no specific internationally agreed guidance for their modeling. This paper presents an initiative by the OECD Nuclear Energy Agency called "Digital I&C PSA - Comparative application of DIGital I&C Modelling Approaches for PSA (DIGMAP)", which aimed to advance the field towards practical and defendable modeling principles. The task, carried out in 2017-2021, used a simplified description of a plant focusing on the digital I&C systems important to safety, for which the participating organizations independently developed their own PSA models. Through comparison of the PSA models, sensitivity analyses as well as observations throughout the whole activity, both qualitative and quantitative lessons were learned. These include insights on failure behavior of digital I&C systems, experience from models with different levels of abstraction, benefits from benchmarking as well as major contributors to the core damage frequency and those with minor effect. The study also highlighted the challenges with modeling of large common cause component groups and the difficulties associated with estimation of key software and common cause failure parameters.
引用
收藏
页码:4367 / 4381
页数:15
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