Estimating Passive System Reliability and Integration into Probabilistic Safety Assessment

被引:2
|
作者
Solanki, R. B. [1 ]
Singh, Suneet [2 ]
Varde, P. V. [3 ]
Verma, A. K. [4 ]
机构
[1] Atom Energy Regulatory Board, Mumbai, Maharashtra, India
[2] IIT, Dept Energy Sci, Mumbai, Maharashtra, India
[3] Bhabha Atom Res Ctr, Mumbai, Maharashtra, India
[4] Western Norway Univ Appl Sci, Haugesund, Norway
关键词
Passive system reliability; Probabilistic safety assessment; Artificial neural network; Response surface method; Risk spectrum;
D O I
10.1007/978-981-13-9008-1_1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Passive safety systems are being increasingly deployed into advanced designs of nuclear power plants (NPPs) with an objective of enhancing the safety. Passive systems are considered to be more reliable than the active systems as mechanical failures of active component and failure due to human errors are not contributing towards the system failure probability. The introduction of passive systems into NPPs on the one hand improves the reliability, and it poses challenges to the estimation of its reliability and integration into probabilistic safety assessment (PSA). The active system reliability can be estimated using the classic fault tree analysis technique. For estimating the passive system reliability, a different approach is required due to the presence of phenomenological failures apart from the mechanical component failures. In this paper, the approach is presented to estimate the passive system reliability of a typical isolation condenser system using artificial neural network (ANN)-based response surface method. The integration of passive system reliability into PSA is also demonstrated using the accident sequence analysis for a typical operational transient, which requires NPP to shut down from the full power and successfully remove the residual heat from the reactor core through isolation condenser system. The thermal-hydraulic behaviour of the isolation condenser system is analysed using thermal-hydraulic computer code RELAP 5/MOD3.2 for different system configurations depending upon the initial conditions of the process parameters. The variability of the process parameters is represented by discrete probability distribution within the given operating range. The reliability of the reactor protection system (RPS) is estimated using the fault tree analysis method using Risk Spectrum computer code. The core damage frequency induced through the operational transient is estimated using the classical event tree analysis approach. The open issues are also identified for integration of passive system reliability into PSA for future work.
引用
收藏
页码:3 / 13
页数:11
相关论文
共 50 条
  • [1] Methodology for the reliability evaluation of a passive system and its integration into a Probabilistic Safety Assessment
    Marquès, M
    Pignatel, JF
    Saignes, P
    D'Auria, F
    Burgazzi, L
    Müller, C
    Bolado-Lavin, R
    Kirchsteiger, C
    La Lumia, V
    Ivanov, I
    [J]. NUCLEAR ENGINEERING AND DESIGN, 2005, 235 (24) : 2612 - 2631
  • [2] Passive System Reliability Assessment and Its Integration Into PSA
    Solanki, R.B.
    [J]. Springer Series in Reliability Engineering, 2020, : 417 - 434
  • [3] A Reliability Assessment Methodology for the VHTR Passive Safety System
    Lee, Hyungsuk
    Jae, Moosung
    [J]. ATW-INTERNATIONAL JOURNAL FOR NUCLEAR POWER, 2014, 59 (10): : 564 - +
  • [4] Application of Chernoff bound to passive system reliability evaluation for probabilistic safety assessment of nuclear power plants
    So, Eunseo
    Kim, Man Cheol
    [J]. NUCLEAR ENGINEERING AND TECHNOLOGY, 2022, 54 (08) : 2915 - 2923
  • [5] Probabilistic assessment of potential major industrial accidents:: Estimating reliability of safety barriers
    Forest, C.
    Miche, E.
    de Dianous, V.
    Chaumette, S.
    [J]. RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3: VOL 1: SPECIALISATION TOPICS; VOL 2: THEMATIC TOPICS; VOL 3: APPLICATIONS TOPICS, 2007, : 27 - 34
  • [6] A quantitative evaluation of reliability of passive systems within probabilistic safety assessment framework for VHTR
    Han, Seok-Jung
    Yang, Joon-Eon
    [J]. ANNALS OF NUCLEAR ENERGY, 2010, 37 (03) : 345 - 358
  • [7] A METHODOLOGY FOR THE INTEGRATION OF PASSIVE SYSTEM RELIABILITY WITH SUCCESS CRITERIA IN A PROBABILISTIC FRAMEWORK FOR ADVANCED REACTORS
    Brunett, Acacia J.
    Grabaskas, Dave
    Bucknor, Matthew
    Passerini, Stefano
    [J]. PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2016, VOL 2, 2016,
  • [8] Reliability of safety systems and probabilistic risk assessment
    Martorell, Sebastian
    Marton, Isabel
    Villamizar, Maryory
    [J]. CISAP4: 4TH INTERNATIONAL CONFERENCE ON SAFETY & ENVIRONMENT IN PROCESS INDUSTRY, 2010, 19 : 321 - 326
  • [9] Human Reliability Assessment as a Part of Shutdown Probabilistic Safety Assessment
    Cepin, Marko
    Zou, Yanhua
    [J]. 27TH INTERNATIONAL CONFERENCE NUCLEAR ENERGY FOR NEW EUROPE (NENE 2018), 2018,
  • [10] Calculation and Updating of Reliability Parameters in Probabilistic Safety Assessment
    Zubair, Muhammad
    Zhang, Zhijian
    Khan, Salah Ud Din
    [J]. JOURNAL OF FUSION ENERGY, 2011, 30 (01) : 13 - 15