Contribution of Human Reliability in Power Probabilistic Safety Assessment Models Versus Shutdown Models

被引:1
|
作者
Cepin, Marko [1 ]
机构
[1] Univ Ljubljana, Fac Elect Engn, Trzaska Cesta 25, Ljubljana 1000, Slovenia
来源
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING | 2020年 / 6卷 / 01期
关键词
ERRORS; HRA;
D O I
10.1115/1.4044783
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Human reliability analysis is a method, which evaluates the human error probabilities of human failure events, which may arise when human actions are required in operation of the considered facility or system. The objective of the work is to show the contribution of human failure events in probabilistic safety assessment with focus on comparison of this contribution over the different plant operating states. The method integrates the diagnosis and action part, which are evaluated for all steps, which are needed for modeling of the human action under investigation considering the parameters, which impact the human failure probability and which are obtained from database. The results show that the risk contribution of human failure events is notably higher in low power and shutdown states than in full power operation. The results show that the human factor in shutdown plant states is the most important risk contributor regarding the contribution to the core damage frequency and regarding the risk reduction worth and risk achievement worth. Only at some plant operating states, some other groups of equipment show larger risk achievement worth than group of human failure events.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Models for probabilistic power transmission system reliability calculation.
    Bak-Jensen, B
    Bech, J
    Bjerregaard, CG
    Jensen, PR
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (03) : 1166 - 1171
  • [22] Statistical and probabilistic models in reliability
    Courgeau, D
    POPULATION, 1999, 54 (02): : 353 - 354
  • [23] Dynamic models for safety shutdown of distillation columns
    Bodizs, L.
    Hahn, M.
    Rix, A.
    Schallenberg, J.
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2015, 99 : 208 - 214
  • [24] Consideration of ageing within probabilistic safety assessment models and results
    Cepin, M.
    Volkanovski, A.
    KERNTECHNIK, 2009, 74 (03) : 140 - 149
  • [25] First experiences regarding probabilistic fire safety assessment for full power and low power/shutdown operational states
    Berg, HP
    Röwekamp, M
    Türschmann, M
    von Linden, J
    PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL 1- 6, 2004, : 2468 - 2473
  • [26] House events matrix for application in shutdown probabilistic safety assessment
    Cepin, M.
    APPLIED MATHEMATICS IN ENGINEERING AND RELIABILITY, 2016, : 201 - 206
  • [27] On Some Probabilistic Models for Software Reliability
    David, Nicoleta
    Patrascu, Lucian
    Ratiu, Ioan-Gheorghe
    Carstea, Claudia-Georgeta
    Plesea, Doru
    Damian, Daniela
    PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND OPTIMIZATION, 2009, : 61 - 64
  • [29] Models and methods for probabilistic safety assessment of steel structures subject to fatigue
    Maljaars, Johan
    Leander, John
    Nussbaumer, Alain
    Sorensen, John Daalsgaard
    Straub, Daniel
    STRUCTURAL SAFETY, 2025, 113
  • [30] Safety requirements and probabilistic models of resistance in the assessment of existing railway bridges
    Ramon Casas, Joan
    Wisniewski, Dawid
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2013, 9 (06) : 529 - 545