Contribution of human reliability analysis to the results of probabilistic safety assessment of the nuclear power plant

被引:0
|
作者
Cepin, Marko [1 ]
Prosek, Andrej [2 ]
机构
[1] Inst Jozef Stefan, Odsek Reaktorsko Tehn, Ljubljana, Slovenia
[2] Inst Jozef Stefan, Odsek Reaktorsko, Ljubljana, Slovenia
来源
关键词
safety; reliability; nuclear power plant; human;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The human contribution to the undesired events in technological systems is still significant despite automation of systems and processes. In the probabilistic safety assessment, which is a standardized tool for assessment and improvement of nuclear power plant safety, it is possible to consider the human reliability analysis in addition of the risk analysis of component and system failures. The objective of this paper is to show how the human reliability analysis is integrated into the probabilistic safety assessment and to assess effects of human reliability on the nuclear power plant safety compared to the contribution of the selected safety equipment. A method for human reliability analysis was developed. Fig. 1 shows how the human reliability analysis is integrated into the probabilistic safety assessment. Equation 1 provides an expression for quantification of the risk contribution of the selected events. The expression is based on eqs. 2 and 3, which calculate the system unavailability based on failure probabilities of its components and related human errors. A detailed model of a specific nuclear power plant is investigated. Fig. 2 shows the result of parametric deterministic analysis from which a time window for operator action is determined. Results in figure 3 show that the risk contribution of all human errors is comparable to the risk contribution of diesel generators. Abbreviations used in Fig. 3 are explained in Table 1. The results show that the risk contribution of initiator events and pre-initiator events is negligible. The results in Fig. 4 show that only a few human errors notably contribute to the risk. The majority of human errors contributes negligibly or even do not contribute at all. Abbreviations of Fig. 4 are explained in Table 2. Fig. 4 and Table 2 identify the most important human actions to be trained in the plant full scope simulator. Figs. 5 and 6 show partial results of the probabilistic safety assessment focusing only on one initiating event (i. e. loss of offsite power) and to its subsequent scenarios. Figure 5 shows the risk contributions of selected groups of events for all scenarios of the loss of offsite power initiating event. Fig. 6 shows the risk contributions of the same groups for specific scenarios of the loss of offsite power initiating event separately. Results show that the risk contributions of specific events or groups of events vary from one scenario to another and from one initiating event to another. Identification of the most important human actions in general and for specific initiating events is the input for defining training in the full scope plant simulator. It decreases the human error probability for trained human actions. The decrease in the human error probability increases the nuclear power plant safety accordingly.
引用
收藏
页码:139 / 144
页数:6
相关论文
共 50 条
  • [1] Methodology and results of a nuclear power plant seismic probabilistic safety assessment
    Richner, Martin
    Tinic, Sener
    Proske, Dirk
    Ravindra, Mayasandra
    Campbell, Robert
    Beigi, Farzin
    Asfura, Alejandro
    [J]. APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, 2011, : 1528 - 1536
  • [2] Methodology and results of the seismic probabilistic safety assessment of Krsko Nuclear Power Plant
    Vermaut, M
    Monette, P
    Shah, P
    Campbell, RD
    [J]. NUCLEAR ENGINEERING AND DESIGN, 1998, 182 (01) : 59 - 72
  • [3] Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review
    Purba, Julwan Hendry
    [J]. PROGRESS IN NUCLEAR ENERGY, 2014, 76 : 73 - 80
  • [4] Contribution of Human Reliability in Power Probabilistic Safety Assessment Models Versus Shutdown Models
    Cepin, Marko
    [J]. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 2020, 6 (01):
  • [5] AN INTELLIGENT SYSTEM BY FUZZY RELIABILITY ALGORITHM IN FAULT TREE ANALYSIS FOR NUCLEAR POWER PLANT PROBABILISTIC SAFETY ASSESSMENT
    Purba, Julwan Hendry
    Lu, Jie
    Zhang, Guangquan
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2014, 13 (03)
  • [6] Probabilistic safety analysis of the Unterweser Nuclear Power Plant - Scope, methods, results
    Breiling, G
    Grubel, H
    Oehmgen, T
    [J]. ANNUAL MEETING ON NUCLEAR TECHNOLOGY '99, PROCEEDINGS, 1998, : 209 - 212
  • [7] APPLICATION OF PROBABILISTIC SAFETY ANALYSIS FOR NUCLEAR POWER PLANT OVERHAUL RISK ASSESSMENT
    Liu, Deyi
    Cao, Yong
    Zhao, Ming
    Luo, Yang
    Zou, Shengjia
    Hu, Mengying
    Xu, Jie
    Wang, Li
    Zhao, Ling
    [J]. PROCEEDINGS OF 2021 28TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING (ICONE28), VOL 3, 2021,
  • [8] Probabilistic safety analysis for the Brokdorf Nuclear Power Plant
    Hanisch, T
    Wenzel, J
    [J]. ANNUAL MEETING ON NUCLEAR TECHNOLOGY '97, 1997, : 283 - 286
  • [9] Safety margin sensitivity analysis for model selection in nuclear power plant probabilistic safety assessment
    Di Maio, Francesco
    Picoco, Claudia
    Zio, Enrico
    Rychkov, Valentin
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 162 : 122 - 138
  • [10] Digital technologies in nuclear power plant probabilistic safety assessment
    Aksenov, P. L.
    Egorov, M. Y.
    [J]. INTERNATIONAL SCIENTIFIC CONFERENCE DIGITAL TRANSFORMATION ON MANUFACTURING, INFRASTRUCTURE AND SERVICE, 2020, 940