Contribution of Human Reliability in Power Probabilistic Safety Assessment Models Versus Shutdown Models
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 6, Issue 1
Abstract
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. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4044783.
Information & Authors
Information
Published In
Copyright
Copyright © 2020 by ASME.
History
Received: Sep 6, 2018
Revision received: Apr 22, 2019
Published online: Oct 31, 2019
Published in print: Mar 1, 2020
Authors
Funding Information
Slovenian Research Agencyhttp://dx.doi.org/10.13039/501100004329: P2-0356
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.