scholarly journals Human reliability analysis in the U.S. Nuclear power industry: A comparison of atomistic and holistic methods

2005 ◽  
Author(s):  
Ronald L. Boring ◽  
David I. Gertman ◽  
Jeffrey C. Joe ◽  
Julie L. Marble
Keyword(s):  
Reliability Analysis ◽  
Nuclear Power ◽  
Power Industry ◽  
Nuclear Power Industry ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
The U.S

scholarly journals Human Reliability Analysis in the U.S. Nuclear Power Industry: A Comparison of Atomistic and Holistic Methods

2005 ◽  
Vol 49 (19) ◽  
pp. 1815-1819
Author(s):  
Ronald L. Boring ◽  
David I. Gertman ◽  
Jeffrey C. Joe ◽  
Julie L. Marble
Keyword(s):  
Reliability Analysis ◽  
Nuclear Power ◽  
Human Error ◽  
Holistic Approach ◽  
Power Industry ◽  
Nuclear Power Industry ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Holistic Approaches ◽  
Error Probabilities

A variety of methods have been developed to generate human error probabilities for use in the US nuclear power industry. When actual operations data are not available, it is necessary for an analyst to estimate these probabilities. Most approaches, including THERP, ASEP, SLIM-MAUD, and SPAR-H, feature an atomistic approach to characterizing and estimating error. The atomistic approach is based on the notion that events and their causes can be decomposed and individually quantified. In contrast, in the holistic approach, such as found in ATHEANA, the analysis centers on the entire event, which is typically quantified as an indivisible whole. The distinction between atomistic and holistic approaches is important in understanding the nature of human reliability analysis quantification and the utility and shortcomings associated with each approach.

The Human Reliability Analysis in Fire PSA Using Spar-H Method

2013 ◽  
Author(s):  
Yao Wang
Keyword(s):  
Reliability Analysis ◽  
Nuclear Power ◽  
Significant Contribution ◽  
Fire Risk ◽  
Nuclear Industry ◽  
Total Risk ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Study Results ◽  
In Fire

According to existing research results, fire risk makes a significant contribution to the total risk of a nuclear power plant (NPP). So fire probabilistic safety analysis (PSA) for NPPs is becoming more and more important in recent years. How to perform human reliability analysis (HRA) which is an essential part of PSA is therefore being paid more and more attention in fire PSA. This paper describes the characteristics and special considerations of HRA in fire PSA, and demonstrates in fire PSA how to use SPAR-H method which is so-called an advanced second-generation HRA method and is being widely used in PSA for Chinese NPPs. The study results can be a reference for other HRA analysts to use SPAR-H method in fire PSA models or other PSA models in Chinese NPPs or the world-wide nuclear industry.

scholarly journals Retrospective Application of Human Reliability Analysis for Oil and Gas Incidents: A Case Study Using the Petro-HRA Method

2017 ◽  
Vol 61 (1) ◽  
pp. 1653-1657
Author(s):  
Ronald L. Boring ◽  
Martin Rasmussen ◽  
Thomas A. Ulrich ◽  
Harold S. Blackman
Keyword(s):  
Reliability Analysis ◽  
Nuclear Power ◽  
Oil And Gas ◽  
Nuclear Industry ◽  
Oil Well ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Safety Incident ◽  
Current Guidance

Human reliability analysis (HRA) may be performed prospectively for a newly designed system or retrospectively for an as-built system, typically in response to a safety incident. The SPAR-H HRA method was originally developed for retrospective analysis in the U.S. nuclear industry. As HRA has found homes in new safety critical areas, HRA methods developed predominantly for nuclear power applications are being used in novel ways. The Petro-HRA method represents a significant adaptation of the SPAR-H method for petroleum applications. Current guidance on Petro-HRA considers only prospective applications of the method, such as for review of new systems to be installed at offshore installations. In this paper, we review retrospective applications of Petro-HRA and analyze the Macando Oil Well-Deepwater Horizon accident as a case study.

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