A comparison of the quantification aspects of human reliability analysis methods in nuclear power plants. (November 2019)
- Record Type:
- Journal Article
- Title:
- A comparison of the quantification aspects of human reliability analysis methods in nuclear power plants. (November 2019)
- Main Title:
- A comparison of the quantification aspects of human reliability analysis methods in nuclear power plants
- Authors:
- Park, Jooyoung
Arigi, Awwal Mohammed
Kim, Jonghyun - Abstract:
- Highlights: This study compared quantification aspects of HRA methods. Four typically-used HRA methods were considered. Seven post-initiators representing OPR1000 type of NPPs in Korea were considered. Eight findings are identified. Abstract: Human reliability analysis (HRA) is a method for evaluating human errors and providing human error probabilities (HEPs) for application in probabilistic safety assessment (PSA). Up to date, there has not been a universally accepted HRA method for estimating HEPs, because such acceptance still has several challenges, including 1) data scarcity for predicting HEPs, 2) limited representation of cognitive aspects of human performance, and 3) significant differences in HRA results from different analysts, even when applying the same method. Some comparison studies were conducted to study differences among the HRA methods, or to select the most suitable method for application in the corresponding fields. However, these studies have several weak points in understanding differences among HRA methods. This study compared quantification aspects of HRA methods. Four typically-used HRA methods were considered. Seven post-initiators having representative conditions for the OPR1000 type of nuclear power plants (NPPs) were analyzed. Then, an investigation verified quantification differences among the HRA methods. As a result, eight findings are described. The result of this study could help HRA practitioners like NPP utilities or regulatory agenciesHighlights: This study compared quantification aspects of HRA methods. Four typically-used HRA methods were considered. Seven post-initiators representing OPR1000 type of NPPs in Korea were considered. Eight findings are identified. Abstract: Human reliability analysis (HRA) is a method for evaluating human errors and providing human error probabilities (HEPs) for application in probabilistic safety assessment (PSA). Up to date, there has not been a universally accepted HRA method for estimating HEPs, because such acceptance still has several challenges, including 1) data scarcity for predicting HEPs, 2) limited representation of cognitive aspects of human performance, and 3) significant differences in HRA results from different analysts, even when applying the same method. Some comparison studies were conducted to study differences among the HRA methods, or to select the most suitable method for application in the corresponding fields. However, these studies have several weak points in understanding differences among HRA methods. This study compared quantification aspects of HRA methods. Four typically-used HRA methods were considered. Seven post-initiators having representative conditions for the OPR1000 type of nuclear power plants (NPPs) were analyzed. Then, an investigation verified quantification differences among the HRA methods. As a result, eight findings are described. The result of this study could help HRA practitioners like NPP utilities or regulatory agencies to 1) aid in the selection of the proper method for its intended use or application, 2) estimate ranges of HEPs when using these HRA methods and 3) use this result as a reference of HEPs. … (more)
- Is Part Of:
- Annals of nuclear energy. Volume 133(2019)
- Journal:
- Annals of nuclear energy
- Issue:
- Volume 133(2019)
- Issue Display:
- Volume 133, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 133
- Issue:
- 2019
- Issue Sort Value:
- 2019-0133-2019-0000
- Page Start:
- 297
- Page End:
- 312
- Publication Date:
- 2019-11
- Subjects:
- Human error probability -- Human reliability analysis -- Nuclear power plant
Nuclear energy -- Periodicals
Nuclear engineering -- Periodicals
621.4805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064549 ↗
http://catalog.hathitrust.org/api/volumes/oclc/2243298.html ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.anucene.2019.05.031 ↗
- Languages:
- English
- ISSNs:
- 0306-4549
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1043.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11375.xml