PSAM 16 - Paper Overview

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Jooyoung Park Co-author(s): Ronald Boring, Ronald.Boring@inl.gov Thomas Ulrich, Thomas.Ulrich@inl.gov Jeeyea Ahn, Jeeyea.Ahn@inl.gov Yunyeong Heo, Yunyeong.Heo@inl.gov

The HUNTER Dynamic Human Reliability Analysis Tool: Development of a Module for Performance Shaping Factors
The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is a framework to support dynamic human reliability analysis (HRA) in communication with a variety of methods and tools. The HRA research team at Idaho National Laboratory has developed the HUNTER framework to meet industry HRA needs by the support of the Risk-Informed System Analysis (RISA) pathway of the U.S. Department of Energy’s Light Water Reactor Sustainability (LWRS) Program. The existing HUNTER (i.e., HUNTER 1.0) has conceptually proposed how the dynamic HRA could be performed using given information from thermal-hydraulics codes, cognitive models, HRA methods, and procedures, while the current HUNTER project (i.e., HUNTER 2.0) aims to systemically design the HUNTER modules and their functions, then develop a standalone HUNTER software to implement the dynamic HRA calculation. In this paper, how we have developed one of the HUNTER modules, the performance shaping factor (PSF) module, is introduced. The PSF refers to any factor that influences human performance such as workload or complexity. It has been used for highlighting human errors and adjusting the error probabilities in the existing HRA. In this paper, we mainly discuss how the PSF module supports the dynamic HRA calculation within the HUNTER software. We consider the eight PSFs suggested in the Standardized Plant Analysis Risk-HRA (SPAR-H) method, which is the representative HRA method widely used in the nuclear field. We also design the PSF module composed of the two functions: 1) the PSF qualification function that automatically or manually evaluates a PSF level, and 2) the PSF quantification function that dynamically or statically determines the PSF multiplier values and integrate them to adjust human error probabilities (HEPs). How each function works with the SPAR-H PSFs and how the PSFs adjust the HEPs and the time required for operators are investigated through literature.

The HUNTER Dynamic Human Reliability Analysis Tool: Development of a Module for Performance Shaping Factors

The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is a framework to support dynamic human reliability analysis (HRA) in communication with a variety of methods and tools. The HRA research team at Idaho National Laboratory has developed the HUNTER framework to meet industry HRA needs by the support of the Risk-Informed System Analysis (RISA) pathway of the U.S. Department of Energy’s Light Water Reactor Sustainability (LWRS) Program. The existing HUNTER (i.e., HUNTER 1.0) has conceptually proposed how the dynamic HRA could be performed using given information from thermal-hydraulics codes, cognitive models, HRA methods, and procedures, while the current HUNTER project (i.e., HUNTER 2.0) aims to systemically design the HUNTER modules and their functions, then develop a standalone HUNTER software to implement the dynamic HRA calculation. In this paper, how we have developed one of the HUNTER modules, the performance shaping factor (PSF) module, is introduced. The PSF refers to any factor that influences human performance such as workload or complexity. It has been used for highlighting human errors and adjusting the error probabilities in the existing HRA. In this paper, we mainly discuss how the PSF module supports the dynamic HRA calculation within the HUNTER software. We consider the eight PSFs suggested in the Standardized Plant Analysis Risk-HRA (SPAR-H) method, which is the representative HRA method widely used in the nuclear field. We also design the PSF module composed of the two functions: 1) the PSF qualification function that automatically or manually evaluates a PSF level, and 2) the PSF quantification function that dynamically or statically determines the PSF multiplier values and integrate them to adjust human error probabilities (HEPs). How each function works with the SPAR-H PSFs and how the PSFs adjust the HEPs and the time required for operators are investigated through literature.

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Author and Presentation Info

Lead Author Name: Jooyoung Park (jooyoung.park@inl.gov)

Bio:

Country: United States of America
Company: Idaho National Laboratory
Job Title: Scientist

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

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