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Title: Human System Simulation in Support of Human Performance Technical Basis at NPPs

Abstract

This paper focuses on strategies and progress toward establishing the Idaho National Laboratory’s (INL’s) Human Systems Simulator Laboratory at the Center for Advanced Energy Studies (CAES), a consortium of Idaho State Universities. The INL is one of the National Laboratories of the US Department of Energy. One of the first planned applications for the Human Systems Simulator Laboratory is implementation of a dynamic nuclear power plant simulation (NPP) where studies of operator workload, situation awareness, performance and preference will be carried out in simulated control rooms including nuclear power plant control rooms. Simulation offers a means by which to review operational concepts, improve design practices and provide a technical basis for licensing decisions. In preparation for the next generation power plant and current government and industry efforts in support of light water reactor sustainability, human operators will be attached to a suite of physiological measurement instruments and, in combination with traditional Human Factors Measurement techniques, carry out control room tasks in simulated advanced digital and hybrid analog/digital control rooms. The current focus of the Human Systems Simulator Laboratory is building core competence in quantitative and qualitative measurements of situation awareness and workload. Of particular interest is whether introduction of digitalmore » systems including automated procedures has the potential to reduce workload and enhance safety while improving situation awareness or whether workload is merely shifted and situation awareness is modified in yet to be determined ways. Data analysis is carried out by engineers and scientists and includes measures of the physical and neurological correlates of human performance. The current approach supports a user-centered design philosophy (see ISO 13407 “Human Centered Design Process for Interactive Systems, 1999) wherein the context for task performance along with the requirements of the end-user are taken into account during the design process and the validity of design is determined through testing of real end users« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
USDOE
OSTI Identifier:
993185
Report Number(s):
INL/CON-10-17875
TRN: US1007986
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: PSAM 10 Probabilistic Safety Assessment and Management,Seattle Washington,06/07/2010,06/11/2010
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; CONTROL ROOMS; DATA ANALYSIS; DESIGN; DIGITAL SYSTEMS; ENGINEERS; HUMAN FACTORS; IMPLEMENTATION; LICENSING; MANAGEMENT; NUCLEAR POWER PLANTS; PERFORMANCE; POWER PLANTS; PROBABILISTIC ESTIMATION; RISK ASSESSMENT; SAFETY; SIMULATION; SIMULATORS; TESTING; WATER; human in the loop; nuclear power plant; simulation; situation awareness; workload

Citation Formats

David Gertman, Katya Le Blanc, alan mecham, william phoenix, Magdy Tawfik, and Jeffrey Joe. Human System Simulation in Support of Human Performance Technical Basis at NPPs. United States: N. p., 2010. Web.
David Gertman, Katya Le Blanc, alan mecham, william phoenix, Magdy Tawfik, & Jeffrey Joe. Human System Simulation in Support of Human Performance Technical Basis at NPPs. United States.
David Gertman, Katya Le Blanc, alan mecham, william phoenix, Magdy Tawfik, and Jeffrey Joe. Tue . "Human System Simulation in Support of Human Performance Technical Basis at NPPs". United States. https://www.osti.gov/servlets/purl/993185.
@article{osti_993185,
title = {Human System Simulation in Support of Human Performance Technical Basis at NPPs},
author = {David Gertman and Katya Le Blanc and alan mecham and william phoenix and Magdy Tawfik and Jeffrey Joe},
abstractNote = {This paper focuses on strategies and progress toward establishing the Idaho National Laboratory’s (INL’s) Human Systems Simulator Laboratory at the Center for Advanced Energy Studies (CAES), a consortium of Idaho State Universities. The INL is one of the National Laboratories of the US Department of Energy. One of the first planned applications for the Human Systems Simulator Laboratory is implementation of a dynamic nuclear power plant simulation (NPP) where studies of operator workload, situation awareness, performance and preference will be carried out in simulated control rooms including nuclear power plant control rooms. Simulation offers a means by which to review operational concepts, improve design practices and provide a technical basis for licensing decisions. In preparation for the next generation power plant and current government and industry efforts in support of light water reactor sustainability, human operators will be attached to a suite of physiological measurement instruments and, in combination with traditional Human Factors Measurement techniques, carry out control room tasks in simulated advanced digital and hybrid analog/digital control rooms. The current focus of the Human Systems Simulator Laboratory is building core competence in quantitative and qualitative measurements of situation awareness and workload. Of particular interest is whether introduction of digital systems including automated procedures has the potential to reduce workload and enhance safety while improving situation awareness or whether workload is merely shifted and situation awareness is modified in yet to be determined ways. Data analysis is carried out by engineers and scientists and includes measures of the physical and neurological correlates of human performance. The current approach supports a user-centered design philosophy (see ISO 13407 “Human Centered Design Process for Interactive Systems, 1999) wherein the context for task performance along with the requirements of the end-user are taken into account during the design process and the validity of design is determined through testing of real end users},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {6}
}

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