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A Tool for Performing Link Analysis, Operational Sequence Analysis, and Workload Analysis to Support Nuclear Power Plant Control Room Modernization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nuclear power continues to have an imperative role for the U.S.’s electricity generation. However, for these nuclear power plants (NPPs) to remain economically viable, new strategies for reducing operations and maintenance costs must be explored. The U.S. Department of Energy Light Water Reactor Sustainability Program is researching how to digitally transform existing analog and hybrid main control rooms into a fully integrated control room that addresses this challenge. The transformation will fundamentally change the conduct of operations for these U.S. NPPs. Human factors engineering has a vital role in this effort, where traditional task analysis methods are important in informing the design of advanced human-system interface displays. This work describes a preliminary tool to support task analysis for the development of these advanced displays. Details on the use of this tool, including the specific task analysis methods offered, are presented in this paper.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer
Pages597-604
Number of pages8
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: Jul 16 2020Jul 20 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period07/16/2007/20/20

Keywords

  • Human factors engineering
  • Nuclear power plant modernization
  • Task analysis

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