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Lee, Seung Jun
Risk Assessment and Risk-Informed Application
Research Interests
  • Probabilistic Safety Assessment, Digital I&C System Reliability, Human Reliability Analysis

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Concept of an Intelligent Operator Support System for Initial Emergency Responses in Nuclear Power Plants

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Title
Concept of an Intelligent Operator Support System for Initial Emergency Responses in Nuclear Power Plants
Author
Kang, Jung SungLee, Seung Jun
Issue Date
2022-07
Publisher
한국원자력학회
Citation
NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.7, pp.2453 - 2466
Abstract
Nuclear power plant operators in the main control room are exposed to stressful conditions in emergency situations as immediate and appropriate mitigations are required. While emergency operating procedures (EOPs) provide operators with the appropriate tasks and diagnostic guidelines, EOPs have static properties that make it difficult to reflect the dynamic changes of the plant. Due to this static nature, operator workloads increase because unrelated information must be screened out and numerous displays must be checked to obtain the plant status. Generally, excessive workloads should be reduced because they can lead to human errors that may adversely affect nuclear power plant safety. This paper presents a framework for an operator support system that can substitute the initial responses of the EOPs, or in other words the immediate actions and diagnostic procedures, in the early stages of an emergency. The system assists operators in emergency operations as follows: performing the monitoring tasks in parallel, identifying current risk and latent risk causality, diagnosing the accident, and displaying all information intuitively with a master logic diagram. The risk causalities are analyzed with a functional modeling methodology called multilevel flow modeling. This system is expected to reduce workloads and the time for performing initial emergency response procedures.
URI
https://scholarworks.unist.ac.kr/handle/201301/57252
DOI
10.1016/j.net.2022.02.010
ISSN
1738-5733
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NUE_Journal Papers
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