Components of Intelligent Digital Twin Framework for Complex Nuclear Systems

Kazuma Kobayashi, James Daniell, Md Nazmus Sakib, Dinesh Kumar, Syed Alam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The utilization of digital twin (DT) technology in nuclear power applications is promising, but the research has only just begun. However, the definition of a”digital twin” is vague because it varies depending on the industry and vendors. Since the study is still just starting out in the nuclear energy system, this is an appropriate opportunity to define it well and share it. The study summarises possible uses and technical issues in nuclear applications according to the 4 levels of DT proposed by several software vendors. In addition, this study revealed that there are 4 tasks to realize DT: (1) system parameter updating method, (2) ML-Physics fusion modeling, (3) advanced surrogate modeling, and (4) development of advanced sensor and equipment.

Original languageEnglish (US)
Title of host publicationProceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023
PublisherAmerican Nuclear Society
Pages1737-1743
Number of pages7
ISBN (Electronic)9780894487910
DOIs
StatePublished - 2023
Externally publishedYes
Event13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 - Knoxville, United States
Duration: Jul 15 2023Jul 20 2023

Publication series

NameProceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023

Conference

Conference13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023
Country/TerritoryUnited States
CityKnoxville
Period7/15/237/20/23

Keywords

  • Digital Twin
  • Machine Learning
  • Nuclear Energy

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Control and Systems Engineering

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