Proposing Application Criteria for Modeling & Simulation and Digital Twin for Autonomous Systems Operation

A digital twin has intelligent modules that continuously monitor the condition of the individual components and the whole of a system.Digital twins can provide nuclear power plants (NPP) operators an unprecedented level of monitoring, control, supervision, and security by contributing a greater volume of data for more comprehensive data analysis and increased accuracy of insights and predictions for decision making throughout the entire NPP lifecycle.NPP operators and managers have historically relied on limited, second hand or incomplete data.With proper implementation, digital twins can provide a central hub of all intel that allows for a multidisciplinary view of an NPP.This equips operators and managers with the ability to have more information, context, and intel that can be used for greater granularity during planning and decision making.Digital twins can be used in many activities as the technology has many different concepts surrounding it.From the various definitions of a digital twin within the industry, digital twins can be differentiated by levels of integration/automation.The three main models include digital model, digital shadow, and digital twin.Digital twins offer many potential advancements to the nuclear industry that could reduce costs, improve designs, provide safer operation, and improve their overall security.

Authors

Publication Details

Journal
Journal of the KNST
Published
2025-06-30
DOI
https://doi.org/10.31818/jknst.2025.6.8.2.295
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Proposing Application Criteria for Modeling & Simulation and Digital Twin for Autonomous Systems Operation

Hyunseung Kim, Dongmin Jeong, Chul Hyun, Donggeon Kim
Journal of the KNST
Digital Transformation in Industry
article

Proposing Application Criteria for Modeling & Simulation and Digital Twin for Autonomous Systems Operation

Hyunseung Kim, Dongmin Jeong, Chul Hyun, Donggeon Kim
article en

Abstract

A digital twin has intelligent modules that continuously monitor the condition of the individual components and the whole of a system.Digital twins can provide nuclear power plants (NPP) operators an unprecedented level of monitoring, control, supervision, and security by contributing a greater volume of data for more comprehensive data analysis and increased accuracy of insights and predictions for decision making throughout the entire NPP lifecycle.NPP operators and managers have historically relied on limited, second hand or incomplete data.With proper implementation, digital twins can provide a central hub of all intel that allows for a multidisciplinary view of an NPP.This equips operators and managers with the ability to have more information, context, and intel that can be used for greater granularity during planning and decision making.Digital twins can be used in many activities as the technology has many different concepts surrounding it.From the various definitions of a digital twin within the industry, digital twins can be differentiated by levels of integration/automation.The three main models include digital model, digital shadow, and digital twin.Digital twins offer many potential advancements to the nuclear industry that could reduce costs, improve designs, provide safer operation, and improve their overall security.

Journal of the KNSTVol. 8(2)
U.S. Department of Energy, Office of Nuclear Energy, National Nuclear Security Administration, Sandia National Laboratories
Openalex Percentile: Top 76%
Digital Transformation in Industry
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Proposing Application Criteria for Modeling & Simulation and Digital Twin for Autonomous Systems Operation — Hyunseung Kim, Dongmin Jeong, et al. · Journal of the KNST (2025) | TGRS Research Map | TGRS