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A review of the digital twin technology application in energy industry for performance improvement.

The paper investigated the use of digital twin (DT) technologies in the energy industry. It analyzed the available digital twin technology used in the energy industry using the Strength, Weakness, Opportunity, Threat (SWOT) analysis method. The DT serves as the real-time presentation of the actual p...

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Main Authors: Ahmad Shatiry, M. Sahir, Harun, Firdaus, Husni, Zul Hazran, Sarip, Shamsul, Abd. Fatah, Abdul Yasser
Format: Conference or Workshop Item
Published: 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/107472/
http://dx.doi.org/10.1063/5.0164444
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spelling my.utm.1074722024-09-18T06:36:27Z http://eprints.utm.my/107472/ A review of the digital twin technology application in energy industry for performance improvement. Ahmad Shatiry, M. Sahir Harun, Firdaus Husni, Zul Hazran Sarip, Shamsul Abd. Fatah, Abdul Yasser TA Engineering (General). Civil engineering (General) The paper investigated the use of digital twin (DT) technologies in the energy industry. It analyzed the available digital twin technology used in the energy industry using the Strength, Weakness, Opportunity, Threat (SWOT) analysis method. The DT serves as the real-time presentation of the actual process or physical object with the Internet of Things (IoT). Typically, fabrication work productivity depends on the process flow and the human behaviors that contribute to delay or non-productive time (NPT) - digital technology to learn the overall process, human behavior, and machinery uptime. Visual learning was established to monitor the operation activity as well as the construction work and to capture the general behaviors of the human such as welding, resting, taking a break or even non-productive work such as break outside break hour, smoking, wrong sequence of the working process and other external interruptions. This study will explore all the available DT technology in the market and its function and capabilities and then identify five (5) DT technology applications that can improve performance in the energy industry. After that, to determine and summarize the strength, weakness, opportunity, and threat of all five (5) applications of DT technologies already used in the energy industry using SWOT methodology. The SWOT analysis found that the benefit in terms of Strength and Opportunity is more significant than the threat and weakness of the Digital Twin technology. Then, it is clearly indicated that the DT technology can utilize in many other areas of business in objective to understanding the overall system efficiency and capable of providing information for accurate and precise decision making for the company. 2023-09-12 Conference or Workshop Item PeerReviewed Ahmad Shatiry, M. Sahir and Harun, Firdaus and Husni, Zul Hazran and Sarip, Shamsul and Abd. Fatah, Abdul Yasser (2023) A review of the digital twin technology application in energy industry for performance improvement. In: 11th International Conference on Applied Science and Technology 2022, ICAST 2022, 13 June 2022 - 14 June 2022, Putrajaya, Malaysia - Hybrid. http://dx.doi.org/10.1063/5.0164444
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ahmad Shatiry, M. Sahir
Harun, Firdaus
Husni, Zul Hazran
Sarip, Shamsul
Abd. Fatah, Abdul Yasser
A review of the digital twin technology application in energy industry for performance improvement.
description The paper investigated the use of digital twin (DT) technologies in the energy industry. It analyzed the available digital twin technology used in the energy industry using the Strength, Weakness, Opportunity, Threat (SWOT) analysis method. The DT serves as the real-time presentation of the actual process or physical object with the Internet of Things (IoT). Typically, fabrication work productivity depends on the process flow and the human behaviors that contribute to delay or non-productive time (NPT) - digital technology to learn the overall process, human behavior, and machinery uptime. Visual learning was established to monitor the operation activity as well as the construction work and to capture the general behaviors of the human such as welding, resting, taking a break or even non-productive work such as break outside break hour, smoking, wrong sequence of the working process and other external interruptions. This study will explore all the available DT technology in the market and its function and capabilities and then identify five (5) DT technology applications that can improve performance in the energy industry. After that, to determine and summarize the strength, weakness, opportunity, and threat of all five (5) applications of DT technologies already used in the energy industry using SWOT methodology. The SWOT analysis found that the benefit in terms of Strength and Opportunity is more significant than the threat and weakness of the Digital Twin technology. Then, it is clearly indicated that the DT technology can utilize in many other areas of business in objective to understanding the overall system efficiency and capable of providing information for accurate and precise decision making for the company.
format Conference or Workshop Item
author Ahmad Shatiry, M. Sahir
Harun, Firdaus
Husni, Zul Hazran
Sarip, Shamsul
Abd. Fatah, Abdul Yasser
author_facet Ahmad Shatiry, M. Sahir
Harun, Firdaus
Husni, Zul Hazran
Sarip, Shamsul
Abd. Fatah, Abdul Yasser
author_sort Ahmad Shatiry, M. Sahir
title A review of the digital twin technology application in energy industry for performance improvement.
title_short A review of the digital twin technology application in energy industry for performance improvement.
title_full A review of the digital twin technology application in energy industry for performance improvement.
title_fullStr A review of the digital twin technology application in energy industry for performance improvement.
title_full_unstemmed A review of the digital twin technology application in energy industry for performance improvement.
title_sort review of the digital twin technology application in energy industry for performance improvement.
publishDate 2023
url http://eprints.utm.my/107472/
http://dx.doi.org/10.1063/5.0164444
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score 13.211869

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