IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i9p3922-d1140519.html
   My bibliography  Save this article

Exploring Digital Twins in the Transport and Energy Fields: A Bibliometrics and Literature Review Approach

Author

Listed:
  • Milena Kajba

    (Faculty of Logistics, University of Maribor, 3000 Celje, Slovenia)

  • Borut Jereb

    (Faculty of Logistics, University of Maribor, 3000 Celje, Slovenia)

  • Tina Cvahte Ojsteršek

    (Faculty of Logistics, University of Maribor, 3000 Celje, Slovenia)

Abstract

Logistics and transport are major sources of energy consumption that still rely heavily on fossil fuels. Especially in the freight sector, finding means to optimise fuel consumption and energy efficiency are increasingly important. Digital twins’ adaptation in logistics and transport is not as frequent as in production, but their implementation potential is immense. This technology can replicate real environments, allowing verification of various scenarios without real-life application, leading to optimal implementation outcome faster and more efficiently. This paper aims to research digital twins’ use in logistics and transport, focusing on digital twins’ potential and effects to optimise energy consumption. Firstly, previous research on digital twins in specified fields was identified, followed by a quantitative literature review. The latter focused on codifying the selected publications based on criteria such as modality, specific environment, energy consumption, etc. Furthermore, a qualitative overview of 57 relevant publications on digital twins’ use in logistics and transport was made. The main contribution of this paper is the systematic overview of digital twins from the viewpoint of energy optimisation in one of the most energy-dependent sectors. This gives researchers a good starting point for further research and digital twins’ practical implementation cases.

Suggested Citation

  • Milena Kajba & Borut Jereb & Tina Cvahte Ojsteršek, 2023. "Exploring Digital Twins in the Transport and Energy Fields: A Bibliometrics and Literature Review Approach," Energies, MDPI, vol. 16(9), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3922-:d:1140519
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/9/3922/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/9/3922/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    2. Ehab Shahat & Chang T. Hyun & Chunho Yeom, 2021. "City Digital Twin Potentials: A Review and Research Agenda," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    3. Monika Kosacka-Olejnik & Mariusz Kostrzewski & Magdalena Marczewska & Bogna Mrówczyńska & Paweł Pawlewski, 2021. "How Digital Twin Concept Supports Internal Transport Systems?—Literature Review," Energies, MDPI, vol. 14(16), pages 1-37, August.
    4. Mo ElSayed & Moataz Mohamed, 2022. "The Impact of Airspace Discretization on the Energy Consumption of Autonomous Unmanned Aerial Vehicles (Drones)," Energies, MDPI, vol. 15(14), pages 1-23, July.
    5. A. R. Al-Ali & Ragini Gupta & Tasneem Zaman Batool & Taha Landolsi & Fadi Aloul & Ahmad Al Nabulsi, 2020. "Digital Twin Conceptual Model within the Context of Internet of Things," Future Internet, MDPI, vol. 12(10), pages 1-15, September.
    6. Fei Tao & Qinglin Qi, 2019. "Make more digital twins," Nature, Nature, vol. 573(7775), pages 490-491, September.
    7. Paulina Golinska-Dawson & Kanchana Sethanan, 2023. "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review," Energies, MDPI, vol. 16(6), pages 1-28, March.
    8. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    9. Martin Hammerschmid & Johannes Konrad & Andreas Werner & Tom Popov & Stefan Müller, 2022. "ENECO 2 Calc—A Modeling Tool for the Investigation of Energy Transition Paths toward Climate Neutrality within Municipalities," Energies, MDPI, vol. 15(19), pages 1-32, September.
    10. Yasser Omar Abdallah & Essam Shehab & Ahmed Al-Ashaab, 2022. "Developing a digital transformation process in the manufacturing sector: Egyptian case study," Information Systems and e-Business Management, Springer, vol. 20(3), pages 613-630, September.
    11. Matthew Callcut & Jean-Paul Cerceau Agliozzo & Liz Varga & Lauren McMillan, 2021. "Digital Twins in Civil Infrastructure Systems," Sustainability, MDPI, vol. 13(20), pages 1-32, October.
    12. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Enna Hirata & Daisuke Watanabe & Athanasios Chalmoukis & Maria Lambrou, 2024. "A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
    2. Sung, Kiseo & Park, Kyu-Tae & Lee, Hakyeon, 2024. "Landscaping the digital twin technology: Patent-based networks and technology reference model," Technological Forecasting and Social Change, Elsevier, vol. 206(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hossein Omrany & Karam M. Al-Obaidi & Amreen Husain & Amirhosein Ghaffarianhoseini, 2023. "Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    2. Dianyou Yu & Zheng He, 2022. "Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 1-36, May.
    3. Casey R. Corrado & Suzanne M. DeLong & Emily G. Holt & Edward Y. Hua & Andreas Tolk, 2022. "Combining Green Metrics and Digital Twins for Sustainability Planning and Governance of Smart Buildings and Cities," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    4. Jieyin Lyu & Shouqin Zhou & Jingang Liu & Bingchun Jiang, 2023. "Intelligent-Technology-Empowered Active Emergency Command Strategy for Urban Hazardous Chemical Disaster Management," Sustainability, MDPI, vol. 15(19), pages 1-28, September.
    5. do Amaral, J.V.S. & dos Santos, C.H. & Montevechi, J.A.B. & de Queiroz, A.R., 2023. "Energy Digital Twin applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. João Vieira & João Poças Martins & Nuno Marques de Almeida & Hugo Patrício & João Gomes Morgado, 2022. "Towards Resilient and Sustainable Rail and Road Networks: A Systematic Literature Review on Digital Twins," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    7. Jian-Guo Duan & Tian-Yu Ma & Qing-Lei Zhang & Zhen Liu & Ji-Yun Qin, 2023. "Design and application of digital twin system for the blade-rotor test rig," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 753-769, February.
    8. Bartosz Sawik, 2024. "Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping," Logistics, MDPI, vol. 8(2), pages 1-29, May.
    9. Claire Daniel & Christopher Pettit, 2022. "Charting the past and possible futures of planning support systems: Results of a citation network analysis," Environment and Planning B, , vol. 49(7), pages 1875-1892, September.
    10. Amine Mohamed El Amrani & Mouhsene Fri & Othmane Benmoussa & Naoufal Rouky, 2024. "The Integration of Urban Freight in Public Transportation: A Systematic Literature Review," Sustainability, MDPI, vol. 16(13), pages 1-31, June.
    11. Xinzhou Wu & Zhe Cheng & Victor E. Kuzmichev, 2023. "Dynamic Fit Optimization and Effect Evaluation of a Female Wetsuit Based on Virtual Technology," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    12. Yadi Zhao & Lei Yan & Jian Wu & Ximing Song, 2023. "Design and Implementation of a Digital Twin System for Log Rotary Cutting Optimization," Future Internet, MDPI, vol. 16(1), pages 1-14, December.
    13. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    14. Cabello-López, Tomás & Carranza-García, Manuel & Riquelme, José C. & García-Gutiérrez, Jorge, 2023. "Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level," Applied Energy, Elsevier, vol. 350(C).
    15. Zio, Enrico & Miqueles, Leonardo, 2024. "Digital twins in safety analysis, risk assessment and emergency management," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    16. Vittorio Astarita & Giuseppe Guido & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas, 2024. "Risk Reduction in Transportation Systems: The Role of Digital Twins According to a Bibliometric-Based Literature Review," Sustainability, MDPI, vol. 16(8), pages 1-26, April.
    17. Hongjun Li & Yu Yang & Chi Zhang & Chengjun Zhang & Wei Chen, 2023. "Visualization Monitoring of Industrial Detonator Automatic Assembly Line Based on Digital Twin," Sustainability, MDPI, vol. 15(9), pages 1-16, May.
    18. Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
    19. Feng, Hailin & Lv, Haibin & Lv, Zhihan, 2023. "Resilience towarded Digital Twins to improve the adaptability of transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    20. Hao Wang & Quan Liu & Hongyang Zhang & Yinlong Jin & Wenzhen Yu, 2022. "A Two-Stage Decision-Making Method Based on WebGIS for Bulk Material Transportation of Hydropower Construction," Energies, MDPI, vol. 15(5), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3922-:d:1140519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.