IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p7982-d1742471.html

Maritime Operational Intelligence: AR-IoT Synergies for Energy Efficiency and Emissions Control

Author

Listed:
  • Christos Spandonidis

    (Prisma Electronics, Research and Development Department, P.C. 15764 Palaio Faliro, Greece)

  • Zafiris Tzioridis

    (Prisma Electronics, Research and Development Department, P.C. 15764 Palaio Faliro, Greece)

  • Areti Petsa

    (Prisma Electronics, Research and Development Department, P.C. 15764 Palaio Faliro, Greece)

  • Nikolaos Charanas

    (Prisma Electronics, Research and Development Department, P.C. 15764 Palaio Faliro, Greece)

Abstract

In response to mounting regulatory and environmental pressures, the maritime sector must urgently improve energy efficiency and reduce greenhouse gas emissions. However, conventional operational interfaces often fail to deliver real-time, actionable insights needed for informed decision-making onboard. This work presents an innovative Augmented Reality (AR) interface integrated with an established shipboard data collection system to enhance real-time monitoring and operational decision-making on commercial vessels. The baseline data acquisition infrastructure is currently installed on over 800 vessels across various ship types, providing a robust foundation for this development. To validate the AR interface’s feasibility and performance, a field trial was conducted on a representative dry bulk carrier. Through hands-free AR smart glasses, crew members access real-time overlays of key performance indicators, such as fuel consumption, engine status, emissions levels, and energy load balancing, directly within their field of view. Field evaluations and scenario-based workshops demonstrate significant gains in energy efficiency (up to 28% faster decision-making), predictive maintenance accuracy, and emissions awareness. The system addresses human–machine interaction challenges in high-pressure maritime settings, bridging the gap between complex sensor data and crew responsiveness. By contextualizing IoT data within the physical environment, the AR-IoT platform transforms traditional workflows into proactive, data-driven practices. This study contributes to the emerging paradigm of digitally enabled sustainable operations and offers practical insights for scaling AR-IoT solutions across global fleets. Findings suggest that such convergence of AR and IoT not only enhances vessel performance but also accelerates compliance with decarbonization targets set by the International Maritime Organization (IMO).

Suggested Citation

  • Christos Spandonidis & Zafiris Tzioridis & Areti Petsa & Nikolaos Charanas, 2025. "Maritime Operational Intelligence: AR-IoT Synergies for Energy Efficiency and Emissions Control," Sustainability, MDPI, vol. 17(17), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7982-:d:1742471
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/7982/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/7982/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohan Anantharaman & Abdullah Sardar & Rabiul Islam, 2025. "Decarbonization of Shipping and Progressing Towards Reducing Greenhouse Gas Emissions to Net Zero: A Bibliometric Analysis," Sustainability, MDPI, vol. 17(7), pages 1-24, March.
    2. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Su, Zhenqing & Park, Keun-sik & Liu, Ziyang & Su, Miao, 2025. "Key factors for non-polar use of the Northern Sea Route: A Korean point of view," Journal of Transport Geography, Elsevier, vol. 124(C).
    Full references (including those not matched with items on IDEAS)

    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. Mendez-Picazo, María-Teresa & Galindo-Martin, Miguel-Angel & Perez-Pujol, Rafael-Sergio, 2024. "Direct and indirect effects of digital transformation on sustainable development in pre- and post-pandemic periods," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Aleksandra Bartosiewicz & Adam Kucharski, 2024. "Indicators of port sustainability: The example of Baltic Sea container ports," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2371-2384, June.
    3. Marija Jović & Edvard Tijan & Doroteja Vidmar & Andreja Pucihar, 2022. "Factors of Digital Transformation in the Maritime Transport Sector," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    4. Jianying Xiao & Lixin Han & Hui Zhang, 2022. "Exploring Driving Factors of Digital Transformation among Local Governments: Foundations for Smart City Construction in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    5. Costa Climent, Ricardo & Haftor, Darek M., 2021. "Business model theory-based prediction of digital technology use: An empirical assessment," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Yuyan Luo & Ziqi Pan & Yue Wang & Nan Jiang, 2026. "Text measurement analysis of green and low-carbon industrial policies through machine learning: insights from the Chengdu–Chongqing economic circle," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-20, December.
    7. Merín-Rodrigáñez, Joan & Dasí, Àngels & Alegre, Joaquín & Hughes, Mathew, 2025. "Dynamic managerial capabilities for digital transformation in innovative SMEs: What are the effects on new product development performance?," Journal of Business Research, Elsevier, vol. 201(C).
    8. Namgung, Hyewon & Fujiwara, Akimasa & Yamamoto, Jenny & Zhang, Junyi, 2023. "Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects," Research in Transportation Economics, Elsevier, vol. 101(C).
    9. Benjamin Mosses Sakita & Berit Irene Helgheim & Svein Bråthen, 2024. "The Principal-Agent Theoretical Ramifications on Digital Transformation of Ports in Emerging Economies," Logistics, MDPI, vol. 8(2), pages 1-39, May.
    10. Yang, Xun & Tsoulakos, Nikolaos & Xiao, Zhe & Wei, Xiaoyang & Fu, Xiuju & Yan, Ran, 2025. "Estimation of shipping emissions from maritime big data: A comprehensive review and prospective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
    11. Fernandez-Vidal, Jorge & Gonzalez, Reyes & Gasco, Jose & Llopis, Juan, 2022. "Digitalization and corporate transformation: The case of European oil & gas firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Nicoletta González-Cancelas & Javier Vaca-Cabrero & Alberto Camarero-Orive, 2025. "Key Factors for the Implementation of the Metaverse in Spanish Ports: An Evaluation Based on a Prioritization Matrix," Sustainability, MDPI, vol. 17(5), pages 1-19, March.
    13. Zhang, Haowei & Lv, Yang & Zhang, Justin Z. & Fadil, Paul, 2026. "Digital government development, corporate digital transformation, and carbon performance: Insights from listed companies in China," Technological Forecasting and Social Change, Elsevier, vol. 223(C).
    14. Merín-Rodrigáñez, Joan & Dasí, Àngels & Alegre, Joaquín, 2024. "Digital transformation and firm performance in innovative SMEs: The mediating role of business model innovation," Technovation, Elsevier, vol. 134(C).
    15. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    16. Seyedeh Azadeh Alavi-Borazjani & Alberto Antonio Bengue & Valentina Chkoniya & Muhammad Noman Shafique, 2025. "An Overview of Critical Success Factors for Digital Shipping Corridors: A Roadmap for Maritime Logistics Modernization," Sustainability, MDPI, vol. 17(12), pages 1-34, June.
    17. Peng, Peng & Xie, Xiaowei & Claramunt, Christophe & Lu, Feng & Gong, Fuzhong & Yan, Ran, 2025. "Bibliometric analysis of maritime cybersecurity: Research status, focus, and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    18. Thanh-Nhat-Lai Nguyen & Son-Tung Le, 2025. "Factors Leading to the Digital Transformation Dead Zone in Shipping SMEs: A Dynamic Capability Theory Perspective," Sustainability, MDPI, vol. 17(12), pages 1-32, June.
    19. Francesca Culasso & Elisa Giacosa & Daniele Giordino & Edoardo Crocco, 2022. "Digital transformation: Is Covid-19 a catalyst for micro and small enterprises first steps toward innovation?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 71-94.
    20. Chen, Wenshin & Filieri, Raffaele, 2024. "Institutional forces, leapfrogging effects, and innovation status: Evidence from the adoption of a continuously evolving technology in small organizations," Technological Forecasting and Social Change, Elsevier, vol. 206(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:17:y:2025:i:17:p:7982-:d:1742471. 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.