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

Christos Spandonidis (), Zafiris Tzioridis, Areti Petsa and Nikolaos Charanas
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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

Sustainability, 2025, vol. 17, issue 17, 1-24

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).

Keywords: augmented reality (AR); Internet of Things (IoT); maritime sustainability; energy optimization; predictive maintenance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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