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The Convergence of IoT and Energy System: Advancing Environmental Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 10 June 2026 | Viewed by 841

Special Issue Editors


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Guest Editor
PRISMA Electronics, 17564 Paleo Faliro, Greece
Interests: industrial IoT; ship digitalization; digital twins; sustainable vessel operations; AI/ML applications

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Guest Editor
PRISMA Electronics, 17564 Paleo Faliro, Greece
Interests: pattern recognition; vibration analysis; sound processing; hardware design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The convergence of the Internet of Things (IoT) and energy systems is paving the way for innovative solutions to address environmental sustainability challenges. IoT technologies enable seamless connectivity and real-time monitoring across energy systems, facilitating more efficient energy production, distribution, and consumption. Integrating IoT with renewable energy sources, smart grids, and energy storage systems can optimize resource utilization, reduce waste, and minimize carbon footprints.

This transformation is particularly significant in tackling global challenges like climate change and energy scarcity. IoT-driven energy systems empower predictive maintenance, adaptive demand response, and dynamic load balancing, fostering resilience and reliability in energy networks. At the same time, advances in sensor technology, edge computing, and artificial intelligence enhance the precision and scalability of these systems.

However, achieving widespread adoption and impact remains challenging due to data security, interoperability, energy efficiency of IoT devices, and the need for standardized architectures. Addressing social, financial, and policy barriers is critical for integrating IoT into energy systems.

The Special Issue on "The Convergence of IoT and Energy System: Advancing Environmental Sustainability" invites cutting-edge research contributions exploring IoT applications in energy systems, including:

  • Smart grids and renewable energy integration;
  • Energy-efficient IoT devices and networks;
  • Predictive analytics and AI for energy optimization;
  • Decentralized energy systems and blockchain solutions;
  • Cybersecurity and data management in IoT energy networks;
  • Socioeconomic and policy implications of IoT-enabled energy systems.

Dr. Christos Spandonidis
Dr. Fotis Giannopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things (IoT)
  • smart energy systems
  • renewable energy integration
  • smart grids
  • energy efficiency
  • predictive analytics in energy
  • decentralized energy systems
  • IoT-enabled sustainability
  • cybersecurity in energy networks
  • blockchain for energy management

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Published Papers (1 paper)

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Research

24 pages, 4050 KB  
Article
Maritime Operational Intelligence: AR-IoT Synergies for Energy Efficiency and Emissions Control
by Christos Spandonidis, Zafiris Tzioridis, Areti Petsa and Nikolaos Charanas
Sustainability 2025, 17(17), 7982; https://doi.org/10.3390/su17177982 - 4 Sep 2025
Viewed by 603
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 [...] Read more.
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). Full article
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