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Industrial IoT-based submetering solution for real-time energy monitoring

  • Hussam J. Khasawneh
  • , Raghad Al Asbahi
  • , Abdelrahman W. Alzariqi
  • , Danah R. Al Qada
  • , Ayman Bujuk
  • , Muhammad A. Nawfal
  • , Maria Tareen
    • University of Jordan
    • Al-Hussein Technical University
    • SAM Engineering
    • RAM Pharmaceuticals

    Research output: Contribution to journal › Article › peer-review

    39 Downloads (Pure)

    Abstract

    The Sustainable Monitoring & Advanced Real-Time Energy Efficiency (SMARTEE) project addresses the critical challenge of optimizing energy management in pharmaceutical manufacturing through an Industrial Internet of Things (IIoT)-based submetering solution. This study presents the design and deployment of a tailored IoT system, integrating IoT-enabled submeters, a Mini-PC gateway, and cloud-based analytics for continuous, real-time energy consumption monitoring across critical equipment such as chillers, boilers, and HVAC systems. Following a systematic methodology, the project implemented advanced data acquisition and communication protocols, including Modbus over RS485, Node-RED for data processing, and MQTT for transmitting energy metrics to a cloud-based visualization platform. Results demonstrated the system’s efficacy in delivering actionable insights into energy patterns, significantly improving operational efficiency and waste reduction. The IoT-based solution is highly scalable, adaptable to various industrial contexts, and provides a secure platform for real-time monitoring. This work highlights the potential of IoT in transforming industrial energy management, with future research focusing on AI-driven predictive analytics and seamless integration with renewable energy systems to enhance sustainability and resilience further.
    Original languageEnglish
    Article number15
    JournalDiscover Internet of Things
    Volume5
    Issue number1
    Early online date22 Feb 2025
    DOIs
    Publication statusPublished - Dec 2025

    Bibliographical note

    Publisher Copyright:
    © The Author(s) 2025.

    Funding

    The authors would like to express their gratitude to the Royal Academy of Engineering (RAEng) for funding this project through the Transforming Systems through Partnership (TSP) scheme under grant number TSP-2324-6\\192. The authors also acknowledge the support of the Industrial Research and Development Fund (IRDF) affiliated with the Higher Council for Science and Technology (HCST) in Jordan for their role in supervising the project and acting as a liaison with RAEng. Additionally, the authors appreciate all consortium members\u2019 administrative and financial support, including Al Hussein Technical University (HTU), Coventry University (CU), RAM Pharmaceuticals, and SAM Engineering. This research was funded by the Royal Academy of Engineering (RAEng) under the Transforming Systems through Partnership (TSP) scheme, grant number TSP-2324-6\\192.

    FundersFunder number
    Al-Hussein Technical University
    Coventry University
    Royal Academy of Engineering, TheTSP-2324-6\192

      UN SDGs

      This output contributes to the following UN Sustainable Development Goals (SDGs)

      1. SDG 7 - Affordable and Clean Energy
        SDG 7 Affordable and Clean Energy

      Keywords

      • Industrial Internet of Things (IIoT)
      • Energy management
      • Real-time monitoring
      • Smart energy systems
      • IoT-enabled submeters

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