Industrial IoT-based submetering solution for real-time energy monitoring
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.
Authors
- Hussam J. Khasawneh (ORCID: https://orcid.org/0000-0001-5382-305X)
- Raghad Al Asbahi
- Abdelrahman W. Alzariqi
- Danah R. Al Qada
- Ayman Bujuk
- Muhammad A. Nawfal
- Maria Tareen
Institutions
- Al-Hussein Bin Talal University (JO)
- University of Jordan (JO)
- King Hussein Cancer Center (JO)
- Jordan Hospital (JO)
- King Hussein Medical Center (JO)
- TQ Pharma (Jordan) (JO)
- Coventry University (GB)
Publication Details
- Journal
- Discover Internet of Things
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1007/s43926-025-00110-y
- Citations
- 17
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 12.42
Funders
- Royal Academy of Engineering
- Coventry University
- Higher Council for Science and Technology