TY - JOUR
T1 - Industrial IoT-based submetering solution for real-time energy monitoring
AU - Khasawneh, Hussam J.
AU - Al Asbahi, Raghad
AU - Alzariqi, Abdelrahman W.
AU - Al Qada, Danah R.
AU - Bujuk, Ayman
AU - Nawfal, Muhammad A.
AU - Tareen, Maria
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/2/22
Y1 - 2025/2/22
N2 - 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.
AB - 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.
KW - Industrial Internet of Things (IIoT)
KW - Energy management
KW - Real-time monitoring
KW - Smart energy systems
KW - IoT-enabled submeters
UR - http://www.scopus.com/inward/record.url?scp=85218422417&partnerID=8YFLogxK
U2 - 10.1007/s43926-025-00110-y
DO - 10.1007/s43926-025-00110-y
M3 - Article
SN - 2730-7239
VL - 5
JO - Discover Internet of Things
JF - Discover Internet of Things
IS - 1
M1 - 15
ER -
