Enhanced Heat-Powered Batteryless IIoT Architecture with NB-IoT for Predictive Maintenance in the Oil and Gas Industry
Aragonés Ortiz, Raúl (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Oliver Malagelada, Joan (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Ferrer, Carles (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)

Data:	2025
Resum:	The carbon footprint associated with human activity, particularly from energy-intensive industries such as iron and steel, aluminium, cement, oil and gas, and petrochemicals, contributes significantly to global warming. These industries face unique challenges in achieving Industry 4. 0 goals due to the widespread adoption of industrial Internet of Things (IIoT) technologies, which require reliable and efficient power solutions. Conventional wireless devices powered by lithium batteries have limitations, including a reduced lifespan in high-temperature environments, incompatibility with explosive atmospheres, and high maintenance costs. This paper proposes a novel approach to address these challenges by leveraging residual heat to power IIoT devices, eliminating the need for batteries and enabling autonomous operation. Based on the Seebeck effect, thermoelectric energy harvesters transduce waste heat from industrial surfaces, such as pipes or chimneys, into sufficient electrical energy to power IoT nodes for applications like the condition monitoring and predictive maintenance of rotating machinery. The methodology presented standardises the modelling and simulation of Waste Heat Recovery Systems (IoT-WHRSs), demonstrating their feasibility through statistical analysis of IoT-WHRS architectures. Furthermore, this technology has been successfully implemented in a petroleum refinery, where it benefits from the NB-IoT standard for long-range, robust, and secure communications, ensuring reliable data transmission in harsh industrial environments. The results highlight the potential of this solution to reduce costs, improve safety, and enhance efficiency in demanding industrial applications, making it a valuable tool for the energy transition.
Ajuts:	European Commission 946845 Agencia Estatal de Investigación PID2020-116890RB-I00
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Energy harvesting ; Thermoelectricity ; LCA ; Carbon footprint ; NB-IoT ; Edge computing ; NETZERO ; Energy-intensive industry
Publicat a:	Sensors (Basel, Switzerland), Vol. 25, Issue 8 (April 2025) , art. 2590, ISSN 1424-8220

DOI: 10.3390/s25082590
PMID: 40285278

25 p, 10.9 MB

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