Milliwatt μ-TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications
Aragonés Ortiz, Raúl (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Malet, Roger (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Oliver Malagelada, Joan (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Prim, Alex (Alternative Energy Innovations SL (Terrassa))
Mascarell, Denis (Alternative Energy Innovations SL (Terrassa))
Salleras, Marc (Institut de Microelectrònica de Barcelona)
Fonseca, Luis (Institut de Microelectrònica de Barcelona)
Rodríguez-Iglesias, Alex (Institut de Microelectrònica de Barcelona)
Tarancón Rubio, Albert (Institut de Recerca en Energia de Catalunya)
Morata, Alex (Institut de Recerca en Energia de Catalunya)
Baiutti, Federico (Institut de Recerca en Energia de Catalunya)
Ferrer, Carles (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)

Data:	2024
Resum:	This paper presents a novel waste-heat-powered, wireless, and battery-less Industrial Internet of Things (IIoT) device designed for predictive maintenance in Industry 4. 0 environments. With a focus on real-time quality data, this device addresses the limitations of current battery-operated IIoT devices, such as energy consumption, transmission range, data rate, and constant quality of service. It is specifically developed for heat-intensive industries (e. g. , iron and steel, cement, petrochemical, etc. ), where self-heating nodes, low-power processing platforms, and industrial sensors align with the stringent requirements of industrial monitoring. The presented IIoT device uses thermoelectric generators based on the Seebeck effect to harness waste heat from any hot surface, such as pipes or chimneys, ensuring continuous power without the need for batteries. The energy that is recovered can be used to power devices using mid-range wireless protocols like Bluetooth 5. 0, minimizing the need for extensive in-house wireless infrastructure and incorporating light-edge computing. Consequently, up to 98% of cloud computation efforts and associated greenhouse gas emissions are reduced as data is processed within the IoT device. From the environmental perspective, the deployment of such self-powered IIoT devices contributes to reducing the carbon footprint in energy-demanding industries, aiding their digitalization transition towards the industry 5. 0 paradigm. This paper presents the results of the most challenging energy harvesting technologies based on an all-silicon micro thermoelectric generator with planar architecture. The effectiveness and self-powering ability of the selected model, coupled with an ultra-low-power processing platform and Bluetooth 5 connectivity, are validated in an equivalent industrial environment to monitor vibrations in an electric machine. This approach aligns with the EU's strategic objective of achieving net zero manufacturing capacity for renewable energy technologies, enhancing its position as a global leader in renewable energy technology (RET).
Ajuts:	European Commission 824072 European Commission 946845 Ministerio de Ciencia, Innovación y Universidades FPU18/01494 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00497 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-10623 Agencia Estatal de Investigación PID2019-110142RB-C21 Agencia Estatal de Investigación PID2020-116890RB-I00 Agencia Estatal de Investigación CEX2023-001397-M
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 ; LoRaWAN ; Edge-computing ; Netzero ; Energy intensive industry
Publicat a:	Information, Vol. 15, Núm. 9 (September 2024) , art. 545, ISSN 2078-2489

DOI: 10.3390/info15090545

21 p, 9.7 MB

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