118ba66271e4f5ae5c9c1473390b8ba4 information-15-00545.pdf 5cf370f223e8e580a652cfa6e5323a46199b29e1 information-15-00545.pdf c612d0c143ed1f9fe5c176427792553a53ab586efca1eefd91f52d36c5fc87cc information-15-00545.pdf Title: Milliwatt -TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications Subject: 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). Keywords: energy harvesting; thermoelectricity; LCA; carbon footprint; LoRaWAN; edge-computing; netzero; energy intensive industry Author: Raúl Aragonés, Roger Malet, Joan Oliver, Alex Prim, Denis Mascarell, Marc Salleras, Luis Fonseca, Alex Rodríguez-Iglesias, Albert Tarancón, Alex Morata, Federico Baiutti and Carles Ferrer Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Fri Sep 6 04:46:04 2024 CEST ModDate: Fri Sep 6 04:52:00 2024 CEST Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 21 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 10153552 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- XIRVNA+EURB10 Type 1 Builtin yes yes yes 10 0 DIMMOC+VnURWPalladioL-Bold Type 1 Custom yes yes yes 15 0 AQYKFV+URWPalladioL-Bold Type 1 Custom yes yes yes 21 0 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yes yes no 913 0 AKFCIJ+Arial CID TrueType Identity-H yes yes yes 916 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-12-03 02:43:01 CET RepresentationInformation: information-15-00545.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-10-08 12:17:47 CEST Size: 10153552 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 1099 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Children: Item: Title: Environmental Impact of Lithium and Waste Heat Destination: subsection.1.1 Item: Title: Lithium Batteries in Explosive Environments Destination: subsection.1.2 Item: Title: Waste Heat Recovery Devices to Power Sensing Systems Destination: subsection.1.3 Item: Title: Micro-Thermoelectric Generator as an Alternative to Chalcogenide-Based TEG (Bi2Te3) Destination: subsection.1.4 Item: Title: Energy-Harvesting Technologies Destination: section.2 Item: Title: Waste Heat Distribution in Manufacturing Industries Destination: section.3 Item: Title: Ultra-Low-Power Heat-Powered IoT Platform Destination: section.4 Item: Title: Silicon -TEG Generator Destination: section.5 Item: Title: Ultra-Low-Power IoT Device for Predictive Maintenance in Electric Motors Destination: section.6 Children: Item: Title: Power Conversion Module Destination: subsection.6.1 Item: Title: Processing and Acquisition Platform Destination: subsection.6.2 Item: Title: Experimental Results Destination: section.7 Children: Item: Title: -TEG Module Experiments Destination: subsection.7.1 Item: Title: IIOT Node Experiments Destination: subsection.7.2 Item: Title: Whole System Integration Destination: subsection.7.3 Item: Title: Monitoring Vibrations in a Laboratory Motor Destination: subsection.7.4 Item: Title: Economic Model and Competitor’s Comparison Destination: subsection.7.5 Item: Title: Conclusions Destination: section.8 Item: Title: References Destination: section.9 Info: Title: Milliwatt -TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications Author: Raúl Aragonés, Roger Malet, Joan Oliver, Alex Prim, Denis Mascarell, Marc Salleras, Luis Fonseca, Alex Rodríguez-Iglesias, Albert Tarancón, Alex Morata, Federico Baiutti and Carles Ferrer Subject: 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). 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