# Batteryless IoT Sensing Using Thermoelectric Energy Harvesting from Industrial Motor Waste Heat

**Authors:** Kamil Bancik, Jaromir Konecny, Martin Stankus, Radim Hercik, Jiri Koziorek, Vytautas Markevičius, Darius Andriukaitis, Michal Prauzek

PMC · DOI: 10.3390/s26051644 · Sensors (Basel, Switzerland) · 2026-03-05

## TL;DR

This paper shows how to power wireless sensors in factories using heat from motors, eliminating the need for batteries.

## Contribution

A batteryless IoT sensing system using thermoelectric harvesting from low-power motors is designed and validated.

## Key findings

- The system harvested 6.17 J of energy over 9612 s, enabling 41 successful LoRa transmissions.
- The prototype operated efficiently at a 0.25 kW motor rating, outperforming similar systems.
- A hybrid DC/DC conversion chain and adaptive transmission strategy ensured reliable energy management.

## Abstract

This study presents the design, implementation, and validation of a thermoelectric energy harvesting system that exploits waste heat from an industrial electric motor to power an autonomous wireless sensor device. The proposed prototype integrates a single thermoelectric generator directly onto the motor housing and leverages the built-in cooling fan to maintain a stable thermal gradient of approximately 4–5 °C. Under real factory conditions, the system harvested 6.17 J of energy over 9612 s, sustaining continuous operation and 41 successful Long Range (LoRa) data transmissions with a positive energy balance. Compared with related works, the prototype achieved competitive or superior performance while operating at a lower motor rating of 0.25 kW, highlighting its efficiency relative to system scale. Key innovations include a hybrid DC/DC conversion chain bridging ultra-low input voltages to modern microcontrollers, and an adaptive transmission strategy that ensures predictable energy management and reliable wireless communication. These results demonstrate the feasibility of battery-free sensing in industrial environments and underline the potential of thermoelectric harvesting as a cost-effective, maintenance-free, and environmentally responsible solution for predictive maintenance and Industry 4.0 applications.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12987128/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/PMC12987128/full.md

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Source: https://tomesphere.com/paper/PMC12987128