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Battery-Less Environment Sensor Using Thermoelectric Energy Harvesting from Soil-Ambient Air Temperature Differences
Priyesh Pappinisseri Puluckul1, Maarten Weyn1
1IDLab-Faculty of Applied Engineering, University of Antwerp-imec, Sint-Pietersvliet 7, 2000 Antwerp, Belgium.
This study presents a battery-less environmental sensing node that harvests thermal energy from soil temperature differences. The system generates enough energy for daily sensing and DASH7 transmissions, extending device lifetime.
Area of Science:
- Environmental Science
- Electrical Engineering
- Computer Science
Background:
- Energy harvesting is crucial for the longevity of Internet of Things (IoT) devices and Wireless Sensor Networks (WSNs).
- Environmental sensing applications require autonomous, long-lasting devices, making energy harvesting essential.
- Thermal energy harvesting, utilizing temperature gradients, is a viable power source for such devices.
Purpose of the Study:
- To design and demonstrate a proof-of-concept environmental sensing node powered by soil thermal energy.
- To evaluate the energy harvesting potential from soil and air temperature differences in diverse locations.
- To develop a battery-less system using supercapacitors for energy storage and management.
Main Methods:
- Designed an environmental sensing node incorporating a thermal energy harvester.
- Collected soil and air temperature data from Belgium and Iceland to assess energy production potential.
- Developed a power management circuit and utilized a supercapacitor for energy storage.
- Deployed and evaluated the performance of the field prototype.
Main Results:
- The system harvests an average of 178.74 mJ per day.
- The harvested energy is sufficient for at least 5 DASH7 communication protocol transmissions and 100 sensing tasks daily.
- The battery-less design with supercapacitor storage proved effective.
Conclusions:
- Soil temperature gradients can effectively power environmental sensing nodes.
- The developed energy harvesting system enables autonomous, long-term environmental monitoring.
- This approach significantly extends the operational lifetime of IoT devices in remote applications.
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