High-efficient energy harvesting architecture for self-powered thermal-monitoring wireless sensor node based on a...

Area of Science:

• Energy Harvesting
• Sensor Technology
• Internet of Things (IoT) Architectures

Background:

• Self-powered devices are crucial for the Internet of Things (IoT), impacting cost, power consumption, and environmental footprint.
• Thermoelectric generators (TEGs) offer potential for energy harvesting and sensing applications.

Purpose of the Study:

• To investigate a wireless sensor node utilizing a single TEG for simultaneous power generation and temperature gradient sensing.
• To enable thermal-aware server load management in data centers through precise temperature gradient data collection.

Main Methods:

• Implemented a system architecture with a single thermoelectric generator (TEG).
• Utilized a maximum power point tracking (MPPT) algorithm to control the TEG's operating point.
• Leveraged the TEG's power-temperature transfer function for temperature gradient measurement.

Main Results:

• Demonstrated efficient energy harvesting from temperature gradients.
• Achieved accurate temperature gradient measurement with a maximum error of 0.14 °C.
• Reported harvesting efficiency exceeding 92% for temperature gradients above 13 °C.

Conclusions:

• The proposed system architecture enables efficient energy harvesting and accurate temperature gradient measurement using a single transducer.
• This approach supports the development of smarter, more energy-efficient data center operations.