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Energy Harvesting Chip and the Chip Based Power Supply Development for a Wireless Sensor Network.

Dasheng Lee1

  • 1Department of Energy and Refrigerating Air-conditioning Engineering, National Taipei University of Technology, Taipei, Taiwan, 106. f11167@ntut.edu.tw.

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|November 23, 2016
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Summary

This study developed a battery-less energy harvesting chip using a nano-ferrofluid transformer to power wireless sensor nodes for human comfort monitoring. The system demonstrates reliable operation and significant energy savings in a real-world deployment.

Keywords:
Chip embedded transformerEnergy harvesting chipNano-ferrofluid magnetic corePacket loss rate (PLR)Wireless sensor network (WSN)

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Area of Science:

  • Energy Harvesting
  • Wireless Sensor Networks
  • Embedded Systems
  • Thermal Comfort Monitoring

Background:

  • Traditional wireless sensor nodes often rely on batteries, necessitating frequent replacement and maintenance.
  • Accurate monitoring of human body comfort requires integrated sensing capabilities for environmental parameters.
  • Existing solutions for powering sensor networks can be inefficient and costly.

Purpose of the Study:

  • To develop a novel energy harvesting chip for powering wireless sensor nodes (WSNs) using artificial light.
  • To create a battery-less power supply solution for environmental monitoring, specifically human thermal comfort.
  • To evaluate the performance and energy efficiency of the energy harvesting WSN in a real-world application.

Main Methods:

  • Designed an energy harvesting chip featuring a miniature transformer with a nano-ferrofluid magnetic core.
  • Integrated the chip with a wireless sensor node equipped with temperature, humidity, photosensors, and a flow sensor.
  • Deployed the energy harvesting WSN in a 24-hour convenience store for one year to collect thermal comfort data (PMV index).

Main Results:

  • The energy harvesting chip successfully powered the WSN, achieving measurement precision with less than 6% deviation for temperature and humidity sensors under low light.
  • The WSN demonstrated reliable operation over a year, with a packet loss rate of 2.3%, comparable to battery-powered WSNs.
  • Implemented feedback control using the WSN resulted in approximately 54% energy savings in the convenience store's air conditioning system.

Conclusions:

  • The developed energy harvesting chip provides a viable, battery-less power source for wireless sensor nodes.
  • The system effectively monitors human thermal comfort and contributes to energy efficiency through intelligent control.
  • This approach offers a sustainable and reliable solution for powering electronic devices and optimizing energy consumption.