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Raindrop energy-powered autonomous wireless hyetometer based on liquid-solid contact electrification.

Chaoqun Xu1,2, Xianpeng Fu2,3, Chengyu Li1

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Triboelectric nanogenerators (TENGs) harvest energy from raindrops, enabling self-powered rainfall monitoring systems. This technology offers a sustainable solution for autonomous weather data collection and transmission.

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Electrical and electronic engineeringEnvironmental, health and safety issues

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Area of Science:

  • Energy Harvesting
  • Environmental Science
  • Materials Science

Background:

  • Triboelectric nanogenerators (TENGs) utilize contact electrification at solid-liquid interfaces for energy harvesting.
  • TENGs are suitable for harvesting raindrop energy and function as rainfall sensors.
  • Developing self-powered systems for autonomous monitoring is a key technological goal.

Purpose of the Study:

  • To report a raindrop energy-powered autonomous rainfall monitoring and wireless transmission system (R-RMS).
  • To demonstrate a raindrop-TENG (R-TENG) array functioning as both an energy harvester and a rainfall sensor.
  • To enable continuous power and autonomous data transmission for rainfall monitoring.

Main Methods:

  • An array of raindrop-TENGs (R-TENGs) was developed to capture energy from rainfall.
  • A power management circuit was employed to stabilize the harvested energy into a 2.5 V DC source.
  • The R-TENG array's output signal was monitored for rainfall sensing and data transmission.

Main Results:

  • At 71 mm/min rainfall intensity, the R-TENG array generated 15 μA current, 1800 V voltage, and 325 μW power.
  • The harvested energy powered the R-RMS, enabling continuous operation.
  • Autonomous wireless transmission of rainfall data occurred every 4 minutes at 71 mm/min intensity.

Conclusions:

  • The developed R-RMS demonstrates a self-powered system for autonomous rainfall monitoring.
  • This technology paves the way for raindrop energy-powered wireless hyetometers.
  • The system has broad prospects for unattended weather monitoring, field surveys, and IoT applications.