A Novel Triboelectric Sensor With Low Starting Speed for Omnidirectional Monitoring of Wind Speed and Direction

Developing a self-powered sensor system for real-time measurement of wind speed and direction in dispersed locations is crucial for environmental monitoring. In this study, a rotational wind sensor based on a non-contact triboelectric nanogenerator (RWT-sensor) is proposed, which can operate autonomously at ultra-low wind speeds and has the capability to measure wind speed and multiple wind directions in real-time. The device, featuring a non-contact design, utilizes the gap between the wool and Teflon, along with the lightweight characteristic of the wool material, to achieve a starting wind speed of less than 1 m/s. The wind speed can be determined by reading the sensor’s voltage frequency at various wind speeds. The voltage frequency that the sensor can reach within the wind speed range of 1-12 m/s is 3.5-67.34 Hz, with a sensitivity of 5.88 Hz/(m/s), and a goodness of fit R² = 0.99781. Meanwhile, the voltage range that the sensor can achieve is approximately 1.5-50V, and the sensor will monitor eight wind directions based on the output voltage value, when the conductive brush approaches without touching one or two reverse electrodes on the base. In addition, the device demonstrates excellent stability and durability at various temperature and humidity conditions. Therefore, the present novel wind sensor has great potential for application in self-powered wind speed sensing and high-sensitivity wind direction sensing.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-08-04
DOI
https://doi.org/10.1109/jsen.2025.3593612
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Triboelectric Sensor With Low Starting Speed for Omnidirectional Monitoring of Wind Speed and Direction

Jianfeng Luo, Jinlin Wu, Keyang Zhao, Xizeng Zhao et al.
1 citations
IEEE Sensors Journal
Advanced Sensor and Energy Harvesting Materials
0.67
article

A Novel Triboelectric Sensor With Low Starting Speed for Omnidirectional Monitoring of Wind Speed and Direction

Jianfeng Luo, Jinlin Wu, Keyang Zhao, Xizeng Zhao, Zhenhua Li, Yuxiang Su, Xinyao Zhang, Xiaonan Su, Guanyu Dai
article en
1 citations

Abstract

Developing a self-powered sensor system for real-time measurement of wind speed and direction in dispersed locations is crucial for environmental monitoring. In this study, a rotational wind sensor based on a non-contact triboelectric nanogenerator (RWT-sensor) is proposed, which can operate autonomously at ultra-low wind speeds and has the capability to measure wind speed and multiple wind directions in real-time. The device, featuring a non-contact design, utilizes the gap between the wool and Teflon, along with the lightweight characteristic of the wool material, to achieve a starting wind speed of less than 1 m/s. The wind speed can be determined by reading the sensor’s voltage frequency at various wind speeds. The voltage frequency that the sensor can reach within the wind speed range of 1-12 m/s is 3.5-67.34 Hz, with a sensitivity of 5.88 Hz/(m/s), and a goodness of fit R² = 0.99781. Meanwhile, the voltage range that the sensor can achieve is approximately 1.5-50V, and the sensor will monitor eight wind directions based on the output voltage value, when the conductive brush approaches without touching one or two reverse electrodes on the base. In addition, the device demonstrates excellent stability and durability at various temperature and humidity conditions. Therefore, the present novel wind sensor has great potential for application in self-powered wind speed sensing and high-sensitivity wind direction sensing.

IEEE Sensors JournalVol. 25(17)
Zhejiang Ocean University (CN), Zhejiang University (CN)
Bureau of Science and Technology of Zhoushan, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 28%
Advanced Sensor and Energy Harvesting Materials
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.