Wireless sensor node with hybrid energy harvesting for air-flow rate sensing

Conference paper (2017)

Authors

Yushen Hu Southern University of Science and Technology
Jingchi Yang Southern University of Science and Technology
Ziyu Huang Southern University of Science and Technology
R. Sokolovskij Electronic Components, Technology and Materials - EEMCS
F. Wang Southern University of Science and Technology
Research Group
Electronic Components, Technology and Materials (EEMCS) (TU Delft)
WSN Flow sensor Energy harvester Hybrid-powered
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Published Date

2017

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Electronic Components, Technology and Materials

Abstract

This paper presents a hybrid-powered wireless sensor node using enhanced triboelectric nanogenerator (TENG) as both energy harvester and air-flow sensor and two 11 cm2 solar panels as extra power supply. A low budget commercial RF microcontroller is included for data conversion, signal processing and wireless transmission. The method of flow-rate detection depends on the vibration frequency of the film inside the triboelectric generator. Experiment results show that this flow sensor is capable of detecting flow rate from 7.6 m/s to 17.1 m/s, with a standard deviation of 3.4, 3s setup time and 30s charge time. With a Raspberry Pi, the wireless signal can be received and delivered to Internet and therefore, can be monitored easily from any portable terminal with internet-access.

Files

08234161.pdf
(.pdf | 2.13 Mb)