A Flexible Piezoelectric Energy Harvester-Based Single-Layer WS2 Nanometer 2D Material for Self-Powered Sensors
Autor: | Kyung Bum Kim, Quan Wang, Tae Hyun Sung, Yooseob Song, Sang Bum Woo |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Control and Optimization
Materials science Piezoelectric sensor Frequency band Energy Engineering and Power Technology 02 engineering and technology 010402 general chemistry human movement 01 natural sciences lcsh:Technology law.invention Generator (circuit theory) law tungsten disulfide flexible device monolayer Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment business.industry lcsh:T Electrical engineering 021001 nanoscience & nanotechnology Piezoelectricity piezoelectric energy harvester 0104 chemical sciences Capacitor 0210 nano-technology business Sensitivity (electronics) Energy (signal processing) Energy (miscellaneous) Voltage |
Zdroj: | Energies, Vol 14, Iss 2097, p 2097 (2021) Energies Volume 14 Issue 8 |
ISSN: | 1996-1073 |
Popis: | A piezoelectric sensor is a typical self-powered sensor. With the advantages of a high sensitivity, high frequency band, high signal-to-noise ratio, simple structure, light weight, and reliable operation, it has gradually been applied to the field of smart wearable devices. Here, we first report a flexible piezoelectric sensor (FPS) based on tungsten disulfide (WS2) monolayers that generate electricity when subjected to human movement. The generator maximum voltage was 2.26 V, and the produced energy was 55.45 μJ of the electrical charge on the capacitor (capacity: 220 μF) when applying periodic pressing by 13 kg. The generator demonstrated here can meet the requirements of human motion energy because it generates an average voltage of 7.74 V (a knee), 8.7 V (a sole), and 4.58 V (an elbow) when used on a running human (weight: 75 kg). Output voltages embody distinct patterns for different human parts, the movement-recognition capability of the cellphone application. This generator is quite promising for smart sensors in human–machine interaction detecting personal movement. |
Databáze: | OpenAIRE |
Externí odkaz: |