Smart Floor with Integrated Triboelectric Nanogenerator As Energy Harvester and Motion Sensor

2017 ◽  
Vol 9 (31) ◽  
pp. 26126-26133 ◽  
Author(s):  
Chuan He ◽  
Weijun Zhu ◽  
Baodong Chen ◽  
Liang Xu ◽  
Tao Jiang ◽  
...  
2020 ◽  
Author(s):  
Pashupati R. Adhikari ◽  
Nishat T. Tasneem ◽  
Dipon K. Biswas ◽  
Russell C. Reid ◽  
Ifana Mahbub

Abstract This paper presents a reverse electrowetting-on-dielectric (REWOD) energy harvester integrated with rectifier, boost converter, and charge amplifier that is, without bias voltage, capable of powering wearable sensors for monitoring human health in real-time. REWOD has been demonstrated to effectively generate electrical current at a low frequency range (< 3 Hz), which is the frequency range for various human activities such as walking, running, etc. However, the current generated from the REWOD without external bias source is insufficient to power such motion sensors. In this work, to eventually implement a fully self-powered motion sensor, we demonstrate a novel bias-free REWOD AC generation and then rectify, boost, and amplify the signal using commercial components. The unconditioned REWOD output of 95–240 mV AC is generated using a 50 μL droplet of 0.5M NaCl electrolyte and 2.5 mm of electrode displacement from an oscillation frequency range of 1–3 Hz. A seven-stage rectifier using Schottky diodes having a forward voltage drop of 135–240 mV and a forward current of 1 mA converts the generated AC signal to DC voltage. ∼3 V DC is measured at the boost converter output, proving the system could function as a self-powered motion sensor. Additionally, a linear relationship of output DC voltage with respect to frequency and displacement demonstrates the potential of this REWOD energy harvester to function as a self-powered wearable motion sensor.


Nano Energy ◽  
2021 ◽  
Vol 80 ◽  
pp. 105525 ◽  
Author(s):  
Yeongcheol Yun ◽  
Sunmin Jang ◽  
Sumin Cho ◽  
Sae Hyuk Lee ◽  
Hee Jae Hwang ◽  
...  

Nano Energy ◽  
2020 ◽  
Vol 70 ◽  
pp. 104524 ◽  
Author(s):  
Qixuan Zeng ◽  
Yan Wu ◽  
Qian Tang ◽  
Wenlin Liu ◽  
Jun Wu ◽  
...  

ACS Nano ◽  
2018 ◽  
Vol 12 (6) ◽  
pp. 5726-5733 ◽  
Author(s):  
Zhiyi Wu ◽  
Wenbo Ding ◽  
Yejing Dai ◽  
Kai Dong ◽  
Changsheng Wu ◽  
...  

2018 ◽  
Vol 27 (3) ◽  
pp. 035001 ◽  
Author(s):  
Min-Ook Kim ◽  
Soonjae Pyo ◽  
Yongkeun Oh ◽  
Yunsung Kang ◽  
Kyung-Ho Cho ◽  
...  

ACS Nano ◽  
2013 ◽  
Vol 7 (11) ◽  
pp. 10424-10432 ◽  
Author(s):  
Youfan Hu ◽  
Jin Yang ◽  
Qingshen Jing ◽  
Simiao Niu ◽  
Wenzhuo Wu ◽  
...  

2018 ◽  
Vol 6 (26) ◽  
pp. 12440-12446 ◽  
Author(s):  
Yuljae Cho ◽  
Sanghyo Lee ◽  
John Hong ◽  
Sangyeon Pak ◽  
Bo Hou ◽  
...  

High air stable hybrid energy harvester for a sustainable sensor network system.


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