Segmented wind energy harvester based on contact-electrification and as a self-powered flow rate sensor

2016 ◽  
Vol 653 ◽  
pp. 96-100 ◽  
Author(s):  
Yuanjie Su ◽  
Guangzhong Xie ◽  
Fabiao Xie ◽  
Tao Xie ◽  
Qiuping Zhang ◽  
...  
2016 ◽  
Vol 49 (21) ◽  
pp. 215601 ◽  
Author(s):  
Yuanjie Su ◽  
Guangzhong Xie ◽  
Tao Xie ◽  
Hulin Zhang ◽  
Zongbiao Ye ◽  
...  

Author(s):  
Amin Bibo ◽  
Daniel St. Clair ◽  
Venkata R. Sennakesavababu ◽  
Gang Li ◽  
Mohammed F. Daqaq

We present and validate a nonlinear aero-electro-mechanical model that describes the response of a scalable self-excited wind energy harvester. Similar to music-playing harmonica that create tones via oscillations of reeds when subjected to air blow, the proposed device uses flow-induced self-excited oscillations of a piezoelectric beam embedded within a cavity to generate electric power. Specifically, when the volumetric flow rate of air past the beam exceeds a certain threshold, the energy pumped into the structure via nonlinear pressure forces offsets the intrinsic damping in the system setting the beam into self-sustained limit-cycle oscillations. The vibratory energy is then converted into electricity through principles of piezoelectricity.


Author(s):  
Kumar Shrestha ◽  
Pukar Maharjan ◽  
Trilochan Bhatta ◽  
Sudeep Sharma ◽  
Sang Hyun Lee ◽  
...  

2019 ◽  
Vol 28 (11) ◽  
pp. 115022 ◽  
Author(s):  
Minfeng Tang ◽  
Qihui Guan ◽  
Xiaoping Wu ◽  
Xiaohui Zeng ◽  
Zutao Zhang ◽  
...  

Nano Energy ◽  
2018 ◽  
Vol 50 ◽  
pp. 562-570 ◽  
Author(s):  
Xiaohu Ren ◽  
Huiqing Fan ◽  
Chao Wang ◽  
Jiangwei Ma ◽  
Hua Li ◽  
...  

Nano Energy ◽  
2021 ◽  
pp. 106686
Author(s):  
Shufen Dai ◽  
Xunjia Li ◽  
Chengmei Jiang ◽  
Qi Zhang ◽  
Bo Peng ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pashupati R. Adhikari ◽  
Nishat T. Tasneem ◽  
Russell C. Reid ◽  
Ifana Mahbub

AbstractIncreasing demand for self-powered wearable sensors has spurred an urgent need to develop energy harvesting systems that can reliably and sufficiently power these devices. Within the last decade, reverse electrowetting-on-dielectric (REWOD)-based mechanical motion energy harvesting has been developed, where an electrolyte is modulated (repeatedly squeezed) between two dissimilar electrodes under an externally applied mechanical force to generate an AC current. In this work, we explored various combinations of electrolyte concentrations, dielectrics, and dielectric thicknesses to generate maximum output power employing REWOD energy harvester. With the objective of implementing a fully self-powered wearable sensor, a “zero applied-bias-voltage” approach was adopted. Three different concentrations of sodium chloride aqueous solutions (NaCl-0.1 M, NaCl-0.5 M, and NaCl-1.0 M) were used as electrolytes. Likewise, electrodes were fabricated with three different dielectric thicknesses (100 nm, 150 nm, and 200 nm) of Al2O3 and SiO2 with an additional layer of CYTOP for surface hydrophobicity. The REWOD energy harvester and its electrode–electrolyte layers were modeled using lumped components that include a resistor, a capacitor, and a current source representing the harvester. Without using any external bias voltage, AC current generation with a power density of 53.3 nW/cm2 was demonstrated at an external excitation frequency of 3 Hz with an optimal external load. The experimental results were analytically verified using the derived theoretical model. Superior performance of the harvester in terms of the figure-of-merit comparing previously reported works is demonstrated. The novelty of this work lies in the combination of an analytical modeling method and experimental validation that together can be used to increase the REWOD harvested power extensively without requiring any external bias voltage.


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