Low‐frequency nanocomposite piezoelectric energy harvester with embedded zinc oxide nanowires

2021 ◽  
Author(s):  
Mark Meschino ◽  
Lingyun Wang ◽  
Haitong Xu ◽  
Rasool Moradi‐Dastjerdi ◽  
Kamran Behdinan
Author(s):  
Muhammad Irsyad Suhaimi ◽  
Anis Nurashikin Nordin ◽  
Aliza Aini Md Ralib ◽  
Lai Ming Lim ◽  
Zambri Samsudin

Aims: Recent advancements in sensing technology and wireless communications have accelerated the development of the Internet of Things (IoT) which promote the usage of wearable sensors. An emerging trend is to develop self-sustainable wearable devices, thus eliminating the necessity of the user to carry bulky batteries. In this work, the development of a flexible piezoelectric energy harvester that is capable of harvesting energy from low frequency vibrations is presented. The target application of this energy harvester is for usage in smart shoes. Objectives: The objectives of this research is to design, fabricate and test an energy harvester on PET substrate using Aluminum Zinc Oxide as its piezoelectric layer. Methods: The energy harvester was designed as a cantilever structure using PET/AZO/Ag layers in d33 mode which can generate large output voltages with small displacements. The electrodes were designed as an interdigitated structure in which two significant design parameters were chosen, namely the effect of gap between electrodes, g and number of interdigital electrodes (IDE) pairs, N to the output voltage and resonant frequency. Results: The sputtered AZO on PET showed c-axis orientation at 002 peak with 2 values of 34.45° which indicates piezoelectric behaviour. The silver IDE pairs were screen-printed on the AZO thin film. Functionality of the device as an energy harvester was demonstrated by testing it using a shaker. The energy harvester was capable of generating 0.867 Vrms output voltage when actuated at 49.6 Hz vibrations. Conclusion: This indicates that the AZO thin films with printed silver electrodes can be used as flexible, d33 energy harvesters.


2016 ◽  
Vol 8 (22) ◽  
pp. 13678-13683 ◽  
Author(s):  
Canlin Ou ◽  
Pedro E. Sanchez-Jimenez ◽  
Anuja Datta ◽  
Francesca L. Boughey ◽  
Richard A. Whiter ◽  
...  

2013 ◽  
Vol 476 ◽  
pp. 012131 ◽  
Author(s):  
Nimra Jalali ◽  
Joe Briscoe ◽  
Peter Woolliams ◽  
Mark Stewart ◽  
Paul M Weaver ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 203
Author(s):  
Xiaohua Huang ◽  
Cheng Zhang ◽  
Keren Dai

Using the piezoelectric effect to harvest energy from surrounding vibrations is a promising alternative solution for powering small electronic devices such as wireless sensors and portable devices. A conventional piezoelectric energy harvester (PEH) can only efficiently collect energy within a small range around the resonance frequency. To realize broadband vibration energy harvesting, the idea of multiple-degrees-of-freedom (DOF) PEH to realize multiple resonant frequencies within a certain range has been recently proposed and some preliminary research has validated its feasibility. Therefore, this paper proposed a multi-DOF wideband PEH based on the frequency interval shortening mechanism to realize five resonance frequencies close enough to each other. The PEH consists of five tip masses, two U-shaped cantilever beams and a straight beam, and tuning of the resonance frequencies is realized by specific parameter design. The electrical characteristics of the PEH are analyzed by simulation and experiment, validating that the PEH can effectively expand the operating bandwidth and collect vibration energy in the low frequency. Experimental results show that the PEH has five low-frequency resonant frequencies, which are 13, 15, 18, 21 and 24 Hz; under the action of 0.5 g acceleration, the maximum output power is 52.2, 49.4, 61.3, 39.2 and 32.1 μW, respectively. In view of the difference between the simulation and the experimental results, this paper conducted an error analysis and revealed that the material parameters and parasitic capacitance are important factors that affect the simulation results. Based on the analysis, the simulation is improved for better agreement with experiments.


Nano Letters ◽  
2021 ◽  
Author(s):  
Qiong Liu ◽  
Yihan Nie ◽  
Jing Shang ◽  
Liangzhi Kou ◽  
Haifei Zhan ◽  
...  

2006 ◽  
Vol 17 (19) ◽  
pp. 4811-4818 ◽  
Author(s):  
S H Dalal ◽  
D L Baptista ◽  
K B K Teo ◽  
R G Lacerda ◽  
D A Jefferson ◽  
...  

ACS Nano ◽  
2012 ◽  
Vol 6 (5) ◽  
pp. 3760-3766 ◽  
Author(s):  
Weihua Han ◽  
Yusheng Zhou ◽  
Yan Zhang ◽  
Cheng-Ying Chen ◽  
Long Lin ◽  
...  

2012 ◽  
Vol 02 (04) ◽  
pp. 56-59 ◽  
Author(s):  
Concepción Mejía García ◽  
Elvia Díaz Valdés ◽  
Ana Ma. Paniagua Mercado ◽  
Arturo F. Méndez Sánchez ◽  
José A. Andraca Adame ◽  
...  

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