Vibration energy harvesting for low power devices

2016 ◽  
Author(s):  
Priyanka Vasan N. ◽  
Kirubaveni S. ◽  
Sreeja B.S ◽  
Radha S.
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Vibration Energy ◽  
Power Devices ◽  
Vibration Energy Harvesting

Autonomous Low Power Microsystem Powered by Vibration Energy Harvesting

2007 ◽  
Author(s):  
R.N. Torah ◽  
M.J. Tudor ◽  
K. Patel ◽  
I.N. Garcia ◽  
S.P. Beeby
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Vibration Energy ◽  
Vibration Energy Harvesting

Design Considerations for Harvesting Vibration Energy at MEMS Scale: Review

2009 ◽  
Author(s):  
Vinod R. Challa ◽  
Frank T. Fisher
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Power Density ◽  
Wireless Sensors ◽  
Load Resistance ◽  
Peak Power Output ◽  
Vibration Energy ◽  
Vibration Energy Harvesting ◽  
Ultra Low Power ◽  
Design Considerations

Vibration based energy harvesting has wide potential applications in areas such as wireless sensors networks and ultra low power devices. While there have been various technologies through which vibration energy has been harvested, there is a considerable need to improve the power density of such devices. Recently, efforts have been made in developing MEMS scale devices as they would have increased power density and also provide ease of integration with wireless sensors and low power electronic devices. The aim of this paper is to present the generic and specific design considerations for vibration energy harvesting at the MEMS scale for electrostatic, electromagnetic and piezoelectric techniques. The effect of external load such as load resistance employed for peak power output on the total damping in the system is discussed. The typical MEMS scale vibrating structures such as cantilever beam, fixed-fixed beam and membrane are also presented.

scholarly journals Experiment Investigation of Bistable Vibration Energy Harvesting with Random Wave Environment

2021 ◽  
Vol 11 (9) ◽  
pp. 3868
Author(s):  
Qiong Wu ◽  
Hairui Zhang ◽  
Jie Lian ◽  
Wei Zhao ◽  
Shijie Zhou ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Cantilever Beam ◽  
Large Scale ◽  
Low Frequency ◽  
Vibration Energy ◽  
Random Wave ◽  
Periodic Signal ◽  
Vibration Energy Harvesting ◽  
Motion Activity

The energy harvested from the renewable energy has been attracting a great potential as a source of electricity for many years; however, several challenges still exist limiting output performance, such as the package and low frequency of the wave. Here, this paper proposed a bistable vibration system for harvesting low-frequency renewable energy, the bistable vibration model consisting of an inverted cantilever beam with a mass block at the tip in a random wave environment and also develop a vibration energy harvesting system with a piezoelectric element attached to the surface of a cantilever beam. The experiment was carried out by simulating the random wave environment using the experimental equipment. The experiment result showed a mass block’s response vibration was indeed changed from a single stable vibration to a bistable oscillation when a random wave signal and a periodic signal were co-excited. It was shown that stochastic resonance phenomena can be activated reliably using the proposed bistable motion system, and, correspondingly, large-scale bistable responses can be generated to realize effective amplitude enlargement after input signals are received. Furthermore, as an important design factor, the influence of periodic excitation signals on the large-scale bistable motion activity was carefully discussed, and a solid foundation was laid for further practical energy harvesting applications.

Genetic algorithm- and finite element-based design and analysis of nonprismatic piezolaminated beam for optimal vibration energy harvesting

2015 ◽  
Vol 230 (14) ◽  
pp. 2532-2548 ◽  
Author(s):  
Alok Ranjan Biswal ◽  
Tarapada Roy ◽  
Rabindra Kumar Behera
Keyword(s):  
Genetic Algorithm ◽  
Finite Element ◽  
Energy Harvesting ◽  
Output Power ◽  
Governing Equation ◽  
Optimization Technique ◽  
Vibration Energy ◽  
Fe Model ◽  
Vibration Energy Harvesting ◽  
Real Coded Genetic Algorithm

The current article deals with finite element (FE)- and genetic algorithm (GA)-based vibration energy harvesting from a tapered piezolaminated cantilever beam. Euler–Bernoulli beam theory is used for modeling the various cross sections of the beam. The governing equation of motion is derived by using the Hamilton's principle. Two noded beam elements with two degrees of freedom at each node have been considered in order to solve the governing equation. The effect of structural damping has also been incorporated in the FE model. An electric interface is assumed to be connected to measure the voltage and output power in piezoelectric patch due to charge accumulation caused by vibration. The effects of taper (both in the width and height directions) on output power for three cases of shape variation (such as linear, parabolic and cubic) along with frequency and voltage are analyzed. A real-coded genetic algorithm-based constrained (such as ultimate stress and breakdown voltage) optimization technique has been formulated to determine the best possible design variables for optimal harvesting power. A comparative study is also carried out for output power by varying the cross section of the beam, and genetic algorithm-based optimization scheme shows the better results than that of available conventional trial and error methods.

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