scholarly journals Electromechanical Modeling of MEMS-Based Piezoelectric Energy Harvesting Devices for Applications in Domestic Washing Machines

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 617 ◽  
Author(s):  
Eustaquio Martínez-Cisneros ◽  
Luis A. Velosa-Moncada ◽  
Jesús A. Del Angel-Arroyo ◽  
Luz Antonio Aguilera-Cortés ◽  
Carlos Arturo Cerón-Álvarez ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Mechanical Behavior ◽  
Electrical Energy ◽  
Analytical Models ◽  
Piezoelectric Energy Harvesting ◽  
Mechanical Vibrations ◽  
Piezoelectric Energy ◽  
Surrounding Environment ◽  
Washing Machines ◽  
Electromechanical Modeling

Microelectromechanical system (MEMS)-based piezoelectric energy harvesting (PEH) devices can convert the mechanical vibrations of their surrounding environment into electrical energy for low-power sensors. This electrical energy is amplified when the operation resonant frequency of the PEH device matches with the vibration frequency of its surrounding environment. We present the electromechanical modeling of two MEMS-based PEH devices to transform the mechanical vibrations of domestic washing machines into electrical energy. These devices have resonant structures with a T shape, which are formed by an array of multilayer beams and a ultraviolet (UV)-resin seismic mass. The first layer is a substrate of polyethylene terephthalate (PET), the second and fourth layers are Al and Pt electrodes, and the third layer is piezoelectric material. Two different types of piezoelectric materials (ZnO and PZT-5A) are considered in the designs of PEH devices. The mechanical behavior of each PEH device is obtained using analytical models based on the Rayleigh–Ritz and Macaulay methods, as well as the Euler–Bernoulli beam theory. In addition, finite element method (FEM) models are developed to predict the electromechanical response of the PEH devices. The results of the mechanical behavior of these devices obtained with the analytical models agree well with those of the FEM models. The PEH devices of ZnO and PZT-5A can generate up to 1.97 and 1.35 µW with voltages of 545.32 and 45.10 mV, and load resistances of 151.12 and 1.5 kΩ, respectively. These PEH devices could supply power to internet of things (IoT) sensors of domestic washing machines.

Energy harvesting from quasi-static deformations via bilaterally constrained strips

2018 ◽  
Vol 29 (18) ◽  
pp. 3572-3581
Author(s):  
Suihan Liu ◽  
Ali Imani Azad ◽  
Rigoberto Burgueño
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Mechanical Energy ◽  
Electrical Power ◽  
Energy Resource ◽  
Electrical Energy ◽  
Piezoelectric Energy Harvesting ◽  
Power Budget ◽  
Piezoelectric Energy ◽  
Static Conditions

Piezoelectric energy harvesting from ambient vibrations is well studied, but harvesting from quasi-static responses is not yet fully explored. The lack of attention is because quasi-static actions are much slower than the resonance frequency of piezoelectric oscillators to achieve optimal outputs; however, they can be a common mechanical energy resource: from large civil structure deformations to biomechanical motions. The recent advances in bio-micro-electro-mechanical systems and wireless sensor technologies are motivating the study of piezoelectric energy harvesting from quasi-static conditions for low-power budget devices. This article presents a new approach of using quasi-static deformations to generate electrical power through an axially compressed bilaterally constrained strip with an attached piezoelectric layer. A theoretical model was developed to predict the strain distribution of the strip’s buckled configuration for calculating the electrical energy generation. Results from an experimental investigation and finite element simulations are in good agreement with the theoretical study. Test results from a prototyped device showed that a peak output power of 1.33 μW/cm2 was generated, which can adequately provide power supply for low-power budget devices. And a parametric study was also conducted to provide design guidance on selecting the dimensions of a device based on the external embedding structure.

scholarly journals Utilization of a magnetic field-driven microscopic motion for piezoelectric energy harvesting

Nanoscale ◽  
2019 ◽  
Vol 11 (43) ◽  
pp. 20527-20533 ◽  
Author(s):  
Sanggon Kim ◽  
Gerardo Ico ◽  
Yaocai Bai ◽  
Steve Yang ◽  
Jung-Ho Lee ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Magnetic Nanoparticles ◽  
Energy Harvesting ◽  
Energy Conversion ◽  
Particle Shape ◽  
Electrical Energy ◽  
Piezoelectric Energy Harvesting ◽  
Dependent Manner ◽  
Piezoelectric Energy

Magneto–mechano–electrical energy conversion in poly(vinylidenefluoride-trifluoroethylene) piezoelectric nanofibers integrated with magnetic nanoparticles in a particle-shape dependent manner.

Topology Optimization of Piezoelectric Energy Harvesting Devices Subjected to Stochastic Excitation

2010 ◽  
Author(s):  
Zheqi Lin ◽  
Hae Chang Gea ◽  
Shutian Liu
Keyword(s):  
Topology Optimization ◽  
Energy Harvesting ◽  
Electrical Energy ◽  
Ambient Vibration ◽  
Piezoelectric Energy Harvesting ◽  
The Past ◽  
Piezoelectric Energy ◽  
Random Responses ◽  
Pseudo Excitation ◽  
Energy Harvesting Devices

Converting ambient vibration energy into electrical energy using piezoelectric energy harvester has attracted much interest in the past decades. In this paper, topology optimization is applied to design the optimal layout of the piezoelectric energy harvesting devices. The objective function is defined as to maximize the energy harvesting performance over a range of ambient vibration frequencies. Pseudo excitation method (PEM) is applied to analyze structural stationary random responses. Sensitivity analysis is derived by the adjoint method. Numerical examples are presented to demonstrate the validity of the proposed approach.

Piezoelectric Energy Harvesting for Powering Micro Electromechanical Systems (MEMS)

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
A. Majeed
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Piezoelectric Materials ◽  
Electrical Energy ◽  
Piezoelectric Energy Harvesting ◽  
Wireless Technology ◽  
Power Devices ◽  
Piezoelectric Energy ◽  
Technical Innovations ◽  
Low Power Electronics

Recent advancements in wireless technology and low power electronics such as micro electrome-chanical systems (MEMS), have created a surge of technical innovations in the eld of energy har-vesting. Piezoelectric materials, which operate on vibrations surrounding the system have becomehighly useful in terms of energy harvesting. Piezoelectricity is the ability to transform mechanicalstrain energy, mostly vibrations, to electrical energy, which can be used to power devices. This paperwill focus on energy harvesting by piezoelectricity and how it can be incorporated into various lowpower devices and explain the ability of piezoelectric materials to function as self-charging devicesthat can continuously supply power to a device and will not require any battery for future processes.

Non-Linear Modeling and Analysis of Composite Helicopter Blade for Piezoelectric Energy Harvesting

2012 ◽  
Author(s):  
Wander G. R. Vieira ◽  
Fred Nitzsche ◽  
Carlos De Marqui
Keyword(s):  
Energy Harvesting ◽  
Electrical Power ◽  
Electrical Energy ◽  
Piezoelectric Energy Harvesting ◽  
Resistive Load ◽  
Linear Modeling ◽  
Modeling And Analysis ◽  
Helicopter Blade ◽  
Piezoelectric Energy ◽  
Non Linear

Converting aeroelastic vibrations into electricity for low-power generation has received growing attention over the past few years. Helicopter blades with embedded piezoelectric elements can provide electrical energy to power small electronic components. In this paper, the non-linear modeling and analysis of an electromechanically coupled cantilevered helicopter blade is presented for piezoelectric energy harvesting. A resistive load is considered in the electrical domain of the problem in order to quantify the electrical power output. The non-linear electromechanical model is derived based on the Variational-Asymptotic Method (VAM). The coupled non-linear rotary system is solved in the time-domain. A generalized-α integration method is used to guarantee numerical stability, adding numerical damping at high frequencies. The electromechanical behavior of the coupled rotating blade is investigated for increasing rotating speeds (stiffening effect).

Circuit Development of Piezoelectric Energy Harvesting Device for Recharging Solid-State Batteries

2012 ◽  
Author(s):  
Yuejuan Li ◽  
Marvin H. Cheng ◽  
Ezzat G. Bakhoum
Keyword(s):  
Solid State ◽  
Energy Density ◽  
Energy Harvesting ◽  
Electrical Energy ◽  
Piezoelectric Energy Harvesting ◽  
Power Sources ◽  
Piezoelectric Energy ◽  
Piezoelectric Elements ◽  
Volume Energy ◽  
Solid State Batteries

Piezoelectric devices have been widely used as a means of transforming ambient vibrations into electrical energy that can be stored and used to power other devices. This type of power generation devices can provide a convenient alternative to traditional power sources used to operate certain types of sensors/actuators, MEMS devices, and microprocessor units. However, the amount of energy produced by these devices is in many cases far too small to directly power an electrical device. Therefore, much of the research into power harvesting has focused on methods of accumulating the energy until a sufficient amount is present, allowing the intended electronics to be powered. Due to the tiny amount of harvestable power from a single device, it is critical to collect vibration energy efficiently. Many research groups have developed various methods to operate the harvesting devices at their resonant frequencies for maximal amount of energy. Different techniques of conversion circuits are also investigated for efficient transformation from mechanical vibration to electrical energy. However, efforts have not been made to the analysis of array configuration of energy harvesting elements. Poor combination of piezoelectric elements, such as phase difference, cannot guarantee the increasing amount of harvested energy. To realize a piezoelectric energy-harvesting device with higher volume energy density, the energy conversion efficiencies of different array configurations were investigated. In the present study, various combinations of piezoelectric elements were analyzed to achieve higher volume energy density. A charging circuit for solid-state batteries with planned energy harvesting strategy was also proposed. With the planned harvesting strategy, the required charging time can be estimated. Thus, the applicable applications can be clearly identified. In this paper, optimal combination of piezoelectric cantilevers and different modes of charging methods were investigated. The results provide a means of choosing the piezoelectric device to be used and estimate the amount of time required to recharge a specific capacity solid-state battery.

Design, Simulation & Optimization of a MEMS Based Piezoelectric Energy Harvester

2021 ◽  
Vol 12 (07) ◽  
pp. 318-329
Author(s):  
Indrajit Chandra Das ◽  
Md. Arafat Rahman ◽  
Sanjoy Dam
Keyword(s):  
Finite Element Method ◽  
Energy Harvesting ◽  
Energy Harvester ◽  
Proof Mass ◽  
Simulation Optimization ◽  
Electrical Energy ◽  
Comsol Multiphysics ◽  
Piezoelectric Energy Harvesting ◽  
The Finite Element Method ◽  
Piezoelectric Energy

Energy harvesting is defined as a process of acquiring energy surrounding a system and converting it into electrical energy for usage. Piezoelectric energy harvesting is a very important concept in energy harvesting in microelectronics. In this report, an analysis of the cantilever type piezoelectric energy harvester is conducted using the finite element method (FEM) based software COMSOL Multiphysics. A unimorph type cantilever beam of the silicon substrate, structural steel as proof mass and support, and PZT-5A material as piezoelectric constitute the physical system.

Piezoelectric Energy Harvesting Analysis Under Non-Stationary Random Vibrations

2013 ◽  
Author(s):  
Heonjun Yoon ◽  
Byeng D. Youn ◽  
Chulmin Cho
Keyword(s):  
Energy Harvesting ◽  
Electric Power ◽  
Output Voltage ◽  
Electrical Energy ◽  
Analytical Models ◽  
Voltage Response ◽  
Time Varying ◽  
Random Vibrations ◽  
Vibration Signals ◽  
Piezoelectric Energy

Energy harvesting (EH), which scavenges electric power from ambient, otherwise wasted, energy sources, has received considerable attention for the purpose of powering wireless sensor networks and low-power electronics. Among ambient energy sources, widely available vibration energy can be converted into electrical energy using piezoelectric materials that generate an electrical potential in response to applied mechanical stress. As a basis for designing a piezoelectric energy harvester, an analytical model should be developed to estimate electric power under a given vibration condition. Many analytical models under the assumption of the deterministic excitation cannot deal with random nature in vibration signals, although the randomness considerably affects variation in harvestable electrical energy. Thus, predictive capability of the analytical models is normally poor under random vibration signals. Such a poor power prediction is mainly caused by the variation of the dominant frequencies and their peak acceleration levels. This paper thus proposes the three-step framework of the stochastic piezoelectric energy harvesting analysis under non-stationary random vibrations. As a first step, the statistical time-frequency analysis using the Wigner-Ville spectrum was used to estimate a time-varying power spectral density (PSD) of an input random excitation. The second step is to employ an existing electromechanical model as a linear operator for calculating the output voltage response. The final step is to estimate a time-varying PSD of the output voltage response from the linear relationship. Then, the expected electric power was estimated from the autocorrelation function that is inverse Fourier transform of the time-varying PSD of the output voltage response. Therefore, the proposed framework can be used to predict the expected electric power under non-stationary random vibrations in a stochastic manner.

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