Simulation, Fuzzy Analysis and Development of ZnO Nanostructure-based Piezoelectric MEMS Energy Harvester

Basit Ali,Muhammad Ashraf,Shahzadi Tayyaba

doi:10.3390/en12050807

Basit Ali, Muhammad Ashraf + Show 1 more

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https://doi.org/10.3390/en12050807

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Abstract

Fuzzy logic-based control systems are widely used in various fields like home appliances, medical instruments, automobiles, textile machinery, agriculture equipment and aviation for process control and data analysis. Fuzzy logic technique has shown great potential to solve the complex problems of physical world due to similarity with human understanding. Its advancements have gained widespread attention in different research areas. In several cases, it is very suitable for electronic devices which need to be precisely self-powered. In this work, an ANSYS-based simulation, fuzzy analysis, development and testing of a microelectromechanical system (MEMS)-based energy harvester have been presented. Zinc oxide (ZnO) nano rods were synthesized on an anodic aluminum oxide (AAO) template to form the MEMS energy harvester and study the effect of energy generation by applying force. The power of 5.16 nano Watts has been obtained by taking the numerical value of voltage (Voc) and current (Isc) as 3.16 mV and 0.985 µA respectively using fuzzy logic tool. Experimental testing of the harvester shows that the range of Voc is 3–6.4 mV and Isc is 0.45–1.5 μA. The results depict that this device can be used for touch screens to generate energy that can be further utilized for charging smart devices.

Highlights

Energy harvesting utilizes energy sources like surrounding temperature, pulsation, the flow of air, solar power, thermal energy, wind energy and piezoelectric sources
It is reported that the asymmetrical MPPT algorithm for photovoltaic systems used the fuzzy logic controller MPPT method, and transient time and trailing accuracy were enhanced by 42.8% and 0.06%, separately [30]
The harvester was a combination of Zinc oxide (ZnO) nano-rods fabricated on an anodized aluminum oxide template with accurate patterned growth of the nanostructures

Summary

Introduction

Energy harvesting utilizes energy sources like surrounding temperature, pulsation, the flow of air, solar power, thermal energy, wind energy and piezoelectric sources. Fuzzy systems are rule-based, which depends on the real understanding of the worker [1]. Smart energy harvesters have achieved enormous attention These systems are mainly comprised of piezo material. The piezoelectric sensors are mostly used to detect mechanical energy (in the form of pressure, force, or vibration) applied to a material that can be further converted to electrical energy [2] This mechanism of generation of electrical energy can be further utilized in touchpad and cell-phone charging, smart communication devices, laptops and tablets. Energies 2019, 12, 807 the development of the energy harvester The deviations of these constraints are based on numerous important factors, and constraints one of themare includes thenumerous physical properties of the material.

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