An efficient and effective energy harvesting system using surface micromachined accelerometer

Abstract

In many of the electronic devices the major role is performed by micro-electro-mechanical systems (MEMS). The electronics field has a vast application where in MEMS contribution to this field is very much greater. The electronics has a greater application in the area of micro-electro-mechanical systems which has greater applications in biomedical, electronics. The capacity, sensitivity in the power and its size helps MEMS for various different applications in different fields. If a device has a greater resonant frequency which can also be used in all frequencies that is at normal frequencies wider bandwidth, then also the MEMS fabrication can be done. A surface micromachined accelerometer is analyzed which can be used for generating energy from the environment. The characteristic feature is analyzed for the surface micromachined accelerometer. A surface micromachined accelerometer is simulate with a geometry of 3 space dimensions with a domain number of 120 whose number of boundaries are 838 which contains 1733 number of edges with 1076 vertices. The surface micromachined accelerator with all these specifications is simulate using COMSOL and the performance has been analyzed for various parameters namely frequency, acceleration and load impedance. The results show that energy has been harvested using the surface micromachined accelerometer.

A review of the state of art and prospects in energy storage systems for energy harvesting applications

“…The flywheel energy storage (FES) system stores electrical energy in the form of rotating kinetic energy [19]- [21]. This system exemplifies the mechanical system that has a quick response and is hence known ISSN: 2252-8814  as the FES system.…”

“…Energy harvesting is a technique that captures, harvests, or scavenges various unused or ambient sources of energy e.g., sun, heat, vibration, and wind, into electrical energy [1]- [44]. Sources for energy harvesting are divided into large scales such as solar PV [6], [13], [15], [33], [39], [45], [46], wind [46]- [50], tidal [30], [51], and geothermal [35], [40], [52], [53], and then on a small scale such as electromagnetic [6], [9], [32], mechanical [19], [37], [54], [55], and heat [2], [15], [24], [56], [57]. However, in recent years, largescale energy harvesting has been more widely viewed and developed.…”

Efficient number theoretic transform accelerator for CRYSTALS-Kyber

“…Accelerating hardware algorithm has many applications and applies to different platforms such as Xilinx field programmable gate array (FPGA) and application specific integrated circuit (ASIC) [10]- [13]. Paludo and Sousa [14] integrated their butterfly unit to a 5-stage pipeline linux-ready RISC-V.…”

An efficient hybrid biomechanical energy harvesting system using human motions for low-power applications

“…The work investigates EM background, coil-magnet structure, optimization methods, design parameters, implementation procedures, and performance analysis. The recent work on energy harvestings includes radio-frequency based EHS for IoT applications [28], half-duplex EHS for network security [29], vision based solar tracking system using EHS [30] and micro-electro-mechanical system (MEMS) [31].…”