Optimisation of a forced multi-beam piezoelectric energy harvester

Lucas Q. Machado, Panagiotis Alevras, Dmitri Tcherniak, Junlei Wang, Shengxi Zhou, Daniil Yurchenko

科研成果: 期刊稿件文章同行评审

8 引用 (Scopus)

摘要

A high-power multi-beam piezoelectric energy harvesting device is designed to meet the demands of the emerging technologies in Body Sensors Networks (BSNs), Wireless Sensors Networks (WSNs), the Internet of Things (IoT) and the Industrial Internet of Things (IIoTs). The proposed device utilises a plucking mechanism to excite the beams, organised in a comb-like structure. The harvester is presented in different length configurations and its performance is optimised to deliver the highest power under a given set of parameter values, constraints, and excitation characteristics. The unique feature of the device is that it can be tuned to any given frequency, although it demonstrates its superior performance in the frequency range of 2–50 Hz, delivering hundreds of mW. The device optimisation is conducted using a harmonic excitation, a harmonic excitation with random phase modulations, experimental vibration data collected using an internal combustion engine, and numerical data from simulations of out-of-plane oscillations of wind turbine blades. The paper proposes solutions to a number of challenges specific for multi-beam structures that have never been addressed before. It is demonstrated for the first time that the proposed harvester is able to meet the demands of relevant sensing applications.

源语言英语
文章编号116257
期刊Energy Conversion and Management
270
DOI
出版状态已出版 - 15 10月 2022

指纹

探究 'Optimisation of a forced multi-beam piezoelectric energy harvester' 的科研主题。它们共同构成独一无二的指纹。

引用此