Comparison of modeling methods and parametric study for a piezoelectric wind energy harvester

Liya Zhao, Lihua Tang, Yaowen Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

186 Citations (Scopus)

Abstract

Harvesting flow energy by exploiting transverse galloping of a bluff body attached to a piezoelectric cantilever is a prospective method to power wireless sensing systems. In order to better understand the electroaeroelastic behavior and further improve the galloping piezoelectric energy harvester (GPEH), an effective analytical model is required, which needs to incorporate both the electromechanical coupling and the aerodynamic force. Available electromechanical models for the GPEH include the lumped parameter single-degree-of-freedom (SDOF) model, the approximated distributed parameter model based on Rayleigh-Ritz discretization, and the distributed parameter model with Euler-Bernoulli beam representation. Each modeling method has its own advantages. The corresponding aerodynamic models are formulated using quasi-steady hypothesis (QSH). In this paper, the SDOF model, the Euler-Bernoulli distributed parameter model using single mode and the Euler-Bernoulli distributed parameter model using multi-modes are compared and validated with experimental results. Based on the comparison and validation, the most effective model is employed for the subsequent parametric study. The effects of load resistance, wind exposure area of the bluff body, mass of the bluff body and length of the piezoelectric sheets on the power output are investigated. These simulations can be exploited for designing and optimizing GPEHs for better performance.

Original languageEnglish
Article number125003
JournalSmart Materials and Structures
Volume22
Issue number12
DOIs
Publication statusPublished - Dec 2013
Externally publishedYes

ASJC Scopus Subject Areas

  • Signal Processing
  • Civil and Structural Engineering
  • Atomic and Molecular Physics, and Optics
  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Comparison of modeling methods and parametric study for a piezoelectric wind energy harvester'. Together they form a unique fingerprint.

Cite this