The University of Southampton
University of Southampton Institutional Repository

On the optimal energy harvesting from a vibration source

On the optimal energy harvesting from a vibration source
On the optimal energy harvesting from a vibration source
The optimization of power acquired from a piezoelectric vibration-based energy harvester which utilizes a harvesting circuit employing an inductor and a resistive load is described. The optimization problem is formulated as a nonlinear program wherein the Karush–Kuhn–Tucker (KKT) conditions are stated and the resulting cases are treated. In the first part of the manuscript, the case of a purely resistive circuit is analyzed. While this configuration has received considerable attention in the literature, previous efforts have neglected the effect of damping on the optimal parameters. Here, we explore the impact of damping on power optimality and illustrate its quantitative and qualitative effects. Further, we analyze the effect of electromechanical coupling demonstrating that the harvested power decreases beyond an optimal coupling coefficient. This result challenges previous literature suggesting that higher coupling coefficients always culminate in more efficient energy harvesters. In the second part of this work, the effect of adding an inductor to the circuit is examined. It is demonstrated that the addition of the inductor provides substantial improvement to the performance of the energy harvesting device. It is also shown that within realistic values of the coupling coefficient, the optimal harvested power is independent of the coupling coefficient; a result that supports previous findings for the purely resistive circuit.
0022-460X
386-405
Renno, Jamil M.
132f3c49-a612-4ccc-8772-293c8e015d1c
Daqaq, Mohammed F.
0f8233ce-20c6-4713-b63b-0eeae69d69e1
Inman, Daniel J.
e7a193c3-1285-415c-9f40-404ce6823a7d
Renno, Jamil M.
132f3c49-a612-4ccc-8772-293c8e015d1c
Daqaq, Mohammed F.
0f8233ce-20c6-4713-b63b-0eeae69d69e1
Inman, Daniel J.
e7a193c3-1285-415c-9f40-404ce6823a7d

Renno, Jamil M., Daqaq, Mohammed F. and Inman, Daniel J. (2009) On the optimal energy harvesting from a vibration source. Journal of Sound and Vibration, 320 (1-2), 386-405. (doi:10.1016/j.jsv.2008.07.029).

Record type: Article

Abstract

The optimization of power acquired from a piezoelectric vibration-based energy harvester which utilizes a harvesting circuit employing an inductor and a resistive load is described. The optimization problem is formulated as a nonlinear program wherein the Karush–Kuhn–Tucker (KKT) conditions are stated and the resulting cases are treated. In the first part of the manuscript, the case of a purely resistive circuit is analyzed. While this configuration has received considerable attention in the literature, previous efforts have neglected the effect of damping on the optimal parameters. Here, we explore the impact of damping on power optimality and illustrate its quantitative and qualitative effects. Further, we analyze the effect of electromechanical coupling demonstrating that the harvested power decreases beyond an optimal coupling coefficient. This result challenges previous literature suggesting that higher coupling coefficients always culminate in more efficient energy harvesters. In the second part of this work, the effect of adding an inductor to the circuit is examined. It is demonstrated that the addition of the inductor provides substantial improvement to the performance of the energy harvesting device. It is also shown that within realistic values of the coupling coefficient, the optimal harvested power is independent of the coupling coefficient; a result that supports previous findings for the purely resistive circuit.

This record has no associated files available for download.

More information

Published date: 6 February 2009
Organisations: Dynamics Group

Identifiers

Local EPrints ID: 71464
URI: http://eprints.soton.ac.uk/id/eprint/71464
ISSN: 0022-460X
PURE UUID: 0450d43a-8f1f-419e-b64e-f2cb489b890f

Catalogue record

Date deposited: 09 Feb 2010
Last modified: 13 Mar 2024 20:27

Export record

Altmetrics

Contributors

Author: Jamil M. Renno
Author: Mohammed F. Daqaq
Author: Daniel J. Inman

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×