Publication:
Ultra-low frequency multidirectional harvester for wind turbines

Consultable a partir de

Date

2023

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/
Gobierno de Navarra//0011-1365-2021-000199

Abstract

In this paper we propose, and demonstrate through a prototype, a completely novel device able to harvest mechanical energy from the multidirectional vibrations in a wind turbine, and convert it into electrical, to power autonomous sensors. The application is very challenging since vibrations are of ultra-low frequency, well below 1 Hz, with accelerations of tenths of cm/s2 (0.01 g), and the device must capture energy from the movement in any direction. According to our experiments, the device is capable to generate average powers around the milliwatt in the operation conditions of a wind turbine, which are enough for some very-low power sensor nodes, or at least to considerably extend the life-time of batteries. The device is based on the principle of moving (inertial) masses comprised of magnets in Hallbach arrays interacting with coils, and can work for movements on any direction of a plane. To the best of our knowledge, this is the first device specifically proposed for wind turbines and one of the few that work in such low frequencies, and capture energy from movements on any direction on a plane. Only three harvesters proposed in the literature, intended for distinct applications, can work at such low frequencies, and our device exhibits a better efficiency. Though comparisons with harvesters working in different contexts and, even using different conversion principles, is not completely fair, we make in this paper a comparison to the closest ones, resorting to two different figures of merit.

Keywords

Energy harvesting, Vibration-to-electrical energy conversion, Electromagnetic transduction, Ultra-low frequency, Autonomous sensors, Wind turbines

Department

Ingeniería / Ingeniería Eléctrica, Electrónica y de Comunicación / Institute of Smart Cities - ISC / Ingeniaritza / Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This work has been supported by the Spanish Research Agency under grant AEI/FEDER, PID2019-107258RB-C32, and also by the Government of Navarre (Dpt. of Economic and Business Development) under grant 0011-1365-2021-000199. The open access of this paper has been funded by the Universidad Publica de Navarra.

© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.

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