Ultra-low frequency multidirectional harvester for wind turbines

dc.contributor.authorCastellano Aldave, Jesús Carlos
dc.contributor.authorCarlosena García, Alfonso
dc.contributor.authorIriarte Goñi, Xabier
dc.contributor.authorPlaza Puértolas, Aitor
dc.contributor.departmentIngenieríaes_ES
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2023-04-26T15:49:44Z
dc.date.available2023-04-26T15:49:44Z
dc.date.issued2023
dc.date.updated2023-04-26T15:43:46Z
dc.description.abstractIn 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.en
dc.description.sponsorshipThis 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.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCastellano-Aldave, C., Carlosena, A., Iriarte, X., & Plaza, A. (2023). Ultra-low frequency multidirectional harvester for wind turbines. Applied Energy, 334, 120715. https://doi.org/10.1016/j.apenergy.2023.120715en
dc.identifier.doi10.1016/j.apenergy.2023.120715
dc.identifier.issn0306-2619
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45179
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofApplied Energy 334 (2023) 120715en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2021-000199/
dc.relation.publisherversionhttps://doi.org/10.1016/j.apenergy.2023.120715
dc.rights© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEnergy harvestingen
dc.subjectVibration-to-electrical energy conversionen
dc.subjectElectromagnetic transductionen
dc.subjectUltra-low frequencyen
dc.subjectAutonomous sensorsen
dc.subjectWind turbinesen
dc.titleUltra-low frequency multidirectional harvester for wind turbinesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublicatione7d5cd2e-5e19-4ef9-ba9b-7e3505379d96
relation.isAuthorOfPublication236809d6-78a4-4e83-b534-b3981785886e
relation.isAuthorOfPublication.latestForDiscovery5496a010-31bd-4211-ab51-c8f575a8545e

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