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Small scale wind energy harvesting with maximum power tracking

2015Journal article Open access
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dc.contributor.authorAzevedo, Joaquim
dc.contributor.authorMendonça, Fábio
dc.date.accessioned2019-10-21T14:52:13Z
dc.date.available2019-10-21T14:52:13Z
dc.date.issued2015
dc.description.abstractIt is well-known that energy harvesting from wind can be used to power remote monitoring systems. There are several studies that use wind energy in small-scale systems, mainly with wind turbine vertical axis. However, there are very few studies with actual implementations of small wind turbines. This paper compares the performance of horizontal and vertical axis wind turbines for energy harvesting on wireless sensor network applications. The problem with the use of wind energy is that most of the time the wind speed is very low, especially at urban areas. Therefore, this work includes a study on the wind speed distribution in an urban environment and proposes a controller to maximize the energy transfer to the storage systems. The generated power is evaluated by simulation and experimentally for different load and wind conditions. The results demonstrate the increase in efficiency of wind generators that use maximum power transfer tracking, even at low wind speeds.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAzevedo, J., & Mendonça, F. (2015). Small scale wind energy harvesting with maximum power tracking. AIMS Energy, 3(3), 297-315.pt_PT
dc.identifier.doi10.3934/energy.2015.3.297pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2571
dc.language.isoengpt_PT
dc.publisherAIMS Presspt_PT
dc.subjectEnergy harvestingpt_PT
dc.subjectWind energypt_PT
dc.subjectHorizontal axis wind turbine (HAWT)pt_PT
dc.subjectVertical axis wind turbine (VAWT)pt_PT
dc.subjectMaximum power point trackingpt_PT
dc.subjectSimulationpt_PT
dc.subjectExperimental setuppt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleSmall scale wind energy harvesting with maximum power trackingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FMAT%2FUI0219%2F2014/PT
oaire.citation.endPage315pt_PT
oaire.citation.startPage297pt_PT
oaire.citation.titleAIMS Energypt_PT
oaire.citation.volume3(3)pt_PT
oaire.fundingStream5876
person.familyNameAzevedo
person.familyNameSilva Mendonça
person.givenNameJoaquim
person.givenNameFábio Rúben
person.identifier1622144
person.identifier.ciencia-idD417-D5FC-FAC3
person.identifier.ciencia-id7F1E-8AE9-3098
person.identifier.orcid0000-0002-9060-7476
person.identifier.orcid0000-0002-5107-3248
person.identifier.ridN-4211-2013
person.identifier.scopus-author-id9243995600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication0dbad4bf-3a0c-4c43-8022-42199a5e09c0
relation.isAuthorOfPublication.latestForDiscovery0dbad4bf-3a0c-4c43-8022-42199a5e09c0
relation.isProjectOfPublication9ffee3d5-f60d-4e31-a889-9f95c3d75660
relation.isProjectOfPublication.latestForDiscovery9ffee3d5-f60d-4e31-a889-9f95c3d75660

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