Small scale wind energy harvesting with maximum power tracking

Detalhes bibliográficos
Autor(a) principal: Azevedo, Joaquim
Data de Publicação: 2015
Outros Autores: Mendonça, Fábio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.13/2571
Resumo: It 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.
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spelling Small scale wind energy harvesting with maximum power trackingEnergy harvestingWind energyHorizontal axis wind turbine (HAWT)Vertical axis wind turbine (VAWT)Maximum power point trackingSimulationExperimental setup.Faculdade de Ciências Exatas e da EngenhariaIt 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.AIMS PressDigitUMaAzevedo, JoaquimMendonça, Fábio2019-10-21T14:52:13Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/2571engAzevedo, J., & Mendonça, F. (2015). Small scale wind energy harvesting with maximum power tracking. AIMS Energy, 3(3), 297-315.10.3934/energy.2015.3.297info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-11T04:56:31Zoai:digituma.uma.pt:10400.13/2571Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:05:21.423798Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Small scale wind energy harvesting with maximum power tracking
title Small scale wind energy harvesting with maximum power tracking
spellingShingle Small scale wind energy harvesting with maximum power tracking
Azevedo, Joaquim
Energy harvesting
Wind energy
Horizontal axis wind turbine (HAWT)
Vertical axis wind turbine (VAWT)
Maximum power point tracking
Simulation
Experimental setup
.
Faculdade de Ciências Exatas e da Engenharia
title_short Small scale wind energy harvesting with maximum power tracking
title_full Small scale wind energy harvesting with maximum power tracking
title_fullStr Small scale wind energy harvesting with maximum power tracking
title_full_unstemmed Small scale wind energy harvesting with maximum power tracking
title_sort Small scale wind energy harvesting with maximum power tracking
author Azevedo, Joaquim
author_facet Azevedo, Joaquim
Mendonça, Fábio
author_role author
author2 Mendonça, Fábio
author2_role author
dc.contributor.none.fl_str_mv DigitUMa
dc.contributor.author.fl_str_mv Azevedo, Joaquim
Mendonça, Fábio
dc.subject.por.fl_str_mv Energy harvesting
Wind energy
Horizontal axis wind turbine (HAWT)
Vertical axis wind turbine (VAWT)
Maximum power point tracking
Simulation
Experimental setup
.
Faculdade de Ciências Exatas e da Engenharia
topic Energy harvesting
Wind energy
Horizontal axis wind turbine (HAWT)
Vertical axis wind turbine (VAWT)
Maximum power point tracking
Simulation
Experimental setup
.
Faculdade de Ciências Exatas e da Engenharia
description It 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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2019-10-21T14:52:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.13/2571
url http://hdl.handle.net/10400.13/2571
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Azevedo, J., & Mendonça, F. (2015). Small scale wind energy harvesting with maximum power tracking. AIMS Energy, 3(3), 297-315.
10.3934/energy.2015.3.297
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv AIMS Press
publisher.none.fl_str_mv AIMS Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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