Small scale wind energy harvesting with maximum power tracking
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
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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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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1799129925162106880 |