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A technical review of building-mounted wind power systems and a sample simulation model

dc.contributor.authorSAĞLAM, ŞAFAK
dc.contributor.authorsAyhan D., Saǧlam A.
dc.date.accessioned2022-03-15T02:09:42Z
dc.date.available2022-03-15T02:09:42Z
dc.date.issued2012
dc.description.abstractSmall scale wind turbines installed within the built environment is classified as micro generation technology. This paper reports the investigation results of wind power application in buildings. First, general information is given for common type of wind turbines are used on buildings. Second, the wind aerodynamics and wind flows over the buildings are investigated based on local meteorological data and local building characteristics. However, to receive the highest potential wind energy resource and avoid turbulent areas, the tool of Computational Fluid Dynamics (CFD) has to be used to model the annual wind flows over buildings to help analyze, locate, and design wind turbines on and around buildings. Three different sample models for buildings and rural residential areas are explained with CFD models. © 2011 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.rser.2011.09.028
dc.identifier.issn13640321
dc.identifier.urihttps://hdl.handle.net/11424/247265
dc.language.isoeng
dc.relation.ispartofRenewable and Sustainable Energy Reviews
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBuilding-mounted
dc.subjectCFD
dc.subjectHorizontal axis
dc.subjectMicro-wind
dc.subjectVertical axis
dc.subjectWind power
dc.titleA technical review of building-mounted wind power systems and a sample simulation model
dc.typereview
dspace.entity.typePublication
local.avesis.id16feab1a-8e41-433b-8128-75ca0a9971ef
local.import.packageSS21
local.import.sourceScopus
local.indexed.atSCOPUS
oaire.citation.endPage1049
oaire.citation.issue1
oaire.citation.startPage1040
oaire.citation.titleRenewable and Sustainable Energy Reviews
oaire.citation.volume16
relation.isAuthorOfPublication626969d4-2bdf-49c1-a214-cc9bf82c5b67
relation.isAuthorOfPublication.latestForDiscovery626969d4-2bdf-49c1-a214-cc9bf82c5b67

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