Orientation, building height and sky view factor as energy efficiency design parameters

Bibliographic Details
Main Author: De Souza, Léa Cristina Lucas [UNESP]
Publication Date: 2007
Other Authors: Yamaguti, Marcio Luis [UNESP]
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://plea-arch.org/ARCHIVE/2007/html/P0166.xml
http://hdl.handle.net/11449/70127
Summary: The energy efficiency of buildings should be a goal at the pre-design phase, though the importance of the design variables is often neglected even during the design process. Highlighting the relevance of these design variables, this research studies the relationships of building location variables with the electrical energy consumption of residential units. The following building design parameters are considered: orientation, story height and sky view factor (SVF). The consideration of the SVF as a location variable contributes to the originality of this research. Data of electrical energy consumption and users' profiles were collected and several variables were considered for the development of an Artificial Neural Network model. This model allows the determination of the relative importance of each variable. The results show that the apartments' orientation is the most important design variable for the energy consumption, although the story height and the sky view factor play a fundamental role in that consumption too. We pointed out that building heights above twenty-four meters do not optimize the energy efficiency of the apartments and also that an increasing SVF can influence the energy consumption of an apartment according to their orientation.
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spelling Orientation, building height and sky view factor as energy efficiency design parametersGISUrban canyonsUrban environmentUrban thermal comfortArtificial neural network modelsBuilding designBuilding heightDesign parametersDesign processDesign variablesElectrical energy consumptionResearch studiesSeveral variablesSky view factorUrban environmentsApartment housesArchitectureEnergy efficiencyEnergy utilizationGeographic information systemsStructural designThe energy efficiency of buildings should be a goal at the pre-design phase, though the importance of the design variables is often neglected even during the design process. Highlighting the relevance of these design variables, this research studies the relationships of building location variables with the electrical energy consumption of residential units. The following building design parameters are considered: orientation, story height and sky view factor (SVF). The consideration of the SVF as a location variable contributes to the originality of this research. Data of electrical energy consumption and users' profiles were collected and several variables were considered for the development of an Artificial Neural Network model. This model allows the determination of the relative importance of each variable. The results show that the apartments' orientation is the most important design variable for the energy consumption, although the story height and the sky view factor play a fundamental role in that consumption too. We pointed out that building heights above twenty-four meters do not optimize the energy efficiency of the apartments and also that an increasing SVF can influence the energy consumption of an apartment according to their orientation.Department of Architecture, Urbanism and Landscape Faculty of Architecture, Arts and Communication São Paulo State University, BauruFaculty of Architecture, Arts and Communication São Paulo State University, BauruDepartment of Architecture, Urbanism and Landscape Faculty of Architecture, Arts and Communication São Paulo State University, BauruFaculty of Architecture, Arts and Communication São Paulo State University, BauruUniversidade Estadual Paulista (Unesp)De Souza, Léa Cristina Lucas [UNESP]Yamaguti, Marcio Luis [UNESP]2014-05-27T11:22:42Z2014-05-27T11:22:42Z2007-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject296-301application/pdfhttp://plea-arch.org/ARCHIVE/2007/html/P0166.xmlSun, Wind and Architecture - The Proceedings of the 24th International Conference on Passive and Low Energy Architecture, PLEA 2007, p. 296-301.http://hdl.handle.net/11449/701272-s2.0-848641429132-s2.0-84864142913.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSun, Wind and Architecture - The Proceedings of the 24th International Conference on Passive and Low Energy Architecture, PLEA 2007info:eu-repo/semantics/openAccess2024-04-16T19:24:29Zoai:repositorio.unesp.br:11449/70127Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-16T19:24:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Orientation, building height and sky view factor as energy efficiency design parameters
title Orientation, building height and sky view factor as energy efficiency design parameters
spellingShingle Orientation, building height and sky view factor as energy efficiency design parameters
De Souza, Léa Cristina Lucas [UNESP]
GIS
Urban canyons
Urban environment
Urban thermal comfort
Artificial neural network models
Building design
Building height
Design parameters
Design process
Design variables
Electrical energy consumption
Research studies
Several variables
Sky view factor
Urban environments
Apartment houses
Architecture
Energy efficiency
Energy utilization
Geographic information systems
Structural design
title_short Orientation, building height and sky view factor as energy efficiency design parameters
title_full Orientation, building height and sky view factor as energy efficiency design parameters
title_fullStr Orientation, building height and sky view factor as energy efficiency design parameters
title_full_unstemmed Orientation, building height and sky view factor as energy efficiency design parameters
title_sort Orientation, building height and sky view factor as energy efficiency design parameters
author De Souza, Léa Cristina Lucas [UNESP]
author_facet De Souza, Léa Cristina Lucas [UNESP]
Yamaguti, Marcio Luis [UNESP]
author_role author
author2 Yamaguti, Marcio Luis [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv De Souza, Léa Cristina Lucas [UNESP]
Yamaguti, Marcio Luis [UNESP]
dc.subject.por.fl_str_mv GIS
Urban canyons
Urban environment
Urban thermal comfort
Artificial neural network models
Building design
Building height
Design parameters
Design process
Design variables
Electrical energy consumption
Research studies
Several variables
Sky view factor
Urban environments
Apartment houses
Architecture
Energy efficiency
Energy utilization
Geographic information systems
Structural design
topic GIS
Urban canyons
Urban environment
Urban thermal comfort
Artificial neural network models
Building design
Building height
Design parameters
Design process
Design variables
Electrical energy consumption
Research studies
Several variables
Sky view factor
Urban environments
Apartment houses
Architecture
Energy efficiency
Energy utilization
Geographic information systems
Structural design
description The energy efficiency of buildings should be a goal at the pre-design phase, though the importance of the design variables is often neglected even during the design process. Highlighting the relevance of these design variables, this research studies the relationships of building location variables with the electrical energy consumption of residential units. The following building design parameters are considered: orientation, story height and sky view factor (SVF). The consideration of the SVF as a location variable contributes to the originality of this research. Data of electrical energy consumption and users' profiles were collected and several variables were considered for the development of an Artificial Neural Network model. This model allows the determination of the relative importance of each variable. The results show that the apartments' orientation is the most important design variable for the energy consumption, although the story height and the sky view factor play a fundamental role in that consumption too. We pointed out that building heights above twenty-four meters do not optimize the energy efficiency of the apartments and also that an increasing SVF can influence the energy consumption of an apartment according to their orientation.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-01
2014-05-27T11:22:42Z
2014-05-27T11:22:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://plea-arch.org/ARCHIVE/2007/html/P0166.xml
Sun, Wind and Architecture - The Proceedings of the 24th International Conference on Passive and Low Energy Architecture, PLEA 2007, p. 296-301.
http://hdl.handle.net/11449/70127
2-s2.0-84864142913
2-s2.0-84864142913.pdf
url http://plea-arch.org/ARCHIVE/2007/html/P0166.xml
http://hdl.handle.net/11449/70127
identifier_str_mv Sun, Wind and Architecture - The Proceedings of the 24th International Conference on Passive and Low Energy Architecture, PLEA 2007, p. 296-301.
2-s2.0-84864142913
2-s2.0-84864142913.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sun, Wind and Architecture - The Proceedings of the 24th International Conference on Passive and Low Energy Architecture, PLEA 2007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 296-301
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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