Statistical methods applied to optimize perforated façade design for daylight availability

Perforated solar screens (PSS) are an important consideration in building façade design due to its contribution to sustainability through daylighting. PSS design requires the consideration of many potential design alternatives that involves a large number of simulations. This paper presents a method...

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Detalles Bibliográficos
Autores: Chi, Doris A., Moreno-Rangel, David, Navarro Casas, Jaime
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/159773
Acceso en línea:https://hdl.handle.net/11441/159773
https://doi.org/10.1061/(ASCE)AE.1943-5568.0000339
Access Level:acceso abierto
Palabra clave:Daylit area
Listing method
Orthogonal method
Perforated façade design
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spelling Statistical methods applied to optimize perforated façade design for daylight availabilityChi, Doris A.Moreno-Rangel, DavidNavarro Casas, JaimeDaylit areaListing methodOrthogonal methodPerforated façade designPerforated solar screens (PSS) are an important consideration in building façade design due to its contribution to sustainability through daylighting. PSS design requires the consideration of many potential design alternatives that involves a large number of simulations. This paper presents a methodology in which the orthogonal and listing methods are integrated to predict a set of optimum PSS design variables to enhance the Daylight Availability in office buildings located in Seville, Spain. An orthogonal array is selected to perform a transverse comparison of the simulation factors mean effects and to find their statistical significance. Then, a standard level is fixed and used for further detailed analysis of a greater number of factor levels, measuring their daylighting contributions. The main advantage of the integrated method is the reduction of the number of simulations from 720 to 32, so it could save time considerably and would help designers to make early-design-stage decisions. With the optimization, the actual daylit area increased by 29-57% and the over lit area reduced by 36-57%, relative to reference models with no PSS.American Society of Civil EngineersConstrucciones Arquitectónicas ITEP130: Arquitectura, Patrimonio y Sostenibilidad: Acústica, Iluminación, Óptica y EnergíaUniversidad de SevillaConsejo Nacional de Ciencia y Tecnología (CONACYT). México2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/159773https://doi.org/10.1061/(ASCE)AE.1943-5568.0000339reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)Inglésournal of Architectural Engineering, 25 (1), 04018034-1-04018034-18.https://ascelibrary.org/doi/10.1061/%28ASCE%29AE.1943-5568.0000339info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1597732026-06-17T12:51:07Z
dc.title.none.fl_str_mv Statistical methods applied to optimize perforated façade design for daylight availability
title Statistical methods applied to optimize perforated façade design for daylight availability
spellingShingle Statistical methods applied to optimize perforated façade design for daylight availability
Chi, Doris A.
Daylit area
Listing method
Orthogonal method
Perforated façade design
title_short Statistical methods applied to optimize perforated façade design for daylight availability
title_full Statistical methods applied to optimize perforated façade design for daylight availability
title_fullStr Statistical methods applied to optimize perforated façade design for daylight availability
title_full_unstemmed Statistical methods applied to optimize perforated façade design for daylight availability
title_sort Statistical methods applied to optimize perforated façade design for daylight availability
dc.creator.none.fl_str_mv Chi, Doris A.
Moreno-Rangel, David
Navarro Casas, Jaime
author Chi, Doris A.
author_facet Chi, Doris A.
Moreno-Rangel, David
Navarro Casas, Jaime
author_role author
author2 Moreno-Rangel, David
Navarro Casas, Jaime
author2_role author
author
dc.contributor.none.fl_str_mv Construcciones Arquitectónicas I
TEP130: Arquitectura, Patrimonio y Sostenibilidad: Acústica, Iluminación, Óptica y Energía
Universidad de Sevilla
Consejo Nacional de Ciencia y Tecnología (CONACYT). México
dc.subject.none.fl_str_mv Daylit area
Listing method
Orthogonal method
Perforated façade design
topic Daylit area
Listing method
Orthogonal method
Perforated façade design
description Perforated solar screens (PSS) are an important consideration in building façade design due to its contribution to sustainability through daylighting. PSS design requires the consideration of many potential design alternatives that involves a large number of simulations. This paper presents a methodology in which the orthogonal and listing methods are integrated to predict a set of optimum PSS design variables to enhance the Daylight Availability in office buildings located in Seville, Spain. An orthogonal array is selected to perform a transverse comparison of the simulation factors mean effects and to find their statistical significance. Then, a standard level is fixed and used for further detailed analysis of a greater number of factor levels, measuring their daylighting contributions. The main advantage of the integrated method is the reduction of the number of simulations from 720 to 32, so it could save time considerably and would help designers to make early-design-stage decisions. With the optimization, the actual daylit area increased by 29-57% and the over lit area reduced by 36-57%, relative to reference models with no PSS.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/159773
https://doi.org/10.1061/(ASCE)AE.1943-5568.0000339
url https://hdl.handle.net/11441/159773
https://doi.org/10.1061/(ASCE)AE.1943-5568.0000339
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv ournal of Architectural Engineering, 25 (1), 04018034-1-04018034-18.
https://ascelibrary.org/doi/10.1061/%28ASCE%29AE.1943-5568.0000339
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Society of Civil Engineers
publisher.none.fl_str_mv American Society of Civil Engineers
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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