Environmental benchmarking of building typologies through BIM-based combinatorial case studies

Integrated life-cycle assessment (LCA) tools have emerged as decision-making support for BIM practitioners during the design stage of sustainable projects. However, differences between methodologies applied for determining the environmental impact of buildings produce significant variations in the r...

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Detalles Bibliográficos
Autores: Martínez Rocamora, Alejandro, Rivera Gómez, C., Galán Marín, C., Marrero Meléndez, Madelyn
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Consejo General de la Arquitectura Técnica de España (CGATE)
Repositorio:RIARTE
OAI Identifier:oai:www.riarte.es:20.500.12251/2562
Acceso en línea:http://hdl.handle.net/20.500.12251/2562
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116075826&doi=10.1016%2fj.autcon.2021.103980&partnerID=40&md5=097b1fc6b7444b9db7078dafe97b3148
Access Level:acceso abierto
Palabra clave:Building Information Modeling (BIM)
Impacto medioambiental
Ciclo de vida de edificación
Proyectos de edificación
Sostenibilidad
Edificación residencial
Algoritmos
3305.14 Viviendas
3311.02 Ingeniería de Control
1203.09 Diseño Con Ayuda del Ordenador
3308.04 Ingeniería de la Contaminación
3305.01 Diseño Arquitectónico
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spelling Environmental benchmarking of building typologies through BIM-based combinatorial case studiesMartínez Rocamora, AlejandroRivera Gómez, C.Galán Marín, C.Marrero Meléndez, MadelynBuilding Information Modeling (BIM)Impacto medioambientalCiclo de vida de edificaciónProyectos de edificaciónSostenibilidadEdificación residencialAlgoritmos3305.14 Viviendas3311.02 Ingeniería de Control1203.09 Diseño Con Ayuda del Ordenador3308.04 Ingeniería de la Contaminación3305.01 Diseño ArquitectónicoIntegrated life-cycle assessment (LCA) tools have emerged as decision-making support for BIM practitioners during the design stage of sustainable projects. However, differences between methodologies applied for determining the environmental impact of buildings produce significant variations in the results obtained, making them difficult to be compared. In this study, a methodology is defined for generating environmental benchmarks for building typologies through a combination of BIM-based LCA tools and machine learning techniques. When applied to an 11-story residential building typology with 92 dwellings by varying the constructive solutions of façades, partitions, roof and thermal insulation materials, results fall within a range from 360 to 430 kgCO2eq/m2. The Random Forest (RF) algorithm is successfully applied for identifying the most decisive variables in the analysis (partitions and façades), and shows signs of being useful for predicting the environmental impact of future constructions and to be applied to the analysis of greater scale urban zones. © 2021 The AuthorsElsevier B.V.2021info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12251/2562https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116075826&doi=10.1016%2fj.autcon.2021.103980&partnerID=40&md5=097b1fc6b7444b9db7078dafe97b3148reponame:RIARTEinstname:Consejo General de la Arquitectura Técnica de España (CGATE)Ingléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:www.riarte.es:20.500.12251/25622026-06-02T12:44:41Z
dc.title.none.fl_str_mv Environmental benchmarking of building typologies through BIM-based combinatorial case studies
title Environmental benchmarking of building typologies through BIM-based combinatorial case studies
spellingShingle Environmental benchmarking of building typologies through BIM-based combinatorial case studies
Martínez Rocamora, Alejandro
Building Information Modeling (BIM)
Impacto medioambiental
Ciclo de vida de edificación
Proyectos de edificación
Sostenibilidad
Edificación residencial
Algoritmos
3305.14 Viviendas
3311.02 Ingeniería de Control
1203.09 Diseño Con Ayuda del Ordenador
3308.04 Ingeniería de la Contaminación
3305.01 Diseño Arquitectónico
title_short Environmental benchmarking of building typologies through BIM-based combinatorial case studies
title_full Environmental benchmarking of building typologies through BIM-based combinatorial case studies
title_fullStr Environmental benchmarking of building typologies through BIM-based combinatorial case studies
title_full_unstemmed Environmental benchmarking of building typologies through BIM-based combinatorial case studies
title_sort Environmental benchmarking of building typologies through BIM-based combinatorial case studies
dc.creator.none.fl_str_mv Martínez Rocamora, Alejandro
Rivera Gómez, C.
Galán Marín, C.
Marrero Meléndez, Madelyn
author Martínez Rocamora, Alejandro
author_facet Martínez Rocamora, Alejandro
Rivera Gómez, C.
Galán Marín, C.
Marrero Meléndez, Madelyn
author_role author
author2 Rivera Gómez, C.
Galán Marín, C.
Marrero Meléndez, Madelyn
author2_role author
author
author
dc.subject.none.fl_str_mv Building Information Modeling (BIM)
Impacto medioambiental
Ciclo de vida de edificación
Proyectos de edificación
Sostenibilidad
Edificación residencial
Algoritmos
3305.14 Viviendas
3311.02 Ingeniería de Control
1203.09 Diseño Con Ayuda del Ordenador
3308.04 Ingeniería de la Contaminación
3305.01 Diseño Arquitectónico
topic Building Information Modeling (BIM)
Impacto medioambiental
Ciclo de vida de edificación
Proyectos de edificación
Sostenibilidad
Edificación residencial
Algoritmos
3305.14 Viviendas
3311.02 Ingeniería de Control
1203.09 Diseño Con Ayuda del Ordenador
3308.04 Ingeniería de la Contaminación
3305.01 Diseño Arquitectónico
description Integrated life-cycle assessment (LCA) tools have emerged as decision-making support for BIM practitioners during the design stage of sustainable projects. However, differences between methodologies applied for determining the environmental impact of buildings produce significant variations in the results obtained, making them difficult to be compared. In this study, a methodology is defined for generating environmental benchmarks for building typologies through a combination of BIM-based LCA tools and machine learning techniques. When applied to an 11-story residential building typology with 92 dwellings by varying the constructive solutions of façades, partitions, roof and thermal insulation materials, results fall within a range from 360 to 430 kgCO2eq/m2. The Random Forest (RF) algorithm is successfully applied for identifying the most decisive variables in the analysis (partitions and façades), and shows signs of being useful for predicting the environmental impact of future constructions and to be applied to the analysis of greater scale urban zones. © 2021 The Authors
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12251/2562
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116075826&doi=10.1016%2fj.autcon.2021.103980&partnerID=40&md5=097b1fc6b7444b9db7078dafe97b3148
url http://hdl.handle.net/20.500.12251/2562
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116075826&doi=10.1016%2fj.autcon.2021.103980&partnerID=40&md5=097b1fc6b7444b9db7078dafe97b3148
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:RIARTE
instname:Consejo General de la Arquitectura Técnica de España (CGATE)
instname_str Consejo General de la Arquitectura Técnica de España (CGATE)
reponame_str RIARTE
collection RIARTE
repository.name.fl_str_mv
repository.mail.fl_str_mv
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