Environmental and cost life-cycle approach to support selection of windows in early stages of building design
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10316/103180 https://doi.org/10.1016/j.jclepro.2022.132624 |
Resumo: | The selection of windows with the lowest life-cycle environmental impacts in an early-design stage is important to minimize impacts of buildings. Hence, an environmental and cost streamlined life-cycle assessment (LCA) approach, incorporating probabilistic triage, has been developed to support early-decision making for selection of window materials and components. This approach permits also to reduce the uncertainty in the estimated results by means of sequentially specifying attributes based on the attribute ranking. For demonstration purposes, a large number of window alternatives has been assessed for a reference office room. This approach proved to be effective in providing robust results to support the selection of windows by specifying very few window-related attributes (less than 8). The attribute ranking results show that the most influential attributes in terms of cost and environmental LCA are window-to-wall ratio and orientation, respectively. Future market window solutions with a wide range of alternative materials and components, impacting thermal transmittance and solar factor values, can be assessed using this approach to find optimal cost and environmental performance of buildings. |
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Environmental and cost life-cycle approach to support selection of windows in early stages of building designWindowsEarly-stage decisionsLife-cycle assessmentLife-cycle costProbabilistic triageThe selection of windows with the lowest life-cycle environmental impacts in an early-design stage is important to minimize impacts of buildings. Hence, an environmental and cost streamlined life-cycle assessment (LCA) approach, incorporating probabilistic triage, has been developed to support early-decision making for selection of window materials and components. This approach permits also to reduce the uncertainty in the estimated results by means of sequentially specifying attributes based on the attribute ranking. For demonstration purposes, a large number of window alternatives has been assessed for a reference office room. This approach proved to be effective in providing robust results to support the selection of windows by specifying very few window-related attributes (less than 8). The attribute ranking results show that the most influential attributes in terms of cost and environmental LCA are window-to-wall ratio and orientation, respectively. Future market window solutions with a wide range of alternative materials and components, impacting thermal transmittance and solar factor values, can be assessed using this approach to find optimal cost and environmental performance of buildings.2022-062024-05-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/103180http://hdl.handle.net/10316/103180https://doi.org/10.1016/j.jclepro.2022.132624engSaadatian, ShivaRodrigues, CarlaFreire, FaustoSimões, Nunoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-27T11:09:46Zoai:estudogeral.uc.pt:10316/103180Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:20:03.408959Repositório 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 |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
title |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
spellingShingle |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design Saadatian, Shiva Windows Early-stage decisions Life-cycle assessment Life-cycle cost Probabilistic triage |
title_short |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
title_full |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
title_fullStr |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
title_full_unstemmed |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
title_sort |
Environmental and cost life-cycle approach to support selection of windows in early stages of building design |
author |
Saadatian, Shiva |
author_facet |
Saadatian, Shiva Rodrigues, Carla Freire, Fausto Simões, Nuno |
author_role |
author |
author2 |
Rodrigues, Carla Freire, Fausto Simões, Nuno |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Saadatian, Shiva Rodrigues, Carla Freire, Fausto Simões, Nuno |
dc.subject.por.fl_str_mv |
Windows Early-stage decisions Life-cycle assessment Life-cycle cost Probabilistic triage |
topic |
Windows Early-stage decisions Life-cycle assessment Life-cycle cost Probabilistic triage |
description |
The selection of windows with the lowest life-cycle environmental impacts in an early-design stage is important to minimize impacts of buildings. Hence, an environmental and cost streamlined life-cycle assessment (LCA) approach, incorporating probabilistic triage, has been developed to support early-decision making for selection of window materials and components. This approach permits also to reduce the uncertainty in the estimated results by means of sequentially specifying attributes based on the attribute ranking. For demonstration purposes, a large number of window alternatives has been assessed for a reference office room. This approach proved to be effective in providing robust results to support the selection of windows by specifying very few window-related attributes (less than 8). The attribute ranking results show that the most influential attributes in terms of cost and environmental LCA are window-to-wall ratio and orientation, respectively. Future market window solutions with a wide range of alternative materials and components, impacting thermal transmittance and solar factor values, can be assessed using this approach to find optimal cost and environmental performance of buildings. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06 2024-05-31T00:00:00Z |
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/10316/103180 http://hdl.handle.net/10316/103180 https://doi.org/10.1016/j.jclepro.2022.132624 |
url |
http://hdl.handle.net/10316/103180 https://doi.org/10.1016/j.jclepro.2022.132624 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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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1799134093753974784 |