Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment

Detalhes bibliográficos
Autor(a) principal: Jean M. Parente
Data de Publicação: 2019
Outros Autores: Eugénio Rodrigues, Marco S. Fernandes, Bárbara Rangel, João Poças Martins
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/120961
Resumo: Although created with the purpose of reducing the Brazilian housing deficit, the "Minha Casa, Minha Vida" government program (PMCMV) presents a large part of its constructions with low built and indoor environment quality. Expecting the increase of the families' income in the following decade, it is important to improve the living conditions of those inhabitants, which may result from improving the thermal comfort, reduce the energy consumption or mitigate the energy needs. To determine which is the most cost-effective, which can be corrective passive design measures, the use of HVAC systems, or production of renewable energy for self-consumption, this work describes the creation of a dataset of twenty building models of current buildings to be used as reference set on which to test different scenarios. The reference set has several indoor space arrangements of a single-family typology in Fortaleza, which follow the minimum requirements of level 2 of the PMCMV program. The dwellings were created using a floor plan generative design approach and the thermal comfort evaluated using dynamic simulation (EnergyPlus) according to the thermal performance for housing norm NBR 15575 and Technical Regulation of Quality for Residential Buildings (RTQ-R). The typical urban context was taken into consideration during the building generation process and evaluation (reflection and shadowing of solar radiation). The synthetic dataset presents diverse building solutions and all buildings ranked A according to the Brazilian building energy ranking system.
id RCAP_968a2daf5ff8b67639b66c35e86915b3
oai_identifier_str oai:repositorio-aberto.up.pt:10216/120961
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessmentAlthough created with the purpose of reducing the Brazilian housing deficit, the "Minha Casa, Minha Vida" government program (PMCMV) presents a large part of its constructions with low built and indoor environment quality. Expecting the increase of the families' income in the following decade, it is important to improve the living conditions of those inhabitants, which may result from improving the thermal comfort, reduce the energy consumption or mitigate the energy needs. To determine which is the most cost-effective, which can be corrective passive design measures, the use of HVAC systems, or production of renewable energy for self-consumption, this work describes the creation of a dataset of twenty building models of current buildings to be used as reference set on which to test different scenarios. The reference set has several indoor space arrangements of a single-family typology in Fortaleza, which follow the minimum requirements of level 2 of the PMCMV program. The dwellings were created using a floor plan generative design approach and the thermal comfort evaluated using dynamic simulation (EnergyPlus) according to the thermal performance for housing norm NBR 15575 and Technical Regulation of Quality for Residential Buildings (RTQ-R). The typical urban context was taken into consideration during the building generation process and evaluation (reflection and shadowing of solar radiation). The synthetic dataset presents diverse building solutions and all buildings ranked A according to the Brazilian building energy ranking system.2019-072019-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/120961engJean M. ParenteEugénio RodriguesMarco S. FernandesBárbara RangelJoão Poças Martinsinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T16:14:19Zoai:repositorio-aberto.up.pt:10216/120961Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:39:37.764642Repositório 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 Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
title Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
spellingShingle Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
Jean M. Parente
title_short Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
title_full Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
title_fullStr Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
title_full_unstemmed Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
title_sort Generation of a reference dataset with twenty low-income single-family houses in Fortaleza, Brazil and thermal discomfort assessment
author Jean M. Parente
author_facet Jean M. Parente
Eugénio Rodrigues
Marco S. Fernandes
Bárbara Rangel
João Poças Martins
author_role author
author2 Eugénio Rodrigues
Marco S. Fernandes
Bárbara Rangel
João Poças Martins
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Jean M. Parente
Eugénio Rodrigues
Marco S. Fernandes
Bárbara Rangel
João Poças Martins
description Although created with the purpose of reducing the Brazilian housing deficit, the "Minha Casa, Minha Vida" government program (PMCMV) presents a large part of its constructions with low built and indoor environment quality. Expecting the increase of the families' income in the following decade, it is important to improve the living conditions of those inhabitants, which may result from improving the thermal comfort, reduce the energy consumption or mitigate the energy needs. To determine which is the most cost-effective, which can be corrective passive design measures, the use of HVAC systems, or production of renewable energy for self-consumption, this work describes the creation of a dataset of twenty building models of current buildings to be used as reference set on which to test different scenarios. The reference set has several indoor space arrangements of a single-family typology in Fortaleza, which follow the minimum requirements of level 2 of the PMCMV program. The dwellings were created using a floor plan generative design approach and the thermal comfort evaluated using dynamic simulation (EnergyPlus) according to the thermal performance for housing norm NBR 15575 and Technical Regulation of Quality for Residential Buildings (RTQ-R). The typical urban context was taken into consideration during the building generation process and evaluation (reflection and shadowing of solar radiation). The synthetic dataset presents diverse building solutions and all buildings ranked A according to the Brazilian building energy ranking system.
publishDate 2019
dc.date.none.fl_str_mv 2019-07
2019-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/120961
url https://hdl.handle.net/10216/120961
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
_version_ 1799136302469218304