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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4B5M7F5
Repositóriosid.inpe.br/mtc-m21d/2024/04.15.13.44   (acesso restrito)
Última Atualização2024:04.15.13.44.08 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2024/04.15.13.44.08
Última Atualização dos Metadados2024:04.16.14.16.46 (UTC) administrator
DOI10.1016/j.jobe.2024.109248
Chave de CitaçãoBrachtOlKrGoMeLa:2024:UnUn
TítuloMultiple regional climate model projections to assess building thermal performance in Brazil: Understanding the uncertainty
Ano2024
MêsJuly
Data de Acesso17 maio 2024
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho11747 KiB
2. Contextualização
Autor1 Bracht, Matheus K.
2 Olinger, Marcelo S.
3 Krelling, Amanda F.
4 Gonçalves, André Rodrigues
5 Melo, Ana Paula
6 Lamberts, Roberto
Grupo1
2
3
4 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de Santa Catarina (UFSC)
2 Universidade Federal de Santa Catarina (UFSC)
3 Universidade Federal de Santa Catarina (UFSC)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal de Santa Catarina (UFSC)
6 Universidade Federal de Santa Catarina (UFSC)
Endereço de e-Mail do Autor1 matheus.bracht@posgrad.ufsc.br
2
3
4 andre.goncalves@inpe.br
RevistaJournal of Building Engineering
Volume88
Páginase109248
Histórico (UTC)2024-04-15 13:44:32 :: simone -> administrator :: 2024
2024-04-16 14:16:46 :: administrator -> simone :: 2024
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveBuilding energy simulation
Climate change
Future weather files
ResumoUnderstanding the trends and uncertainties in Building Energy Simulation (BES) performance indicators under future climate conditions is crucial for mitigating issues such as overheating and power outages. To address this, we generated a set of weather files for all 27 state capitals in Brazil, considering six climate model projections (three General Circulation Models as driving models and two nested Regional Climate Models) and two distinct emission scenarios from the CORDEX project. We analyzed the variability in climatic variables and subsequently performed BES on a representative Brazilian social housing unit to evaluate its impact on the performance indicators outcomes. Consistent with previous studies, a substantial increase in cooling-related demands was observed in the more pessimistic scenario (RCP8.5) and mild increases in the more optimistic scenario (RCP2.6), with a trend toward stabilization after 2050. Regarding uncertainties, we found higher Relative Standard Deviation (RSD) values for the cooling degree hours indicator. The capitals in the Central-West, Southeast, and South regions exhibited greater uncertainty regarding temperature indicators, whereas the irradiation parameters displayed higher uncertainties in the Northeast region. For the BES outcomes, RSD values as high as 19.9% were found for cooling load values. It was also demonstrated that locations, periods, and scenarios exhibit different extreme climate model projections. Ideally, employing an ensemble of weather files developed from other models would help assess associated uncertainties in the building performance indicators.
ÁreaCST
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S2352710224008167-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn issn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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