Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale

Detalhes bibliográficos
Autor(a) principal: Gouveia, João Pedro
Data de Publicação: 2019
Outros Autores: Palma, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/100873
Resumo: UID/AMB/04085/2019
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spelling Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scalebuilding envelopeheating and coolingenergy performance gapenergy needsPortugalSDG 1 - No PovertySDG 7 - Affordable and Clean EnergySDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionUID/AMB/04085/2019The reduction of energy consumption and the increase in energy efficiency is currently an important cornerstone of EU policy. Energy performance certificates (EPCs) were implemented as one of the tools to promote this agenda, and are used for the energy performance assessment of buildings. In this study, the characteristics of the Portuguese dwelling stock are regionally analysed using data from approximately 523,000 Portuguese residential EPCs. Furthermore, a bottom-up building typology approach is used to assess the regional energy needs impact of retrofitting actions and to estimate the heating and cooling energy performance gaps of the whole dwelling stock, as well as the potential CO2 emissions resulting from the gaps' potential offset due to increase thermal comfort. The results show that Portuguese residential buildings have very low energy performance, with windows and roofs being identified as the most energy inefficient elements. Roof retrofitting has the highest potential for the reduction of energy needs. The estimated heating and cooling energy performance gap amount to very significant percentages, due to the poor performing building stock but also very low energy consumption levels, with probable consequences for the thermal comfort of occupants. Assuming the current energy mix, carbon emissions would be 9.8 and 20.2 times higher associated with heating and cooling, respectively, if the actual final energy consumption were to match the estimated theoretical values derived from building regulation. This study demonstrates several application cases and leverages the potential of the individual EPC, increasing the detail in the dwelling stock characterization and energy performance estimation, revealing its value for energy retrofit and climate change mitigation assessments, as well as establishing the ground for future work related to building retrofits, energy efficiency measure implementation, climate change mitigation, thermal comfort, and energy poverty studies.CENSE - Centro de Investigação em Ambiente e SustentabilidadeRUNGouveia, João PedroPalma, Pedro2020-07-14T22:18:21Z2019-09-062019-09-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/100873eng1748-9326PURE: 15504548https://doi.org/10.1088/1748-9326/ab3781info: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:RCAAP2024-03-11T04:47:12Zoai:run.unl.pt:10362/100873Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:26.532817Repositório 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 Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
title Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
spellingShingle Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
Gouveia, João Pedro
building envelope
heating and cooling
energy performance gap
energy needs
Portugal
SDG 1 - No Poverty
SDG 7 - Affordable and Clean Energy
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
title_short Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
title_full Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
title_fullStr Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
title_full_unstemmed Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
title_sort Harvesting big data from residential building energy performance certificates: retrofitting and climate change mitigation insights at a regional scale
author Gouveia, João Pedro
author_facet Gouveia, João Pedro
Palma, Pedro
author_role author
author2 Palma, Pedro
author2_role author
dc.contributor.none.fl_str_mv CENSE - Centro de Investigação em Ambiente e Sustentabilidade
RUN
dc.contributor.author.fl_str_mv Gouveia, João Pedro
Palma, Pedro
dc.subject.por.fl_str_mv building envelope
heating and cooling
energy performance gap
energy needs
Portugal
SDG 1 - No Poverty
SDG 7 - Affordable and Clean Energy
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
topic building envelope
heating and cooling
energy performance gap
energy needs
Portugal
SDG 1 - No Poverty
SDG 7 - Affordable and Clean Energy
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
description UID/AMB/04085/2019
publishDate 2019
dc.date.none.fl_str_mv 2019-09-06
2019-09-06T00:00:00Z
2020-07-14T22:18:21Z
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/10362/100873
url http://hdl.handle.net/10362/100873
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1748-9326
PURE: 15504548
https://doi.org/10.1088/1748-9326/ab3781
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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
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