Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal

Detalhes bibliográficos
Autor(a) principal: Magalhaes,SMC
Data de Publicação: 2016
Outros Autores: Leal,VMS, Isabel Horta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6049
http://dx.doi.org/10.1016/j.enbuild.2016.03.064
Resumo: Empirical data for residential indoor temperature and its determinants have important implications for policymakers in terms of the assessment of thermal comfort, health of occupants and the use for supporting energy demand models. With the purpose of advancing this knowledge, the indoor temperatures of 141 households in the Northern Portugal were measured at a half-hourly basis during the winter of 2013-2014. The observed mean winter daily indoor temperature at the occupied period was 14.9 degrees C for the bedrooms and 16.6 degrees C for the living rooms. The results show that indoor temperatures are significantly below the comfort levels generally accepted, which could be an indication of future potential rebound effects. Results also reinforce the idea that 'cold homes' during winter season are a reality even in the southern European countries. Models for predicting the daily mean bedroom and living room temperature were developed using an enhanced linear regression with panel-corrected standard errors. The results showed that climatic conditions, and especially building characteristics, affect significantly the bedroom and living room's indoor temperatures.
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spelling Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern PortugalEmpirical data for residential indoor temperature and its determinants have important implications for policymakers in terms of the assessment of thermal comfort, health of occupants and the use for supporting energy demand models. With the purpose of advancing this knowledge, the indoor temperatures of 141 households in the Northern Portugal were measured at a half-hourly basis during the winter of 2013-2014. The observed mean winter daily indoor temperature at the occupied period was 14.9 degrees C for the bedrooms and 16.6 degrees C for the living rooms. The results show that indoor temperatures are significantly below the comfort levels generally accepted, which could be an indication of future potential rebound effects. Results also reinforce the idea that 'cold homes' during winter season are a reality even in the southern European countries. Models for predicting the daily mean bedroom and living room temperature were developed using an enhanced linear regression with panel-corrected standard errors. The results showed that climatic conditions, and especially building characteristics, affect significantly the bedroom and living room's indoor temperatures.2018-01-14T15:08:34Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6049http://dx.doi.org/10.1016/j.enbuild.2016.03.064engMagalhaes,SMCLeal,VMSIsabel Hortainfo: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:RCAAP2023-05-15T10:20:34Zoai:repositorio.inesctec.pt:123456789/6049Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:20.176969Repositório 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 Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
title Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
spellingShingle Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
Magalhaes,SMC
title_short Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
title_full Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
title_fullStr Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
title_full_unstemmed Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
title_sort Predicting and characterizing indoor temperatures in residential buildings: Results from a monitoring campaign in Northern Portugal
author Magalhaes,SMC
author_facet Magalhaes,SMC
Leal,VMS
Isabel Horta
author_role author
author2 Leal,VMS
Isabel Horta
author2_role author
author
dc.contributor.author.fl_str_mv Magalhaes,SMC
Leal,VMS
Isabel Horta
description Empirical data for residential indoor temperature and its determinants have important implications for policymakers in terms of the assessment of thermal comfort, health of occupants and the use for supporting energy demand models. With the purpose of advancing this knowledge, the indoor temperatures of 141 households in the Northern Portugal were measured at a half-hourly basis during the winter of 2013-2014. The observed mean winter daily indoor temperature at the occupied period was 14.9 degrees C for the bedrooms and 16.6 degrees C for the living rooms. The results show that indoor temperatures are significantly below the comfort levels generally accepted, which could be an indication of future potential rebound effects. Results also reinforce the idea that 'cold homes' during winter season are a reality even in the southern European countries. Models for predicting the daily mean bedroom and living room temperature were developed using an enhanced linear regression with panel-corrected standard errors. The results showed that climatic conditions, and especially building characteristics, affect significantly the bedroom and living room's indoor temperatures.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2018-01-14T15:08:34Z
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http://dx.doi.org/10.1016/j.enbuild.2016.03.064
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http://dx.doi.org/10.1016/j.enbuild.2016.03.064
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