Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis

Autores
Filippin, Maria Celina; Ricard, Maria Florencia; Flores Larsen, Silvana Elinor
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of the present study is to evaluate historical consumption of natural gas for heating, between 1996 and 2009, in multifamily buildings, using stepwise selection and multivariate analysis. 72 apartments of the capital of the province of La Pampa, Argentina, were studied. Some apartments were previously monitored, thus information about their thermal and energy behaviour is available. There are many variables that could influence the winter energy and annual consumption of the apartments. Based on the characteristics of buildings in Argentina and on previous research, ten variables were selected, from which the most representative ones were selected by using a stepwise method. Then, the apartments were grouped by applying clustering techniques, and the centroids for each cluster were determined by averaging the variables that describe the cluster. It was shown that the apartments monitored in previous works, having good thermal behaviour, are close to the centroids of the group to which they belong and could be taken as references of their group. The annual heating energy consumption average for the sample is 118.2 kWh/m2/y. However, a significant percentage of apartments showed energy consumptions lower than 70 kWh/m2/y, which is a widely accepted value to define a building as a "low-energy" one. Thus, some apartments could be classified as "low-energy", but for the actual Argentinean Norm they do not qualify even for the worst energy level label. The results make evident a strong disagreement between the Argentinean standard label and the real energy consumption for heating. This fact should be considered as fundamental in order to review the Norm.
Fil: Filippin, Maria Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ricard, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Flores Larsen, Silvana Elinor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Materia
Efficiency Label
Energy Saving
Energy-Classes
Heating Energy
Multifamily Buildings
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/81510
Acceder
id CONICETDig_b59948bd38b989c403912c796ff7ddf8
oai_identifier_str oai:ri.conicet.gov.ar:11336/81510
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysisFilippin, Maria CelinaRicard, Maria FlorenciaFlores Larsen, Silvana ElinorEfficiency LabelEnergy SavingEnergy-ClassesHeating EnergyMultifamily Buildingshttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2The aim of the present study is to evaluate historical consumption of natural gas for heating, between 1996 and 2009, in multifamily buildings, using stepwise selection and multivariate analysis. 72 apartments of the capital of the province of La Pampa, Argentina, were studied. Some apartments were previously monitored, thus information about their thermal and energy behaviour is available. There are many variables that could influence the winter energy and annual consumption of the apartments. Based on the characteristics of buildings in Argentina and on previous research, ten variables were selected, from which the most representative ones were selected by using a stepwise method. Then, the apartments were grouped by applying clustering techniques, and the centroids for each cluster were determined by averaging the variables that describe the cluster. It was shown that the apartments monitored in previous works, having good thermal behaviour, are close to the centroids of the group to which they belong and could be taken as references of their group. The annual heating energy consumption average for the sample is 118.2 kWh/m2/y. However, a significant percentage of apartments showed energy consumptions lower than 70 kWh/m2/y, which is a widely accepted value to define a building as a "low-energy" one. Thus, some apartments could be classified as "low-energy", but for the actual Argentinean Norm they do not qualify even for the worst energy level label. The results make evident a strong disagreement between the Argentinean standard label and the real energy consumption for heating. This fact should be considered as fundamental in order to review the Norm.Fil: Filippin, Maria Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ricard, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Flores Larsen, Silvana Elinor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaElsevier Science Sa2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81510Filippin, Maria Celina; Ricard, Maria Florencia; Flores Larsen, Silvana Elinor; Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis; Elsevier Science Sa; Energy and Buildings; 66; 11-2013; 571-5810378-7788CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378778813004453info:eu-repo/semantics/altIdentifier/doi/10.1016/j.enbuild.2013.07.054info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:03:35Zoai:ri.conicet.gov.ar:11336/81510instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:03:35.506CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
title Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
spellingShingle Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
Filippin, Maria Celina
Efficiency Label
Energy Saving
Energy-Classes
Heating Energy
Multifamily Buildings
title_short Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
title_full Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
title_fullStr Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
title_full_unstemmed Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
title_sort Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
dc.creator.none.fl_str_mv Filippin, Maria Celina
Ricard, Maria Florencia
Flores Larsen, Silvana Elinor
author Filippin, Maria Celina
author_facet Filippin, Maria Celina
Ricard, Maria Florencia
Flores Larsen, Silvana Elinor
author_role author
author2 Ricard, Maria Florencia
Flores Larsen, Silvana Elinor
author2_role author
author
dc.subject.none.fl_str_mv Efficiency Label
Energy Saving
Energy-Classes
Heating Energy
Multifamily Buildings
topic Efficiency Label
Energy Saving
Energy-Classes
Heating Energy
Multifamily Buildings
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The aim of the present study is to evaluate historical consumption of natural gas for heating, between 1996 and 2009, in multifamily buildings, using stepwise selection and multivariate analysis. 72 apartments of the capital of the province of La Pampa, Argentina, were studied. Some apartments were previously monitored, thus information about their thermal and energy behaviour is available. There are many variables that could influence the winter energy and annual consumption of the apartments. Based on the characteristics of buildings in Argentina and on previous research, ten variables were selected, from which the most representative ones were selected by using a stepwise method. Then, the apartments were grouped by applying clustering techniques, and the centroids for each cluster were determined by averaging the variables that describe the cluster. It was shown that the apartments monitored in previous works, having good thermal behaviour, are close to the centroids of the group to which they belong and could be taken as references of their group. The annual heating energy consumption average for the sample is 118.2 kWh/m2/y. However, a significant percentage of apartments showed energy consumptions lower than 70 kWh/m2/y, which is a widely accepted value to define a building as a "low-energy" one. Thus, some apartments could be classified as "low-energy", but for the actual Argentinean Norm they do not qualify even for the worst energy level label. The results make evident a strong disagreement between the Argentinean standard label and the real energy consumption for heating. This fact should be considered as fundamental in order to review the Norm.
Fil: Filippin, Maria Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ricard, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Flores Larsen, Silvana Elinor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
description The aim of the present study is to evaluate historical consumption of natural gas for heating, between 1996 and 2009, in multifamily buildings, using stepwise selection and multivariate analysis. 72 apartments of the capital of the province of La Pampa, Argentina, were studied. Some apartments were previously monitored, thus information about their thermal and energy behaviour is available. There are many variables that could influence the winter energy and annual consumption of the apartments. Based on the characteristics of buildings in Argentina and on previous research, ten variables were selected, from which the most representative ones were selected by using a stepwise method. Then, the apartments were grouped by applying clustering techniques, and the centroids for each cluster were determined by averaging the variables that describe the cluster. It was shown that the apartments monitored in previous works, having good thermal behaviour, are close to the centroids of the group to which they belong and could be taken as references of their group. The annual heating energy consumption average for the sample is 118.2 kWh/m2/y. However, a significant percentage of apartments showed energy consumptions lower than 70 kWh/m2/y, which is a widely accepted value to define a building as a "low-energy" one. Thus, some apartments could be classified as "low-energy", but for the actual Argentinean Norm they do not qualify even for the worst energy level label. The results make evident a strong disagreement between the Argentinean standard label and the real energy consumption for heating. This fact should be considered as fundamental in order to review the Norm.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/81510
Filippin, Maria Celina; Ricard, Maria Florencia; Flores Larsen, Silvana Elinor; Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis; Elsevier Science Sa; Energy and Buildings; 66; 11-2013; 571-581
0378-7788
CONICET Digital
CONICET
url http://hdl.handle.net/11336/81510
identifier_str_mv Filippin, Maria Celina; Ricard, Maria Florencia; Flores Larsen, Silvana Elinor; Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis; Elsevier Science Sa; Energy and Buildings; 66; 11-2013; 571-581
0378-7788
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378778813004453
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.enbuild.2013.07.054
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781271983783936
score 12.928904

Publicaciones similares