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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/81510
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:35:31Zoai: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:34982025-09-29 09:35:32.131CONICET 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 |
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1844613107276578816 |
score |
13.070432 |