Optimal renovation of buildings towards the nearly Zero Energy Building standard

In this paper, a Mixed-Integer Linear Programming model is proposed for the design of the energy renovation of existing buildings, considering both Energy Supply Systems and the adoption of Energy Saving Measures to reduce the demand of buildings in retrofitting towards the nearly Zero Energy Buildi...

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Autores: Iturriaga Hidalgo, Eneko, Aldasoro Marcellan, Unai, Terés Zubiaga, Jon, Campos Celador, Álvaro
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/66191
Acceso en línea:http://hdl.handle.net/10810/66191
Access Level:acceso abierto
Palabra clave:building renovation
energy supply system
energy saving measure
nZEB
optimization
MILP
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spelling Optimal renovation of buildings towards the nearly Zero Energy Building standardIturriaga Hidalgo, EnekoAldasoro Marcellan, UnaiTerés Zubiaga, JonCampos Celador, Álvarobuilding renovationenergy supply systemenergy saving measurenZEBoptimizationMILPIn this paper, a Mixed-Integer Linear Programming model is proposed for the design of the energy renovation of existing buildings, considering both Energy Supply Systems and the adoption of Energy Saving Measures to reduce the demand of buildings in retrofitting towards the nearly Zero Energy Building standard. The method is applied to an existing building located in Bilbao (northern Spain), getting the optimal design, i.e. lower annual net cost, for different limits of non-renewable primary energy consumption. The demand reduction produced by the Energy Saving Measures is included as an input from previously validated dynamic simulations and a simple method is presented for its specific distribution in reference days. This simple method, based on degree-days, allows reference days to be generated that, through an Energy Saving Measure based base temperature, consider the weather, the use and the thermal properties' dependency on the distribution of the demand. The optimization method is used to provide the design selection and operation strategy of the renovation of buildings to meet different non-renewable primary energy consumption limits and to provide designs for different constraints: economic, space availability, etc.This research has been partially supported by the project MTM2015-65317-P from the Spanish Ministry of Economy and Competitiveness and “Fundación Iberdrola” by the Research Grant in Energy and Environment 2017.Elsevier202420242018info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/66191reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MINECO/MTM2015-65317-P/http://creativecommons.org/licenses/by-nc-nd/4.0/https://www.sciencedirect.com/science/article/pii/S0360544218313185info:eu-repo/semantics/openAccess© 2018 Elsevier under CC BY-NC-ND licenseoai:addi.ehu.eus:10810/661912026-06-18T09:23:17Z
dc.title.none.fl_str_mv Optimal renovation of buildings towards the nearly Zero Energy Building standard
title Optimal renovation of buildings towards the nearly Zero Energy Building standard
spellingShingle Optimal renovation of buildings towards the nearly Zero Energy Building standard
Iturriaga Hidalgo, Eneko
building renovation
energy supply system
energy saving measure
nZEB
optimization
MILP
title_short Optimal renovation of buildings towards the nearly Zero Energy Building standard
title_full Optimal renovation of buildings towards the nearly Zero Energy Building standard
title_fullStr Optimal renovation of buildings towards the nearly Zero Energy Building standard
title_full_unstemmed Optimal renovation of buildings towards the nearly Zero Energy Building standard
title_sort Optimal renovation of buildings towards the nearly Zero Energy Building standard
dc.creator.none.fl_str_mv Iturriaga Hidalgo, Eneko
Aldasoro Marcellan, Unai
Terés Zubiaga, Jon
Campos Celador, Álvaro
author Iturriaga Hidalgo, Eneko
author_facet Iturriaga Hidalgo, Eneko
Aldasoro Marcellan, Unai
Terés Zubiaga, Jon
Campos Celador, Álvaro
author_role author
author2 Aldasoro Marcellan, Unai
Terés Zubiaga, Jon
Campos Celador, Álvaro
author2_role author
author
author
dc.subject.none.fl_str_mv building renovation
energy supply system
energy saving measure
nZEB
optimization
MILP
topic building renovation
energy supply system
energy saving measure
nZEB
optimization
MILP
description In this paper, a Mixed-Integer Linear Programming model is proposed for the design of the energy renovation of existing buildings, considering both Energy Supply Systems and the adoption of Energy Saving Measures to reduce the demand of buildings in retrofitting towards the nearly Zero Energy Building standard. The method is applied to an existing building located in Bilbao (northern Spain), getting the optimal design, i.e. lower annual net cost, for different limits of non-renewable primary energy consumption. The demand reduction produced by the Energy Saving Measures is included as an input from previously validated dynamic simulations and a simple method is presented for its specific distribution in reference days. This simple method, based on degree-days, allows reference days to be generated that, through an Energy Saving Measure based base temperature, consider the weather, the use and the thermal properties' dependency on the distribution of the demand. The optimization method is used to provide the design selection and operation strategy of the renovation of buildings to meet different non-renewable primary energy consumption limits and to provide designs for different constraints: economic, space availability, etc.
publishDate 2018
dc.date.none.fl_str_mv 2018
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/66191
url http://hdl.handle.net/10810/66191
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO/MTM2015-65317-P/
http://creativecommons.org/licenses/by-nc-nd/4.0/
https://www.sciencedirect.com/science/article/pii/S0360544218313185
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© 2018 Elsevier under CC BY-NC-ND license
eu_rights_str_mv openAccess
rights_invalid_str_mv © 2018 Elsevier under CC BY-NC-ND license
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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