Multi-objective optimisation model: A housing block retrofit in Seville

Autores
Camporeale, Patricia; Mercader Moyano, María del Pilar; Czajkowski, Jorge Daniel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Performance-driven optimization has shown its potential to integrate design and energy performance, since building shape and envelope are determinant to the energy demand. Even though new buildings should be nearly zero energy buildings by 2020, according to European Directive 2010/31 recast, they only represent a minority of the building stock. Building retrofit has demonstrated a great potential to reduce energy consumption, and at the same time, CO2 emissions.The scope of this work is to present and test a design methodology to enable architects and decision makers to couple building shape and envelope with energy and financial performance in a multi-objective optimization method. Our multi-objective optimization model is adaptable for both conceptual designand building retrofit, and presents effective application to assist design decisions in a seamless workflow.In this case study, we have applied the model to a housing block retrofit in Seville. We have designed indexes to optimise building envelope, considering mild climates issues. Then, we have simulated heating and cooling demand of the optimal solutions and calculated Net Present Value (NPV) to obtain their financial feasibility. The results have shown the robustness and validity of the framework.
Facultad de Arquitectura y Urbanismo
Materia
Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/78877

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network_name_str SEDICI (UNLP)
spelling Multi-objective optimisation model: A housing block retrofit in SevilleCamporeale, PatriciaMercader Moyano, María del PilarCzajkowski, Jorge DanielArquitecturaOptimizaciónConstrucciónPerformance based-designThermal load indexesMulti-objective optimizationBuilding envelopePerformance-driven optimization has shown its potential to integrate design and energy performance, since building shape and envelope are determinant to the energy demand. Even though new buildings should be nearly zero energy buildings by 2020, according to European Directive 2010/31 recast, they only represent a minority of the building stock. Building retrofit has demonstrated a great potential to reduce energy consumption, and at the same time, CO2 emissions.The scope of this work is to present and test a design methodology to enable architects and decision makers to couple building shape and envelope with energy and financial performance in a multi-objective optimization method. Our multi-objective optimization model is adaptable for both conceptual designand building retrofit, and presents effective application to assist design decisions in a seamless workflow.In this case study, we have applied the model to a housing block retrofit in Seville. We have designed indexes to optimise building envelope, considering mild climates issues. Then, we have simulated heating and cooling demand of the optimal solutions and calculated Net Present Value (NPV) to obtain their financial feasibility. The results have shown the robustness and validity of the framework.Facultad de Arquitectura y Urbanismo2017-08-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf476-484http://sedici.unlp.edu.ar/handle/10915/78877enginfo:eu-repo/semantics/altIdentifier/issn/0378-7788info:eu-repo/semantics/altIdentifier/doi/10.1016/j.enbuild.2017.08.023info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:14:13Zoai:sedici.unlp.edu.ar:10915/78877Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:14:13.698SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Multi-objective optimisation model: A housing block retrofit in Seville
title Multi-objective optimisation model: A housing block retrofit in Seville
spellingShingle Multi-objective optimisation model: A housing block retrofit in Seville
Camporeale, Patricia
Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
title_short Multi-objective optimisation model: A housing block retrofit in Seville
title_full Multi-objective optimisation model: A housing block retrofit in Seville
title_fullStr Multi-objective optimisation model: A housing block retrofit in Seville
title_full_unstemmed Multi-objective optimisation model: A housing block retrofit in Seville
title_sort Multi-objective optimisation model: A housing block retrofit in Seville
dc.creator.none.fl_str_mv Camporeale, Patricia
Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
author Camporeale, Patricia
author_facet Camporeale, Patricia
Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
author_role author
author2 Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
author2_role author
author
dc.subject.none.fl_str_mv Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
topic Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
dc.description.none.fl_txt_mv Performance-driven optimization has shown its potential to integrate design and energy performance, since building shape and envelope are determinant to the energy demand. Even though new buildings should be nearly zero energy buildings by 2020, according to European Directive 2010/31 recast, they only represent a minority of the building stock. Building retrofit has demonstrated a great potential to reduce energy consumption, and at the same time, CO2 emissions.The scope of this work is to present and test a design methodology to enable architects and decision makers to couple building shape and envelope with energy and financial performance in a multi-objective optimization method. Our multi-objective optimization model is adaptable for both conceptual designand building retrofit, and presents effective application to assist design decisions in a seamless workflow.In this case study, we have applied the model to a housing block retrofit in Seville. We have designed indexes to optimise building envelope, considering mild climates issues. Then, we have simulated heating and cooling demand of the optimal solutions and calculated Net Present Value (NPV) to obtain their financial feasibility. The results have shown the robustness and validity of the framework.
Facultad de Arquitectura y Urbanismo
description Performance-driven optimization has shown its potential to integrate design and energy performance, since building shape and envelope are determinant to the energy demand. Even though new buildings should be nearly zero energy buildings by 2020, according to European Directive 2010/31 recast, they only represent a minority of the building stock. Building retrofit has demonstrated a great potential to reduce energy consumption, and at the same time, CO2 emissions.The scope of this work is to present and test a design methodology to enable architects and decision makers to couple building shape and envelope with energy and financial performance in a multi-objective optimization method. Our multi-objective optimization model is adaptable for both conceptual designand building retrofit, and presents effective application to assist design decisions in a seamless workflow.In this case study, we have applied the model to a housing block retrofit in Seville. We have designed indexes to optimise building envelope, considering mild climates issues. Then, we have simulated heating and cooling demand of the optimal solutions and calculated Net Present Value (NPV) to obtain their financial feasibility. The results have shown the robustness and validity of the framework.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-19
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/78877
url http://sedici.unlp.edu.ar/handle/10915/78877
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0378-7788
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.enbuild.2017.08.023
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
476-484
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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