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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/78877
Ver los metadatos del registro completo
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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 |
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Universidad Nacional de La Plata |
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UNLP |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
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