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

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 o...

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Autores principales: Camporeale, Patricia, Mercader Moyano, María del Pilar, Czajkowski, Jorge Daniel
Formato: Articulo
Lenguaje:inglés
Publicado: 2017
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/78877
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author Camporeale, Patricia
Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
author_facet Camporeale, Patricia
Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
author_sort Camporeale, Patricia
collection Repositorio Sedici - Comunidad
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.
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spelling I89-R6-10915-788772020-01-18T20:05:39Z http://sedici.unlp.edu.ar/handle/10915/78877 Multi-objective optimisation model: A housing block retrofit in Seville Camporeale, Patricia Mercader Moyano, María del Pilar Czajkowski, Jorge Daniel 2017-08-19 2019-08-08T18:13:58Z en Arquitectura Optimización Construcción Performance based-design Thermal load indexes Multi-objective optimization Building envelope 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 Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 476-484
spellingShingle Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
Camporeale, Patricia
Mercader Moyano, María del Pilar
Czajkowski, Jorge Daniel
Multi-objective optimisation model: A housing block retrofit in Seville
title 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_short Multi-objective optimisation model: A housing block retrofit in Seville
title_sort multi objective optimisation model a housing block retrofit in seville
topic Arquitectura
Optimización
Construcción
Performance based-design
Thermal load indexes
Multi-objective optimization
Building envelope
url http://sedici.unlp.edu.ar/handle/10915/78877
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AT czajkowskijorgedaniel multiobjectiveoptimisationmodelahousingblockretrofitinseville