Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design

Designing a Zero Energy Building (ZEB) requires an optimal choice of the materials of a building envelope. Different material properties and window areas could be selected to generate a set of possibilities of the design of a building, being the demand defined by its thermal characteristics. The ene...

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Main Authors: Pablo Aparicio-Ruiz, José Guadix-Martín, Elena Barbadilla-Martín, Jesús Muñuzuri-Sanz
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
LCC
Online Access:https://www.mdpi.com/2076-3417/9/3/453
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spelling doaj-b81ed62402a64e91894e701b775baced2020-11-25T01:57:12ZengMDPI AGApplied Sciences2076-34172019-01-019345310.3390/app9030453app9030453Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s DesignPablo Aparicio-Ruiz0José Guadix-Martín1Elena Barbadilla-Martín2Jesús Muñuzuri-Sanz3Grupo de Ingeniería de Organización, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos S/N, 41092 Seville, SpainGrupo de Ingeniería de Organización, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos S/N, 41092 Seville, SpainGrupo de Ingeniería de Organización, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos S/N, 41092 Seville, SpainGrupo de Ingeniería de Organización, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos S/N, 41092 Seville, SpainDesigning a Zero Energy Building (ZEB) requires an optimal choice of the materials of a building envelope. Different material properties and window areas could be selected to generate a set of possibilities of the design of a building, being the demand defined by its thermal characteristics. The energy demand of a building could be produced with renewable systems such as photovoltaic. Moreover, the HVAC (Heating, Ventilation, and Air Conditioning) systems could be selected considering the system cost. The present methodology focuses on finding a balance between investment and low energy consumption for a building, based on an integrated optimization method. Such methodology applies a Tabu search algorithm and a simplified model to select the passive design. Afterwards, active elements of the design, as photovoltaic systems, are selected. Therefore, the methodology faces the problem of estimating the annual energy demand and the life cycle cost. The goal is the design of a building with a large amount of energy generated by renewable energy, to have a ZEB, and in the worst case, a nearly Zero Energy Building (nZEB). This methodology reduces investment, reduces the energy demand and selects the best construction materials, renewable energy, and air conditioning system. The present paper analyzes a set of case studies considering different climatic zones in Spain. The results conclude that the methodology could help builders in the design stage, to find a new design that allows a ZEB with the optimal life cycle cost.https://www.mdpi.com/2076-3417/9/3/453algorithm optimizationphotovoltaicrenewable energyLCC
collection DOAJ
language English
format Article
sources DOAJ
author Pablo Aparicio-Ruiz
José Guadix-Martín
Elena Barbadilla-Martín
Jesús Muñuzuri-Sanz
spellingShingle Pablo Aparicio-Ruiz
José Guadix-Martín
Elena Barbadilla-Martín
Jesús Muñuzuri-Sanz
Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
Applied Sciences
algorithm optimization
photovoltaic
renewable energy
LCC
author_facet Pablo Aparicio-Ruiz
José Guadix-Martín
Elena Barbadilla-Martín
Jesús Muñuzuri-Sanz
author_sort Pablo Aparicio-Ruiz
title Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
title_short Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
title_full Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
title_fullStr Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
title_full_unstemmed Applying Renewable Energy Technologies in an Integrated Optimization Method for Residential Building’s Design
title_sort applying renewable energy technologies in an integrated optimization method for residential building’s design
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-01-01
description Designing a Zero Energy Building (ZEB) requires an optimal choice of the materials of a building envelope. Different material properties and window areas could be selected to generate a set of possibilities of the design of a building, being the demand defined by its thermal characteristics. The energy demand of a building could be produced with renewable systems such as photovoltaic. Moreover, the HVAC (Heating, Ventilation, and Air Conditioning) systems could be selected considering the system cost. The present methodology focuses on finding a balance between investment and low energy consumption for a building, based on an integrated optimization method. Such methodology applies a Tabu search algorithm and a simplified model to select the passive design. Afterwards, active elements of the design, as photovoltaic systems, are selected. Therefore, the methodology faces the problem of estimating the annual energy demand and the life cycle cost. The goal is the design of a building with a large amount of energy generated by renewable energy, to have a ZEB, and in the worst case, a nearly Zero Energy Building (nZEB). This methodology reduces investment, reduces the energy demand and selects the best construction materials, renewable energy, and air conditioning system. The present paper analyzes a set of case studies considering different climatic zones in Spain. The results conclude that the methodology could help builders in the design stage, to find a new design that allows a ZEB with the optimal life cycle cost.
topic algorithm optimization
photovoltaic
renewable energy
LCC
url https://www.mdpi.com/2076-3417/9/3/453
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