Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia

Windows account for a significant proportion of the total energy lost in buildings. The interaction of window type, Window-to-Wall Ratio (WWR) scheduled and window placement height influence natural lighting and heat transfer through windows. This is a pressing issue for nontropical regions consider...

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Main Authors: Zixuan Chen, Ahmed W A Hammad, Imriyas Kamardeen, Assed Haddad
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/10/11/206
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spelling doaj-21ae2661b3554723b790a4d98dad09612020-11-25T04:10:04ZengMDPI AGBuildings2075-53092020-11-011020620610.3390/buildings10110206Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of AustraliaZixuan Chen0Ahmed W A Hammad1Imriyas Kamardeen2Assed Haddad3School of Built Environment, University of New South Wales, Sydney 2052, AustraliaSchool of Built Environment, University of New South Wales, Sydney 2052, AustraliaSchool of Architecture & Built Environment, Deakin University, Geelong 3217, AustraliaDepartamento de Construção Civil, Escola Politécnica, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilWindows account for a significant proportion of the total energy lost in buildings. The interaction of window type, Window-to-Wall Ratio (WWR) scheduled and window placement height influence natural lighting and heat transfer through windows. This is a pressing issue for nontropical regions considering their high emissions and distinct climatic characteristics. A limitation exists in the adoption of common simulation-based optimisation approaches in the literature, which are hardly accessible to practitioners. This article develops a numerical-based window design optimisation model using a common Building Information Modelling (BIM) platform adopted throughout the industry, focusing on nontropical regions of Australia. Three objective functions are proposed; the first objective is to maximise the available daylight, and the other two emphasize undesirable heat transfer through windows in summer and winter. The developed model is tested on a case study located in Sydney, Australia, and a set of Pareto-optimum solutions is obtained. Through the use of the proposed model, energy savings of up to 8.57% are achieved.https://www.mdpi.com/2075-5309/10/11/206multi-objectiveoptimisationRevitdynamoBuilding Information Modellingwindow design
collection DOAJ
language English
format Article
sources DOAJ
author Zixuan Chen
Ahmed W A Hammad
Imriyas Kamardeen
Assed Haddad
spellingShingle Zixuan Chen
Ahmed W A Hammad
Imriyas Kamardeen
Assed Haddad
Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
Buildings
multi-objective
optimisation
Revit
dynamo
Building Information Modelling
window design
author_facet Zixuan Chen
Ahmed W A Hammad
Imriyas Kamardeen
Assed Haddad
author_sort Zixuan Chen
title Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
title_short Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
title_full Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
title_fullStr Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
title_full_unstemmed Optimising Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Nontropical Regions of Australia
title_sort optimising window design on residential building facades by considering heat transfer and natural lighting in nontropical regions of australia
publisher MDPI AG
series Buildings
issn 2075-5309
publishDate 2020-11-01
description Windows account for a significant proportion of the total energy lost in buildings. The interaction of window type, Window-to-Wall Ratio (WWR) scheduled and window placement height influence natural lighting and heat transfer through windows. This is a pressing issue for nontropical regions considering their high emissions and distinct climatic characteristics. A limitation exists in the adoption of common simulation-based optimisation approaches in the literature, which are hardly accessible to practitioners. This article develops a numerical-based window design optimisation model using a common Building Information Modelling (BIM) platform adopted throughout the industry, focusing on nontropical regions of Australia. Three objective functions are proposed; the first objective is to maximise the available daylight, and the other two emphasize undesirable heat transfer through windows in summer and winter. The developed model is tested on a case study located in Sydney, Australia, and a set of Pareto-optimum solutions is obtained. Through the use of the proposed model, energy savings of up to 8.57% are achieved.
topic multi-objective
optimisation
Revit
dynamo
Building Information Modelling
window design
url https://www.mdpi.com/2075-5309/10/11/206
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