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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2020-11-01
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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 |
work_keys_str_mv |
AT zixuanchen optimisingwindowdesignonresidentialbuildingfacadesbyconsideringheattransferandnaturallightinginnontropicalregionsofaustralia AT ahmedwahammad optimisingwindowdesignonresidentialbuildingfacadesbyconsideringheattransferandnaturallightinginnontropicalregionsofaustralia AT imriyaskamardeen optimisingwindowdesignonresidentialbuildingfacadesbyconsideringheattransferandnaturallightinginnontropicalregionsofaustralia AT assedhaddad optimisingwindowdesignonresidentialbuildingfacadesbyconsideringheattransferandnaturallightinginnontropicalregionsofaustralia |
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