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Optimising window design on residential building facades by considering heat transfer and natural lighting in nontropical regions of Australia

Chen, Zixuan, Hammad, Ahmed W. A., Kamardeen, Imriyas and Haddad, Assed 2020, Optimising window design on residential building facades by considering heat transfer and natural lighting in nontropical regions of Australia, Buildings, vol. 10, no. 11, doi: 10.3390/buildings10110206.

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Title Optimising window design on residential building facades by considering heat transfer and natural lighting in nontropical regions of Australia
Author(s) Chen, Zixuan
Hammad, Ahmed W. A.
Kamardeen, ImriyasORCID iD for Kamardeen, Imriyas orcid.org/0000-0001-7296-3605
Haddad, Assed
Journal name Buildings
Volume number 10
Issue number 11
Article ID 206
Total pages 27
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2020-11
ISSN 2075-5309
Keyword(s) multi-objective
optimisation
Revit
dynamo
Building Information Modelling
window design
window type
window position
window-to-wall ratio
Summary 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.
Language eng
DOI 10.3390/buildings10110206
Indigenous content off
Field of Research 1201 Architecture
1202 Building
1203 Design Practice and Management
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, The Authors
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145531

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.