Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency

Pilechiha, P; Mahdavinejad, M; Pour Rahimian, F; Carnemolla, P; Seyedzadeh, S

Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency

Pilechiha, P Mahdavinejad, M Pour Rahimian, F Carnemolla, P

Seyedzadeh, S

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Applied Energy, 2020, 261
Issue Date:: 2020-03-01

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Field	Value	Language
dc.contributor.author	Pilechiha, P
dc.contributor.author	Mahdavinejad, M
dc.contributor.author	Pour Rahimian, F
dc.contributor.author	Carnemolla, P https://orcid.org/0000-0002-2451-9427
dc.contributor.author	Seyedzadeh, S
dc.date.accessioned	2020-10-09T05:24:24Z
dc.date.available	2020-10-09T05:24:24Z
dc.date.issued	2020-03-01
dc.identifier.citation	Applied Energy, 2020, 261
dc.identifier.issn	0306-2619
dc.identifier.issn	1872-9118
dc.identifier.uri	http://hdl.handle.net/10453/143184
dc.description.abstract	© 2019 Elsevier Ltd This paper presents a new, multi-objective method of analysing and optimising the energy processes associated with window system design in office buildings. The simultaneous consideration of multiple and conflicting design objectives can make the architectural design process more complicated. This study is based on the fundamental recognition that optimising parameters on the building energy loads via window system design can reduce the quality of the view to outside and the received daylight – both qualities highly valued by building occupants. This paper proposes an approach for quantifying Quality of View in office buildings in balance with energy performance and daylighting, thus enabling an optimisation framework for office window design. The study builds on previous research by developing a multi-objective method of assessment of a reference room which is parametrically modelled using actual climate data. A method of Pareto Frontier and a weighting sum is applied for multi-objective optimisation to determine best outcomes that balance design requirements. The Results reveal the maximum possible window to wall ratio for the reference room. The optimisation model indicates that the room geometry should be altered to achieve the lighting and view requirements set out in building performance standards. The research results emphasise the need for window system configuration to be considered in the early design stages. This exploratory approach to a methodology and framework considers both building parameters and the local climate condition. It has the potential to be adopted and further refined by other researchers and designers to support complex, multi-factorial design decision-making.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Applied Energy
dc.relation.isbasedon	10.1016/j.apenergy.2019.114356
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	09 Engineering, 14 Economics
dc.subject.classification	Energy
dc.title	Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
dc.type	Journal Article
utslib.citation.volume	261
utslib.for	09 Engineering
utslib.for	14 Economics
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-09T05:24:12Z
pubs.publication-status	Published
pubs.volume	261

Abstract:

© 2019 Elsevier Ltd This paper presents a new, multi-objective method of analysing and optimising the energy processes associated with window system design in office buildings. The simultaneous consideration of multiple and conflicting design objectives can make the architectural design process more complicated. This study is based on the fundamental recognition that optimising parameters on the building energy loads via window system design can reduce the quality of the view to outside and the received daylight – both qualities highly valued by building occupants. This paper proposes an approach for quantifying Quality of View in office buildings in balance with energy performance and daylighting, thus enabling an optimisation framework for office window design. The study builds on previous research by developing a multi-objective method of assessment of a reference room which is parametrically modelled using actual climate data. A method of Pareto Frontier and a weighting sum is applied for multi-objective optimisation to determine best outcomes that balance design requirements. The Results reveal the maximum possible window to wall ratio for the reference room. The optimisation model indicates that the room geometry should be altered to achieve the lighting and view requirements set out in building performance standards. The research results emphasise the need for window system configuration to be considered in the early design stages. This exploratory approach to a methodology and framework considers both building parameters and the local climate condition. It has the potential to be adopted and further refined by other researchers and designers to support complex, multi-factorial design decision-making.

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http://hdl.handle.net/10453/143184