Multi-objective optimisation framework for designing office windows

quality of view, daylight and energy efficiency

Peiman Pilechiha, Mohammadjavad Mahdavinejad, Farzad Pour Rahimian, Phillippa Carnemollad, Saleh Seyedzadeh

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Article number114356
Number of pages23
JournalApplied Energy
Volume261
Early online date3 Jan 2020
DOIs
Publication statusE-pub ahead of print - 3 Jan 2020

Fingerprint

Multiobjective optimization
energy efficiency
Energy efficiency
Office buildings
Systems analysis
Daylighting
Architectural design
Dynamic loads
architectural design
Lighting
Decision making
office
climate conditions
energy
Geometry
decision making
geometry
methodology
climate
method

Keywords

  • multi-objective optimisation
  • quality of views
  • window design
  • daylight
  • building energy usage
  • office design

Cite this

Pilechiha, Peiman ; Mahdavinejad, Mohammadjavad ; Pour Rahimian, Farzad ; Carnemollad, Phillippa ; Seyedzadeh, Saleh. / Multi-objective optimisation framework for designing office windows : quality of view, daylight and energy efficiency. In: Applied Energy. 2020 ; Vol. 261.
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Multi-objective optimisation framework for designing office windows : quality of view, daylight and energy efficiency. / Pilechiha, Peiman; Mahdavinejad, Mohammadjavad; Pour Rahimian, Farzad; Carnemollad, Phillippa; Seyedzadeh, Saleh.

In: Applied Energy, Vol. 261, 114356, 01.03.2020.

Research output: Contribution to journalArticle

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AU - Pilechiha, Peiman

AU - Mahdavinejad, Mohammadjavad

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AU - Seyedzadeh, Saleh

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