Latitude variation and its influence on rules of thumb in daylighting

Ibrahim, Nik Lukman Nik; Hayman, Simon

doi:10.1080/00038628.2010.9685341

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…In addition, a WFR range of 10% to 40% is adopted to restrict glazing areas. A general design rule of thumb for WFR is 20% to 25%, whereas this does not factor in the impacts of the geographical locations of different projects [82]. In this study, the lower bound 10% is a threshold for natural lighting requirements clearly stated in the NCC Volume Two [56].…”

Section: Variable Selectionmentioning

confidence: 99%

“…In this study, the lower bound 10% is a threshold for natural lighting requirements clearly stated in the NCC Volume Two [56]. Although there is no empirical data that specifies an allowance for WFR in Sydney region, a 10% average daylight factor, which is considered the maximum allowed for the interior [83], was obtained by Ibrahim and Hayman [82] when the WFR was between 30% to 40% in Sydney. In the interest of brevity, this case study took 40% as the upper bound.…”

Section: Variable Selectionmentioning

confidence: 99%

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

et al. 2020

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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.

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Section: Variable Selectionmentioning

confidence: 99%

Section: Variable Selectionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In addition, a WFR range of 10% to 40% is adopted to restrict glazing areas. A general design rule of thumb for WFR is 20% to 25%, whereas this does not factor in the impacts of the geographical locations of different projects [35]. In this study, the lower bound 10% is a threshold for natural lighting requirement clearly stated in the NCC Volume Two [54].…”

Section: Case Studymentioning

confidence: 99%

“…In this study, the lower bound 10% is a threshold for natural lighting requirement clearly stated in the NCC Volume Two [54]. Although there is no empirical data that specifies an allowance for WFR in Sydney region, a 10% average daylight factor, which is considered as the maximum allowed for the interior [86], was obtained by Ibrahim & Hayman [35] when the WFR is between 30% to 40% in Sydney. In the interest of brevity, this case study took 40% as the upper bound.…”

Section: Case Studymentioning

confidence: 99%

Optimizing Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Non-tropical Regions of Australia

Chen¹,

Hammad²,

Kamardeen³

et al. 2020

Preprint

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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 would influence the natural lighting and heat transfer through windows. This is a pressing issue for non-tropical 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 non-tropical regions of Australia. Three objective functions are proposed; the first objective is to maximize the available daylight, and the other two emphasize on the undesirable heat transfer through windows in summer and winter respectively. 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 16.43% are achieved. Key findings on the case example indicate that leveraging winter heat gain to reduce annual energy consumption should not be the top priority when designing windows for Sydney.

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Daylighting simulation and visualisation: Navigating challenges in accuracy and validation

Nazari,

Matusiak

2024

Energy and Buildings

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Latitude variation and its influence on rules of thumb in daylighting

Cited by 4 publications

References 2 publications

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

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

Optimizing Window Design on Residential Building Facades by Considering Heat Transfer and Natural Lighting in Non-tropical Regions of Australia

Daylighting simulation and visualisation: Navigating challenges in accuracy and validation

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