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Development of a bioclimatic wind rose tool for assessment of comfort wind resources in Sydney, Australia for 2013 and 2030

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Abstract

This study assessed the effect of wind on human thermal comfort by preforming outdoor urban climatic comfort simulations using state-of-the-art heat-balance models of human thermo-physiology (Universal Thermal Climate Index—UTCI). A series of simulations for computing “wind cooling potential” have been performed using the UTCI index temperatures. The comfort cooling effect of wind has been estimated by modelling with wind taken into account, and under calm wind (0.05 m/s) (ΔUTCI). A novel wind rose biometeorological data visualisation tool that integrates an additional thermal comfort dimension into the conventional climatology wind rose visualisation was developed in this study. The new wind rose graphic tool identifies “predominant” wind directions, and whether or not they are “desirable” from the human thermal comfort point of view. This tool’s utility lies in its identification of the optimal building orientation in its surrounding urban morphology, based on the cooling potential of wind resources when enhanced ventilation is desirable for thermal comfort.

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Notes

  1. Based on the random nature of the wind, the fluctuation in wind direction would typically be ±30° and the wind speed at low mean wind speed (e.g.10 kph) would fluctuate between 0 and 20 kph depending on the averaging duration which from the BoM is typically 10 minutes before the half hour or hour time stamp.

  2. There is no definitive guidance in the literature identifing the air temprature at which the evaporative heat loss derived from elevated air speed becomes outweighed by the convective heat gains from the hot air to the body (see Gagnon et al. 2008), suggesting that more work needs to be done on this question.

Abbreviations

A:

Long wave radiation from the atmosphere (Wh/m2)

Clo:

Clothing insulation worn by building occupants (clo)

D:

Diffuse solar horizontal radiation (Wh/m2)

e :

Vapour pressure (hPa)

G:

Global solar horizontal radiation (Wh/m2)

r :

Moisture (g/kg dry air)

Met:

Human Metabolic rate (W/m2)

MRT:

Mean radiant temperature (°C)

Ta:

Air temperature (°C)

TMY:

Typical Meteorological Year

UTCI:

Universal Thermal Climate Index (°C)

V :

Wind speed (m/s)

Δ UTCI:

Wind cooling potential (°C)

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Acknowledgments

This research project was financially supported by the Centre for Infrastructure Engineering (CIE) at the Western Sydney University (WSU) and the School of Architecture, Design and Planning at the University of Sydney. Authors would like to express their thanks to Dr. Martin Belusko of The University of South Australia for help with Typical Meteorological Year files.

Author information

Authors and Affiliations

  1. School of Architecture, Design & Planning, The University of Sydney, NSW, 2006, Australia

    Mahsan Sadeghi & Richard de Dear

  2. Arup, Sydney, 2000, Australia

    Graeme Wood

  3. Centre for Infrastructure Engineering, Western Sydney University, Sydney, 2751, Australia

    Bijan Samali

Authors
  1. Mahsan Sadeghi
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  2. Richard de Dear
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  3. Graeme Wood
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  4. Bijan Samali
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Corresponding author

Correspondence to Richard de Dear.

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Sadeghi, M., de Dear, R., Wood, G. et al. Development of a bioclimatic wind rose tool for assessment of comfort wind resources in Sydney, Australia for 2013 and 2030. Int J Biometeorol 62, 1963–1972 (2018). https://doi.org/10.1007/s00484-018-1597-0

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  • DOI: https://doi.org/10.1007/s00484-018-1597-0

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