Evaluation of daylight prediction algorithms in building energy performances under heavily obstructed urban topography

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Publication statusPublished - 2 Aug 2021

Conference

Title9th Global Conference on Global Warming (GCGW-2021)
LocationVirtual
PlaceCroatia
Period1 - 4 August 2021

Abstract

This study is aimed at evaluating the performances of different daylight calculation algorithms and selection of sky luminance distribution models for the lighting and whole building energy prediction under severe external obstruction. Illuminances predicted by climate-based daylight modelling using RADIANCE and split-flux algorithm within EnergyPlus are used to determine the responses of daylight-linked lighting control systems under different weather conditions. The influence of using different sky luminance distribution models including all- weather model and two ASRC-CIE models on the artificial lighting and building energy performances were investigated. A shopping mall model equipped with side-lit function rooms and atria is employed for this study. The calculation algorithms containing higher impacts on the indoor daylight level and energy consumption, for areas mainly illuminated by skylight such as atria are also sensitive to the selection of sky luminance distribution models compared with side-lit perimeter zones.

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Evaluation of daylight prediction algorithms in building energy performances under heavily obstructed urban topography. / Tsang, Ernest Kin Wai; Li, Danny; Aghimien, Emmanuel.

2021. Paper presented at 9th Global Conference on Global Warming (GCGW-2021), Croatia.

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)peer-review