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A simplified method of calculating annual climate-based daylighting metrics, Daylight Autonomy (DA), can help architects quickly understand annual daylighting performance during the design stage. However, generating building models and calculating annual simulations are both laborious and time-consuming. In order to offer architects a quick method of predicting DA within an atrium and adjacent spaces in interior shopping streets, this paper presents a quantitative model between spatial parameters and DA300 values. First, spatial parameters and daylighting performance within 28 interior shopping streets were examined. Then, three typical atrium spaces and the thresholds of associated spatial parameters were extracted from descriptive statistical analysis. Orthogonal test was used to test variables in daylight simulations using DIVA-for-Rhino. Other statistical analysis methods include the differential analysis, the correlation analysis, and the regression analysis. The formulas of using important spatial parameters for each atrium type to predict DA300 values at representative points are concluded. An excel sheet is programmed for architects to quickly obtain DA300 values by modifying these spatial parameters.

A Simplified Method Of Calculating Daylight Autonomy Through Spatial Parameters For Atriums In Shopping Streets