Daylight Prediction In Individual Floors Using Well Index

This research is focused on assessing daylight performance in different floors based on the building proportion. Previous studies showed that atrium with the same Well Index (proportion) will receive the same daylight. This study aims to examine the relation between daylight in different floors of a building, using Well Index. Using DIVA for Rhino and DesignBuilder as the optimized daylight and energy simulation tools, this paper employs Daylight Autonomy (DA) and thermal performance as measured metrics. The research findings have demonstrated that Well Index can be a valid indicator to characterize proportion for assessing daylight at individual floors in buildings. This methodology improves the existing research method by proving that spaces with the same Well Index will have very close dynamic daylight metrics under the same condition, assumptions and material properties.