Impact of geometrical resolution on long-term climate-based daylight metrics
N. Forouzandeh Shahraki (TU Delft - Environmental & Climate Design)
E. Brembilla (TU Delft - Environmental & Climate Design)
J.E. Stoter (TU Delft - Urban Data Science)
Liangliang Nan (TU Delft - Urban Data Science)
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Abstract
3D modeling of indoor spaces is a prerequisite for daylight simulation, and the accuracy of the 3D models has a significant impact on the simulation. The goal of this study was to quantify the errors caused by modeling indoor spaces at different accuracy levels to find the optimal balance between the reliability of the results and labor investment. For this purpose, we introduce a level of detail (LOD) concept for indoor spaces based on the size of non-permanent indoor objects by inclusion and exclusion from the simulation scene. The errors corresponding to models with low accuracies are measured by climate-based simulation using an improved two-phase method. Our results show that inaccurate modeling of indoor spaces causes between 10-70% error in TAI with 25% median across all spaces.