Documents and outlines a part of the process used in the daylighting performance analysis of a typical classroom design for a proposed K-12 school in Greensburg, KS. A computer simulation program was used for the optimization process because of its ability to compute climate based annual daylight availability and report the results in the form of dynamic daylight metrics such as Daylight Autonomy (DA%), Useful Daylight Illuminances (UDI) and Daylight Saturation Percentage (DSP%). Since there was no established process for utilizing building information modeling geometry with the program, some experimentation was involved. But the overall efficiency and accuracy of the modeling process was greatly improved, compared to recreating 3D geometry from scratch. The focus was on achieving a good glare-free daylighting design and also meeting the LEED rating system's EQ credit 8.1 for daylighting.
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