Daylight results shown through Mr.Comfy alone are currently quite “raw”; using DIVA4Rhino, a Rhinoceros3d interface for Daysim & Radiance from which it is easy to launch Daysims run to generate source data for mapping, makes it straight-forward to combine formal daylight metrics with concurrent thermal data display.
Climate-based daylight simulation is commonly used in building optimization to simulate and map a design’s probable daylight distribution through metrics such as daylight autonomy or useful daylight illuminance. In the classes that inspired Mr.Comfy, I tested and made heavy use of DIVA, which performs daylight simulations and spatially represents data. Results showed that architects’ design performance knowledge is greatly improved through space-based metrics mapping; combining DIVA daylight displays with Mr.Comfy thermal visualizations is therefore a good way to gain even greater insights into projected design behavior- and to better communicate it to an audience possibly not familiar with abstract data representations.
A schedule-synched mapping of daylight availability (500 lux), useful daylight illuminance > 2000 lux and combined average heating/cooling rate of the “Cupertino” sample building shows the spatial coincidence of overlit areas with zones consuming the most energy for thermal conditioning. A very successful design would achieve a balancing of visually comfortable daylight provision with reduced conditioning energy use and a possible increase in thermal comfort.