Optimized Program Design

A ‘fast and dirty’* study for my current studio project, done early on in the design process, that aims to size the environmental features of a prototypical building section. This analysis uses Honeybee and Ladybug for Grasshopper and DesignExplorer to map the resulting patterns. In this case, a residential(north) and office(south) space are bifurcated by an atrium, and enclosed on the north and south by a double-facade. Essentially, the assembly aims to strategically place and size a series of buffer spaces to reduce the loads in the program areas. Parameters investigated are depth of the double-facades (height is fixed to building height), as well as depth and height of the center atrium. The site is located in Seattle, and the analysis period is during the coldest week, between January 13 – 19. These spaces are unconditioned.

Optimum configuration reduces RH in the buffer zones while maximizing operative temperature in the permanent occupied zones. Overall the most optimum configuration one that minimizes the construction, while optimizing space. In the images below, operative temperatures are displayed for the spaces. Given the parameters specified, patterns emerge and an optimized solution results.
* I say fast-and-dirty because as you might notice, the residential portion is in the red. This is a result of the upper bound being 15° (the residential here, is actually in the 22° range, which is quite acceptable for an unconditioned space during the coldest period of the year).

These are a sample of the 400+ iterations created by the study


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