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Issue 1.2

Model-based Optimization for Architectural Design: Optimizing Daylight and Glare in Grasshopper

This paper describes a novel simulation method for measuring the amount of buzz or productive congestion in an interior architectural space. This “buzz metric” first predicts the amount and distribution of congestion based on a simulation of walking paths and, then, computes the extent to which this congestion is distributed across the space. Unlike dynamic methods for simulating occupant behavior such as agent-based crowd simulation, our method is computed statically, and thus is fast enough to be used in an automated generative design (multiobjective optimization) workflow. After describing how the metric is calculated, the paper demonstrates how it can be used in an automated generative design process through a case study of the design of an exhibit hall.

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