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

Abstract

Model-based optimization is an innovative optimization strategy and particularly appropriate for time-intensive performance simulations. To demonstrate this appropriateness, this paper reviews simulation-based optimization algorithms and benchmarks several (single- and multi-objective) optimization tools on two problems involving annual daylight and glare simulations. The benchmarks demonstrate that model-based optimization outperforms other (single- and multi-objective) approaches on time-intensive, simulation-based optimization problems and thus puts new applications within reach. In this way, model-based optimization aids architectural designers and consultants to develop more resource- and energy-efficient buildings.