Solar optimization of complex architectural geometry using generative tools, simulation and search algorithms
The paper presents a possible solution for iterative optimization of a complex architectural form for solar performance. The proposed work flow makes use of the new directions of evolution of digital design, namely parametric or otherwise known. algorithmic architecture. The case study presented demonstrates the simultaneous linked use of two CAD programs and several plug-ins that connect form generation with environmental simulation in an iterative loop that improves the design with each step. In order to tackle the extraordinary number of variants resulted form the large number of variables a search algorithm engine is used. As a conclusion the findings of the stochastic search are compared to a standard solution to be able to compare the magnitude of the optimized variant versus a standard flat variant.
Keywords: architectural, optimization, digital, parametric, design, Rhino, Grasshopper, genetic, algorithm, meta-heuristic, Ecotect