Design flow of brise's geometry using multiobjective optimization
DOI:
https://doi.org/10.46421/encac.v17i1.4038Keywords:
multiobjective optimization, genectic algorithm, design flowAbstract
Civil construction is one of the fields that most impact the environment through energy consumption, so it is necessary to examine the role of the built environment, and one of the strategies is to improve the energy efficiency of buildings from the concept stage. The aim of this article is to present a building design flow using multiobjective optimization with evolutionary algorithms to assist designers. Thus, the study was applied in a brise of a simplified environment in the city of Campo Grande, MS. Building materials suitable for the bioclimatic zone in which the city is located were considered. The objectives analyzed were the incident solar radiation and daylighting on the indoor environment and the brise area. The chosen softwares were Rhinoceros® and Grasshopper® with Ladybug®, Honeybee® and Wallacei® plugins. It was possible to find ten alternatives according to the Pareto solution, achieving results from the proposed design flow; in this sense, it was possible to visualize the information so that one could choose according to the most relevant criteria, allowing to assist the design process.
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