Aerodynamic shape optimization of rectangular and elliptical double-skin façades to mitigate wind-induced effects on tall buildings

Double-skin façades (DSFs) are high-efficiency systems traditionally used to improve the natural ventilation of buildings for energy-saving purposes and their aesthetic improvement. There opportunities enhance functionality by applying them building aerodynamics. This study aims at developing preliminar data set that would assist with design smart morphing facades (also known as Smorphacades). For this purpose a DSF rectangular elliptical tall is studied final goal minimizing aerodynamic loads on such structures. purpose, an integrated framework including numerical modeling statistical analysis was developed. The experiment (DOE) method applied produce sufficient dataset based computational fluid dynamics (CFD) simulation two-dimensional (2D) scaled models were validated available wind tunnel data. According points recommended DOE method, considerable number CFD simulations performed, drag coefficients double-skin façade separately calculated. A prediction model response surface methodology (RSM) developed estimate coefficient other cases inside space. Based fitted RSM, Genetic algorithm search optimized Smorphacade shapes. results indicated smorphacade system could significantly mitigate wind-induced forces all attack angles modifying pressure around weakening vortex shedding interrupting flow separation ejecting airflow into lower-pressure area. research proves there opportunitie integarte architectural energy applications double skin wind-reducing effects promising solution overcoming existing challenges controlling load buildings.