PERFORMANCE-DRIVEN PARAMETRIC ARCHITECTURE VIA EVOLUTIONARY ALGORITHM
DOI:
https://doi.org/10.56238/arev7n12-139Keywords:
Thermal Performance, Evolutionary Algorithm, Parametric Architecture, Energy EfficiencyAbstract
Algorithm-Assisted Design (AAD) has become a strategic approach for developing performance-oriented architectural solutions. This research investigated the thermal behavior of a multi-family building in Palmas, Tocantins, Brazil, through the integration of parametric modeling, environmental simulation, and evolutionary algorithms. Using Grasshopper, the LadyBug and HoneyBee plugins, and the Galapagos genetic algorithm, solar irradiance simulations were performed to optimize the building's orientation and evaluate the effect of balconies as passive shading devices. The methodology included parametric modeling of block 207 South, calibration of simulation parameters, and analysis of multiple implementation scenarios and balcony dimensions. The results demonstrate that optimized configurations can reduce solar radiation incidence on the facades by more than 74%, highlighting the decisive role of parameterization and evolutionary algorithms in improving thermal performance and enhancing the environmental quality of the design process.
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