WIND PAVILION

This paper is to develop a design strategy to find an aerodynamic form for a pavilion that is optimized to generate on-site electricity from wind turbines that is hidden inside the pavilion. Unlike the open field, where no obstructions are nearby, the most significant limitation of wind turbine applications in urban areas can be found in its complexity of the surrounding site conditions. It is challenging to design a wind turbine near an urban area. For that reason, the paper demonstrates a design method that integrates different computational tools such as machine learning algorithms and computational fluid dynamics (CFD) to find the geometry that can maximize site-specific wind potential to overcome the particular limitation of installing wind turbines in urban areas. The result shows improvement of wind speed near wind turbine.