The Optimized Box
PARAMETRIC, GENETIC ALGORITHM, OPTIMIZATION
-Optimized Building Envelope by Using Genetic Algorithm and Application to Building Design-
Research Year : 2019 Type : Office Location : Seoul, Korea Design Team : Moon Yeon Lee, Jae Yong Yu, Woo Hyoung Lee
This design focuses on the social concerns about the energy efficiency exposed by the glass panel curtain wall building and proposes a novel green architectural design alternative using the optimization genetic algorithm. To do this, we set up an example to give a specific condition and derive a new building design that reflects the computation result derived from the optimization genetic algorithm based on the environmental data.
As an example, we select the old glass panels curtain wall buildings surrounded by adjacent buildings and draw up a renovation plan for the buildings, focusing on the exterior design to improve the energy performance of the building. To this end, we use Rhino, Grasshopper, which are the parametric design tools most commonly used by architects, and Ladybug, an add-on for environmental analysis, and the Galapagos genetic algorithm add-on. First, through the ladybug, we identify the area of different the solar radiation levels that reflects the influence of each facades’orientation and the neighboring buildings, and use it as a scope to determine the further shading design. The proposed envelope is based on the unitized curtain wall system integrated with the exterior shading device with BIPV and reflects the computation results of the optimum angle and depth of the shading unit derived from Galapagos that provides an appropriate level of screening solar radiation to respond.
The Optimized Box
PARAMETRIC, GENETIC ALGORITHM, OPTIMIZATION
-Optimized Building Envelope by Using Genetic Algorithm and Application to Building Design-
Research Year : 2019 Type : Office Location : Seoul, Korea Design Team : Moon Yeon Lee, Jae Yong Yu, Woo Hyoung Lee
This design focuses on the social concerns about the energy efficiency exposed by the glass panel curtain wall building and proposes a novel green architectural design alternative using the optimization genetic algorithm. To do this, we set up an example to give a specific condition and derive a new building design that reflects the computation result derived from the optimization genetic algorithm based on the environmental data.
As an example, we select the old glass panels curtain wall buildings surrounded by adjacent buildings and draw up a renovation plan for the buildings, focusing on the exterior design to improve the energy performance of the building. To this end, we use Rhino, Grasshopper, which are the parametric design tools most commonly used by architects, and Ladybug, an add-on for environmental analysis, and the Galapagos genetic algorithm add-on. First, through the ladybug, we identify the area of different the solar radiation levels that reflects the influence of each facades’orientation and the neighboring buildings, and use it as a scope to determine the further shading design. The proposed envelope is based on the unitized curtain wall system integrated with the exterior shading device with BIPV and reflects the computation results of the optimum angle and depth of the shading unit derived from Galapagos that provides an appropriate level of screening solar radiation to respond.
