On The Intersection
PARAMETRIC, GENETIC ALGORITHM, OPTIMIZATION
-Optimized Building Form by Using Genetic Algorithm and Application to Multi-dimentional Development Design-
Research Year : 2019 Type : Community Location : Seoul, Korea Design Team : Tae joo Jeon, Woo Hyoung Lee
Taking notice of the environmental impact on urban densification due to the recently promoted multi-dimensional development at the space above an existing road, this design proposes an alternative architectural design.
It applies a genetic algorithm for optimization to minimize the environmental impacts on the neighboring area. To that end, an example with certain conditions is set and a building design is derived using a genetic algorithm for optimization linked with environmental data.
The area above the multi-dimensional intersection with an urban context is selected as an example and a plan for the whole building is derived based on the optimized form linked to the building and the surrounding solar radiation conditions. Rhino and Grasshopper, which are parametric design tools; Ladybug, which is an environmental analysis add-on; and Galapagos, which is a genetic algorithm add-on, are used. The Energy Plus Weather(EPW) Data, provided by the U.S. Department of Energy, is also used. First, through shadow analysis, an architectural form that minimizes shadow on road surfaces and adjacent areas by the building is derived. Second, another form adjusted to optimize the solar radiation on the building's own envelope is derived. This form provides an appropriate level of fenestration responding to the solar radiation level by calculating the optimum positions and sizes of the openings based on the Diagrid Module Paneling.
On The Intersection
PARAMETRIC, GENETIC ALGORITHM, OPTIMIZATION
-Optimized Building Form by Using Genetic Algorithm and Application to Multi-dimentional Development Design-
Research Year : 2019 Type : Community Location : Seoul, Korea Design Team : Tae joo Jeon, Woo Hyoung Lee
Taking notice of the environmental impact on urban densification due to the recently promoted multi-dimensional development at the space above an existing road, this design proposes an alternative architectural design.
It applies a genetic algorithm for optimization to minimize the environmental impacts on the neighboring area. To that end, an example with certain conditions is set and a building design is derived using a genetic algorithm for optimization linked with environmental data.
The area above the multi-dimensional intersection with an urban context is selected as an example and a plan for the whole building is derived based on the optimized form linked to the building and the surrounding solar radiation conditions. Rhino and Grasshopper, which are parametric design tools; Ladybug, which is an environmental analysis add-on; and Galapagos, which is a genetic algorithm add-on, are used. The Energy Plus Weather(EPW) Data, provided by the U.S. Department of Energy, is also used. First, through shadow analysis, an architectural form that minimizes shadow on road surfaces and adjacent areas by the building is derived. Second, another form adjusted to optimize the solar radiation on the building's own envelope is derived. This form provides an appropriate level of fenestration responding to the solar radiation level by calculating the optimum positions and sizes of the openings based on the Diagrid Module Paneling.
