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open platform
Shadow House
DATA  DRIVEN  DESIGN,  DATA  CRAFTING,  OPTIMIZATION
-Optimizes the Building Volume and Spatial Configuration by the Urban Data -
Private, Research
Year : 2014
Type : Residential
Location : Gyeonggi, Uijeongbu, Korea
Design Team :
Woo Hyoung Lee, Hyun Ki Yun, Myeung Suk Song

The project pursues house design by the exemplary methodology as an expanded development of previous study on utilizing data-based optimization algorithm. The proposed design is derived from algorithm that optimizes building volume and spatial configuration to satisfy pre-defined programmatic requirements by utilizing the data analysis of the characteristics of illuminance of the site affected by adjacent high-rise buildings. Implemented processes are following. First, setting up maximum building volume and site layout that consider the legal limit. Second, conducting shadow analysis of building footprint per designated floor heights according to different times of equinoxes. Third, creating frame work by converting linear data into three-dimensional diagram. The generated diagram forms the spatial framework which has been divided according to the level of illuminance. Fourth, developing optimization algorithm for optimal volume and spatial configuration that fulfill the spatial relationship requirements according to room area and between rooms are generated.
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform

TOP

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>

open platform
Shadow House
DATA  DRIVEN  DESIGN,  DATA  CRAFTING,  OPTIMIZATION
-Optimizes the Building Volume and Spatial Configuration by the Urban Data -
Private, Research
Year : 2014
Type : Residential
Location : Gyeonggi, Uijeongbu, Korea
Design Team :
Woo Hyoung Lee, Hyun Ki Yun, Myeung Suk Song

The project pursues house design by the exemplary methodology as an expanded development of previous study on utilizing data-based optimization algorithm. The proposed design is derived from algorithm that optimizes building volume and spatial configuration to satisfy pre-defined programmatic requirements by utilizing the data analysis of the characteristics of illuminance of the site affected by adjacent high-rise buildings. Implemented processes are following. First, setting up maximum building volume and site layout that consider the legal limit. Second, conducting shadow analysis of building footprint per designated floor heights according to different times of equinoxes. Third, creating frame work by converting linear data into three-dimensional diagram. The generated diagram forms the spatial framework which has been divided according to the level of illuminance. Fourth, developing optimization algorithm for optimal volume and spatial configuration that fulfill the spatial relationship requirements according to room area and between rooms are generated.
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform
open platform