Abstract:
This paper presents parametric and multi-objective optimization (MOO) approach in optimizing daylight and energy consumption by incorporating louvres shading devices depicting three different sky conditions: Birmingham, UK, Jakarta, Indonesia, and Sydney, Australia. The study aims to observe the best louvre design configuration for each given context. The proposed optimization system iterates the logic of the louvre shading device as the dynamic design parameters such as overhang, blade size, spacing, and blade rotation, together with the room orientation to achieve maximum useful daylight illuminance (UDI) and the shading aperture while simultaneously reduces energy consumption. A total of 8509 simulations for three cities have been run and distributed for the purpose of this research. The results of MOO stated an improvement in UDI for Birmingham, Jakarta, and Sydney of 80%, 146.26%, and 79.48%, and cooling energy consumption of 28%, 3.26%, and 2.99% respectively.
Keywords:
Energy consumption
,
Daylight
,
Parametric design
,
Louver shading