jailcd2020011: Optimizing Daylight Illumination in Indonesia through Generative Design

Abstract

Residential and commercial sector has reached 20% to 40% of the total energy consumption, and this growing trend is still happening. Moreover, the electricity consumption in the building and construction process is the main reason for the growth of carbon emission. So-called Multi-Objective Optimization is an area in multiple design criteria decision making that is concerned in a mathematical calculation to produce more than one target objectives. This paper will introduce the platform to optimize the daylight illumination of one room simulated in three different cities of Indonesia, which are Bandung, Lampung, and Jakarta. The optimized variables of the room to be measured are the windows height, percentage of the opening, degree of the building orientation, and the length of windows overhang. The analysis recipe will be the annual hottest day, which is 22 December at 2 PM. The results show that the desired and undesired number of test points targeted to have 200-300 lux of illumination, which is the standard visual comfort from the national standard of Indonesia, does not depend on the movement of a single parameter. The reason for this is implicated by the number of solutions iterated genetically through the parametric platform.