Performance of artificial lighting using genetics algorithms

The needs of lighting in a room can be achieved from a natural illumination such as sun-shines and also from a artificial lighting or the combination of both natural and artificial lighting. For artificial lighting, people use mostly electric lamp, which needs an innovation to maintain the usage of electric lamp. Good lighting system will enable users to optimized artificial lighting usage in a room and also good to save energy. In this research we analyze the performance of artificial lighting using genetics algorithms to search the best candidate. The simulation is done in a room using 4 different types of lamp which is tube lamp (TL), fluorescent lamp, neon lamp, and halogen lamp. The simulation results show that maximum power efficiency is 3,1289 watt/m2 from 16 TL lamp with 250,231 of illumination intensity.