An optimization-based control of indoor lighting: A comparative study between Particle Swarm Optimization and Firefly Algorithm

The main factor of employee comfort in the workplace is the lighting system, where it can provide productivity and reduce stress while doing work if getting enough lighting. In fact, proper lighting is needed to improve the performance of work, increase the appearance of the area and has a positive psychological effect on the occupancy in the building. The increasing number of buildings in Malaysia leads to the difficulty of managing the distribution of the electricity and saving energy usage due to inefficient system for lighting distribution. There are many types of lighting system and these system have different performance in terms of radiated heat, long lifetime, energy efficiency, power consumption and others. Hence, in order to identify the optimal dimming level and energy consumption, this paper present the comparison between light emitting diode (LED) and fluorescent luminaires using particle swarm optimization (PSO) algorithm and firefly algorithm (FA). In this study, the comparative results show that the advantages of the PSO algorithm with using LED luminaires, significant energy savings up to 50.4% and fully satisfied the average illuminance value accordance with MS-1525.