Assessment on the Optimal Dimming Level in Lighting System between Firefly Algorithm and Particle Swarm Optimization Algorithm

Abstract

The lighting system is one of the main systems in the building and contributes a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in the lighting system for control and minimize energy consumption from artificial lighting. The main objective of the lighting system is to minimize the dimming level of the luminaires. The optimization method was used in this research to solve the problem formulation in the lighting control system. There are several benefits by using optimization methods such as energy-saving while fulfilling the standard of the average illuminance level based on the European Standard EN12464-1 for the occupancy comfort. In this research, the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) algorithm were compared in order to determine the best optimization method which can solve the problem formulation in the lighting system. The simulation result for FA and PSO has been carried out using MATLAB software. Based on the results, the PSO algorithm shows high performance compared to FA method in order to minimize the dimming level.