Energy Efficiency In Lighting Systems Using Fuzzy Logic Control

Abstract

Energy consumption is increasing in daily life along with the development of human life. The most widely used energy source in everyday life is light. In tropical areas and islands such as Bangka Belitung, the intensity of light changes rapidly. Sunny weather in the morning turns dark in the afternoon. This change will certainly affect the energy consumption of the lamp. The lights are often turned on in dark weather conditions, but people forget to turn them off when the weather has turned bright. In this study, fuzzy logic control was used to adjust the intensity of the lamp light with input from light in the surrounding environment and processed through lamp dimming according to the fuzzy rule. The highest error reached 2.61% in the "Light" condition. The average error with 5 sample data was 0.64%. The electric power sensor has been tested valid with an error percentage of 3.2%. The test data was taken at Polman Babel (1° 51' 8" S 106° 7' 51" E), which was a campus with geographical conditions close to the coastline. The implementation of this system can achieve power savings of 52.12% during the day.

Fuzzy Logic Controller Design for Intelligent Lighting and Air-Conditioning Management Systems

“…In an era where environmental challenges are increasingly pressing and awareness of the importance of energy efficiency is increasing, innovative thinking in resource management is crucial. Commercial and residential buildings are significant contributors to global energy consumption, with much of it used for lighting and space cooling [1] [2]. Thus, intelligent building automation systems are one of the most researched areas, driven by the high demand for economical systems designed to provide enjoyable controlled spaces for various organizations [3].…”