Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

• Published in: Journal of low power electronics and applications Vol. 14; no. 1; p. 6
• Main Authors: Widartha, Vandha Pradwiyasma, Ra, Ilkyeun, Lee, Su-Yeon, Kim, Chang-Soo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2024
• Subjects: Algorithms; Analysis; Automation; Brightness; Control systems; Data collection; Data entry; Daylight; Energy conservation; Energy consumption; Energy efficiency; Energy management systems; Energy use; Green buildings; Internet of Things; Light emitting diodes; Light sources; Lighting; Lighting systems; Monitoring; Prototypes; Real time; recommendation system; rule-based heuristic; Sensors; smart lighting system
• ISSN: 2079-9268; 2079-9268
• DOI: 10.3390/jlpea14010006

Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.