Intelligent Ambient Light-Controlled Street Lighting System for Power Optimization

Street lighting is a significant expense for many cities, primarily due to the high power consumption of sodium vapour lamps.The financial resources allocated to street lighting could be better utilized for other developmental projects.Traditional manual systems, which turn lights on in the evening and off in the morning, often result in substantial energy wastage.This paper proposes an automated system to address these issues, leveraging ambient light sensors to dynamically adjust street light intensity based on surrounding brightness.This eliminates the need for rigid time-based operation schedules, reducing energy consumption and associated costs.The proposed system is cost-effective and easy to maintain, employing Arduino and Light Dependent Resistors (LDRs) to monitor environmental light levels and control the brightness of LED streetlights accordingly.By replacing High-Intensity Discharge (HID) lamps with LED clusters, the system offers a more energy-efficient solution, consuming approximately one-third to one-half of the power required by HID lighting.Additionally, LEDs have a lifespan over three times longer than HID lamps, minimizing maintenance and replacement efforts.This intelligent street lighting system not only enhances energy efficiency but also contributes to significant long-term savings and sustainability.