| Summary: | Recently, the demand for intelligent, energy-efficient lighting systems has increased due to rising environ-mental concerns and increasing electricity consumption in smart room environment buildings. Conventional lighting systems often operate inefficiently, using outdated bulb technologies and lacking automation, which results in substantial energy waste, especially in rooms with variable occupancy. Lighting significantly contributes to energy consumption in indoor spaces, which presents vast opportunities for smart lighting model development through automation and adaptive control. This study proposes a smart lighting system model for room environments that dynamically adapts to user presence and supports diverse light bulb types. The study analyzes energy usage while maintaining automatic light control and operational effectiveness through simulation. The system is developed using AnyLogic by integrating agent-based and discrete event simulation to model occupant behavior and manage event-driven lighting logic. It incorporates sensors, smart door mechanisms, and energy-measuring processes, all powered by solar energy and managed through battery storage. The system dynamically adjusts lighting based on occupancy, minimizing idle energy usage for the room. LED bulbs offer more promising energy efficiency, while incandescent bulbs show the highest consumption. The outcome provides a visualized simulation model for designing adaptive lighting systems and reinforces the potential to enhance energy efficiency to support sustainability in smart room applications.
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