Iluminação dimerizável em salas de aula de um smart campus: impactos na economia de energia

Abstract

This research examined the application of the Internet of Things (IoT) in intelligent lighting control within an educational context, specifically addressing energy conservation and user comfort in a computer laboratory at the Federal University of Technology – Paraná, Toledo campus. A system comprising dimmable LED panels, ambient light sensors, and IoT devices interfaced with Home Assistant was deployed. The objective was to facilitate automated light intensity adjustments synchronized with natural daylight levels, in adherence to the ABNT NBR ISO/CIE 8995 standard. Although full real-time dynamic control was constrained by technical limitations, manual dimming yielded an approximate 20% reduction in energy consumption without detriment to visual comfort within the space. These findings highlight the considerable capacity of IoT-driven automation to improve energy efficiency in academic settings, thereby demonstrating the technical and economic feasibility of adopting cost-effective solutions. This study contributes to the ongoing development of the smart campus paradigm and underscores the necessity for more refined sensor technologies and robust control architectures to achieve comprehensive dynamic automation in subsequent implementations.