Vadi Seyfettin
Department of Electrical and Electronics Engineering, Faculty of Technology, Gazi University, Ankara 06500, Turkey.
Sensors (Basel). 2025 Sep 6;25(17):5579. doi: 10.3390/s25175579.
The growing demand for electricity and the urgent need to reduce environmental impact have made sustainable energy utilization a global priority. Street lighting, as a significant consumer of urban electricity, requires innovative solutions to enhance efficiency and reliability. This study presents an off-grid smart street lighting system that combines solar photovoltaic generation with battery storage and Internet of Things (IoT)-based control to ensure continuous and efficient operation. The system integrates Long Range Wide Area Network (LoRaWAN) communication technology for remote monitoring and control without internet connectivity and employs the Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm to maximize energy extraction from solar sources. Data transmission from the LoRaWAN gateway to the cloud is facilitated through the Message Queuing Telemetry Transport (MQTT) protocol, enabling real-time access and management via a graphical user interface. Experimental results demonstrate that the proposed system achieves a maximum MPPT efficiency of 97.96%, supports reliable communication over distances of up to 10 km, and successfully operates four LED streetlights, each spaced 400 m apart, across an open area of approximately 1.2 km-delivering a practical, energy-efficient, and internet-independent solution for smart urban infrastructure.
对电力不断增长的需求以及减少环境影响的迫切需要,使可持续能源利用成为全球优先事项。街道照明作为城市电力的重要消耗者,需要创新解决方案来提高效率和可靠性。本研究提出了一种离网智能街道照明系统,该系统将太阳能光伏发电与电池存储以及基于物联网(IoT)的控制相结合,以确保持续高效运行。该系统集成了远距离广域网(LoRaWAN)通信技术,用于在无互联网连接的情况下进行远程监控和控制,并采用扰动观察(P&O)最大功率点跟踪(MPPT)算法,以最大限度地从太阳能中提取能量。通过消息队列遥测传输(MQTT)协议促进从LoRaWAN网关到云的数据传输,从而能够通过图形用户界面进行实时访问和管理。实验结果表明,所提出的系统实现了97.96%的最大MPPT效率,支持在长达10公里的距离上进行可靠通信,并成功运行了四个LED路灯,每个路灯间隔400米,横跨约1.2公里的开放区域,为智能城市基础设施提供了一个实用、节能且独立于互联网的解决方案。