研究目的
To simulate and compare energy savings in a smart street lighting system by evaluating pre-defined and adaptive regulations against a baseline consumption.
研究成果
The study demonstrates significant energy savings: pre-defined regulation saves approximately 37% and adaptive regulation saves about 59% compared to the baseline. Adaptive regulation offers higher savings but at greater cost and complexity, making it suitable for larger cities, while pre-defined regulation is more economical for smaller areas. Future work should consider integration with broader smart city systems and cost-benefit analyses for implementation.
研究不足
The study is based on simulations and a specific pilot system, which may not generalize to all urban environments. The adaptive regulation requires expensive hardware and real-time processing, limiting scalability for smaller municipalities. Pre-defined regulation is static and may not adapt to changing traffic patterns without recalibration.
1：Experimental Design and Method Selection:
The study involved simulating energy consumption for a smart street lighting system using baseline, pre-defined regulation, and adaptive regulation scenarios. The pre-defined regulation used statistical averages of traffic flow rates per day of the week, while the adaptive regulation used real-time traffic data.
2：Sample Selection and Data Sources:
Data were collected from the Smart Street pilot system at ENEA Casaccia R.C. in Rome, with 21 lamp assemblies and 4 Smart Eye cameras, over a period from January 14, 2018, to April 7,
3：List of Experimental Equipment and Materials:
20 Equipment included LED lamps, LED drivers, PLC nodes, Smart Eye cameras, a hub with PLC modem and Linux OS, media converter, and interface software.
4：Experimental Procedures and Operational Workflow:
Baseline data on power consumption and traffic flow were recorded every 15 minutes. Simulations were run for pre-defined and adaptive regulations based on traffic models and real-time algorithms.
5：Data Analysis Methods:
Energy consumption and savings were calculated and compared, with cost and CO2 reduction analyses performed.
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