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Energy-neutral solar-powered street lighting with predictive and adaptive behaviour

机译:具有预测性和适应性行为的能量中性太阳能路灯

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摘要

Street lighting can enhance the safety and security of residential and commercial areas. However, its installation and operation is expensive: cables must be installed, and power is drawn from the grid which is typically dominated by non-renewable sources. A potential solution is the use of solar energy to power individual street lights locally. However, with limited energy storage and variable solar availability, existing lighting control strategies are unsuitable for this application. This paper describes the extension of an existing grid-powered street light management scheme, which responds to vehicles and pedestrians by dynamically changing the brightness of street lights in their vicinity, setting an optimal pattern of lighting. The proposed scheme, TALiSMaN-Green, achieves energy-neutral solar-powered operation. It maintains a consistent level of usefulness of street lights across a complete overnight period, regardless of the amount of energy stored at the beginning of the night. Unlike existing schemes, which may run out of energy during the night, it learns the dynamics of traffic volumes and sunrise times and budgets energy accordingly.
机译:街道照明可增强住宅区和商业区的安全性。但是,它的安装和操作很昂贵:必须安装电缆,并从通常由不可再生能源主导的电网中取电。一种潜在的解决方案是使用太阳能为本地的单个路灯供电。然而,由于有限的能量存储和可变的太阳能可用性,现有的照明控制策略不适用于该应用。本文描述了现有的以电网为动力的路灯管理方案的扩展,该方案通过动态更改附近路灯的亮度,设置最佳照明模式来响应车辆和行人。拟议的计划TALiSMaN-Green可实现能源中性的太阳能发电。无论夜间开始时存储的能量量如何,它在整个夜晚期间都保持路灯的有用程度始终如一。不同于现有的方案,该方案可能会在夜间耗尽能量,它会学习交通量和日出时间的动态变化,并据此预算能量。

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