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  1. Proceedings of the 2nd International Workshop on Energy Neutral Sensing Systems (ENSsys '14)
  2. Energy-neutral solar-powered street lighting with predictive and adaptive behaviour
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An instrument scheduler design for energy neutral coastal monitoring systems deployment
A power manager with balanced quality of service for energy-harvesting wireless sensor nodes
Energy harvesting framework for network simulator 3 (ns-3)
Energy-harvesting thermoelectric sensing for unobtrusive water and appliance metering
Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks
Lossless compression of cloud-cover forecasts for low-overhead distribution in solar-harvesting sensor networks
Energy-neutral solar-powered street lighting with predictive and adaptive behaviour
Reducing charge redistribution loss for supercapacitor-operated energy harvesting wireless sensor nodes
Empirical validation of energy-neutral operation on wearable devices by MISO beamforming of IEEE 802.11ac

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

Content Provider ACM Digital Library
Author Lau, Sei Ping White, Neil M. Weddell, Alex S. Merrett, Geoff V.
Abstract 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.
Starting Page 13
Ending Page 18
Page Count 6
File Format PDF
ISBN 9781450331890
DOI 10.1145/2675683.2675690
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Energy prediction Energy-neutral street lighting
Content Type Text
Resource Type Article
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