Abstract
Street lighting still faces some challenges, e.g., reducing power consumption, lowering light pollution, and making adaptive luminaires more effective among many other concerns. It is evident that the arrival of light-emitting diodes (LEDs) in lighting systems has altered the state-of-the-art and design strategies in lighting. In a traditional approach, a single lamp, i.e., a single light point, is used. Then, by means of lenses, the specification of the radiation pattern is met. However, LED lamps allow for higher flexibility. It is possible to configure many small light sources, positioned and oriented at will. In this paper, a novel software tool able to provide the most suitable solution starting from a certain target lighting specification is proposed. This tool specifies the smallest number of LED required, their geometric orientation, and power levels in order to comply with all the specifications. It is especially useful when trying to light up an irregular, twisted area, although this methodology can be adapted to any geometry. Furthermore, to validate the proposed methodology, two lamps were tested in the streets of Oviedo, Spain, using a staggered arrangement.
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Acknowledgments
The authors would like to thank the Workroom on Renewable Energy (WRE) magazine staff for their altruistic help during the brainstorming and building all the prototypes.
And last but not least, thanks to MEng. Carlos Garcia Gonzalez, Head of the Lighting Section and Electric Installations in the Oviedo’s city council, for their valuable recommendations and advice.
Funding
This work has been supported by the Ministry of Economy and Competitiveness of the Government of Spain (MINECO), the Government of the Principado de Asturias, and the European Union through the European Regional Development Fund (ERFD), under Research Grants ENE2013-41491-R (LITCITY Project) and GRUPIN14-076.
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Quintana-Barcia, P.J., Huerta-Medina, N., Rico-Secades, M. et al. A methodology for LED placement in luminaires without lenses for optimal illumination of complex target areas. Energy Efficiency 11, 1041–1051 (2018). https://doi.org/10.1007/s12053-018-9625-9
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DOI: https://doi.org/10.1007/s12053-018-9625-9