Abstract
The reports presented by consulting firms show that annual energy costs generated by 340 million streetlights are expected to reach $23.9 to $42.5 billion by 2025. Those numbers reveal a motivation behind the research aiming at optimizing outdoor lighting energy efficiency. They show that even a small unit improvement can yield large benefits due to the effect of scale. The development of solid state lighting solutions enables highly effective modernization of street lighting installations. It allows obtaining power saving not only by replacing high pressure lamps with LEDs but also by improving a design quality and by introducing a dynamic street lighting control. Both methods, however, are not feasible for industry-standard software tools due to the significant complexity related to a configuration optimization, especially for large-scale projects. The goal of this article is presenting the workaround to the complexity issue, which is based on application of graph methods. They enable optimizing lighting installations in the scale of a city by providing a scalable computational environment. The presented case study shows that, thanks to applying the proposed method, one can design a lighting system which has the energy consumption reduced by up to 70%.
Highlights
In the global perspective of electric energy usage, lighting’s share reaches 19% on a global scale [1]and 50% on a Europe-only scale [2]
LEDs can be dimmed so an applied power level can be adjusted precisely to the actual needs determined by a state of an environment and constrained by mandatory lighting standards [5]
As an alternative to the approach discussed above based on uniformed street and luminaire layouts, we propose preparation of a project, performed by a software system, relying on the accurate inventory data and a set of criteria defined by a human designer
Summary
In the global perspective of electric energy usage, lighting’s share reaches 19% on a global scale [1]. LEDs can be dimmed so an applied power level can be adjusted precisely to the actual needs determined by a state of an environment (traffic level, outdoor lighting and so on) and constrained by mandatory lighting standards [5] It will not be discussed here, ). One of the first non-standard attempts of making a lighting design [9,10] does not consider luminous flux dimming and still has a limitation of high execution time The niche methods such as increasing reflectance of a road surface in tunnels [11] will not be discussed here either due to their limited area of application.
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