The Drive towards Optimization of Road Lighting Energy Consumption Based on Mesopic Vision—A Suburban Street Case Study

Irena Fryc, Dariusz Czyżewski, Jiajie Fan and Catalin D. Gălăţanu
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Irena Fryc: Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45d, 15-351 Bialystok, Poland
Dariusz Czyżewski: Electrical Engineering Faculty, Electrical Power Engineering Institute, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
Jiajie Fan: Institute of Future Lighting, Academy for Engineering & Technology, Fudan University, Shanghai 200433, China
Catalin D. Gălăţanu: Faculty of Civil Engineering and Building Services, Technical University Gheorghe Asachi, Bd. Dimitrie Mangeron 1, 700050 Iasi, Romania

Energies, 2021, vol. 14, issue 4, 1-23

Abstract: This paper presents the research of optimization of road lighting energy consumption by utilizing the fact of human twilight and night vision (mesopic vision) dependency on luminance level and lamp’s light spectral composition. The research was conducted for a suburban street illuminated by smart LED road luminaires with a luminous flux control system with which different luminance levels can be achieved on the road. This road is an access road leading to a town located on the outskirts of Warsaw which is the capital of Poland and a large metropolitan area. Therefore, the traffic here is quite heavy on this road in the morning and in the evening and it is very light at other times of the day. In accordance with EN 13201 standard, lighting control can be applied to illuminate this road. This paper compares energy consumption for different lighting scenarios of the road in question. In the first scenario, the road luminance is compliant with M4, M5, and M6 lighting class requirements depending on the time of the day. In the second scenario, for each M lighting class, the values of luminance levels provided by EN 13201 standard have been reduced to the values resulting from their conversion to the corresponding mesopic luminance values. The conducted research has shown that a 15% saving per year in electricity consumption on the road is possible with such a conversion. Therefore, energy efficiency of a lighting installation can be improved by matching the lighting levels provided by the standard to the mesopic vision.

Keywords: lighting classes; mesopic illumination; LED lamps; eye spectral sensitivity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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