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Thanks to the latest generation of luminaires, comprehensive sensor technology and the use of specially developed artificial intelligence (AI), a model project has created a dynamic-adaptive lighting control system for street lighting with energy savings of around 77%.
Project objective: To resolve as far as possible the conflicting requirements of modern street lighting (more brightness versus energy savings, lower CO2 emissions versus citizens' sense of security; "light pollution", "insect friendliness") through intelligent and integrative lighting control and the linking of different systems:
-Separate control of spatial sub-networks possible
-adapt the brightness of the lighting to the volume of traffic and to the requirements of citizens through dynamic dimming
-Color temperature can be controlled between a neutral white tone and a warm white light
-Data collection on the operating status of the individual luminaires will help with fault analyses in future. This will reduce time-consuming troubleshooting and downtimes.
-Establish street lighting as a carrier for further "intelligent" additional equipment (sensors in the masts for noise and air pollutant emissions, traffic volumes and types or speed measurements, among other things)
The model project in Bad Hersfeld was chosen as the winner of this year's "Smart 50 Awards" in the USA from a large selection of applicants worldwide - as just one of two European projects. From Bad Hersfeld's point of view, the "Light as a Service" pilot project has also fully met and largely exceeded the expectations of the project participants and the town's politicians.
- The intended energy consumption and CO2 savings have been fully achieved and have been further enhanced by the dynamic lighting control system.
o By using the latest generation of luminaires, energy savings of 77% on average were achieved within the project compared to the actual situation. These values could be increased to 91% in certain situations with the use of dynamic control!
o The reduction in consumption amounts to around 65,000 kWh per year for the 154 luminaires used in the project.
o The CO2 reduction amounts to around 27 tons per year.
- The dynamic-adaptive street lighting can be adapted to individual luminaires and groups at any time without major maintenance effort, for example to changes in traffic volumes, weather conditions, detour situations or special events.
- The sensor-based detection of wet…
Development and testing of a citizen app for temporary switching in a residential area
