Electric light is essential to our modern society. Now, so called “smart” lights are about to revolutionize energy consumption and convenience not only at home and offices, but also in public. “Smart” street lights are expected to provide additional services, for example as a WIFI-hotspot or a charging point for E-mobility. The city of Herne in North Rhine-Westphalia has the 3rd highest population density in whole Germany (3,031/km2, 2015) and a tight network of about 16,000 city lights. Making all of them “smart” would take years and be very inefficient by cost-saving considerations, also the benefit is important for urban development.
Like many medium sized cities Herne wants to switch to intelligent lighting and e-mobility-infrastructure in a reasonable way, step-by-step. So, where to start? To identify the locations with the most potential for power savings without loss in convenience is not an easy task. Factors like traffic numbers, weather season, population development and traffic law have to be considered. Additionally, these influence factors are not stable, but will change over time. A low-traffic street might change significantly with completion of a development project nearby.
Adding a charging point for electric cars to every street light might overload the current power grid. Choosing the right location would also mean to identify the hotspots for e-mobility within the city. Target of this use case is to create a flexible simulation, which allows to identify optimal locations of public street lights depending on multiple layers of data, e.g. traffic density and grid-infrastructure, This data driven approach should be followed using smart city IT platforms that are open source, like provided by fiware.org for instance.
A project duration of approximately 3 months is expected.