How LogEC supports emissions controls for smart cities
A smart city has:
- Selective driving bans instead of general driving bans
- Pollution-driven traffic controls
For example, in a simulation, an increased risk for smog is expected tomorrow in Berlin. Driving ban for all diesels lower than EURO 5 in Wedding and Tegel, and the maximum speed on the Tegel/Wedding motorway will be reduced to 80 km/h. The left lane should only be activated for carpools (carpool lanes). E-buses will run in both areas.
- Special limits for hotspots (kindergarten, schools, hospitals) through geofencing
- Precise calculations based on HBEFA data (CO, HC, NOx, PM, CH4, NMHC, CO2, NH3, N2O, NO2, PN and PMS) that perform a robust network analysis better than a sensitive and cost-intensive network of measuring instruments.Pollutant radar for based on real-time simulations (information)
- Emissions forecasts
- Simulation of alternative power trains with real data – how much can pollution be decreased when e-taxis and e-buses are used?
- Pollutant control tower
- Calibrated values so that even other more static emitters (e.g., factories) can be extrapolated for an overall picture
- Other modes of transport such as ships, planes, barges is possible
- Uses movement data (e.g., sim cards, navigation systems, counting stations, toll stations)
- Mobile app as mobility advisor for CO2; automatic CO2 logbook -> incentives through tax advantages or public transport cards
- Noise footprint and health footprint
- Certified to EN16258 by Bureau Veritas
- SAP Hana - real time and Big Data
- Embedded conversion factors: handbook of emissions factors (HBEFA), EN16258, CCWG
- SAP Cloud platform with different servers in western Europe
- 2-Level concept: accounting level for emissions radar plus simulation level for what-if-analysis such as, What is the impact if we replace 30% of our conventional by hydrogen busses in our town?
- Pilot up and running in 3-9 months