Emissions control and smog forecasts for cities

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

About LogEC

• 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