LABORATORY OF APPLIED THERMODYNAMICS ARISTOTLE UNIVERSITY THESSALONIKI SCHOOL OF ENGINEERING DEPT. OF MECHANICAL ENGINEERING European Database of Vehicle Stock for the Calculation and Forecast of Pollutant and Greenhouse Gases Emissions with TREMOVE and COPERT (“FLEETS”)

Partners Laboratory of Applied Thermodynamics / Aristotle University Thessaloniki (GR) Institute for Transport Sciences (HU) Renault Automobiles (FR) Energy - Economics - Environment Modelling Laboratory / National Technical University Athens (GR) Oekopol (DE) EnviCon – Karl Heinz Zierock (DE) EnviCon

Administrative Information  Funded by: European Commission / DG Environment  Duration: Dec. 22, 2006 – Dec. 20, 2007, extended to Apr. 21, 2008  Coordinator: LAT/AUTh  Cost: 340 kEuro  Deliverables  Final Report  Web-site with database

Tasks  Task 100: Establishment of network for data exchange  Task 200: Data collection  Task 300: Data detailing/classification  Task 400: Data reconciliation  Task 500: Road-data specifics  Task 600: Development of a software database  Task 700: Reporting and data communication

Data Categories CategoryUNECE Classification FuelsClasses (Types) Technologies Passenger CarsM1Gasoline, Diesel, LPG848 Light Duty VehiclesN1Gasoline, Diesel210 Heavy Duty VehiclesN2, N3Gasoline, Diesel1571 Busses and CoachesM2, M3Diesel, CNG629 MopedsL1Gasoline14 MotorcyclesL2, L3Gasoline416

Evaluation of importance of input data ParameterImportance Availability of statistics Notes /Particular Issues Total number of vehicles per class   Question is the scooter and mopeds registration availability Distinction of vehicle to fuel used   Question is the availability of records for vehicles retrofitted for alternative fuel use Distribution of cars/motorcycles to engine classes   Not important for conventional pollutants, more important for CO2 emission estimates Distribution of heavy duty vehicles to weight classes   Vehicle size important both for conventional pollutants and CO2 emissions Distinction of vehicles to technology level   Imported, second-hand cars and scrappage rates are an issue Annual mileage driven   Can be estimated from total fuel consumption. The effect of mileage with age requires attention. Urban driving speed   Affects the emission factors Rural, highway driving speeds   Little affect the emission factors, within their expected range of variation Mileage share in different driving modes   Little affect emissions, within their expected range of variation

Data availability - Eurostat

Data availability – ACEA (part A – no data for HR, MT, TR)

Data Availability – KTI Conference

Data Availability – National Sources

Data Availability – Summary (1)

Data Availability – Summary (2)

Reconciliation Process

Results – Mileage Issues (Caserini et al. 2007)

Mileage as a function of technology

Survival curves and scrapping rates (data based on German fleet)

N1 Definitions PC Driving License

N1 Registrations

Results – Total Fleet of Cars

Results – Total Fleet of LDVs

Results – Total Fleet of Trucks and PTWs

Emission Comparison (kton) – Year 2005

Comparison with other sources