Remote Sensing of Traffic Emissions

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Remote Sensing of Traffic Emissions FIA Foundation London, 8 th of June 2016

How does remote sensing function? 2

CORETRA Project Spain developed the fist remote sensing legislation and did a major project to validate the technology in the CORETRA project Remote sensing project CORETRA commissioned by the Ministry for Environment during 2014/2015 executed with CIEMAT Measurement of 200,000 vehicles (140,000 unique vehicles) in 25 locations Evaluation of RSD technology AccuScan 4600 on road and static tests (<10% of uncertainty) OBS Horiba correlation (validated) Evaluation of Spanish Fleet 3

Evolution of real driving emissions NOx of diesel vehicles wasn t significantly reduced along the Euro Standard Evolution of CO/CO2 Evolution of HC/CO2 0.2 0.15 DIESEL GAS 80 70 60 DIESEL GAS 0.1 0.05 50 40 30 0 PRE 1 2 3 4 5 6 20 10 0 PRE 1 2 3 4 5 6 Evolution of NO/CO2 DIESEL GAS 100 Evolution of opacity 80 DIESEL GAS 60 6.0 40 4.0 20 2.0 0 PRE 1 2 3 4 5 6 0.0 PRE 1 2 3 4 5 6 Source: Spanish Ministry for Environment (CORETRA 2015) 4

NOx per vehicle type Real NOx values are above Euro St. in all vehicle categories, the gap is growing and Euro 5 and 6 are frequently worse than Euro 4 Average Emissions Euro Standard M1 N1-I N1-II N1-III M2,M3,N2,N3 Source: Spanish Ministry for Environment (CORETRA 2015) 5

Methodology to identify high emitter Identification of the minimum percentage of vehicles that contributes most to the total emissions: High Emitters imply emissions values up to 36 times above the fleet average. 6

Details on high emitters Diesel passenger cars represent most high emitters. Thereof, almost half is represented by relatively new Euro 5 vehicles Composition of High emitter Euro Std. Distribution M1 Diesel Source: Spanish Ministry for Environment (CORETRA 2015) 7

Comparison of measurement technologies RSD most cost effective technology for massive emission measurement Static Test On Board Remote Tecnology PTI CVS OBS-PEMS RSD RSD+ CO, PM CO, PM, CO, PM, CO, PM, CO, PM, Scope of measurement HC, NOx HC, NOx HC, NOx HC, NO2 Real driving emissions No No Yes Yes Yes Accuracy Low High High High High 2009/40/EC Regulation/Standard ISO 17020 200/46/EC CE-marking ISO 17025 ISO 17025 Number of vehicles/hour 10 3 1 1.000 3.000 Data automation/integration Low Low Limited High High Deployment Indoor Indoor On board Outdoor Outdoor Cost/vehicle 50 2.000 1.500 1 0,5 Source: RSLAB & OPUS 8

PEMS and RSD are complementary tools To advance in in service conformity, PEMS and RSD are complementary tools Data Streams Few Vehicles (~5 per day) PEMS Objective: PEMS & RSD Wide-scale RSD Surveillance Targeted PEMS Investigations Detail of Data Data Snapshots Many Vehicles (>1000s per day) RSD Source: RSLAB & OPUS Number of Vehicles 9

In service conformity support through RSD Wide-scale RSD Surveillance can provide massive emission data on samples (e.g. brands, engine families) to detect abnormalities or lack of emission improvements to assure targeted PEMS investigations Example: diesel passenger car No clear NO2 reduction over time Example: gasoline passenger car Exceeding peer group values Source: RSLAB & OPUS 10

Emissions along brand (M1) Relevant differences between vehicle brands Source: RSLAB; CORETRA 11

Practical applications The real world emission database allows the implementation of efficient and sustainable mobility policies. Automobile clubs can assume an active role Multiple applications (examples) Identification of high emitters (repair or substitution of vehicles) Traffic management (e.g. variable speed limits based on air quality or traffic density) Traffic emission inventory with real emission data (massive and continuously updated) Fraud detection (inspections or manufacturers) Incentives for clean vehicles or substation of high emitters) In service conformity testing throughout the vehicle lifecycle Results Effective measures for reduction of emission and optimization of circulation 12

Contact details Remote Sensing Lab. Calle Gaztambide 45 28015 Madrid / Spain Tel: +34 91 5592868 Web: www.rslab.es Josefina de la Fuente josefina.fuente@rslab.es Mobile: +34 658 579766 Meinrad Spenger ms@rslab.es Mobile: +34 696 226387 13