Real-World Black Carbon & Nitrogen Oxide Vehicle Emission Factors Study

 
Real-World Black Carbon, Particle
Number Concentration and Nitrogen
Oxide Vehicle Emission Factors:
On-Road Chasing Campaign Results
 
1 
Aerosol d.o.o., Ljubljana, Slovenia
2 
Jožef Stefan Institut, Ljubljana, Slovenia
3
 University of Ljubljana, Faculty of Mechanical Engineering
, Ljubljana, Slovenia
4 
University of Milano Bicocca, Milano, Italy
5 
Joint Research Centre, Ispra, Italy
6 
Cornell University, Ithaca, NY 14853, USA
 
I. Ježek
1
, L. Drinovec
1,2
, S. Oprešnik Rodman
3
, 
L. Ferrero
4
,
M. Carriero
5
,
 D. Westerdahl
6
, T. Katrašnik
3
, G. Močnik
1,2
Contact:
irena.jezek@aerosol.eu
 
Outline
 
On-road chasing method tests:
Influence of dilution on EF calculation
Influence of vehicle performance on the EF
distribution
On-road chasing measurement campaign
first on-road chasing measurements of
 
cars
sampled vs. European fleet statistic
influence of vehicle age on EFs
contribution of super emitters to fleet
emissions
 
2
Emission factor (EF) determination
 
EF distribution for a
single chasing
 
event
3
Ježek et al., AMT, 2015
w
c
 – carbon fraction in fuel
 
On-road emission factor measurement tests
 
Chasing a vehicle equipped with Portable
Emissions Measurement System (PEMS)
Influence of dilution
Relate vehicle performance to measured BC EF
 
4
 
Instruments
:
Mobile 
platform
:
 
A
ethalometer AE
33 (BC),
 
Carbocap (CO
2
)
Euro
 
3 van with PEMS
:
CO
2
, exhaust mass flowrate,
engine rotational frequency,
vehicle speed and position,
outside air temperature
 
The van equipped with PEMS on the
old part of the Monza F1 race track
(Italy)
Results: Influence 
of dilution on 
EF
5
Ježek et al., AMT, 2015
EF distribution and vehicle
‘s
 performance
6
 
- max
- 99
th
- 90
th
- 
75
th
- 
50
th
- 
25
th
- 10
th
- min
Torque (M) 
- 
engine‘s ability to work 
(
Heywood , 1988
)
n – 
crankshaft
 rotational frequency
In 
p
th
 
percentile
 
p
% of the sample values are less than the 
p
th
percentile and (100 − 
p
)% are greater
/Percentile\
 
On-road EF measurement
 
campaign
 
We measured CO
2
, BC, PN and NO
x
 concentrations.
We obtained 
registry information on vehicles 
(fuel, age, category,
weight, engine displacement …)
Comparison of sampled 
fleet statistic 
to 
Eurostat data
 
The total of 139 vehicles measured
and distributed to 
three vehicle 
categories 
:
68 cars with compression ignition engine - 
diesel cars
;
24 cars with spark ignition engine - 
gasoline cars
;
47 
goods vehicles
 (included light goods vehicles N2, busses M2 and
M3, and heavy goods vehicles N3)
 
7
Representativeness of car fleet
8
Ježek et al., ACP, 2015
 
Results
:
First on-road
BC EF
s
 for
diesel cars
Ježek et al., ACP, 2015
9
Effect of
vehicle age
10
Ježek et al., ACP, 2015
Less than 5 years ≈ Euro 4 and 5
Between 5 and 10 ≈ Euro 3
10 and more ≈ Euro 2 or less
 
The median BC EF of diesel
cars that were in use for
less than 5 years was
reduced by a 60%
compared to those in use
for 5 – 10 years.
 
No decrease
 in median BC
EF of the goods vehicles.
 
PN and NO
x
 EF of goods
vehicles were 
reduced by
52% and 67%,
 respectively
.
Comparing 
our
 
results to other 
on-
road
 
studies
11
a
 mean and range in parenthesis; 
b
 median (1
st
 and 3
rd
 quartile);
 c 
mean ± 95% confidence interval; 
d
 emission ratios from Carslaw and Rhys-
Tyler paper were converted to EFs using the same molecular weights and carbon fraction as in formula 1; presented are average values for
all Euro standards in a group, in parenthesis are the smallest and largest mean value of emission standards.
Ježek et al., ACP, 2015
 
„Super emitters“ contributions to total
fleet emissions
 
Contribution of super emitters: 25% of vehicles was
found to disproportionately contribute to the total fleet
emissions 47% to 87%.
25% of emitting diesel cars contributed:
 
63% of BC, 61% of PN and 47% of NO
x
 emissions
 
12
 
Ježek et al., ACP, 2015
Conclusions
The 
first tests 
of the on-road chasing method
.
First reported BC EF for individual diesel
 cars
measured in real driving conditions
.
Good agreement with the results of previous studies.
The median BC EF of diesel cars that were in use for
less than 5 years was 
reduced by a 60% 
compared to
those in use for 5 – 10 years.
No decrease in median BC EF of the goods vehicles
.
PN and NO
x
 EF of goods vehicles were reduced by 52%
and 67%, respectively.
Simple and efficient methodology for monitoring
emissions of the in-use vehicle fleet
Identification of supper emitters
13
Contact:
irena.jezek@aerosol.eu
Thank you for your attention!
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This study presents real-world data on black carbon (BC) and nitrogen oxide (NO) vehicle emission factors gathered through on-road chasing campaigns. The research explores the influence of dilution and vehicle performance on emission factor calculations, with a focus on measuring emissions from vehicles using Portable Emissions Measurement Systems (PEMS). The results provide insights into EF determinations and the distribution of EF values for different vehicles, shedding light on the impact of vehicle age and super emitters on fleet emissions.

  • Vehicle Emissions
  • Black Carbon
  • Nitrogen Oxide
  • Emission Factors
  • On-Road Chasing

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  1. Real-World Black Carbon, Particle Number Concentration and Nitrogen Oxide Vehicle Emission Factors: On-Road Chasing Campaign Results I. Je ek1, L. Drinovec1,2, S. Opre nik Rodman3, L. Ferrero4, M. Carriero5, D. Westerdahl6, T. Katra nik3, G. Mo nik1,2 1 Aerosol d.o.o., Ljubljana, Slovenia 2 Jo ef Stefan Institut, Ljubljana, Slovenia 3University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana, Slovenia 4 University of Milano Bicocca, Milano, Italy 5 Joint Research Centre, Ispra, Italy 6 Cornell University, Ithaca, NY 14853, USA Contact: irena.jezek@aerosol.eu

  2. Outline On-road chasing method tests: Influence of dilution on EF calculation Influence of vehicle performance on the EF distribution On-road chasing measurement campaign first on-road chasing measurements of cars sampled vs. European fleet statistic influence of vehicle age on EFs contribution of super emitters to fleet emissions 2

  3. Emission factor (EF) determination t 2 ([P] - t [P] )dt 0 20 40 60 80 100 t 1 t = EF w 1 CO2 bg + bg bg - P c t 460 CO2 (ppm) 2 ([CO ] - t [CO ] ) dt 2 2 t 1 t 440 1 420 wc carbon fraction in fuel 400 EF distribution for a single chasing event BC bg + bg bg - 25 20 BC (mg/m3) 15 10 5 0 PN bg + bg bg - 120 PN (1000#/cm3) 90 60 30 0 0 20 40 60 80 100 Time [s] 3 Je ek et al., AMT, 2015

  4. On-road emission factor measurement tests Chasing a vehicle equipped with Portable Emissions Measurement System (PEMS) Influence of dilution Relate vehicle performance to measured BC EF Instruments: Mobile platform: Aethalometer AE33 (BC), Carbocap (CO2) Euro 3 van with PEMS: CO2, exhaust mass flowrate, engine rotational frequency, vehicle speed and position, outside air temperature The van equipped with PEMS on the old part of the Monza F1 race track (Italy) 4

  5. Results: Influence of dilution on EF 0 50 100 150 200 250 300 350 400 Exhaust Mass Flow Rate (kg/hr) Ground Speed Exhaust Mass Flow Rate 80 400 Ground speed (km/h) 60 40 200 20 0 0 PEMS CO2 BC CO2 80 700 9 PEMS CO2 (%) 60 6 BC ( g/kg) CO2 (ppm) 600 40 3 0 500 20 -3 0 400 100000 DR EF BC 10000 10 EF BC (g/kg) 1000 DR 100 1 10 1 0 50 100 150 200 250 300 350 400 5 Je ek et al., AMT, 2015 Time (s)

  6. EF distribution and vehicles performance 300 EF BC (g/kg) - max - 99th - 90th - 75th - 50th - 25th - 10th - min 5.16 250 3.83 /Percentile\ 200 1.65 150 M (Nm) 1.15 100 0.73 0.49 50 0.30 0 0.15 1000 2000 3000 a) n (rpm) Torque (M) - engine s ability to work (Heywood , 1988) n crankshaft rotational frequency In pthpercentilep% of the sample values are less than the pth percentile and (100 p)% are greater 6

  7. On-road EF measurement campaign We measured CO2, BC, PN and NOx concentrations. We obtained registry information on vehicles (fuel, age, category, weight, engine displacement ) Comparison of sampled fleet statistic to Eurostat data The total of 139 vehicles measured and distributed to three vehicle categories : 68 cars with compression ignition engine - diesel cars; 24 cars with spark ignition engine - gasoline cars; 47 goods vehicles (included light goods vehicles N2, busses M2 and M3, and heavy goods vehicles N3) 7

  8. Representativeness of car fleet 10 years or over 42% 39% 50% 18% 27% 50% 16% From 5 to 10 years 28% 34% 25% 48% 47% 25% 49% From 5 to 2 years 19% 18% 15% 23% 29% 17% 29% Less than 2 years 11% 9% 9% 11% 7% 8% 6% Europe Slovenia Total Total Gasoline Diesel Total Gasoline Diesel This study % of diesel cars 34 36 68 Je ek et al., ACP, 2015 Europe Slovenia This study 8

  9. Results: EURO3 EURO3 EURO4 EURO4 EURO5 EURO5 First on-road BC EFs for diesel cars Je ek et al., ACP, 2015 9

  10. Effect of vehicle age Less than 5 years Euro 4 and 5 Between 5 and 10 Euro 3 10 and more Euro 2 or less The median BC EF of diesel cars that were in use for less than 5 years was reduced by a 60% compared to those in use for 5 10 years. No decrease in median BC EF of the goods vehicles. PN and NOx EF of goods vehicles were reduced by 52% and 67%, respectively. 10 Je ek et al., ACP, 2015

  11. Comparing our results to other on-road studies Je ek et al., ACP, 2015 Study Study type Vehicle type EF BC (g kg-1) EF NOX (g kg-1) 34.5 (8.1 117.1) Shorter et al., 2005 Chasing a Diesel buses CRT 27.8 ( 6.3) Wang et al.,2012 Chasing b HGV Beijing 0.4 (0.2-0.8) 47.3 (38.1 - 62.5) HGV Chongqing 1.1 (0.7-1.6) 40.0 (31.7-48.1) Dallmann et al., 2011 Remote s. c HGV (2009) 1.07 0.18 25.9 1.8 HGV (2010) 0.49 0.08 15.4 0.9 Dallmann et al., 2013 Remote s. c HGV 0.62 0.17 Carslaw and Rhys- Tyler, 2013 Remote s. d Gasoline cars 5.34 (1.15 - 26.83) Diesel cars 16.37 (14.82 20.65) Van 18.1 (16.87 23.59) HGV (all) 37.88 (35.13 48.37) 0.35 (0.005 1.52) This study Chasing b Gasoline cars 6.74 (3.3 13.16) 0.92 (0.03 5.87) Diesel cars 15.47 (9.15 23.28) 0.56 (0.05 5.24) LGV 20.25 (11.84 28.22) 0.45 (0.04 11.01) HGV 29.6 (23.18 48.67) a mean and range in parenthesis; b median (1st and 3rd quartile); c mean 95% confidence interval; d emission ratios from Carslaw and Rhys- Tyler paper were converted to EFs using the same molecular weights and carbon fraction as in formula 1; presented are average values for all Euro standards in a group, in parenthesis are the smallest and largest mean value of emission standards. 11

  12. Super emitters contributions to total fleet emissions Contribution of super emitters: 25% of vehicles was found to disproportionately contribute to the total fleet emissions 47% to 87%. 25% of emitting diesel cars contributed: 63% of BC, 61% of PN and 47% of NOx emissions 12 Je ek et al., ACP, 2015

  13. Conclusions The first tests of the on-road chasing method. First reported BC EF for individual diesel cars measured in real driving conditions. Good agreement with the results of previous studies. The median BC EF of diesel cars that were in use for less than 5 years was reduced by a 60% compared to those in use for 5 10 years. No decrease in median BC EF of the goods vehicles. PN and NOx EF of goods vehicles were reduced by 52% and 67%, respectively. Simple and efficient methodology for monitoring emissions of the in-use vehicle fleet Identification of supper emitters Thank you for your attention! Contact: irena.jezek@aerosol.eu 13

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