development of an on-road heavy - duty emissions research
TRANSCRIPT
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Development of an On-Road HeavyDuty Emissions Research Laboratory
University of California, Riverside Bourns College of Engineering - Center for Environmental
Research and Technology
Presentation To
Mobile Sources Technical Review Subcommittee October 23, 2001
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Sponsors and Funding Agencies
YEAR ONE • Diesel OEMs
– Detroit Diesel, Caterpillar, Cummins, Volvo, International, Mack • USEPA • California Air Resources Board • South Coast Air Quality Management District
YEAR TWO • USEPA • Cummins (3 years), Detroit Diesel (Pending) • California Air Resources Board • California Energy Commission • South Coast Air Quality Management District (Pending)
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
CE-CERT PERSONNEL
Faculty: cker; Wayne Miller; Joe Norbeck
Engineering Staff: Mitch Boretz; Kent Johnson; Dave Pankratz; Chan Seung Park; George Scora; Matt Smith; Bill Welch
Technicians: Don Pachoca; Terry Traver
Graduate Students: Lin Chen; Ben Lin; Yuan Lon
Visiting Professor: Hongchang Zhou
Eight Undergraduate Students
Matt Barth; David Co
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Outline of Presentation
• Background and Motivation • Design and Technical Approach • Initial Evaluation and Results • Future Research Agenda
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Operational Requirements
• CFR requirements – Real time @1Hz HC and NOx
– CO and CO2 either real time or via bag – Fuel consumption by direct measurement or via CO2
– 1% Calibration standard accuracy
• Cycle requirements • Calibration requirements • Size and weight requirements • System data logging and control
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Technical Challenges and System Flexibility
• Need to demonstrate reproducibility and equivalence with engine dyno testing and certification (meet CFR requirements)
• Need to speak several languages in evaluation and use of data – Emissions as function of load – Emissions as function of distance – Comparison with chassis dyno – Comparison with engine dyno
• Need modal emissions (real time) for all pollutants Including particulates – Organic and elemental carbon – Full chemical speciation of semi-volatile and particulate
• Need to be able to test large fleet of vehicles at minimum time and cost
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Basic Systems Overview
• 53 ft. refrigerated container trailer with air ride suspension
• Horiba smooth approach orifice CVS/dilution tunnel system
• Gaseous emissions bench with dilution calibration system
• Comprehensive data acquisition/control system on Labview platform
•GPS based driver’s aid
• Support equipment (275 kW generator, HVAC)
Center for Environmental Research and Technology
University of California, RiversideBourns College of Engineering
Un ive r s it y o f Ca lifo rn ia Rive r s id eCE-CERT
Utility Subpanel
480 Volt
120/208 Volt
Control and Analytical Subpanel
Electrical Vault
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Base PC
(DGPS
error calculation
at 1 Hz )
com1
Rover PC
DGPS/INS (INS 150Hz
Error Var. 15Hz
GPS Corr. 1Hz
Output 10Hz)
com2
GPS
RM Position guided
Driver’s aid
Interface (Update rate 10Hz,
HUD included)
com3RM
com2GPS
com1IMU
com4
GPS Guided Driving Cycle Aid for HDV
System Overview
I/O 1PPS
I/O 1PPS
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Verify the Analytical Systems
• Propane material balance @ 98+% • Independent measurements of:
– Fuel flow – Load (torque) – NOx (3 analyzers)
• Mobile and stationary calibrations
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Propane Injection Mass Recovery
Test ID CVS flow
Concentration THC
Mass Inject
Mass Recovered Recovery
# ppm C1 g g % 200107180940 2500 85.9 29.77 29.68 100.3% 200107190901 2501 84.5 29.13 28.86 100.9% 200107191032 2500 83.6 29.17 28.89 101.0% 200107261315 2500 83.9 29.11 28.92 100.7% 200107261359 2500 83.2 28.93 28.69 100.8% 200108061239 2500 82.8 28.56 28.42 99.5% 200108061326 2499 82.4 28.67 28.51 99.4% 200108061412 2499 83.9 29.11 28.94 99.4% 200108061456 2500 83.3 28.98 28.76 99.2% 200108131002 2500 82.1 29.36 29.62 100.9% 200108131428 2500 80.1 29.02 29.04 100.1% 200108140843 2500 81.4 29.27 29.13 99.5% 200108140928 2500 80.4 29.00 28.67 98.8% 200108141015 2500 80.2 28.84 28.55 99.0% 200109061103 2499 82.8 29.40 29.19 99.3% 200109061103 2499 82.8 29.40 29.21 99.4% 200110010901 2500 84.2 29.27 29.13 99.5%
Average 99.9% 95% Conf 1.47%
scfm
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
y = 1.0108x + 0.4167 R2 = 0.9936
0
5
10
15
20
25
0 5 10 15 20 25 Fuel Rate, cc/s, from ECU
Fuel
Rat
e,cc
/s, f
rom
J. M
.
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Carbon Balance between Fuel Consumption and CO2 mass emissions
y = 1.0465x - 0.0095 R2 = 0.9952
y = x
0
5
10
15
20
25
30
35
40
0 5 10 15 20 25 30 35 40 Carbon CO2 mass (g/s)
Car
bon
Fuel
Con
sum
ptio
n (g
/s)
Results based on only good calibration (first one)
Note: There is a 5% difference between CO2 Carbon and Fuel Rate Carbon. This could be due to driver variations and Dyno fuel sensor calibration.
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
R2 = 0.9907
R2 = 0.972
0
10
20
30
40
50
60
70
80
90
0 20 40 60 80 100 120
Load, %, from ECU
Load
, %, f
rom
J. M
. Verification of Load
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
On-Road Repeatability of WVU 5-Cycleis Good
• Example of relative error at 95% confidence limits after eight runs:
– Fuel used - 0.98% – Engine power - 1.25% – Tractor work - 1.19% – Driver deviations – 5.88%
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
WVU 5 Mode Cycle at Cabazon Up Hiil 1.5% Grade and a Head Wind
0
50
100
150
200
250
0 100 200 300 400 500 600 700 800 900
Time (sec)
NO
x pp
m, T
HC
ppm
, Spe
ed m
ph
NOx THC Trailer Speed Target Speed
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
. Four-Phase HDD Cycle
City Urban Dyno T est Cycle CUEDC (Phase 1 Congested, Phase 2 Residential, Phase 3 Minor - Arterial, Phase Freew ay)
0
20
40
60
80
100
120
0 200 400 600 800 1000 1200 1400 1600 1800
T im e (sec)
Spee
d (k
m/h
r)
Phase 1 Phase 2 Phase 3 Phase 4
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
CEUDC 4 Phase Test Cycle at Cabazon Up Hiil 1.5% Grade and a Head Wind
0
50
100
150
200
250
300
350
0 200 400 600 800 1000 1200 1400 1600
Time (sec)
NO
x pp
m, S
peed
mph
, TH
C p
pm
NOx THC Trailer Speed Target Speed
On-Road CEUDC Test
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
CE-CERT Modal Emissions Testing Cycle for HDD
C E-C ER T cycle for M odel M odeling E m issions
0
10
20
30
40
50
60
70
0 100 200 300 400 500 600 700 800 T ime (sec)
Spee
d (m
ph)
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
CE-CERT Test Cycle at Cabazon Up Hiil 1.5% Grade and a Head Wind
0
50
100
150
200
250
0 100 200 300 400 500 600
Time (sec)
NO
x pp
m, S
peed
mph
, TH
C p
pm
NOx THC Trailer Speed Target Speed
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering On Road Emissions on Route from Riverside to Victorvill
0
50
100
150
200
250
300
350
0 500 1000 1500 2000 2500 3000 3500 4000
Time (sec)
CO
2 %
*100
, NO
x pp
m, S
peed
(mph
)
0
200
400
600
800
1000
1200
1400
Elev
atio
n (m
eter
s), L
oad
(%M
ax)
CO2% *100 NOx_ppm TrailerSpeed_mph ELEV Load %
Center for Environmental Research and Technology
University of California, RiversideBourns College of Engineering
NOx vs Fuel Consumption for a Trasient Freeway Cycle from Riverside to Victorvill
y = 5.97x + 9.99R2 = 0.87
y = 12.29x - 0.43R2 = 0.97
0
50
100
150
200
250
300
350
0 5 10 15 20 25
Fuel Rate (cc/s)
NO
x (p
pm)
12.3/5.97 = 2.1
NOx vs. Fuel Consumption
Center for Environmental Research and Technology
University of California, RiversideBourns College of Engineering
Carbon Balance from CO2 and ECM Fuel Usage for a transient test cycleI-15/215 from Riverside to Victorville
y = 1.0162x + 0.2802R2 = 0.9199
0
2
4
6
8
10
12
14
16
18
20
0 2 4 6 8 10 12 14 16 18 20CO2 Carbon (g/s)
ECM
Fue
l Usa
ge C
arbo
n (g
/s)
Center for Environmental Research and Technology
University of California, Riverside Bourns College of Engineering
Future Research Direction
• Continue to develop several on-road driving cycles • Evaluate HDV activity with respect to driving cycle • Assess on-road repeatability of emission measurements • Develop empirical emission adjustment factors (speed, grade, altitude, wind,
temp.) • Correlate emission measurements with activity data and dynamic modal
measurements • Initiate emission program with 25 vehicle fleet • Develop real-time particulate measurement system • Improve analytical capability for organic species • Evaluate effectiveness of emission control devices and alternative fuels