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Electrical Mobility
Measurements of Agglomerate
Particulate Matter
Jim Dunshee
MS Thesis Defense
November 11th, 2015
Slide 2
Historical Perspective: Particle Uncertainty
“…but how many particles are really
present under any conditions, and how
the number varies, we have at present
very little idea.”
- John Aitken, 1888
SOURCES: Aitken, 1888; Wellcome Library; Seinfeld & Pandis, 2006
≥10 microns (µm)
visible to the human eye
Slide 3
Particulate Matter (PM)
IMAGE SOURCE: ciese.org
“A complex mixture of extremely small
particles and liquid droplets” (US EPA)
PM10 PM2.5
Slide 4
PM & Health
• Class 1 Carcinogen
• No evidence of safe exposure level
(World Health Organization, 2013)
IMAGE SOURCE: alencorp.com (Everything You Need to Know About Airborne Particulate Matter)
Slide 5
Particle Size Distribution
Low←Number→High Small ← Particle Diameter → Large
Slide 6
Diesel PM Size Distribution
IMAGE SOURCE: Kittelson,, 1998
Slide 7
Spark vs. Compression Ignition Engine Emissions
IMAGE SOURCE: dieselnet.com
SI engine with catalyst
Diesel engine (100%)
RelativeEmissions(%)
Slide 8
Engine Cycles
Gasoline - Otto Cycle
• Spark Ignition (SI)
• Homogeneous combustion
• Burns “rich”
• Air-fuel ratio < stoichiometric
Diesel - Diesel Cycle
• Compression Ignition (CI)
• Heterogeneous combustion
• Burns “lean”
• Air-fuel ratio > stoichiometric
IMAGE SOURCE: Reactive Flow Modeling Laboratory (rfml.kaust.edu.sa)
Slide 9
Diesel PM/NOx Tradeoff
Diffusion Flame Combustion
Oxidation
• Decreases soot (PM)
• Increases NOx
SOURCES: Kittelson & Kraft, 2014; Dec, 1997
Slide 10
Diesel PM Formation
IMAGE SOURCES: Khalek, 2006; Twigg & Phillips, 2009
Elemental
Carbon (EC)
Organic
Carbon (OC)
Slide 11
PM Formation by Particle Size
IMAGE SOURCE: Guarieiro & Guarieiro, 2015
Re-
entrainment
Engine wear
Slide 12
Diesel Properties
Medium petroleum distillates: C8 – C21
Ultra-Low Sulfur Diesel (ULSD):
Naturally occurring sulfur (a lubrication agent)
reduced to 15ppm = less soot formation
~75% Alkanes ~25%
May result in toxic
aromatic emissions
IMAGE SOURCE: criticalfueltech.com
Slide 13
Biodiesel Properties
Fatty Acid Methyl Esters (FAMEs)
Potential to reduce PM:
• Oxygen content of molecule (complete combustion/soot oxidation)
• Absence of sulfur
• Absence of aromatic compounds
(Lapuerta et al., 2007)
IMAGE SOURCE: biofuelsystems.com/biodiesel-chemistry
Slide 14
Biodiesel PM Properties
Chung et al., 2008 (diesel generator):
Irregular compact particles with more
organic carbon relative to ULSD
SOURCE: Chung et al., 2008
Diesel
Biodiesel
Slide 15
PM Measurement
The Gravimetric Method
Operational Definition:
“mass collected on a filter”
under specified conditions
(Swanson et al., 2012)
Units: Mass Concentration (µg/m³) =
Issues:
1) Temporal Resolution
requires time to collect sample
2) Measurement Error
low modern vehicle emission rates
Diesel PM Emission Standards
Slide 16SOURCES: (a) Twigg & Phillips, 2009; (b) Vouitsis et al., 2003
(b) US and EU diesel PM
emission limits for
heavy-duty vehicles
from 1992-2010
(a) EU legislated diesel PM
emission limits for
passenger cars from
1983-2010
Slide 17
Gravimetric Accuracy
SOURCE: Vouitsis et al., 2003; ACEA report 99000524
Note: emission rates and standards for heavy-duty engines
Slide 18
New Method: IPSD (Integrated Particle Size Distribution)
Basic procedure
1. Measure particle size
distribution (PSD) by
number
2. Assume spherical
particles to calculate
volume
3. Apply size dependent
density values to
calculate mass
m = ρV
mass = density x volume
Low←Number→High
d
2 = r
V = 4
3 πr3
IMAGE SOURCES: vironova.com, rkm.com.au
Method formalized by Liu et al. (2009)
• Light-duty vehicles (gas & diesel)
• Empirically based particle effective density values
• Good correlation (R² = 0.79) between IPSD and
Gravimetric
• Systematic bias (MassIPSD = 0.63 x MassGrav)
Slide 19
Li et al. (2014) : IPSD Study
Slide 20
Problem With PSD Measurements (EEPS)
Discrepancies reported between
Engine ExhaustParticle Sizer (EEPS or FMPS)
and Scanning Mobility Particle Sizer (SMPS)
for agglomerate particles (e.g., diesel soot)
(Kaminski et al., 2013; Quiros et al., 2014; Zimmerman
et al., 2014)
Slide 21
SMPS (Scanning Mobility Particle Sizer)
IMAGE SOURCES: Guha et al., 2012; redwoodareahospital.org
Considered the “gold standard” particle sizing/counting system
Slide 22
SMPS: Bipolar Diffusion Charging
Roughly independent of particle morphology
Note: Particle charging efficiency drops dramatically below 20nm for Boltzmann distribution (shown).
Fuchs charging theory is better for Dp < ~50nm.
Charge distribution forms over time (Hinds, 1999):
< -3 -3 -2 -1 0 +1 +2 +3 > +3
0.01 0.007 0.3 99.3 0.3
0.02 0.104 5.2 89.6 5.2
0.05 0.411 0.6 19.3 60.2 19.3 0.6
0.1 0.672 0.3 4.4 24.1 42.6 24.1 4.4 0.3
0.2 1.00 0.3 2.3 9.6 22.6 30.1 22.6 9.6 2.3 0.3
0.5 1.64 4.6 6.8 12.1 17.0 19.0 17.0 12.1 6.8 4.6
1.0 2.34 11.8 8.1 10.7 12.7 13.5 12.7 10.7 8.1 11.8
2.0 3.33 20.1 7.4 8.5 9.3 9.5 9.3 8.5 7.4 20.1
5.0 5.28 29.8 5.4 5.8 6.0 6.0 6.0 5.8 5.4 29.8
10.0 7.47 35.4 4.0 4.2 4.2 4.3 4.2 4.2 4.0 35.4
Percentage of particles carrying the
indicated number of charges
Dp
(µm)
Average
No. of
Charges
IMAGE SOURCE: palas.de/en/product/kr8557
Slide 23
EEPS (Engine Exhaust/Fast Mobility Particle Sizer)
Unipolar charger:
SOURCES: Krinke & Zerrath, 2011; TSI, 2015
Slide 24
EEPS: Unipolar Diffusion Charging
Default calibration underestimates
charge for agglomerates
IMAGE SOURCE: TSI, 2015
TSI Solution:
New, empirically
based, EEPS data
inversion matrices
Problem:
EEPS unipolar charge distribution
calibrated for spheres (emery oil)
turbocharged, 4 cylinder, 4.5L, 75kW, Tier 3 diesel engine
fueled with BP6 diesel fuel with a sulfur content of 6ppm
Slide 25
New EEPS Matrix Development by TSI
SOURCE: TSI, 2015
Slide 26
New EEPS Matrices: Soot & Compact
Instrument matrix calibrated for soot Comparison of current matrices
at 420nm and 42nm
electrometer columns
Slide 27
Soot Matrix Results: Heavy-duty Engine
IMAGE SOURCE: TSI, 2015
Low Load:
High Load:
Number Volume
Slide 28
Soot Matrix Results: Light-duty Engine
IMAGE SOURCE: TSI, 2015
GM A20DTH 2.0L light duty turbo charged diesel engine
Slide 29
GMD Agreement with Soot Matrix
No longer underestimates larger
agglomerate particles (Dp > ~100nm)
IMAGE SOURCE: TSI, 2015
1) How accurate are new EEPS matrices for various
vehicle exhaust particles?
a) Biodiesel - unique morphology/chemical composition?
b) Transient drive-cycle
2) Do new EEPS matrices improve mass estimates
with IPSD method?
a) IPSD vs. Gravimetric
b) Transient events (e.g., cold-start)
Slide 30
Research Questions?
Slide 31
Current Study
Experiments/Dataset 1: EEPS Evaluation
Experiments/Dataset 2: Cold-start Emissions
EEPS measurements for first 30sec of engine start at
10, 15, and 25°C (nominally)
Slide 32
Data Collection Sequence
Event Setting Duration
Instrument Blank (preIB) Instrument on HEPA filter ≥10min
Tunnel Blank (preTB) Dilution System On ≥10min
Engine Idle Engine On 7.5min
Engine Warm-up 3300rpm, 40 or 60% Throttle 7.5min
Test Cycle Various ~90min
Engine Cool-down (Idle) Engine On 7.5min
Tunnel Blank (postTB) Dilution System On ≥10min
Instrument Blank (postIB) Instrument on HEPA filter ≥10min
Test Cycles
1) Steady State (75% engine load)
2) Transient (60min) + 3x10min Steady State Phases
- Depicted in Slide 37
Slide 33
Experimental Setup
Engine exhaust
Dry, filtered air
Key:
Differential
Pressure Gage
Temp. Control
Setpoint (°C)
2 stage
diluter
Diluted Sample
Dilution Ratio ~80:1
Engine drive cycle and dilution system developed by by Tyler Feralio (image credit)
Engine:
Volkswagen 1.9L SDi (similar to Euro II LDD)
• 4 Cylinders
• No aftertreatment devices
Slide 34
Fuel Properties
SOURCE: GC-MS analysis conducted by John Kasumba
ULSD (0.81g/cm³) Soybean Biodiesel (0.86g/cm³)
Slide 35
Density Distribution
Slide 36
Quality Assurance: SMPS & Filters
SMPS (units: #/cm³)
90min Filter Blanks (Tunnel)
N 5
Avg 4 µg/m³
StDev 2.4
Minimum value from tests:
35.5 µg/m³
Reported as: MEAN [95% One-sided Upper Confidence Limit]
Slide 37
QA: EEPS Dataset 1 – Box Plots
Slide 38
QA: EEPS Dataset 1 – Detection Limit
EEPS pre-test instrument blank data
Slide 39
ULSD Steady State PSDs
Log-log plot Semi-log plot
Slide 40
ULSD Modal Fit Parameters
Slide 41
Xue et al. (2015): Generator on ULSD
SOURCE: Xue et al., 2015
Slide 42
ULSD PM Mass Data
Slide 43
Soot vs. Default: Transient Cycle w/ ULSD
Slide 44
ULSD Transient Phase: Fractional Contributions
Slide 45
ULSD Steady State: Fractional Contributions
Slide 46
Betha & Balasubramanian (2011): ULSD Particle Fractionation
Idle 30% 70% 100%
Engine Load (%)
100%
80%
60%
40%
20%
0%
ParticleNumberFraction(%)
Nanoparticles
(>50nm)
Ultrafine
(50-100nm)
Fine
(>100nm)
FMPS data (i.e., Default EEPS matrix) for diesel generator exhaust
SOURCE: Betha & Balasubramanian, 2011
Slide 47
Biodiesel Steady State PSDs
Log-log plot Semi-log plot
Slide 48
Biodiesel Modal Fit Parameters
Slide 49
Xue et al. (2015): Generator on Biodiesel
SOURCE: Xue et al., 2015
Slide 50
Biodiesel PM Trend
Gravimetric PM
data by biodiesel
blend for the light-
duty diesel engine
from this study
(dashed line &
blue data points)
General trend
reported by EPA
(2002) - solid line
and black data
points
Giakoumis et al. (2012)
Majority of data for
EPA (2002) &
Giakoumis et al.
(2012) for heavy-
duty diesel engines
Bielaczyc et al. (2009)
data for a LDD engine
Slide 51
Biodiesel PM Mass Data
Slide 52
EEPS Report Card
Key
SP: Satisfactory Progress
UP: Unsatisfactory Progress
IMAGE SOURCE: diplomabuy.com
Slide 53
QA: EEPS Dataset 2 – Box Plots
Slide 54
QA: EEPS Dataset 2 – Detection Limit
EEPS pre-test instrument blank data
Slide 55
ULSD Cold-start Emissions
Slide 56
Cold-start: Fractional Contributions
Slide 57
Sakunthalai et al. (2014): ULSD Cold-starts
Cambustion Differential
Mobility Spectrometer
(DMS500) data for LDD
engine exhaust
SOURCE: Sakunthalai et al., 2014
• EEPS Soot Matrix
• Good agreement for ULSD (SMPS and Filter)
• Applied to cold-start emissions
• Biodiesel Exhaust Particles
• Not characterized well by EEPS
• Poor agreement with SMPS and Filter
Slide 58
Conclusions
• Biodiesel exhaust particle effective density
• Additional EEPS matrices
• Or user calibration
• EEPS evaluation for biodiesel blends
• EC/OC analysis by engine load
• Compared to particle size fractionation trend
Slide 59
Future Work
UVM Transportation Air Quality Lab
Britt Holmén
Tyler Feralio
John Kasumba
Karen Sentoff
Yao Tan
Acknowledgements
Questions & Answers
Betha, Raghu, and Rajasekhar Balasubramanian. "Particulate emissions from a stationary engine fueled with ultra-low-sulfur diesel and
waste-cooking-oil-derived biodiesel." Journal of the Air & Waste Management Association 61.10 (2011): 1063-1069.
Bielaczyc, Piotr, and Andrzej Szczotka. A study of RME-based biodiesel blend influence on performance, reliability and emissions from
modern light-duty diesel engines. No. 2008-01-1398. SAE Technical Paper, 2008.
Chung, A., A. A. Lall, and S. E. Paulson. "Particulate emissions by a small non-road diesel engine: Biodiesel and diesel characterization
and mass measurements using the extended idealized aggregates theory." Atmospheric Environment 42.9 (2008): 2129-2140.
Dec, John E. A conceptual model of di diesel combustion based on laser-sheet imaging*. No. 970873. SAE technical paper, 1997.
EPA, “A comprehensive analysis of biodiesel impacts on exhaust emissions (EPA420-P-02-001)." United States Environmental Protection
Agency (2002).
Giakoumis, Evangelos G., et al. "Exhaust emissions of diesel engines operating under transient conditions with biodiesel fuel blends."
Progress in Energy and Combustion Science 38.5 (2012): 691-715.
Guarieiro, Lílian Lefol Nani and Aline Lefol Nani Guarieiro (2015). Impact of the Biofuels Burning on Particle Emissions from the
Vehicular Exhaust, Biofuels - Status and Perspective, Prof. Krzysztof Biernat (Ed.), ISBN: 978-953-51-2177-0, InTech, DOI:
10.5772/60110.
Guha, Suvajyoti, et al. "Electrospray–differential mobility analysis of bionanoparticles." Trends in biotechnology 30.5 (2012): 291-300.
Hinds WC. Aerosol Technology: Properties, Behavior, and Measurement of Airborne Particles, 2nd edn. John Wiley & Sons, Inc, New
York, 1999.
Holmén, B. A.; Feralio, T.; Dunshee, J.; Sentoff, K. Tailpipe Emissions and Engine Performance of a Light-Duty Diesel Engine Operating on
Petro- and Bio-diesel Fuel Blends. 2014.
Kaminski H, Kuhlbusch TAJ, Rath S, Götz U, Sprenger M, Wels D, Polloczek J, Bachmann V, Dziurowitz N, Kiesling HJ, et al. Comparability
of mobility particle sizers and diffusion chargers. Journal of Aerosol Science. 2013;57:156-178
Khalek, Imad A. "The particulars of diesel particle emissions." Technology Today 27.1 (2006): 2-5.
Kittelson DB. “Engines and nanoparticles: a review.” J. Aerosol Sci.1998; 29: 575–88.
Kittelson, David, and Markus KRAFT. "Particle Formation and Models in Internal Combustion Engines." United Kingdom: University of
Cambridge (2014).
Slide 62
References (1 of 2)
Krinke, Thomas and Axel Zerrath. “EEPS/FMPS: From Raw Data to Size Distribution.” Presentation (Sep. 2011).
Lapuerta, Magin, Octavio Armas, and Jose Rodriguez-Fernandez. "Effect of biodiesel fuels on diesel engine emissions." Progress in
energy and combustion science 34.2 (2008): 198-223.
Li, Yang, et al. Determination of Suspended Exhaust PM Mass for Light-Duty Vehicles. No. 2014-01-1594. SAE Technical Paper, 2014.
Liu, Z. Gerald, et al. "Comparison of strategies for the measurement of mass emissions from diesel engines emitting ultra-low levels of
particulate matter." Aerosol Science and Technology 43.11 (2009): 1142-1152.
Park, Kihong, et al. "Relationship between particle mass and mobility for diesel exhaust particles." Environmental science &
technology 37.3 (2003): 577-583.
Quiros, David C., et al. "Particle effective density and mass during steady-state operation of GDI, PFI, and diesel passenger cars." Journal
of Aerosol Science (2014).
Sakunthalai, Ramadhas Arumugam, et al. Impact of Cold Ambient Conditions on Cold Start and Idle Emissions from Diesel Engines. No.
2014-01-2715. SAE Technical Paper, 2014.
Seinfeld J. H. and Pandis S. N. (1998) Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 1st edition, J. Wiley,
New York.
TSI (2015). Updated inversion matrices for engine exhaust particle sizer (EEPS) spectrometer model 3090.
Twigg, Martyn V., and Paul R. Phillips. "Cleaning the air we breathe-Controlling diesel particulate emissions from passenger
cars." Platinum Metals Review53.1 (2009): 27-34.
Vouitsis, Elias, Leonidas Ntziachristos, and Zissis Samaras. "Particulate matter mass measurements for low emitting diesel powered
vehicles: what's next?." Progress in Energy and Combustion Science 29.6 (2003): 635-672.
Xue, Jian, et al. "Comparison of vehicle exhaust particle size distributions measured by SMPS and EEPS during steady-state
conditions." Aerosol Science and Technology 49.10 (2015): 984-996.
Zimmerman, Naomi, et al. "Comparison of three nanoparticle sizing instruments: The influence of particle morphology." Atmospheric
Environment86 (2014): 140-147.
Slide 63
References (2 of 2)

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MS Thesis Defense

  • 1. Electrical Mobility Measurements of Agglomerate Particulate Matter Jim Dunshee MS Thesis Defense November 11th, 2015
  • 2. Slide 2 Historical Perspective: Particle Uncertainty “…but how many particles are really present under any conditions, and how the number varies, we have at present very little idea.” - John Aitken, 1888 SOURCES: Aitken, 1888; Wellcome Library; Seinfeld & Pandis, 2006
  • 3. ≥10 microns (µm) visible to the human eye Slide 3 Particulate Matter (PM) IMAGE SOURCE: ciese.org “A complex mixture of extremely small particles and liquid droplets” (US EPA) PM10 PM2.5
  • 4. Slide 4 PM & Health • Class 1 Carcinogen • No evidence of safe exposure level (World Health Organization, 2013) IMAGE SOURCE: alencorp.com (Everything You Need to Know About Airborne Particulate Matter)
  • 5. Slide 5 Particle Size Distribution Low←Number→High Small ← Particle Diameter → Large
  • 6. Slide 6 Diesel PM Size Distribution IMAGE SOURCE: Kittelson,, 1998
  • 7. Slide 7 Spark vs. Compression Ignition Engine Emissions IMAGE SOURCE: dieselnet.com SI engine with catalyst Diesel engine (100%) RelativeEmissions(%)
  • 8. Slide 8 Engine Cycles Gasoline - Otto Cycle • Spark Ignition (SI) • Homogeneous combustion • Burns “rich” • Air-fuel ratio < stoichiometric Diesel - Diesel Cycle • Compression Ignition (CI) • Heterogeneous combustion • Burns “lean” • Air-fuel ratio > stoichiometric IMAGE SOURCE: Reactive Flow Modeling Laboratory (rfml.kaust.edu.sa)
  • 9. Slide 9 Diesel PM/NOx Tradeoff Diffusion Flame Combustion Oxidation • Decreases soot (PM) • Increases NOx SOURCES: Kittelson & Kraft, 2014; Dec, 1997
  • 10. Slide 10 Diesel PM Formation IMAGE SOURCES: Khalek, 2006; Twigg & Phillips, 2009 Elemental Carbon (EC) Organic Carbon (OC)
  • 11. Slide 11 PM Formation by Particle Size IMAGE SOURCE: Guarieiro & Guarieiro, 2015 Re- entrainment Engine wear
  • 12. Slide 12 Diesel Properties Medium petroleum distillates: C8 – C21 Ultra-Low Sulfur Diesel (ULSD): Naturally occurring sulfur (a lubrication agent) reduced to 15ppm = less soot formation ~75% Alkanes ~25% May result in toxic aromatic emissions IMAGE SOURCE: criticalfueltech.com
  • 13. Slide 13 Biodiesel Properties Fatty Acid Methyl Esters (FAMEs) Potential to reduce PM: • Oxygen content of molecule (complete combustion/soot oxidation) • Absence of sulfur • Absence of aromatic compounds (Lapuerta et al., 2007) IMAGE SOURCE: biofuelsystems.com/biodiesel-chemistry
  • 14. Slide 14 Biodiesel PM Properties Chung et al., 2008 (diesel generator): Irregular compact particles with more organic carbon relative to ULSD SOURCE: Chung et al., 2008 Diesel Biodiesel
  • 15. Slide 15 PM Measurement The Gravimetric Method Operational Definition: “mass collected on a filter” under specified conditions (Swanson et al., 2012) Units: Mass Concentration (µg/m³) = Issues: 1) Temporal Resolution requires time to collect sample 2) Measurement Error low modern vehicle emission rates
  • 16. Diesel PM Emission Standards Slide 16SOURCES: (a) Twigg & Phillips, 2009; (b) Vouitsis et al., 2003 (b) US and EU diesel PM emission limits for heavy-duty vehicles from 1992-2010 (a) EU legislated diesel PM emission limits for passenger cars from 1983-2010
  • 17. Slide 17 Gravimetric Accuracy SOURCE: Vouitsis et al., 2003; ACEA report 99000524 Note: emission rates and standards for heavy-duty engines
  • 18. Slide 18 New Method: IPSD (Integrated Particle Size Distribution) Basic procedure 1. Measure particle size distribution (PSD) by number 2. Assume spherical particles to calculate volume 3. Apply size dependent density values to calculate mass m = ρV mass = density x volume Low←Number→High d 2 = r V = 4 3 πr3 IMAGE SOURCES: vironova.com, rkm.com.au Method formalized by Liu et al. (2009)
  • 19. • Light-duty vehicles (gas & diesel) • Empirically based particle effective density values • Good correlation (R² = 0.79) between IPSD and Gravimetric • Systematic bias (MassIPSD = 0.63 x MassGrav) Slide 19 Li et al. (2014) : IPSD Study
  • 20. Slide 20 Problem With PSD Measurements (EEPS) Discrepancies reported between Engine ExhaustParticle Sizer (EEPS or FMPS) and Scanning Mobility Particle Sizer (SMPS) for agglomerate particles (e.g., diesel soot) (Kaminski et al., 2013; Quiros et al., 2014; Zimmerman et al., 2014)
  • 21. Slide 21 SMPS (Scanning Mobility Particle Sizer) IMAGE SOURCES: Guha et al., 2012; redwoodareahospital.org Considered the “gold standard” particle sizing/counting system
  • 22. Slide 22 SMPS: Bipolar Diffusion Charging Roughly independent of particle morphology Note: Particle charging efficiency drops dramatically below 20nm for Boltzmann distribution (shown). Fuchs charging theory is better for Dp < ~50nm. Charge distribution forms over time (Hinds, 1999): < -3 -3 -2 -1 0 +1 +2 +3 > +3 0.01 0.007 0.3 99.3 0.3 0.02 0.104 5.2 89.6 5.2 0.05 0.411 0.6 19.3 60.2 19.3 0.6 0.1 0.672 0.3 4.4 24.1 42.6 24.1 4.4 0.3 0.2 1.00 0.3 2.3 9.6 22.6 30.1 22.6 9.6 2.3 0.3 0.5 1.64 4.6 6.8 12.1 17.0 19.0 17.0 12.1 6.8 4.6 1.0 2.34 11.8 8.1 10.7 12.7 13.5 12.7 10.7 8.1 11.8 2.0 3.33 20.1 7.4 8.5 9.3 9.5 9.3 8.5 7.4 20.1 5.0 5.28 29.8 5.4 5.8 6.0 6.0 6.0 5.8 5.4 29.8 10.0 7.47 35.4 4.0 4.2 4.2 4.3 4.2 4.2 4.0 35.4 Percentage of particles carrying the indicated number of charges Dp (µm) Average No. of Charges IMAGE SOURCE: palas.de/en/product/kr8557
  • 23. Slide 23 EEPS (Engine Exhaust/Fast Mobility Particle Sizer) Unipolar charger: SOURCES: Krinke & Zerrath, 2011; TSI, 2015
  • 24. Slide 24 EEPS: Unipolar Diffusion Charging Default calibration underestimates charge for agglomerates IMAGE SOURCE: TSI, 2015 TSI Solution: New, empirically based, EEPS data inversion matrices Problem: EEPS unipolar charge distribution calibrated for spheres (emery oil)
  • 25. turbocharged, 4 cylinder, 4.5L, 75kW, Tier 3 diesel engine fueled with BP6 diesel fuel with a sulfur content of 6ppm Slide 25 New EEPS Matrix Development by TSI SOURCE: TSI, 2015
  • 26. Slide 26 New EEPS Matrices: Soot & Compact Instrument matrix calibrated for soot Comparison of current matrices at 420nm and 42nm electrometer columns
  • 27. Slide 27 Soot Matrix Results: Heavy-duty Engine IMAGE SOURCE: TSI, 2015 Low Load: High Load: Number Volume
  • 28. Slide 28 Soot Matrix Results: Light-duty Engine IMAGE SOURCE: TSI, 2015 GM A20DTH 2.0L light duty turbo charged diesel engine
  • 29. Slide 29 GMD Agreement with Soot Matrix No longer underestimates larger agglomerate particles (Dp > ~100nm) IMAGE SOURCE: TSI, 2015
  • 30. 1) How accurate are new EEPS matrices for various vehicle exhaust particles? a) Biodiesel - unique morphology/chemical composition? b) Transient drive-cycle 2) Do new EEPS matrices improve mass estimates with IPSD method? a) IPSD vs. Gravimetric b) Transient events (e.g., cold-start) Slide 30 Research Questions?
  • 31. Slide 31 Current Study Experiments/Dataset 1: EEPS Evaluation Experiments/Dataset 2: Cold-start Emissions EEPS measurements for first 30sec of engine start at 10, 15, and 25°C (nominally)
  • 32. Slide 32 Data Collection Sequence Event Setting Duration Instrument Blank (preIB) Instrument on HEPA filter ≥10min Tunnel Blank (preTB) Dilution System On ≥10min Engine Idle Engine On 7.5min Engine Warm-up 3300rpm, 40 or 60% Throttle 7.5min Test Cycle Various ~90min Engine Cool-down (Idle) Engine On 7.5min Tunnel Blank (postTB) Dilution System On ≥10min Instrument Blank (postIB) Instrument on HEPA filter ≥10min Test Cycles 1) Steady State (75% engine load) 2) Transient (60min) + 3x10min Steady State Phases - Depicted in Slide 37
  • 33. Slide 33 Experimental Setup Engine exhaust Dry, filtered air Key: Differential Pressure Gage Temp. Control Setpoint (°C) 2 stage diluter Diluted Sample Dilution Ratio ~80:1 Engine drive cycle and dilution system developed by by Tyler Feralio (image credit) Engine: Volkswagen 1.9L SDi (similar to Euro II LDD) • 4 Cylinders • No aftertreatment devices
  • 34. Slide 34 Fuel Properties SOURCE: GC-MS analysis conducted by John Kasumba ULSD (0.81g/cm³) Soybean Biodiesel (0.86g/cm³)
  • 36. Slide 36 Quality Assurance: SMPS & Filters SMPS (units: #/cm³) 90min Filter Blanks (Tunnel) N 5 Avg 4 µg/m³ StDev 2.4 Minimum value from tests: 35.5 µg/m³ Reported as: MEAN [95% One-sided Upper Confidence Limit]
  • 37. Slide 37 QA: EEPS Dataset 1 – Box Plots
  • 38. Slide 38 QA: EEPS Dataset 1 – Detection Limit EEPS pre-test instrument blank data
  • 39. Slide 39 ULSD Steady State PSDs Log-log plot Semi-log plot
  • 40. Slide 40 ULSD Modal Fit Parameters
  • 41. Slide 41 Xue et al. (2015): Generator on ULSD SOURCE: Xue et al., 2015
  • 42. Slide 42 ULSD PM Mass Data
  • 43. Slide 43 Soot vs. Default: Transient Cycle w/ ULSD
  • 44. Slide 44 ULSD Transient Phase: Fractional Contributions
  • 45. Slide 45 ULSD Steady State: Fractional Contributions
  • 46. Slide 46 Betha & Balasubramanian (2011): ULSD Particle Fractionation Idle 30% 70% 100% Engine Load (%) 100% 80% 60% 40% 20% 0% ParticleNumberFraction(%) Nanoparticles (>50nm) Ultrafine (50-100nm) Fine (>100nm) FMPS data (i.e., Default EEPS matrix) for diesel generator exhaust SOURCE: Betha & Balasubramanian, 2011
  • 47. Slide 47 Biodiesel Steady State PSDs Log-log plot Semi-log plot
  • 48. Slide 48 Biodiesel Modal Fit Parameters
  • 49. Slide 49 Xue et al. (2015): Generator on Biodiesel SOURCE: Xue et al., 2015
  • 50. Slide 50 Biodiesel PM Trend Gravimetric PM data by biodiesel blend for the light- duty diesel engine from this study (dashed line & blue data points) General trend reported by EPA (2002) - solid line and black data points Giakoumis et al. (2012) Majority of data for EPA (2002) & Giakoumis et al. (2012) for heavy- duty diesel engines Bielaczyc et al. (2009) data for a LDD engine
  • 52. Slide 52 EEPS Report Card Key SP: Satisfactory Progress UP: Unsatisfactory Progress IMAGE SOURCE: diplomabuy.com
  • 53. Slide 53 QA: EEPS Dataset 2 – Box Plots
  • 54. Slide 54 QA: EEPS Dataset 2 – Detection Limit EEPS pre-test instrument blank data
  • 57. Slide 57 Sakunthalai et al. (2014): ULSD Cold-starts Cambustion Differential Mobility Spectrometer (DMS500) data for LDD engine exhaust SOURCE: Sakunthalai et al., 2014
  • 58. • EEPS Soot Matrix • Good agreement for ULSD (SMPS and Filter) • Applied to cold-start emissions • Biodiesel Exhaust Particles • Not characterized well by EEPS • Poor agreement with SMPS and Filter Slide 58 Conclusions
  • 59. • Biodiesel exhaust particle effective density • Additional EEPS matrices • Or user calibration • EEPS evaluation for biodiesel blends • EC/OC analysis by engine load • Compared to particle size fractionation trend Slide 59 Future Work
  • 60. UVM Transportation Air Quality Lab Britt Holmén Tyler Feralio John Kasumba Karen Sentoff Yao Tan Acknowledgements
  • 62. Betha, Raghu, and Rajasekhar Balasubramanian. "Particulate emissions from a stationary engine fueled with ultra-low-sulfur diesel and waste-cooking-oil-derived biodiesel." Journal of the Air & Waste Management Association 61.10 (2011): 1063-1069. Bielaczyc, Piotr, and Andrzej Szczotka. A study of RME-based biodiesel blend influence on performance, reliability and emissions from modern light-duty diesel engines. No. 2008-01-1398. SAE Technical Paper, 2008. Chung, A., A. A. Lall, and S. E. Paulson. "Particulate emissions by a small non-road diesel engine: Biodiesel and diesel characterization and mass measurements using the extended idealized aggregates theory." Atmospheric Environment 42.9 (2008): 2129-2140. Dec, John E. A conceptual model of di diesel combustion based on laser-sheet imaging*. No. 970873. SAE technical paper, 1997. EPA, “A comprehensive analysis of biodiesel impacts on exhaust emissions (EPA420-P-02-001)." United States Environmental Protection Agency (2002). Giakoumis, Evangelos G., et al. "Exhaust emissions of diesel engines operating under transient conditions with biodiesel fuel blends." Progress in Energy and Combustion Science 38.5 (2012): 691-715. Guarieiro, Lílian Lefol Nani and Aline Lefol Nani Guarieiro (2015). Impact of the Biofuels Burning on Particle Emissions from the Vehicular Exhaust, Biofuels - Status and Perspective, Prof. Krzysztof Biernat (Ed.), ISBN: 978-953-51-2177-0, InTech, DOI: 10.5772/60110. Guha, Suvajyoti, et al. "Electrospray–differential mobility analysis of bionanoparticles." Trends in biotechnology 30.5 (2012): 291-300. Hinds WC. Aerosol Technology: Properties, Behavior, and Measurement of Airborne Particles, 2nd edn. John Wiley & Sons, Inc, New York, 1999. Holmén, B. A.; Feralio, T.; Dunshee, J.; Sentoff, K. Tailpipe Emissions and Engine Performance of a Light-Duty Diesel Engine Operating on Petro- and Bio-diesel Fuel Blends. 2014. Kaminski H, Kuhlbusch TAJ, Rath S, Götz U, Sprenger M, Wels D, Polloczek J, Bachmann V, Dziurowitz N, Kiesling HJ, et al. Comparability of mobility particle sizers and diffusion chargers. Journal of Aerosol Science. 2013;57:156-178 Khalek, Imad A. "The particulars of diesel particle emissions." Technology Today 27.1 (2006): 2-5. Kittelson DB. “Engines and nanoparticles: a review.” J. Aerosol Sci.1998; 29: 575–88. Kittelson, David, and Markus KRAFT. "Particle Formation and Models in Internal Combustion Engines." United Kingdom: University of Cambridge (2014). Slide 62 References (1 of 2)
  • 63. Krinke, Thomas and Axel Zerrath. “EEPS/FMPS: From Raw Data to Size Distribution.” Presentation (Sep. 2011). Lapuerta, Magin, Octavio Armas, and Jose Rodriguez-Fernandez. "Effect of biodiesel fuels on diesel engine emissions." Progress in energy and combustion science 34.2 (2008): 198-223. Li, Yang, et al. Determination of Suspended Exhaust PM Mass for Light-Duty Vehicles. No. 2014-01-1594. SAE Technical Paper, 2014. Liu, Z. Gerald, et al. "Comparison of strategies for the measurement of mass emissions from diesel engines emitting ultra-low levels of particulate matter." Aerosol Science and Technology 43.11 (2009): 1142-1152. Park, Kihong, et al. "Relationship between particle mass and mobility for diesel exhaust particles." Environmental science & technology 37.3 (2003): 577-583. Quiros, David C., et al. "Particle effective density and mass during steady-state operation of GDI, PFI, and diesel passenger cars." Journal of Aerosol Science (2014). Sakunthalai, Ramadhas Arumugam, et al. Impact of Cold Ambient Conditions on Cold Start and Idle Emissions from Diesel Engines. No. 2014-01-2715. SAE Technical Paper, 2014. Seinfeld J. H. and Pandis S. N. (1998) Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 1st edition, J. Wiley, New York. TSI (2015). Updated inversion matrices for engine exhaust particle sizer (EEPS) spectrometer model 3090. Twigg, Martyn V., and Paul R. Phillips. "Cleaning the air we breathe-Controlling diesel particulate emissions from passenger cars." Platinum Metals Review53.1 (2009): 27-34. Vouitsis, Elias, Leonidas Ntziachristos, and Zissis Samaras. "Particulate matter mass measurements for low emitting diesel powered vehicles: what's next?." Progress in Energy and Combustion Science 29.6 (2003): 635-672. Xue, Jian, et al. "Comparison of vehicle exhaust particle size distributions measured by SMPS and EEPS during steady-state conditions." Aerosol Science and Technology 49.10 (2015): 984-996. Zimmerman, Naomi, et al. "Comparison of three nanoparticle sizing instruments: The influence of particle morphology." Atmospheric Environment86 (2014): 140-147. Slide 63 References (2 of 2)

Editor's Notes

  1. My thesis: General: how well can we measure real-time/low-levels of particulate matter Focus: evaluate EEPS for specific vehicle exhaust particle types This presentation: Background: particulate matter – definition, characteristics, formation, measurement methodology Methodology: evaluating EEPS with diesel and biodiesel exhaust particles under various conditions Results: accuracy of EEPS relative to reference measurements Conclusions and Recommendations
  2. We have worked on the problem of measuring particulate matter for over a century.
  3. Complex: chemically and structurally PM10 = coarse PM2.5 = fine
  4. Diesel PM contains toxic substances such as polycyclic aromatic hydrocarbons and is typically less than 1um in size
  5. Particles exhibit a lognormal distribution of sizes
  6. 70% of ultrafine particles deposit in alveoli
  7. Diesel: compresses more air -> higher temperature combustion
  8. Soot formed from incomplete combustion, pyrolysis, and dehydrogenation
  9. Hydrocarbons (OC): gas phase cools and nucleates into tiny particles or adsorbs to existing particles Adsorption/condensation occurs in atmosphere Soot (EC): pyrolyzed carbon
  10. PM/NOx tradeoff still occurs
  11. TEM images from 60% load
  12. Specified cutoff diameter (PM2.5 or 10) Specified dilution conditions Can’t do real-time emissions Low concentration measurement error
  13. Note scales (linear and log) Decreased by at least one order of magnitude
  14. Takes time to change voltage in electrostatic classifier
  15. Radiation ionizes the air/carrier gas molecules, those ions collide with particles to form charged particles. Charging is time dependent.
  16. Fast electrical corona charger imparts one charge Rings of electrometers detect size bins in real-time (up to 10Hz)
  17. Problem begins around 100nm, is worse with size due to more fractal-like particles
  18. Volume distributions on right show importance of correctly measuring larger sizes for IPSD.
  19. Volume distributions on right show importance of correctly measuring larger sizes for IPSD.
  20. Confirming ULSD PSD accuracy with SMPS, then testing transient cycle (gravimetric) Evaluating biodiesel PSD accuracy with SMPS and gravimetric Assuming ULSD evaluation shows good accuracy, apply EEPS to cold-start emissions (transient, high-emitting events with low total mass)
  21. Approximately one order of magnitude higher than exhaust measurements
  22. Cambustion agglomerate calibration available in 2014