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The Pennsylvania State University
The Graduate School
John and Willie Leone Family Department of Energy and Mineral Engineering
INVESTIGATION OF IMPACT OF FUEL INJECTION STRATEGY AND
BIODIESEL FUELING ON ENGINE EMISSIONS AND PERFORMANCE
A Dissertation in
Energy and Mineral Engineeringby
Peng Ye
2011 Peng Ye
Submitted in Partial Fulfillment
of the Requirements
for the Degree of
Doctor of Philosophy
December 2011
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Abstract
Both biodiesel fueling and changes of fuel injection pressure have significant
impacts on diesel engine emissions. The investigations of their impacts on engine exhaust
NOx and particulate matter emissions were conducted with an 8-cylinder common-rail
turbocharged direct injection diesel engine using ultra low sulfur diesel fuel and soybean
methyl ester (SME) based biodiesel blends. The engine was running at moderate speed
and different loads. Three fuel injection parameters: start of injection, fuel injection
pressure and fuel injection duration were investigated to investigate their impact on
engine emissions. With the control of fuel injection strategy, it is shown in this work that
the biodiesel engine NOx emission penalty can be eliminated.
A fuel spray, mixture stoichiometry field and lift-off length model was employed
to explain the variations of NOx emission from biodiesel fueling and change of fuel
injection strategy. Linear correlations between the average oxygen equivalence ratio of
the fuel-air mixture at the autoignition zone near the lift-off length and brake specific
NOx emissions were observed for all load conditions, regardless of fuel type. This
confirms that the dominant factor that determines NOx emissions is the ignition event
controlled by the oxygen equivalence ratio at the autoignition zone.
The impact of late in-cylinder (post) injection combustion with biodiesel on
lubricating oil dilution was investigated in this work. It is shown that this injection
strategy could effectively decrease engine NOx emissions, while increase the CO and
unburned hydrocarbon emissions. The lubricating oil dilution depends on the post
injection timing: an increase in the lubricating oil dilution can be only observed if the
post injection timing is later than 45 after top dead center.
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The impacts of fuel injection pressure on diesel and biodiesel soot morphology
and oxidative reactivity were investigated. It is shown that compared with engine
condition and fuel injection pressure, biodiesel has much less significant impact on soot
morphology. For soot oxidative reactivity, it is found that both diesel and biodiesel soot
from higher fuel injection pressure have higher reactivity, and biodiesel soot has higher
reactivity than diesel soot when both of them are obtained from the same injection
pressure.
The optimized apparent heat release pattern for improved engine thermal
efficiency was investigated with a zero-dimensional engine thermodynamic simulation.The results suggest that the optimized apparent heat release is a wide and low peak.
The reason for this kind of heat release is that it can decrease the in-cylinder temperature
and consequently decrease heat loss.
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Table of Contents
List of Figures ................................................................................................................... vii
List of Tables. .................................................................................................................. xiv
Nomenclature .................................................................................................................... xv
Acknowledgements ........................................................................................................ xviii
Chapter I. Introduction ................................................................................................... 1
Chapter II. Literature Review.......................................................................................... 7
2.1 Biodiesel background ............................................................................................ 7
2.2 Impact of biodiesel fueling on engine emissions ................................................ 13
2.2.1 Nitric oxides (NOx) ....................................................................................... 15
2.2.2 Particulate Matter (PM) ................................................................................. 19
2.3 Origin of biodiesel emission effect ..................................................................... 22
2.3.1 Biodiesel NOx effect...................................................................................... 22
2.3.2 Biodiesel particulate matter effect ................................................................. 27
2.4 Fuel Injection strategy with biodiesel fueling ..................................................... 29
2.5 Post injection strategy ......................................................................................... 33
2.6 Biodiesel and fuel injection pressure on PM morphology and soot oxidative
reactivity .............................................................................................................. 362.6.1 PM morphology ............................................................................................. 36
2.6.2 Soot oxidative reactivity ................................................................................ 40
2.7 Impact of biodiesel fueling, injection strategy and heat release pattern on Engineefficiency ............................................................................................................. 42
Chapter III. Technical Approach .................................................................................... 49
3.1 Experiment apparatus.......................................................................................... 49
3.2 Engine emission bench: ...................................................................................... 50
3.3 Test fuel .............................................................................................................. 513.4 Engine test conditions ......................................................................................... 53
3.5 Biodiesel lubricating oil dilution ........................................................................ 57
3.6 Soot characterization ........................................................................................... 60
Chapter IV. Investigation of injection strategy and biodiesel fueling on diesel engineemissions and performance ........................................................................ 64
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4.1 Impact of injection timing and fuel injection pressure on NOx emissions ......... 64
4.2 Impact of injection timing and fuel injection pressure on particulate matter (PM)emissions ............................................................................................................. 68
4.3 NOx-PM trade-off ............................................................................................... 72
4.4 Brake thermal efficiency ..................................................................................... 784.5 Apparent heat release analysis ............................................................................ 83
Chapter V. Origin of biodiesel NOx effect ................................................................... 92
Chapter VI. Investigation of late in-cylinder injection strategy on engine emissions andlubricant fuel dilution ............................................................................... 108
6.1 Exhaust Emissions ............................................................................................ 108
6.2 Exhaust Temperature and BSFC ....................................................................... 110
6.3 Heat Release Analysis....................................................................................... 112
6.4 Oil Dilution Level, Total Acid Number (TAN) and mfMEP ........................... 120
6.5 Analysis of Hydrocarbons from Lubricant and Exhaust................................... 123
Chapter VII. Impact of fuel injection pressure on soot morphology and oxidativereactivity ................................................................................................... 129
7.1 Morphology analysis ......................................................................................... 129
7.2 Analysis of soot oxidative reactivity................................................................. 139
Chapter VIII.Optimized heat release pattern to achieve high engine efficiency ............ 149
8.1 Model formulation ............................................................................................ 149
8.2 Computational procedure .................................................................................. 156
8.3 Optimized heat release pattern probing ............................................................ 163
Chapter IX. Conclusions and recommendations for future work ................................. 193
References. .................................................................................................................. 199
Appendix A: Matlab code ............................................................................................... 229
Appendix B: Repeatability of thermogravimetric analysis ............................................. 236
Appendix C: Repeatability of Raman analysis .............................................................. 239
Appendix D: Repeatability of Morphology analysis ...................................................... 240
Appendix E: Repeatability of particle size distribution (SMPS) result .......................... 242
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List of Figures
Figure II-1: A diagram representing the transesterification process, replicated from [6].The general scheme of the process is to modify a triglyceride (a fat or oil
which is a glyceride with three fatty acids, represented as R1, R2 andR3)into a fatty acid methyl ester. ....................................................................... 8
Figure II-2: NOx, PM, CO and HC % changes as biodiesel blending percentage increaseas determined by the EPA through statistical regression of publicallyavailable data on highway heavy-duty truck engines [18, 51]. Taken from[44] ............................................................................................................. 14
Figure II-3: Diesel soot agglomerate composed of spherical primary particles, taken fromRef. [168] .................................................................................................... 37
Figure II-4: A sketch of limit-pressure cycle .................................................................... 46Figure II-5: Indicated efficiency map with and .......................................................... 47
Figure III-1: FAME composition of B100 soybean oil methyl ester ................................ 52
Figure III-2: Molecular structures[217], names, abbreviations, chemical formulas, andChemical Abstracts Service (CAS) numbers of compounds comprising thebiodiesel used in this work. ........................................................................ 53
Figure III-3: Thermophoretic sampling apparatus ............................................................ 57
Figure III-4: FTIR spectrums for oils with different biodiesel dilution............................ 58
Figure III-5: Correlation between absorbance of Peak 1746 cm-1from FTIR and dilutionlevel ............................................................................................................ 59
Figure III-6: Demonstration of curve fitting for Raman spectrum ................................... 63
Figure IV-1: NOx emissions at 25% load. Four injection timings (9, 5, 1 before topdead center and 3 after top dead center) were tested for both ultra lowsulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (52, 60and 80 MPa) were tested at each injection timing ...................................... 65
Figure IV-2: NOx emissions at 50% load. Four injection timings (9, 7, 5, 3 1 beforetop dead center and 1, 3 after top dead center) were tested for both ultralow sulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (72,90 and 108 MPa) were tested at each injection timing for ULSD, and sixfuel injection pressures (72, 80, 90, 98, 108 and 118 MPa) were tested ateach injection timing for B40. .................................................................... 66
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Figure IV-3: NOx emissions at 75% load. Four injection timings (9, 5, 1 before topdead center and 3 after top dead center) were tested for both ultra lowsulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (87,109 and 131 MPa) were tested at each injection timing. ............................ 67
Figure IV-4: PM emissions at 25% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfurdiesel (ULSD) and B40 blend. Three fuel injection pressures (52, 60 and 80MPa) were tested at each injection timing. ................................................ 69
Figure IV-5: PM emissions at 50% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfurdiesel (ULSD) and B40 blend. Three fuel injection pressures (72, 90 and108 MPa) were tested at each injection timing. ......................................... 71
Figure IV-6: PM emissions at 75% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfur
diesel (ULSD) and B40 blend. Three fuel injection pressures (87, 109 and131 MPa) were tested at each injection timing. ......................................... 72
Figure IV-7: NOx-PM emission trade-off at 25% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (52, 66 and 80MPa) were tested at each injection timing for each fuel. Fuel injectionpressure is not distinguished in the plot. .................................................... 73
Figure IV-8: NOx-PM emission trade-off at 50% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (72, 90 and108 MPa) were tested at each injection timing for each fuel. Fuel injection
pressure is not distinguished in the plot ..................................................... 74
Figure IV-9: NOx-PM emission trade-off at 75% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (87, 109 and131 MPa) were tested at each injection timing for each fuel. Fuel injectionpressure is not distinguished in the plot ..................................................... 75
Figure IV-10: PM-NOx emission trade-off at the start of injection timing at 9 before topdead center for ultra low sulfur diesel and B40. (a) 25% load; (b): 50% load;(c): 75% load; (d): 75% load after Soxhlet of PM filters ........................... 77
Figure IV-11: Brake thermal efficiency at 25% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 79
Figure IV-12: Brake thermal efficiency at 50% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 81
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Figure IV-13: Brake thermal efficiency at 75% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 82
Figure IV-14: Apparent heat release profile of different fuels and different fuel injectionpressures at 25% load. The SOI: a) 9BTDC, b) 5BTDC, c) 1BTDC, d)3ATDC. ..................................................................................................... 85
Figure IV-15: Apparent heat release profile of different fuels and different fuel injectionpressures at 50% load. The SOI: a) 9BTDC, b) 5BTDC, c) 1BTDC, d)3ATDC. ..................................................................................................... 88
Figure V-2: Oxygen equivalence ratio () field for ULSD and B40 at different injectionpressures at the SOI of 7BTDC, mid-load ................................................ 99
Figure V-3: Oxygen equivalence ratio () field for ULSD and B40 at different injectionpressures at the SOI of 9BTDC, mid-load .............................................. 100
Figure V-4: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 25% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 102
Figure V-5: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 50% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 103
Figure V-6: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 75% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 104
Figure V-7: semi-ln plot of absolute value of slope vs. SOI .......................................... 105
Figure V-8: semi-ln plot of Y-axis intercept (at X=0) vs. SOI ....................................... 106
Figure VI-1: Emissions of B20 engine test with various post injection strategies. Samplesare differentiated with post injection conditions while rest parameters werekept the same. The fuel for the non-ULSD test was B20. ........................ 109
Figure VI-2: Exhaust temperature and BSFC profile of the 100-hour test. Each point isthe average of one test period. The dash lines are used to divide zones ofeach post injection strategy. ..................................................................... 111
Figure VI-3: Pressure traces of test with different post injection strategies at both TDC(top) and late crank angle (bottom) .......................................................... 113
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Figure VI-5: Bulk cylinder temperature of tests with different post injection strategies.The arrow points to the lowest acceptable combustion temperature. ....... 117
Figure VI-7: GC-MS results of diesel, B100, lighter cut from 432C distillation of freshand used lubricant (top); Region of interest in the GC-MS results (bottom).The numbers at the diesel zone means the number of carbon in relevantparaffin. .................................................................................................... 124
Figure VI-8: GC-MS results of hydrocarbons collected from exhaust gases for variouspost injection strategies ............................................................................ 126
Figure VI-9: FAME composition of B100 and of the biodiesel in used lubricant. ........ 127
Figure VII-1: A transmission electronic microscopy (TEM) image of diesel soot at 30%load and 50 MPa fuel injection pressure .................................................. 130
Figure VII-2: A transmission electronic microscopy (TEM) image of B20 soot at 30%
load and 50 MPa fuel injection pressure .................................................. 131
Figure VII-3: Primary particle sizes for both diesel and B20 soot ................................. 133
Figure VII-4: Fractal dimensions for both diesel and B20 soot...................................... 134
Figure VII-5: Number of primary particles for both diesel and B20 soot ...................... 135
Figure VII-6: Particle size distribution of diesel and B20 combustion exhaust, 30% load,before thermodenuder ............................................................................... 136
Figure VII-7: Particle size distribution of diesel and B20 combustion exhaust, 30% load,
after thermodenuder ................................................................................. 137
Figure VII-8: Particle size distribution of diesel and B20 combustion exhaust, 60% load,before thermodenuder ............................................................................... 138
Figure VII-9: Particle size distribution of diesel and B20 combustion exhaust, 60% load,after thermodenuder ................................................................................. 139
Figure VII-10: Thermogravimetric analysis result of 30% load diesel and B20 soot, m/m0indicates the residual mass weight percentage. ........................................ 140
Figure VII-11: Thermogravimetric analysis result of 60% load diesel and B20 soot, m/m0indicates the residual mass weight percentage. ........................................ 141
Figure VII-12: Apparent oxidative reactivity of 30% load diesel and B20 soot ............ 143
Figure VII-13: Apparent oxidative reactivity of 60% load diesel and B20 soot ............ 144
Figure VII-14: AD1/Agratio with fuel injection pressure for both diesel and B20 soot . 146
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Figure VII-15: D1 FWHM values with fuel injection pressure for both diesel and B20soot ........................................................................................................... 147
Figure VIII-1: comparison of simulated motor pressure trace with engine data, running at1500 rpm, 30% load, single injection timing at 1 before top dead center,100 MPa fuel injection pressure ............................................................... 158
Figure VIII-2: Representation of apparent heat release (AHR) at 1500 rpm, 30% load, 1before top dead center injection, 100 MPa fuel injection pressure with aconvolution of two peaks: one Gaussian peak and one ExpConvExp peak.Top: difference between the engine data and fit curve; middle: comparisonof engine data and fit curve; bottom: deconvolution of artificial peaks. .. 159
Figure VIII-3: Representation of apparent heat release (AHR) at 1500 rpm, 60% load, 1before top dead center injection, 100 MPa fuel injection pressure with aconvolution of two peaks: one Gaussian peak and one ExpConvExp peak.Top: difference between the engine data and fit curve; middle: comparison
of engine data and fit curve; bottom: deconvolution of artificial peaks. .. 160
Figure VIII-4: comparison of simulated pressure trace with engine data, running at 1500rpm, 30% load, single injection timing at 1 before top dead center, 100MPa fuel injection pressure ...................................................................... 163
Figure VIII-5: Examples of apparent heat release with: h1/h1b = 0.2, h2/h2b=1.29;h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 .................................. 166
Figure VIII-6: Effect of start of combustion on indicated thermal efficiency, h1/h1b = 0.2,h2/h2b=1.29; h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 ............ 167
Figure VIII-7: Effect of start of combustion on brake thermal efficiency, h1/h1b = 0.2,h2/h2b=1.29; h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 ............ 168
Figure VIII-8: Examples of apparent heat release with: h1/h1b = 1, h2/h2b=1; h1/h1b = 2,h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4, h2/h2b=0.02 .......... 169
Figure VIII-9: Effect of start of combustion on indicated thermal efficiency, h1/h1b = 1,h2/h2b=1; h1/h1b = 2, h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4,h2/h2b=0.02 .............................................................................................. 170
Figure VIII-10: Effect of start of combustion on brake thermal efficiency, h1/h1b = 1,
h2/h2b=1; h1/h1b = 2, h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4,h2/h2b=0.02 .............................................................................................. 171
Figure VIII-11: Examples of apparent heat release with: w1/w1b = 0.6, h2/h2b=1.17;w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 ............................... 172
Figure VIII-12: Effect of start of combustion on indicated thermal efficiency, w1/w1b =0.6, h2/h2b=1.17; w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 . 173
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Figure VIII-13: Effect of start of combustion on brake thermal efficiency, w1/w1b = 0.6,h2/h2b=1.17; w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 ........ 174
Figure VIII-14: Examples of apparent heat release with: w1/w1b = 1, h2/h2b=1; w1/w1b= 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b = 4, h2/h2b=0.02 175
Figure VIII-15: Effect of start of combustion on indicated thermal efficiency, w1/w1b = 1,h2/h2b=1; w1/w1b = 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b= 4, h2/h2b=0.02 ...................................................................................... 176
Figure VIII-16: Effect of start of combustion on brake thermal efficiency, w1/w1b = 1,h2/h2b=1; w1/w1b = 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b= 4, h2/h2b=0.02 ...................................................................................... 177
Figure VIII-17: Examples of apparent heat release with different peak distances ......... 178
Figure VIII-18: Effect of start of combustion on indicated thermal efficiency with
different peak distance, L = l2-l1............................................................ 179
Figure VIII-19: Effect of start of combustion on brake thermal efficiency with differentpeak distance ............................................................................................ 180
Figure VIII-20: Examples of apparent heat release profiles for sharp peak (h1/h1b = 8)versus low and wide peak (w1/w1b = 8) .................................................. 181
Figure VIII-21: Indicated thermal efficiency for sharp peak (h1/h1b = 8) versus low andwide peak (w1/w1b = 8) ........................................................................... 182
Figure VIII-22: Brake thermal efficiency for sharp peak (h1/h1b = 8) versus load andwide peak (w1/w1b = 8) ........................................................................... 183
Figure VIII-23: Heat transfer loss for sharp peak (h1/h1b = 8) versus load and wide peak(w1/w1b = 8) ............................................................................................ 184
Figure VIII-24: Comparison of cylinder pressure for sharp peak (h1/h1b = 8) versus loadand wide peak (w1/w1b = 8) apparent heat release .................................. 185
Figure VIII-25: Indicated work for sharp peak (h1/h1b = 8) versus low and wide peak(w1/w1b = 8) ............................................................................................ 186
Figure VIII-26: P-V diagram for sharp peak (h1/h1b = 8) versus low and wide peak(w1/w1b = 8) ............................................................................................ 187
Figure VIII-27: Comparison of two apparent heat release (AHR) profiles with the samestart of combustion timing at 362.2 (2.2 after top dead center), indicatedefficiency of AHR1 = 49.74%, indicated efficiency of AHR2 = 47.23% 188
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Figure VIII-28: Comparison of cylinder pressure traces of two apparent heat release(AHR) profiles with the same start of combustion timing at 362.2 (2.2after top dead center), indicated efficiency of AHR1 = 49.74%, indicatedefficiency of AHR2 = 47.23% .................................................................. 189
Figure VIII-29: Comparison of two apparent heat release (AHR) profiles with the samestart of combustion timing at 350 (10 before top dead center), indicatedefficiency of AHR1 = 50.02%, indicated efficiency of AHR2 = 50.84% 190
Figure VIII-30: Comparison of cylinder pressure traces of two apparent heat release(AHR) profiles with the same start of combustion timing at 350 (10before top dead center), indicated efficiency of AHR1 = 50.02%, indicatedefficiency of AHR2 = 50.84% .................................................................. 191
Figure B-1: Repeatability of thermogravimetric analysis for diesel soot, 30% load and 75MPa .......................................................................................................... 238
Figure E-1: Repeatability of particle size distribution of exhaust gases running with B20at 30% load and 50 MPa fuel injection pressure ...................................... 242
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List of Tables
Table I-1: Emission regulation for light and heavy duty diesel engines [3] ....................... 2
Table II-1: Chemical structure of common fatty acids, taken from [38] ............................ 9
Table II-2: Chemical composition of biodiesel derived from different feedstock, takenfrom [39] ..................................................................................................... 10
Table II-3: Physical and chemical properties of common fatty acid methyl esters(FAMEs), taken from [39] .......................................................................... 10
Table II-4: The effects of property differences between soy methyl ester biodiesel or itsblend and petroleum diesel on engine parameters and fuel combustion. Apositive/negative sign in the difference column means increase/decrease;a positive/negative sign in the rest column means increase (oradvance)/decrease (or retarding) of the property. Taken from [44] ........... 12
Table III-1: Engine specifications ..................................................................................... 49
Table III-2: Engine operating parameters in Task 1 and 2 ............................................... 54
Table III-3: Engine operating parameters in Task 3 ......................................................... 55
Table III-4: Engine operating parameters in Task 4 ......................................................... 56
Table V-1: Input parameters during calculation ............................................................... 94
Table VI-1: Equivalence ratio , mean pressure P mean temperature Tand ignition delay
ID calculated for each post injection case. .............................................. 118
Table VI-2: Calculated UHC emission rate and consumed HC by combustion at latecrank angle. B20 is a fuel mixture blended with 20% v/v SME based B100and 80% v/v ultra low sulfur diesel. ......................................................... 120
Table VIII-1: Engine basic parameters used by friction model. ..................................... 155
Table C-1: Repeatability of Raman analysis for B20 soot, 30% load and 50 MPa fuelinjection pressure ...................................................................................... 239
Table D-1: Repeatability of number of primary particles and fractal dimension for B20soot, 60% load at 75 MPa fuel injection pressure .................................... 240
Table D-2: repeatability of measurement of diameter of primary particles of diesel soot,60% load at 125 MPa fuel injection pressure ........................................... 241
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Nomenclature
AZ = autoignition zone
AHR = apparent heat release
CO = carbon monoxide
PM = Particulate Matter
NOx = Nitrogen Oxides
IVC = inlet valve close
EVO = outlet valve open
LCA = late crank angle
LOL = Lift-Off Length
l1,l2= locations of artificial heat release peaks
h1, h2= height of artificial heat release peaks
w1= width of artificial Gaussian heat release peaks
l1b, l2b, h1b, h2b, w1b= location, height and width of apparent heat release at baseline
TDC = top dead center
TAN = total acid number
FAME = Fatty Acid Methyl Esters
SME = Soybean Methyl Esters
SMPS = scanning mobility particle sizer
SOI = Start of Injection
SOC = Star of Combustion
ULSD = Ultra Low Sulfur Diesel
UHC = Unburned Hydrocarbon
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mfMEP = mechanic fraction mean effective pressure
IMEPg = gross indicated mean effective pressure
ID = ignition delay
= overall equivalence raito
x = axial coordinate
r = radical coordinate
(x) = average equivalence ratio of a fuel spray at x
(A/F)st = stoichiometric air fuel ratio
= oxygen equivalence ratiox+= penetrate length scale of fuel jet
f= fuel density
a= air density
d = diameter of orifice
Ca = area-contraction coefficient
nC = nuber of carbon atoms in fuel
nH = number of hydrogen atoms in fuel
nO = number of oxygen atoms in reactants
H = lift-off length
Uf= velocity of injected fuel
Zst = stoichiometric mixture fraction of fuel
p = mean pressure
P = in-cylinder pressure
V = chamber volume
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T = in-cylinder temperature
T = mean temperature
postm = rate of the mass of post injected fuel
= engine thermal efficiency
= crank angle
= Cp/Cv, ratio of constant pressure heat capacity and constant volume heat capacity
qt= total heat added
qw= engine wall heat transfer
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Acknowledgements
I want to express my sincere gratitude to my academic advisor, Dr. Andr L.
Boehman, for his support, guidance, enthusiasm, patience and encouragement during this
study. Thanks to his excellent direction, I could explore new field of knowledge and
complete my Ph.D. study.
I would also like to express my gratitude to Dr. Daniel C. Haworth, Dr. Randy L.
Vander Wal and Dr. Yaw D. Yeboah for their valuable comments and suggestions to
improve the quality of my research and dissertation as my committee.
I also want to thank Dr. Magin Lapuerta Amigo from University of Castilla-La
Mancha, Spain and Dr. John R. Agudelo from Universidad de Antioquia, Colombia for
their generous help and instructions in the work of soot oxidative reactivity and engine
efficiency analysis.
I also want to thank Dr. Joseph M. Perez and his tribology group in the
Department of Chemical Engineering for their generous help in the lubricant analysis.
I also want to thank my group members at the Diesel Combustion and Emissions
lab for their help. In particular, I am grateful to Vince Zello, Greg Lilik and Bhaskar
Prabhakar for their help in the engine test stand, to Chenxi Sun for her help in soot TEM
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imaging, to Eduardo Barrientos for his help in TGA operating, to Dongil Kang and
Vickey Kalaskar for their general help and discussions during my research.
I also want to thank Dr. Dania A. Fonseca for her generous help in GC analysis
and Joe Stitt for the Raman spectroscopy analysis in the Material Characterization Lab.
I want to give my special thanks to my family for their support during my work.
The financial support and valuable discussions from Infineum, USA, GE
Transportation, Volvo Powertrain and Oak Ridge National Lab are heartilyacknowledged.
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1
Chapter I. Introduction
Since it was first developed in the late 19th century, the diesel engine has been
widely used in heavy duty transportation for its higher output torque and brake thermal
efficiency than gasoline engine [1]. Through the past century, although the fundamental
design of the diesel engine hasnt been significantly changed, the regulation for diesel
engine exhaust emissions, including carbon monoxide (CO), unburned hydrocarbon
(UHC), nitrogen oxides (NOx) and particulate matter (PM), are becoming increasingly
strict. Among these exhaust gases, the amount of CO and UHC from conventional engine
operating mode are much lower than NOx and PM, therefore the latter are more of
interest to regulators and researchers. Table I-1presents the current and future planned
emission regulations for both light duty and heavy duty vehicles from authorities
including environmental protection agency (EPA) and California government. Significant
difficulties can be expected for current emission control technologies. For example, the
EPA Tier 2 Bin 5 NOx regulation is likely beyond the reach of todays de-NOx
aftertreatment considering cold start, and in 2010 only 30% of current new cars in
California are able to meet the SULEV program [2]. For heavy duty transportation, very
few engines before 2010 are able to meet the US 2010 regulation [3], i.e., most on-road
engines need to be improved in emission control.
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Table I-1: Emission regulation for light and heavy duty diesel engines [3]
Light duty
(EPA Tier2)
NOx(g/mile)
PM(g/mile)
CO(g/mile)
HCHO(g/mile)
Bin 5 (2009
effective)
0.07 0.01 4.2 0.018
Bin 4 0.04 0.01 2.1 0.011Bin 3 0.03 0.01 2.1 0.011Bin 2 0.02 0.01 2.1 0.004Bin 1 0 0 0 0
Light duty(California)
SULEVprogram
0.02 0.01 1 0.004
Heavy dutyNOx(mg/kWh)
PM(mg/kWh)
CO(mg/kWh)
NMHC(mg/kWh)
US 2010 260 13 - 182
In addition to the emission regulation, current engine technologies are also facing
the challenge of sustainable development. Given that it is widely believed that the fossil
energies coal and petroleum, which have supported the past 200 years industrial
development may not be sufficient to satisfy the increased need for energy in the future,
studies on energy sustainability are more and more popular. Typically, sustainable
energy development involves three aspects: energy saving on demand side, replacement
of fossil fuel with renewable fuels and efficiency improvement in energy applications [4].
For engineering practice, the evaluations of applications of renewable fuels and
efficiency improvements are especially important, which is therefore the focus of the
present work. With respected to diesel engines, evaluation of biodiesel (primarily on the
emission impact as discussed previously) as a renewable fuel and engine thermal
efficiency improvements are investigated.
Biodiesel is a fuel which is comprised of monoalkyl esters of long chain fatty
acids derived from vegetable oils or animal fats [5], and it has been studied as an
alternative fuel to petroleum diesel for compression-ignition engines, both in neat form
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(i.e., 100% esters) or in blended form with diesel fuel [6]. Compared with petroleum
diesel fuel, biodiesel has many advantages: it is renewable and biodegradable; it has a
high flash point which improves transportation safety [7]; and it can reduce exhaust
levels of some regulated emissions including CO, UHC and PM [8-11]. However, some
disadvantages of biodiesel are limiting the growth of its usage, such as decreased
oxidative stability [12], degraded cold-flow performance compared with petroleum diesel
[7], and increased emissions of NOx [8-11, 13]. Among these, the increase of NOx
emissions has especially drawn researchers attention and attempts to explain the origin
of the biodiesel NOx effect have been made [14-18], which may contribute to potentialapproaches to biodiesel NOx reduction.
Traditionally, there are two ways for control of tailpipe NOx emissions: control of
in-cylinder combustion, and after treatment devices like NOx absorber catalysts and
selective catalytic reduction [19, 20]. The former can be affected by a variety of factors
including the physical and chemical properties of fuel, the engine control strategy (e.g.
fuel injection control), exhaust gas recirculation (EGR) ratio, and boost pressure. The
latter can be affected by the type of catalyst, exhaust gas composition and temperature of
the treatment device. The interest of this work focuses mainly on the engine in-cylinder
combustion control via fuel injection strategy, i.e., the impact of start of injection (SOI),
fuel injection pressure, fuel injection duration and multiply injections on the combustion
and, consequently, engine emissions.
Experiments conducted by previous researchers have shown that fuel injection
strategy can significantly affect engine emissions [21, 22]. For instance, it has been
shown that advancing the SOI can increase NOx emissions and decrease PM emissions
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[21, 23]. Note this observation was also claimed to contribute to the biodiesel NOx effect
in traditional mechanical (pump line nozzle type) fuel injection systems [23] given that
biodiesel has a higher bulk modulus of compressibility. Nevertheless, the modern
common-rail injection system will not be affected by the fuel compressibility [13]. Fuel
injection pressure can also significantly affect the engine emissions. Increased fuel
injection pressure can increase NOx emissions and decrease PM emissions [19, 20]. This
observation is of special interest with biodiesel fuel. Since biodiesel has a lower heating
value than petroleum diesel [24], a higher brake specific fuel consumption (increased
injection quantity per unit time) for biodiesel is observed [6], and the default enginecalibration will achieve the increased injection quantity by increasing both the injection
pressure and the injection duration. Therefore, this work also intends to investigate which
is the more significant factor for the biodiesel NOx effect: biodiesels chemical properties,
increased injection pressure or increased injection duration. Furthermore, it has been
reported by many researchers that multi-injection strategy, especially multi-injection with
post injection [a fuel injection considerable after top dead center (ATDC)], can improve
engine emissions [13, 25-30]. Therefore, a thorough investigation of the post injection
strategy is also conducted in this work.
The other aspect of sustainable energy development efficiency improvement in
energy applications (i.e., brake thermal efficiency of a diesel engine) is also an interesting
topic. Although biodiesel fueling introduces higher brake specific fuel consumption, the
brake thermal efficiency of a diesel engine operating with biodiesel has been observed to
be the same level as with diesel fuel [31]. Meanwhile, variation of fuel injection strategy,
which consequently affects combustion phasing, can be a significant factor to affect
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engine brake thermal efficiency [22]. Theoretical investigation by Hoppie et al. [32]
suggests that neither the Otto nor the Diesel cycle is optimum for realistic engines, and an
optimum rate of heat release may be attainable via hypergolic combustion. However, the
artificial heat release profiles employed by them are not suitable for practical engineering.
Hence in this work, the author applies an analysis of optimized heat release pattern,
which can be controlled by fuel properties and engine injection strategy, intending to
provide suggestions for high efficiency engine design. While it is acknowledged that
other factors such as turbo, EGR system and aftertreatment devices can also affect the
total brake thermal efficiency of a diesel engine, they are not included in the discussion ofthis work.
In summary, this work investigates the impact of biodiesel fueling and fuel
injection strategy, including start of injection, fuel injection pressure/duration and split
injection on diesel engine emissions and performance. The origins of the biodiesel NOx
effect and the change of NOx emissions by fuel injection strategy are investigated in this
work. In addition, a theoretical attempt to achieve high engine efficiency by optimizing
the apparent heat release pattern is also conducted in this work.
Objective:in this work the intention is to understand the relation between engine
emissions, biodiesel fueling and fuel injection strategy. The significance of factors
contributing to the biodiesel NOx effect is evaluated. In this work it is also intended to
understand the impact of post injection on lubricating oil dilution with biodiesel fueling,
and the impact of fuel injection pressure on diesel engine soot characteristics. The
optimized heat release pattern toward high engine thermal efficiency is also investigated.
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Hypothesis:
Main hypotheses of this work include:
Biodiesel NOx penalty can be eliminated by engine fuel injection control
The impact on NOx emission from engine fuel injection strategy control and
biodiesel fueling can be explained by the equivalence ratio at autoignition
zone near the flame lift-off length
Biodiesel fueling can introduce lubricating oil dilution with post injection
strategy
Soot from high injection pressure has higher oxidative reactivity since the
decreased soot precursor concentration can prolong the soot inception time.
Optimized heat release design is a sharp peak at top dead center
To achieve the objectives of this research plan, the study is divided into 5 tasks:
Task 1: Investigation of the impact on engine emissions of both biodiesel fueling
and injection strategy at different engine speeds and loads.
Task 2: Investigation of the origin of engine NOx emission variations from
biodiesel or injection strategy by evaluating the adapted spray model.
Task 3: Investigation of the impact of post injection on engine emissions and
lubricating oil dilution.
Task 4: Investigation of the impact of fuel injection pressure on diesel engine soot
oxidative reactivity with both diesel and biodiesel blends.
Task 5: Investigation of optimized heat release pattern to achieve high engine
thermal efficiency.
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Chapter II. Literature Review
2.1 Biodiesel background
Throughout this thesis biodiesel implies a fuel composed of glyceride-free mono-
alkyl esters of long-chain fatty acids converted from triglycerides such as biologically-
based fats and oils [33-35]. In fact, attempts to use biologically derived hydrocarbons
(not only biodiesel) in internal combustion engines have been conducted for more than a
century. For instance, in 1900 when Dr. Diesel exhibited his great invention the Diesel
engine at the Paris World Exposition for the first time, the engine was running on 100%
peanut oil [33, 34]. From the 1920s to the 1940s numerous applications of vegetable oils
as diesel engine fuels were reported simply based on the theme of providing tropical
colonies of European countries with an independent source of fuel [36]. The more
appropriate form of biologically-derived fuel (ethyl esters of palm oil), which meets the
present definition of biodiesel, was initially included in a Belgian patent issued to
Chavanne as early as 1937 [37]. However, the petroleum derived diesel fuel immediately
became the primary fuel for diesel engines, and the concept of biologically-derived fuel
hadnt drawn peoples attention until the 1970s due to the energy crises. Since then
vegetable oil-based fuels have been reconsidered among the alternative energy sources.
In addition, the feedstocks for biodiesel have also been expanded to a variety of vegetable
oils including soybean, rapeseed, sunflower, etc., which also creates a variation in both
physical and chemical properties of biodiesel [34].
The production of biodiesel mainly follows the transesterification process, which
can crack the large molecules (triglyceride) of vegetable oils/fats and transform them to
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fatty acid methyl esters (FAME) with similar molecular weight as diesel fuel. Figure II-1
presents a traditional transesterification process for biodiesel production. This reaction
requires methanol as a reactant and alkali or acid as catalyst, and the by-product of the
reaction is glycerol. Demirbas [35] proposes that the same reaction can also be promoted
with supercritical methanol, with which no catalysts are needed, and consequently
purification of the final product can also be simplified.
Figure II-1: A diagram representing the transesterification process, replicated from[6]. The general scheme of the process is to modify a triglyceride (a fat or oil whichis a glyceride with three fatty acids, represented as R1, R2 andR3) into a fatty acidmethyl ester.
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With different structures (length, saturation) in the fatty acid, the physical and
chemical properties of FAME may vary. Table II-1presents the chemical structure of
common fatty acids.
Table II-1: Chemical structure of common fatty acids, taken from [38]
Fatty acid Systematic name Structure* FormulaLauric Dodecanoic 12:0 C12H24O2Myristic Tetradecanoic 14:0 C14H28O2Palmitic Hexadecanoic 16:0 C16H32O2Stearic Octadecanoic 18:0 C18H36O2Arachidic Eicosanoic 20:0 C20H40O2Behenic Docosanoic 22:0 C22H44O2
Palmitoleic
cis-9-Hexadecenoic
Acid
16:1 C16H30O2
Oleic cis-9-Octadecenoic 18:1 C18H34O2
Linoleiccis-9,cis-12-Octadecadienoic
18:2 C18H32O2
Linoleniccis-9,cis-12,cis-15-Octadecatrienoic
18:3 C18H30O2
- cis-11-Eicosenoic 20:1 C20H38O2*xx:yindicatesxxcarbons in the fatty acid chain withydouble bounds
Although these FAMEs are found in biodiesel, the chemical composition of
biodiesel is different if the biodiesel is derived from different feedstock, as shown in
Table II-2. It can be seen that generally C16:0, C18:0, C18:1 and C18:2 are the major
FAMEs species in biodiesel. In the United States, the primary feedstock for biodiesel is
soybean oil [12], which predominantly contains unsaturated FAME C18:1, C18:2 and
C18:3, as well as, a small amount of saturated FAME C16:0 and C18:0. The difference
in physical and chemical properties of FAME can also be significant, as shown in Table
II-3. Saturated FAME with a long chain always leads to higher melting point and
kinematic viscosity, which is expected. However, the degree of saturation can
significantly affect certain properties including melting point, oil stability index and
cetane number.
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Table II-2: Chemical composition of biodiesel derived from different feedstock, tak
feedstockFatty acid composition (%)
14:0 16:0 18:0 20:0 22:0 16:1 18:1 18:2
Canola oil 0 4 2 0 0 0 61 22
Palm oil 1 45 4 0 0 0 39 11
Soybean oil 0 11 4 0 0 0 23 54
Sunflower oil 0 6 5 0 1 0 29 58
Corn oil 0 11 2 0 0 0 28 58
Cottonseed oil 1 23 2 0 0 1 17 56
Chicken fat 1 25 6 0 0 8 41 18
Beef tallow 4 26 20 0 0 4 28 3
Table II-3: Physical and chemical properties of common fatty acid methyl esters (FAME
FAMEMelting pointa
(C)
Heat value
(MJ/kg)
Kinematic
viscositybat 40 C
(mm2/s)
Oil stability indexc
(h), at 110 CCetane N
C14:0 19 39.45 3.3 >40 -
C16:0 31 39.45 4.38 >40 86
C16:1 34 39.3 3.67 2.1 51
C18:0 39 40.07 5.85 >40 101
C18:1 20 40.09 4.51 2.5 59
C18:2 35 39.7 3.65 1 38
C18:3 52 39.34 3.14 0.2 23
a: Ref. [7, 40]; b: Ref. [41]; c: Ref. [7]; d: Ref. [7]; e: Ref. [42]
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Although cetane numbers of the C18:2 and C18:3 FAMEs are relatively low, as a
mixture, biodiesel is often observed to have a higher cetane number than petroleum diesel
[39], which improves its performance in diesel engines. High unsaturation can improve
the cold weather performance, but also significantly decrease the oxidation stability.
Chemical properties of a fuel (e.g., hydrocarbon structure, aromatic content,
cetane number) dominate the fuels effect on combustion and pollutant formation [43].
Physical properties (e.g., viscosity, density) generally affect injection timing, fuel
atomization and fuel evaporation, which eventually have indirect effects on combustion
and emission formation. In other words, diesel engine may have a different responsewhen biodiesel is used. Table II-4presents a summary by Sun et al. [44] on the impact of
soy methyl ester (SME) based biodiesel and its blend with petroleum diesel on physical
and chemical properties and engine response. This summary also reveals the difficulty in
biodiesel research that multi-parameters can change simultaneously with biodiesel
fueling, so that the understanding of each parameters impact is not straightforward. For
instance, the lower heating value of biodiesel can lead to an increase injection pressure
and duration by the default engine calibration, which may also have impact on engine
emissions [21, 22]. This issue will also be addressed in this work.
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Table II-4: The effects of property differences between soy methyl ester biodiesel or its blend andparameters and fuel combustion. A positive/negative sign in the difference column mean
positive/negative sign in the rest column means increase (or advance)/decrease (or retarding) of thDifference Injection
timing
Injection
pressure
Fuel spray
penetration
Fuel spray
angle
Fuel spray
atomization
Igniti
delayPhysical Properties
Liquid densitya + + + - - +
Bulk modulus of
compressibilityb
+ + + +
Speed of sound + + + +
Liquid viscositya + + - - +
Surface tensiona + + + -
Vapor pressurea - - - +
Volatilityc - -
Liquid specific
heata
- + -
Vapor specific
heata
- + -
Heat of
vaporizationa
+ -
Chemical Properties
Chain length + -
Oxygen contentc + + -
Aromatics contente - +
Sulfur content -
Saturation (iodinevalue)d - +
Cetane numberg + -
Heating valuec -
a: Ref [45]; b:Ref. [23, 46]; c: Ref. [47]; d: Ref.[48]; e: Ref. [49]; f: Ref.[15]; g: Ref. [50]
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at the same time, the sustainability concept of biodiesel has also been criticized
since the methanol needed for biodiesel production majorly comes from petroleum [35].
Nevertheless, approximately 95% of the carbon in biodiesel are derived from renewable
sources such as oil and fat [33]. Hence, it is still of interest to investigate the impact of
biodiesel on engine emissions and performance to approach the future of sustainable
energy.
2.2
Impact of biodiesel fueling on engine emissions
The review by Graboski and McCormick in 1998 [6] and a more recent review by
Lapuerta et al. in 2008 [15] show consistently that the majority of diesel engine tests with
biodiesel fueling show reductions of exhaust levels of some regulated emissions
including unburned hydrocarbons (UHC), carbon monoxide (CO), and particulate matter
(PM), but increases of emissions of nitric oxides (NOx). For example, Figure II-2shows
the statistical analysis of trends of the impact of biodiesel blending on emissions from
heavy-duty engines, conducted by the Environmental Protection Agency (EPA) [51].
However, despite the statistical analysis by the EPA, the impact of biodiesel on engine
emissions as observed in Figure II-2may be limited to certain engine conditions: in this
case it is a heavy-duty truck engine on highway. The understanding of biodiesels impact
on diesel engine emissions requires a thorough investigation of previous engine studies.
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Figure II-2: NOx, PM, CO and HC % changes as biodiesel blending percentageincrease as determined by the EPA through statistical regression of publicallyavailable data on highway heavy-duty truck engines [18, 51]. Taken from [44]
In addition, as discussed in the introduction, since NOx and PM emissions from
current technology diesel engines are close to the limits permitted by regulation and both
limits will be even more stringent in the near future, these two emissions will be critical
factors in the development of new diesel engines and aftertreatment systems. For the
other regulated emissions, CO and UHC, no further development in engine technology
seems to be necessary to meet future limits [15].
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2.2.1 Nitric oxides (NOx)
In their comprehensive review, Lapuerta et al. [15] states that a majority of the
literature report an increase of NOx emissions with biodiesel use and a minority of other
observations. In this sense, they divide the impact of biodiesel fueling on NOx emissions
into 4 groups:
Group I: Increase.
Group II: Increase only in certain operating conditions
Group III: No significant difference
Group IV: Decrease with biodiesel fueling
Similar categorization is also adapted in another review by Sun et al. [44], except
that they claim that the majority of the literature they reviewed reported inconsistent
trends in the effect on NOx emissions from the use of biodiesel, in other words,
considering the distribution of engine configurations and operating conditions, it is
difficult to arrive at a deterministic conclusion on the impact of biodiesel fueling on NOx
emissions. Nevertheless, observations associated with engine configurations and
operating conditions are still meaningful for biodiesel research.
Group I: In Graboski and McCormicks review [6] of ten older two-stroke engines
running with biodiesel derived from soy and rapeseed, all engines running with rapeseed-
oil biodiesel show a consistent increase in NOx emissions, and two third of the engines
running with soybean-oil biodiesel show a consistent increase in NOx emissions. The
remaining one third engines running with soybean-oil biodiesel showed both increases
and decreases in NOx emissions depending on the operating conditions, which should be
categorized into Group II. FEV Engine Technology [52] carried out an experimental
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study in a 7.31L Navistar engine running the 13-mode US Heavy-Duty test cycle using
different soybean blends and observed a maximum of 8% increase in NOx emissions
with B100. Marshall et al. [53] tested a Cummins L10E engine under steady conditions
with different biodiesel blends, and a maximum of 16% increase in NOx emissions was
observed with B100. However, in their transient test condition B20 blend gave a higher
increase in NOx emissions than B30. Szybist et al. [14] tested a Yanmar L70 EE air-
cooled, four-stroke, single cylinder direction injection diesel engine operating at steady
3600 rpm and 75% load and reported around 10% increase in NOx emissions with pure
soybean-oil biodiesel. Other experiments have reported increased NOx emissions withbiodiesel fueling [18, 54, 55].
Group II: Some authors claimed that the effect of biodiesel on NOx emissions
depends on the type of engine and its operating conditions. Serdari et al. [56] tested on-
road emissions from three different vehicles using high sulfur diesel fuel (1800ppm) and
10% sunflower-oil biodiesel blends. They found both increases and decreases in NOx
emissions, and attributed such differences to the different engine technology and
maintenance conditions. Hamasaki et al. [57] tested a single-cylinder engine at 2000 rpm
and different loads with three waste-oil biodiesel fuels. They measured slight decreases in
NOx emissions at low loads but increases at high loads. Similar observations have also
been reported by Zhang and Boehman [13]. They conducted an experiment in a
DDC/VM Motori 2.5L, 4-cylinder, turbocharged, common rail, direct injection light-duty
diesel engine and found that NOx increases with biodiesel fuel were only observable at
high engine load. At low engine load, no significant difference in NOx emissions can be
observed between the baseline diesel, B20 and B40. Yehliu et al. [25] conducted
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experiments in the same engine with a thorough investigation of different load and speed
conditions, and found that at high speed and low load, biodiesel fueling decreased NOx
emissions. Staat and Gateau [58] tested a 6-cylinder engine following the ECE R49 test
cycle and an urban transient cycle named AQA F21 established by the French Agency of
Air Quality. They observed a 9.5% increase in NOx emissions in the ECE R49 cycle, yet
a 6.5% reduction in the transient urban cycle. The above observations appear to be
consistent with the review by Tat [59], that NOx emissions with biodiesel fuels are
usually higher than those from diesel fuel when they are measured in an engine test bench
but not when they are measured from vehicles. Tat [59] attributed this observation to thereason that engine loads are usually lower in vehicles than those imposed in experimental
test rigs. Similar observations have also been reported by McCormick [60, 61] who
measured NOx emission reductions of around 5% when using 20% soybean-oil biodiesel
blends.
Attempts have been made to explain these conditional biodiesel NOx effects. Li
and Gulder [62] claimed that the higher cetane number of biodiesel has a more sensible
effect on NOx emission at low load than at high load. However, this understanding may
no longer work when high-cetane ultra low sulfur diesel (ULSD) fuel is used instead of
the conventional low sulfur diesel fuel, i.e., blending of biodiesel with ULSD may not
significantly change the cetane number of fuel. Tat [59] proposed another explanation:
the injection pump tended to advance the injection timing at low load, but he observed
that this advance was higher with diesel than with biodiesel fuel in a certain load range,
leading to increased NOx emissions with diesel fuel at these load condition. This
explanation, however, is not applicable for diesel engines with a common-rail injection
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system, whose start of injection is well controlled and consistent for both petroleum
diesel and biodiesel, as in [13, 25, 63]. Although the same authors attributed the NOx
reduction with biodiesel to the specific engine configuration, it might arise from the
decreased apparent heat release from premixed combustion with biodiesel [63], due to its
lower energy content and a shortened ignition delay.
Group III: Durbin et al. [64] tested four different engines with diesel, pure
biodiesel and a 20% biodiesel blend. The engines were chosen to represent a wide variety
of heavy-duty engines: turbocharged and naturally aspirated, direction and indirect
injection, and no significant differences in NOx emissions were found. Mandpe et al. [65]tested a Euro III emission certified common-rail diesel engine on road with Jatropha
Curcas seed oil biodiesel and found no significant difference in NOx emissions between
biodiesel and petroleum diesel. Nabi et al. [66] conducted an experiment with a single-
cylinder 9.8 kW engine at steady-state with neem-oil biodiesel at different EGR ratios.
Although they observed decreased NOx emissions with increased EGR ratio, they found
no significant differences in NOx emissions between diesel and biodiesel. As suggested
by Lapuerta et al.[15], the observation by Nabi et al. [66] may be actually due to the low
unsaturation level of neem oil, since Graboski et al. [67] have shown that NOx emissions
increased with unsaturation.
Group IV: A minor number of papers have reported decreases in NOx emissions
when using biodiesel fuels. Armas et al. [63] conducted an experiment in a DDC/VM
Motori 2.5L, 4-cylinder, turbocharged, common rail, direct injection light-duty diesel
engine at high speed and low load, with different start of injection. For each start of
injection they also fine-tuned the ECU to match the combustion phasing between
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biodiesel blends and baseline diesel. They found slight NOx reduction with biodiesel
consistently for all start of injection timings. Lapuerta et al. [68] tested pure and blended
biodiesel from sunflower and cardoon oils in an indirection injection 1.9L engine
operating at five selected steady modes, and they observed a slight decrease in NOx
emissions with biodiesel.
Overall, although no unanimity has been found, the majority of observations in
the literature show a slight increase in NOx emissions with biodiesel fueling. Under
certain conditions, no significant difference or decreased NOx emissions were observed
with biodiesel, which was likely due to specific engine configuration or fuel composition,which suggests that such results are not generally representative.
2.2.2 Particulate Matter (PM)
It has been consistently reported in the literature that a noticeable decrease in
diesel PM emissions can be observed with biodiesel fueling [6, 8, 9, 11, 58, 69-72]. The
Environmental Protection Agency collected a number of engine emissions data with
biodiesel [51] and proposed a statistical correlation between PM emissions level and
biodiesel blending:
0.006384 %B
D
PMe
PM
= (1)
whereD
PM
PMindicates the PM emission ratio between biodiesel and diesel, and %B is the
biodiesel blending level in percentage. The shape of Equation (1) can be also seen in
Figure II-2.
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This trend proposed by EPA suggests that the maximum PM emission reduction is
around 50% with pure biodiesel. This observation is consistent with several other
investigations [54, 69, 73-75]. Other authors found even higher PM emission reductions
with biodiesel. Van Gerpen and Canakci [76] observed as high as 65% reductions of PM
emissions with soybean oil and waste oil based biodiesel fuels. Schumacher et al. [77]
tested PM emissions from a DDC series 60 diesel engine and reported more than 60%
PM emission reduction with biodiesel.
The reductions in PM emissions have been shown in general, as being more
effective with lower biodiesel concentrations in the blends [15]. In other words, thereduction of PM emissions for each percentage of biodiesel blending, i.e., relative
reduction, has been observed to be the highest for partial blends [78-81].
The effects of biodiesel on PM emissions together with other parameters, such as
engine configurations and load conditions have also been investigated. In the review by
Krahl [82] on diesel engine tests with rapseed-oil biodiesel, the authors found that the PM
emission reductions were lower ( or there were no significant reductions) in heavy-duty
engines than in light-duty engines. Lapuerta et al. [79] investigated the PM emissions of a
typical European passenger car diesel engine operating at low-middle load conditions
and found that the PM emission reduction with biodiesel is larger at low load. Contrary
observations have also been reported [83]. Leung et al. [84] tested a single-cylinder
engine with a diesel fuel and a pure rapeseed oil based biodiesel at different load
conditions. They found larger decreases for biodiesel at high load. In addition, the
property of diesel fuel can also affect the NOx reduction by biodiesel. Boehman et al. [75]
reported a PM emission of 20% blending soybean oil based biodiesel with both low
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sulfur diesel (325 ppm sulfur) and ultra low sulfur diesel (15 ppm sulfur) and found that
the reduction of PM emissions by biodiesel is more significant for low sulfur diesel.
Similar observations have also been reported [51].
A small number of studies did not find significant reductions (or even found
slightly increases) in PM emissions. Armas et al. [63] found increased PM emissions in
their experiment with a DDC/VM Motori 2.5L, 4-cylinder, turbocharged, common rail,
direct injection light-duty diesel engine at high speed and low load. Boehman et al. [75]
found a slight increase of PM emission for soybean oil based biodiesel blending with
ultra low sulfur diesel. Similar observations that PM emissions were increased withbiodiesel have also been reported in other places [74, 85]. This phenomenon has been
generally attributed to the higher soluble organic fraction (SOF) of the particulate [63,
75], which is widely accepted to be increased when using biodiesel [6, 67, 69, 74, 77] due
to its lower volatility of the unburned hydrocarbons (Table II-4). Meanwhile, the
insoluble fraction (ISF) was decreased with biodiesel fueling [75].
In summary, it is widely accepted that biodiesel fueling can decrease the PM
emissions of diesel engine. Therefore, it has been suggested that this impact of biodiesel
on PM emissions may be combined with engine injection strategy to optimize the NOx-
PM emission trade-off [15].
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2.3 Origin of biodiesel emission effect
2.3.1 Biodiesel NOx effect
NOx formation chemistry:
To identify the factors that can affect NOx emissions, it is necessary to understand
the mechanism of NOx formation. Although a large number of reactants and reaction
pathways have been found to participate during NOx formation [86, 87], the key
reactions at the pressure, temperature and time scales in a diesel engine consist of three
major reactions [86], referred as to the extended Zeldovich mechanism:
1
2
3
2
2
k
k
k
N O NO N
O N NO O
OH N NO H
+ +
+ +
+ +
(2)
Typically the time scales in a diesel engine do not allow these reactions to reach
equilibrium. Therefore, longer residence time of in-cylinder gases at high temperature
(above 1800K since the thermal NO formation below 1800K is generally negligible [87])
can lead to higher NOx emissions. A simple second order kinetic expression can be used
to describe the NO formation when its concentration is below equilibrium:
1 2 2 2 3
[ ][ ][ ] [ ][ ] [ ][ ]
d NOk O N k O N k OH N
dt= + + (3)
where [NO], [O], [N2] and [OH] are the molar concentrations of NO, O, N2 and OH,
respectively. The rate constant k can be generally expressed as [88]:
exp( ), 1,2,3i aii iu
Ek BT i
R T
= = (4)
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where Bi, i, Ruand Eaiare constants for each ki. Equations 2 and 3 suggest that the key
parameters that control the NOx formation include: 1) concentration of O-atom, N2, N-
atom and OH, 2) in-cylinder temperature, or 3) the residence time of the in-cylinder
mixture at high temperatures. Hence, any variation in NOx emissions must be related to
one or more of the above factors.
Biodiesel NOx effect:
To date, a significant number of studies have been conducted in the attempt to
explain the NOx variation and to identify the key parameters that affect it when
alternative fuels (e.g., biodiesel) are used, both from experiments [14, 15] and numerical
simulation [16, 17, 89]. Literature reviews by Mueller et al. [18], Lapuerta et al. [15] and
Sun et al. [44] have discussed the various proposed hypotheses that may account for
engine NOx variation with biodiesel fueling, which can be summarized into seven
categories:
(1) Injection timing. Alternative fuels have different compressibility than
petroleum diesel. For example, biodiesel has higher bulk modulus of
compressibility while FT diesel has lower bulk modulus of compressibility [23].
A higher bulk modulus can lead to a faster traveling of the pressure wave in the
fuel line of pump-line-nozzle fuel injection systems, causing an advance in the
start of injection (SOI) that can consequently lead to a longer residence time
and/or higher in-cylinder temperature. The advanced SOI of biodiesel and
retarded SOI of FT diesel have been observed to affect the NOx emissions [23, 90,
91]. Although this factor has been considered as the most solid argument for the
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biodiesel NOx effect [15], the injection timing of a modern common-rail injection
system is not affected by the bulk modulus of compressibility of the fuel [13].
(2) Injection pressure and fuel spray. The lower heating value of biodiesel
results in an increase in the brake specific fuel consumption, which will be treated
as an increase of the fuel injection pressure/duration according to default engine
calibration [55]. This change in fuel injection parameters can yield an increase in
NOx emissions [21, 22]. Furthermore, the change of fuel properties, e.g. viscosity,
density and surface tension when biodiesel is used can increase the average
droplet diameter [92], leading to a lengthened ignition delay as well as a possiblylonger diffusion combustion period [6].
(3) Combustion phasing. That biodiesel can increase NOx emissions also can
be due to its impact on combustion phasing. The higher cetane number of
biodiesel can advance the start of combustion (SOC), which may lead to longer
residence time at high temperature for the combustion products [18]. However, as
discussed previously for FT diesel, some authors also claim that the NOx
reduction is due to its higher CN [25, 63, 91, 93] since very high CN indicates
short ignition delay, leading to less premixed burning [94, 95]. This inconsistency,
that both biodiesel and FT diesel have increased CN, leads to different direction in
change of NOx emissions, suggests that the impact of high cetane number on
NOx emissions is a combination of two effects.
(4) Premixed-burn fraction. The fact that biodiesel contains oxygen increases
the premixing quality (since fewer oxidizer molecules are required to reach
stoichiometric proportion) during the ignition delay, resulting in better
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combustion and higher temperature. The oxygen content in biodiesel also
increases the local oxygen concentration, which can promote NOx formation as
discussed previously. Song et al. [96, 97] tested oxygenated diesel fuel (via
oxygenated fuel additives) and found increases in NOx emissions. However, this
explanation is questioned by other authors [68, 69, 89]. In addition, this
explanation is not suitable for FT diesel since it does not contain oxygen in the
fuel.
(5) Kinetics. Different chemical kinetic pathways for NOx formation exist for
different fuels. For example, it is argued that an increased level of CH exists at theautoignition zone (AZ) during biodiesel combustion [98], which leads to the
production of N-atoms in the jet core as well as the promotion of NOx formation.
(6) Adiabatic flame temperature. Some authors claimed that biodiesel has a
slightly higher adiabatic flame temperature than conventional diesel, so thermal
NOx production is higher [16, 69, 99]. Although the decreased NOx emissions for
FT diesel appears to be consistent to this theory: FT fuel has a lower adiabatic
flame temperature [100], due to its lower C/H ratio [101], than the petroleum
diesel fuel. No unanimity can be found for the biodiesel since others state that the
adiabatic flame temperature is higher for diesel fuel [44, 66, 102].
(7) Radiation heat transfer. Soot radiation is the primary means of heat loss
from an in-cylinder flame. It has been suggested that since biodiesel can decrease
the PM emissions, the actual flame temperature is higher, leading to an increase
of NOx formation [103]. However, it has been suggested that soot emissions may
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not correlate with flame luminosity and the soot radiation appears to be smaller
than other effects [18].
Mueller et al. [18] also pointed out that the biodiesel NOx increase is related to a
number of coupled mechanisms, which also have influences on each other, rather than a
single phenomenon. Note that many of those mechanisms are affected by both fuel
properties and engine operating conditions. For example, the premixed-burn quality can
be affected by the droplet size, which is controlled not only by the injection strategy and
fluid surface tension [1], but also by the difference in the rate of mass transfer during the
injection of the multi-component fuel [104]. Among those mechanisms, Mueller et al. [18]suggest that the most important ones responsible for the biodiesel NOx increase are
longer residence time and higher in-cylinder temperature from either advances in
combustion phasing or lower radiative heat loss. They proposed, based on the models
established by Siebers and Naber [105, 106], that the origin of the NOx increase with
biodiesel is based on reacting mixtures that are closer to stoichiometric (less rich) for
biodiesel-containing fuels: a) during ignition (i.e., during the premixed volumetric
autoignition event from the start of combustion to the end of premixed burning), and b) in
the standing premixed autoignition zone (AZ) near the flame lift-off length (LOL) at
higher loads. According to Mueller et al. [18], this is so far the most generalized
explanation which is consistent with the observations from biodiesel, high cetane number
diesel and engine load conditions. In additional to their heavy-duty single-cylinder engine
test, in this work this theory will be tested with a light-duty diesel engine for the impact
of both biodiesel and engine fuel injection strategy.
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2.3.2 Biodiesel particulate matter effect
As discussed previously, it is widely accepted that biodiesel can decrease the PM
emissions. It is also believed that the factors contributing to the PM emission reductions
include:
Oxygen content in biodiesel: the oxygen content of the biodiesel molecule,
which can promote complete combustion even in regions of fuel-rich diffusion
flames, has been believed to contribute to the PM emission reduction with
biodiesel [107]. Song et al. [96, 97] tested oxygenated diesel fuel (via oxygenated
fuel additives) in a VW turbocharged direct injection diesel engine, and found
decreased PM emissions with increased oxygen content of fuel for both engines.
Similar observation has also been reported by Frijters and Baert [108]. Sison et al.
[109] tested different oxygenates, including biodiesel, with diesel fuel in a single-
cylinder optically accessible diesel engine and observed decreased soot formation.
The kinetic model developed by Flynn et al. [110] based on the conceptual model
of Dec [111] suggested that a sharp decrease in the formation of soot precursors
would be observed when the oxygen content in the fuel increased: as the oxygen
content of the fuel increased, larger fractions of the fuel carbon were converted to
CO in the rich premixed region, rather than to soot precursors.
Absence of aromatics in biodiesel: The aromatic content in petroleum
diesel fuel has been considered to serve as soot precursors [69, 71, 112, 113]. This
can be investigated in two ways: 1) decrease the aromatic content in petroleum
diesel, (Schmidt and Van Gerpen [113] artificially blended diesel fuel with
octadecane (C18H38) and observed a significant reduction in PM emissions.); 2)
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increase the aromatic content in biodiesel. Mueller et al. [18] doped the pure
biodiesel with phenanthrene, a 3-ring aromatic species, and compared the
emissions at both decreased oxygen environment and normal air environment
with a heavy-duty single-cylinder optically accessible diesel engine. They found
increased PM emissions for all load conditions for the doped biodiesel in a
decreased oxygen environment. With a normal air environment, the doped
biodiesel has an increased PM emission only at low-moderate load condition.
Other authors have treated both the oxygen content and absence of aromatics in
the biodiesel to the PM emission reductions [114, 115].
Higher oxidative reactivity of biodiesel soot: Boehman et al. [75] collected
the particulate matter from the exhaust of a six-cylinder Cummins ISB 5.9L direct
injection turbocharged diesel engine, with both diesel fuel and a 20% blend
soybean oil based biodiesel, and then they employed thermogravimetry to analyze
the oxidative reactivity of the soot particles (de-volatized particulate matter).
They found that the soot particles for B20 are more reactive than for diesel fuel,
which suggests that the particulate matter will be more rapidly consumed by the
oxidation in the exhaust, leading to decreased PM emissions. Song et al. [116]
expanded this observation to pure biodiesel and used high resolution transmission
electronic microscopy (TEM) technique to confirm the faster oxidation of the soot
for pure biodiesel. Yehliu et al. [117] applied a counting algorithm to identify the
initial nanostructure of soot particles from high resolution TEM images, and they
found more short and curvy graphene layers in soot from biodiesel combustion,
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i.e., it has a higher oxidative reactivity due to its higher degree of disorder [118-
120].
There have been other explanations proposed for the biodiesel PM effect, as well.
For instance, biodiesel can introduce an advance of combustion either due to advanced
injection timing [90] or higher cetane number [102] can prolong the residence time of
soot particles in a high-temperature atmosphere, which in the presence of oxygen
promotes further oxidation [72, 112]. Others also claimed that the usually lower final
boiling point of biodiesel provided lower probability of soot or tar being formed from
heavy hydrocarbon fractions unable to vaporize [69]. High sulfur content of diesel fuelhas also been suggested as a reason for its high PM emissions [121]. Nevertheless, these
explanations have been believed to be insignificant [108, 115, 122], as well as not
applicable since new fuel standards came into effect.
2.4
Fuel Injection strategy with biodiesel fueling
Fuel injection strategy is an important aspect in the optimization of diesel engine
missions. For instance, in earlier discussion the significant impact of injection timing and
injection pressure on engine NOx emissions has been shown. Some studies have
attempted to optimize diesel engine combustion with biodiesel fuel by adjusting the
injection strategy to improve exhaust emissions [123, 124]. Generally speaking, for
conventional diesel combustion, the control of fuel injection strategy includes three
aspects 1) injection timing (or start of injection); 2) injection pressure or injection
duration; 3) number of fuel injection. Among those, although the advance of injection
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timing with biodiesel fueling was a concern for earlier engine research, it is now believed
as an insignificant factor for modern engines with common-rail fuel injection systems
[13]. The application of common-rail fuel injection systems also provides availability of
multiple fuel injection design, which has become a fuel injection strategy. A large
number of researchers have found that multiple fuel injections can reduce engine NOx
emissions [125-129]. However, some authors observed increased hydrocarbon emissions
and slight decreased engine thermal efficiency with multiple fuel injections [25]. In
addition, the complex combustion behavior of multiple fuel injections is not suitable for
fundamental engine combustion study, and therefore it is not a main focus in the fuelinjection strategy investigated here. Nevertheless, multiple fuel injections with post
injection, which is a fuel injection event considerably after top dead center (TDC) will be
investigated in this work and discussed in a later section.
Meanwhile,