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Deakin Research Online,

Deakin University’s Research Repository Deakin University CRICOS Provider Code: 00113B

The effect of triacetin as a fuel additive to waste cooking biodiesel on engine

performance and exhaust emissions

Citation of final article:

Zare, Ali, Nabi, Md Nurun, Bodisco, Timothy A., Hossain, Farhad M., Rahman, M. M., Ristovski, Zoran D. and Brown, Richard J. 2016, The effect of triacetin as a fuel additive to waste cooking biodiesel on engine performance and exhaust emissions, Fuel, vol. 182, pp. 640-649.

This is the accepted manuscript.

© 2016, Elsevier

This peer reviewed accepted manuscript is made available under a Creative Commons Attribution Non-Commercial No-Derivatives 4.0 Licence.

The final version of this article, as published in volume 182 of Fuel, is available online from: http://www.dx.doi.org/10.1016/j.fuel.2016.06.039

Downloaded from DRO:

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The effect of triacetin as a fuel additive to waste cooking biodiesel on engine performance and exhaust emissions

Ali Zarea,*,Md Nurun Nabia,b, Timothy A. Bodiscoc,FarhadM. Hossaina , M.M. Rahmanb, Zoran D. Ristovskia, b, Richard J. Browna

a Biofuel Engine Research Facility, Queensland University of Technology (QUT), QLD, 4000 Australia b International Laboratory for Air Quality and Health, Queensland University of Technology (QUT), QLD, 4000 Australia

c School of Engineering, Deakin University, Waurn Ponds, Victoria, 3217, Australia Abstract

This study investigates the effect of oxygenated fuels on engine performance and exhaust emission under a custom cycle using a fully instrumented 6-cylinder turbocharged diesel engine with a common rail injection system. A range of oxygenated fuels based on waste cooking biodiesel with triacetin as an oxygenated additive were studied. The oxygen ratio was used instead of the equivalence ratio, or air to fuel ratio, to better explain the phenomena observed during combustion. It was found that the increased oxygen ratio was associated with an increase in the friction mean effective pressure, brake specific fuel consumption, CO, HC and PN. On the other hand, mechanical efficiency, brake thermal efficiency, CO2, NOx and PM decreased with oxygen ratio. Increasing the oxygen content of the fuel was associated with a decrease in indicated power, brake power, indicated mean effective pressure, brake mean effective pressure, friction power, blow-by, CO2, CO (at higher loads), HC, PM and PN. On the other hand, the brake specific fuel consumption, brake thermal efficiency and NOx increased by using the oxygenated fuels. Also, by increasing the oxygen content, the accumulation mode count median diameter moved toward the smaller particle sizes. In addition to the oxygen content of fuel, the other physical and chemical properties of the fuels were used to interpret the behavior of the engine.

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2 1. Introduction

High fuel prices, global warming, environmental degradation and adverse health effects of fossil

fuels have been a topic for a significant amount of recent engine research in the last decade [1].

The European Union issued a directive to offset fossil fuel usage with renewable biofuels by 10%

by 2020 (EU Directive 2009/28/EC). Fuel specific solutions to this issue range from finding new

sources of fuel or adding additives to fossil fuels.

Recently several types of biofuel have been introduced by researchers and industry. Waste cooking

oil has received attention due to its low price, close properties to diesel and global availability [2].

Disposal issues including dumping waste cooking oil into waterways could be another reason to

use it as a fuel [3]. The current literature shows some advantages and disadvantages for the use of

waste cooking biodiesel [4]. A study reported that using waste olive oil decreased CO up to 58.9%

and CO2 by up to 8.6%; however, NO2 and BSFC (brake specific fuel consumption) increased [5].

Similarly, another study also reported an increase in NOx, with a subsequent decrease in PM [4].

The oxygen-bond in biofuels is a significant factor that makes them different from conventional

petro-diesel. Most biofuels, such as those from animal fats, vegetable oils and waste cooking oil,

contain long-chain alkyl esters which have two oxygen atoms per molecule. However, the fuel

oxygen content is derived from the fatty acid ester profile such as unsaturation level and carbon

chain length [6].

In terms of emission reduction, the oxygen content of the fuel has been reported to be a major

factor compared to the other properties [7-9]. In this regard, a low volume of fuel additives with

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As a highly oxygenated additive to fuel, triacetin [C9H14O6] (a triester of glycerol acetic acid)

could be used in combustion process [10]. Glycerol is a byproduct of the biodiesel

transesterification process and is therefore readily available, especially given that the production

of waste glycerol will increase proportionally by increasing the production of biofuels. Utilisation

of this cost-effective feedstock as a fuel is possible, however, the physical and chemical properties

of direct glycerol have limited its usage for this purpose [11]. Accordingly, triacetin as the product

of acetylation process of glycerol and acetic acid could be used instead.

A thorough search could not identify any publication in the literature investigating the effect of

triacetin as a fuel additive with waste cooking biodiesel. However, a recent study showed that

blending triacetin with biofuels increased the oxygen content, density and kinematic viscosity;

however the cetane number and heating value of the blend reduced [10].

This paper intends to study engine performance and exhaust emission using a range of fuels with

0 to 14.23% oxygen content, based on waste cooking biodiesel as the primary fuel and triacetin as

a highly oxygenated additive.

2. Experimental facilities

2.1 Engine specification

In this experimental study a 6-cylinder turbocharged aftercooled diesel engine with a common rail

injection system was used. An electronically controlled water brake dynamometer was coupled

with this engine to control the steady-state and transient load on the engine. Regarding the

indicated parameters, a piezoelectric transducer (Kistler 6053CC60) with a simultaneous

analog-to-digital converter (Data Translation DT9832) were utilised to collect the in-cylinder data, crank

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addition, a blow-by sensor was utilised to measure the exhaust flow from the engine crankcase.

For more specific information about the engine and experimental facilities readers can refer to

Ref.[12]. Table 1 shows the test engine specification.

2.2 Exhaust sampling and test setup

Exhaust emissions were sampled from the exhaust manifold via a 0.5 meter long stainless steel

tube. Apart from a fraction which was sent to the gas analysers via a copper tube fitted with a

HEPA filter, the rest passed through the dilution tunnel and then to the particle measuring systems.

Figure 1 shows the schematic diagram of the test setup.

Table 1 Test engine specification

2.3 Fuel selection

Table 1 shows the set of fuels used in this study. Except neat diesel (D100) and D60B35T5, the

blends were made based on the waste cooking biodiesel (B) as the primary fuel and triacetin (T)

as an additive. The first row of this table shows the 6 different fuels used in this study classified

by the portion of each fuel in the final fuel. For example, T8B92 stands for 8% (by volume) of

triacetin added to 92% (by volume) of waste cooking biodiesel. The miscibility and stability of

blends were tested at the room temperature for 96 hours and no phase separation was observed.

Model Cummins ISBe220 31

Cylinders 6 in-line Capacity 5.9 L Bore x stroke 102 x 120 (mm) Maximum power 162 kW @ 2000 rpm Maximum torque 820 Nm @ 1500 rpm Compression ratio 17.3:1 Aspiration Turbocharged

Fuel injection High pressure common rail

Dynamometer type Electronically controlled water brake dynamometer

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The oxygen content of the selected fuels ranged from 0 to 14.23%. Increasing the oxygen content

of the fuel decreases the lower heating value (LHV), which in turn negatively affects the engine

power. In addition, the kinematic viscosity of the fuel, which is related to the degree of

unsaturation, increases with the fuel oxygen. This can adversely affect the atomisation of the fuel

spray and evaporation characteristics of the fuel during combustion [1].

The values for the blends listed in the Table 2 are estimated based on pure substance compositions.

For more information about triacetin and waste cooking biodiesel, the reader can refer to Ref. [10]

and a recent publication from our research group [13].

Table 2 Fuel properties

Fuel D100 B100 T100 D60B35T5 T4B96 T8B92 T10B90 O (wt%) 0 10.93 44.00 6.02 12.25 13.57 14.23 C (wt%) 85.1 76.93 49.53 80.46 75.81 74.73 74.19 H (wt%) 14.8 12.21 6.42 13.47 11.97 11.74 11.63 Density@15C (g/cc) 0.84 0.87 1.159 0.866 0.882 0.893 0.898 HHV (MJ/kg) 44.79 39.9 18.08 41.74 39.02 38.15 37.72 LHV (MJ/kg) 41.77 37.2 16.78 38.92 36.38 35.57 35.16 KV@40C (mm2/s) 2.64 4.82 7.83 3.66 4.94 5.06 5.12 Cetane number 53.3 58.6 15 53.24 56.86 55.11 54.24 2.4 Design of experiment

Driving cycles which show the driving pattern are not only used to model the exhaust emission,

but also to evaluate fuel consumption and engine performance. Driving cycles are classified based

on the driving pattern. The first category which is composed of different quasi steady-state modes of speed and load is called “modal” or “polygonal”, and the second one, real world driving cycles are based on actual driving data [14].

In the literature, many investigations used real world driving cycles such as US Federal Test

Procedure (FTP) transient cycle [1]. These driving cycles contain a very large amount of transient

fluctuations with rapid changes which limit the fundamental investigations on transient response.

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investigation in both transient response and steady-state response [15]. To date, the number of

investigations using controllable transient conditions are limited [1, 15, 16].

It is preferable to use existing modal driving cycle from the literature, however no suitable example

could be found to achieve the research goals of the investigation. Hence, a custom cycle based on

modal driving cycle schedule with some controllable transient modes was designed to evaluate the

engine performance and exhaust emission during steady-state and transient discrete modes of

operation. Since the engine used in this study has a Euro III emission certification, to design this

custom cycle, speed and torque were selected from European Stationary Cycle (ESC) driving cycle

pattern, which was a legislated test cycle for heavy-duty engines in the Euro III legislation.

Unlike the ESC, which has a sharp change between steady-state modes, different controllable

transient ramps were added between the steady-state modes instead of sharp changes. The concept

was based on the Supplemental Emissions Test (SET) introduced in the US EPA 2004 emission

standards. A reason behind adding the ramped modes in the custom cycle was to study the engine

performance and exhaust emission under the discrete modes of transient operation such as load

increase and acceleration, however this is not in the scope of this paper. In addition, compared to

ESC, this custom cycle has better control of mode changes, hence the engine will stabilise faster

than the ESC during the steady state sections.

The custom cycle uses 3 engine speeds and during each speed there are 5 loads involved. Figure 2

shows the custom cycle designed for this study. The three speeds in this cycle are based on the

ESC; A, B, and C are calculated from Equation (1) with units of rpm. The high speed, nhi, is the

highest speed in which 70% of the maximum power occurs, and nlo is the lowest speed in which

50% of maximum power occurs. These two speeds can be achieved by mapping the engine power

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A = nlo + 0.25(nhi - nlo)

B = nlo + 0.50(nhi - nlo) (1)

C = nlo+ 0.75(nhi - nlo),

Figure 2 Custom cycle designed for this study

2.5 Error analysis

In order to minimise the faulty measurement from emission instrumentation at low redundancy,

three particle measuring instruments and two gas analysers were utilised. For each fuel, the test

was repeated at least two times and the repeatability of the results were confirmed by calculating

the standard deviation and coefficient of variation. Also, the results showed the same trend with

another cycle, ESC, which had similar operating modes.

The data presented in this paper is the averaged value of the measured exhaust emissions and

engine performance parameters at different modes of the custom cycle where the speed and torque

are constant. Since in the custom cycle there is a load increase transient mode before the start of

each steady-state mode, the response signal at each mode has some fluctuations in the designed

steady-state part before becoming stable. This could be due to turbocharger lag. In order to assure

that in data analysis the response signals for the steady-state component were averaged over the 1000 1200 1400 1600 1800 2000 2200 2400 0 25 50 75 100 0 200 400 600 800 1000 E ng ine Sp ee d (rpm ) L o a d ( %) Time (s) Load (%)

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actual steady-state part, the settling time (ts) with 2% threshold was utilised to calculate the time

that the response signal needs to get stable. Hence, the response signals were averaged after ts.

Settling time is the required time for the response signal to reach and stay within a range of 2% of

the final value [17].

3. Result and discussion

3.1 Oxygen ratio:

The nearness of the air and fuel mixture during combustion to its stoichiometric condition affects

the engine performance and exhaust emission characteristics [18]. The air-fuel equivalence ratio, λ, is a widely used parameter to quantify the mixture by using the actual and stoichiometric AFR (air to fuel ratio), but AFR only shows the ratio of the intake air and fuel, and it cannot show the

real amount of oxygen when the fuel is oxygenated, while the presence of oxygen molecules during

combustion can be a significant factor in the analysis of emission and engine performance. Hence,

when fuels are oxygenated, OR (oxygen ratio), which is a more appropriate measure of

stoichiometry, can be used instead of equivalence ratio [18]. The OR is defined as the ratio of total

oxygen atoms in the mixture to the total required oxygen atoms for the stoichiometric combustion

[6]. The OR is defined by Equation (4), where “Oxygenfuel” and “Oxygenair”are the masses of

oxygen within the fuel and the intake air, respectively. The “Stoichiometric oxygen requirement”

is the theoretical amount of oxygen required for stoichiometric combustion.

OR= (Oxygenfuel + Oxygenair) / (Stoichiometric oxygen requirement) (2)

Figures 3 (a) and (b), respectively show λ and oxygen concentration in the exhaust with respect to

the oxygen ratio for the tested fuels at all the modes of the custom test. In all the figures

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are shown with three different shapes, and 4 engine loads are displayed with 4 shape sizes (the

higher the load, the bigger the shape size). In general, λ and OR decrease with engine load, but

increases with engine speed, causing higher load and lower speed both lead to a higher rate of

injected fuel compared to the rate of intake air. As illustrated in Figure 3 (a), λ and OR has a linear

correlation with the R2 (coefficient of determination) of one. The difference is that in OR the fuel oxygen content is considered. It also shows that the oxygenated fuels have higher λ and OR which

means that the combustion is leaner when the fuel is oxygenated. This leaner combustion can be

confirmed by Figure 3 (b) where oxygen concentration in the exhaust gas increases by increasing

the oxygen content of the fuel. For example, compared to the oxygenated fuels, D100 emits the

lowest amount of oxygen at different modes of the custom cycle. The variation of this parameter

for different oxygen contents compared to D100 increases with load, but decreases with engine

speed. For example, the highest variations are around 4% higher than D100 related to the two

blends with 13.57% and 14.23% oxygen content occurs at 1472 rpm high loads, while the lowest

variations are around 0.2% higher than D100 related to the blend with 6% oxygen content occur

at 1865 and 2257 rpm low load.

The regression analysis between the exhaust oxygen and the OR shows a high value of R2 for each trendline confirming a strong correlation between these two parameters. This correlation, which is

demonstrated by a second order polynomial regression line, shows that the exhaust oxygen

concentration decreases by increasing the engine load and/or by decreasing the engine speed.

Since OR is a more relevant parameter to characterise oxygenated fuels it is used to present the

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Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 3 (a) Equivalence ratio (λ) vs. OR and (b) Exhaust oxygen vs. OR at different modes of the custom cycle

3.2 Engine Performance

3.2.1 Power and Mean Effective Pressure

Brake mean effective pressure (BMEP) can be defined as the amount of work produced per unit

displacement volume of an engine, while indicated mean effective pressure (IMEP) is the

equivalent uniform pressure throughout the power stroke to produce the same amount work that

can be produced by the actual varying pressure during the stroke. Figure 4 (a) shows the IMEP

and BMEP variation of the oxygenated fuels compared to D100. In the BMEP calculation, brake

power and engine speed are the main parameters, hence at a constant engine speed BMEP and

brake power have the same variation trend. This is also true for IMEP and indicated power. As can

be seen by increasing the oxygen content of the fuel, all these parameters decrease. For example,

the blend with 14.23% oxygen content (T10B90) has the largest drop compared to D100 at all

three speeds. According to the trendlines, it can be observed that, compared to BMEP (dashed

trendline), IMEP has a higher R2 at all three speeds which means IMEP has a stronger linear

correlation with the fuel oxygen content. Also it can be seen that at high speed (2257 rpm) this

linear trend is stronger than the other two speeds. It should be mentioned that the variation of R² = 1 2.5 3.5 4.5 5.5 6.5 7.5 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 Eq u iv a len ce r a tio , λ OR R² = 0.98 R² = 0.97 R² = 0.98 R² = 0.98 R² = 0.97 R² = 0.97 4 6 8 10 12 14 16 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 Ex h a u st o x y g en (% ) OR (a) (b)

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IMEP/BMEP with oxygen content was restricted by the fact that a constant load percentage for

different fuels had different brake powers, however Figure 4 (a) shows the variation under full

engine load with a wide open throttle. The heating value, which is the amount of heat energy

released by burning a unit quantity of the fuel, could be the reason of the variation [19]. This value

decreases by increasing the oxygen content of the fuels [20] as shown in Table 2. The effect of

heating value on BSFC is also discussed in the section 3.2.3.

3.2.2 Friction and Mechanical Efficiency

Figure 4 (b) shows the friction mean effective pressure (FMEP) which is the difference between

IMEP and BMEP. FMEP is the engine friction losses which arise from mechanical friction and

accessory work such as fuel pump, oil pump and water pump. It can be observed that FMEP

decreases with engine load, but it increases with engine speed. At most of the custom cycle, D100

showed a higher FMEP compared to B100. Adding triacetin to BD100 slightly increased the FMEP

in most of the cycle modes. In addition to FMEP, friction power which is the difference between

indicated power and brake power, is another parameter that relates to the engine friction losses.

Figure 5 (a) illustrates that the mean value of the friction power over the custom cycle decreases

by using the oxygenated fuel. As can be seen, the D100 has the highest value compared to the

other tested fuels. It also can be observed that the blend of waste cooking biodiesel and triacetin

with 12.25% fuel oxygen has a slightly higher value compared to BD100. However, the variations

with the three blends of waste cooking biodiesel and triacetin compared to BD100 are less than

1%.

In addition to the engine operating condition, the variation in FMEP and friction power are affected

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to the better lubricity of the biodiesel has been reported in the literature [13, 21-23]. A recent study

reported that the higher lubricity of biodiesel caused a reduction in friction losses in a diesel engine

with common rail injection system [21]. Another study also showed that the brake power improved

due to the better lubricity of biodiesel which reduced the fiction losses in the common rail fuel

pump [22]. The better lubricity of the biodiesel, regardless of feedstock, is reported to be originated

from the inherent lubrication properties from fatty acid esters [24, 25]. It was shown that the better

lubricity of biodiesel leads to the reduction in wear, friction in the high pressure fuel pump and

friction on the cylinder liner [26-28].

The higher density, viscosity and surface tension of the oxygenated fuel compared to diesel lead

to a larger droplet size with a higher spray penetration into the cylinder [13]. This can cause a

higher fuel impingement of the biodiesel upon surfaces acting as a lubricant agent leading to

improve the lubricity and reduce the friction losses in the cylinder. This could be another reason

of lower friction losses with the oxygenated fuels compared to diesel. However, higher viscosity

increases the shear in hydrodynamic lubrication of the piston and the piston rings, which can

increase friction losses in some cases. This could be the reason of a slight increase in FMEP with

the triacetin blends compared to BD100, as the triacetin has a higher viscosity than the waste

cooking biodiesel, as shown in Table 2. However, the friction losses variation could result from a

number of mechanisms reinforcing or weakening one another under different conditions.

The viscosity of the engine lubricating oil which plays an important role in friction reduction can

be reduced by the fuel dilution [29]. This can occur due to blow-by which is when the leaked

unburned fuel and exhaust gas pass the piston rings form cylinder into crankcase. This dilution

over time reduces the viscosity of the lubricating oil which can potentially reduce the friction

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decreased blow-by rate. This could be due to the viscosity of the tested fuel as it increases by

increasing the fuel oxygen content (shown in Table 2). For example, the T10B90 with the highest

viscosity and oxygen content showed the lowest blow-by rate. It can be seen that adding triacetin

to the waste cooking biodiesel caused a decrease in blow-by rate, as triacetin has a higher viscosity

compared to the BD100.

Mechanical efficiency (ME) which is shown in the Figure 5 (b) is another parameter related to the

friction losses. On the contrary to FMEP, ME decreases with engine load and increases with engine

speed (ME decreases with OR). Regarding the variation of ME vs. OR, the R2 of each regression line shows that there is a strong linear correlation between these two parameters. The variation of

ME for the tested fuels is lower than 3% at most of the modes.

Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 4 (a) IP/IMEP and BP/BMEP variation vs. fuel oxygen content at three different speeds full load and (b) FMEP vs. OR at all modes of the custom cycle.

R² = 0.96 R² = 0.95 R² = 0.91 R² = 0.88 R² = 0.99 R² = 0.98 -25 -20 -15 -10 -5 0 0 5 1 0 1 5 V a ria tio n o f B M EP a n d IM EP (% )

Fuel oxygen content (%)

0 0.03 0.06 0.09 0.12 0.15 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 FM EP (M Pa ) OR

IMEP (Large symbol) ― BMEP (Small symbol) - - -

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Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 5 (a) Mean friction power and blow-by vs. oxygen content over the custom cycle and (b) ME vs. OR at all modes of the custom cycle.

3.2.3 Brake Specific Fuel Consumption and Thermal Efficiency

Brake specific fuel consumption (BSFC) is defined as the mass of fuel consumed per unit of

mechanical energy produced by an engine in kWh. This parameter can be used to show the fuel

efficiency and the effect of fuel on the engine performance. Figure 6 (a) shows that BSFC increases

with OR. A linear regression line shows the correlation between BSFC and OR. The Figure also

shows that D100 with 0% oxygen content has the lowest BSFC at all the modes of the custom

cycle and by increasing the fuel oxygen content, BSFC increases. Compared to D100, the variation

of this parameter increases with the fuel oxygen content. For example, the highest variations are

related to the blend with 14.23% oxygen content at all the modes. This behavior was expected due

to the lower calorific value of the oxygenated fuel, as to produce the same power more amount of

fuel with lower calorific value must be consumed.

The brake thermal efficiency (BTE) which is shown in Figure 6 (b) is the ratio of actual brake

work produced by the engine to the chemical energy released during combustion. It shows how

efficiently the chemical energy of the fuel is transformed into useful work. The Figure 6 (b) shows

15.5 16.5 17.5 18.5 19.5 20.5 45 47 49 51 53 55 57 59 0 3 6 9 1 2 1 5 Fric tio n p o w er (k W ) B lo w -b y (L/m in )

Fuel oxygen content (%)

R² = 0.93 R² = 0.97 R² = 0.97 R² = 0.97 R² = 0.98 R² = 0.96 65 70 75 80 85 90 95 100 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 M E (% ) OR (a) (b)

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that the BTE increases with engine load, but decreases with engine speed, which means engine has

a better BTE at lower OR. A linear regression line shows the correlation between BTE and OR.

In general, BD100 with 10.93% oxygen content has a higher BTE compared to D100 and other

fuels in this study, however the highest variation is 3% and at most of the modes this variation is

less than 2%. Adding triacetin to B100 decreases the BTE. This could be due to the higher

viscosity, density, and lower heating value of the T100 compared to B100.

Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 6 (a) BSFC vs. OR and (b) BTE vs. OR at all modes of the custom cycle.

3.3 Emissions

3.3.1 Carbon dioxide and Carbon monoxide (CO)

CO2 formation is directly dependent on fuel consumption. As illustrated in Figure 7 (a), CO2

concentrations decreases by increasing the OR. CO2 concentration increases by increasing the load

and/or by decreasing the engine speed. The coefficient of determination, R2, of each second order

polynomial regression line shows a strong correlation between these two parameters. In addition,

CO2 concentration decreases when the fuel is oxygenated. The reason is due to the lower fuel

burning rate (not BSFC) of the oxygenated fuels at different loading conditions. According to the R² = 0.79 R² = 0.95 R² = 0.85 R² = 0.87 R² = 0.92 R² = 0.94 150 190 230 270 310 350 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 B S FC (g /k W h ) OR R² = 0.77 R² = 0.92 R² = 0.83 R² = 0.85 R² = 0.89 R² = 0.92 28 30 32 34 36 38 40 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 B TE (% ) OR (a) (b)

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same figure, D100 has the highest value at all the modes. The highest variations are around 2.5%

lower than that of D100 at 1472 rpm high loads for the B100 and its three blends with triacetin,

however, the most of the variations are less than 1.5%.

The formation of CO in CI engines highly depends on AFR. Insufficient oxygen in CI engine

combustion is the main cause of CO formation. As it can be seen in Figure 7 (b), the higher

indicated specific CO emissions correspond to the higher OR at quarter load in which this emission

increases by increasing the oxygen content of fuel. This can be due to the high AFR and lean

combustion in which the presence of oxygen makes the combustion leaner. This can be seen in

Figure 3 (b) which shows the oxygen concentration in the exhaust gas. Except at quarter load, the

indicated specific CO emission of the oxygenated fuels is lower than that of D100 at the other

modes. This can be due to the lower AFR at higher loads in which the oxygen in the fuels helps

with the combustion to be more close to the stoichiometric condition.

Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 7 (a) CO2 concentration vs. OR and (b) Indicated specific CO vs. OR at all modes of the custom cycle.

3.3.2 Hydrocarbons

Another incomplete combustion product which is related to the over rich/lean air fuel mixture is

hydrocarbon (HC) emissions. From the literature, using biofuels can decrease HC formation due R² = 0.98 R² = 0.97 R² = 0.98 R² = 0.98 R² = 0.97 R² = 0.97 3.5 5.5 7.5 9.5 11.5 13.5 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 CO 2 (%) OR 0 1 2 3 4 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 In d ica te d sp ec ifi c CO (g /k W h ) OR (a) (b)

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to the oxygen content of fuel and absence of aromatics, both promote more complete combustion

[1]. As can be seen in Figure 8 (a), the higher indicated specific HC emissions correspond to the

higher OR. The coefficient of determination, R2, the regression line for each fuel shows a linear correlation between the emitted HC and OR.

D100 with 0% oxygen has the highest value at all the modes and the other fuel with 6.02% oxygen

content which contains diesel in the blend stands below the D100 at all the modes. As it can be

seen at all the modes of the custom cycle, B100 with the highest cetane number and 11% oxygen

content has the lowest emitted HC. Using this fuel can reduce the HC emission. Compared to

D100, the HC emission reduction with this fuel is between 51% and 64% at different modes of the

custom cycle. There is an increase in exhaust HC emission by adding triacetin to waste cooking

biodiesel. The reason is that triacetin has a low cetane number and adding triacetin to waste

cooking biodiesel decreases the cetane number of the blend, hence the emitted HC increases. It

should be mentioned that the higher cetane number of the oxygenated fuels in this study leads to a

reduction in ignition delay time in which HC mainly forms. Hence the higher the cetane number,

the lower the HC emission. Also the higher viscosity and density of the triacetin blends, compared

to waste cooking biodiesel, can cause an improper mixing with the air which all leads to higher

HC formation. In addition, higher AFR of D100 at lower loads and over leaning combustion can

lead to more unburned fuel during combustion and higher HC emission. This shows that the above

reasons have more effect than the fuel oxygen content on HC formation, compared to PM

formation in which the oxygen content is the main reason, shown in Section 3.3.4.

3.3.3 Nitrogen oxides

NOx formation highly depends on temperature, residence time under high temperature, oxygen

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literature have reported that using oxygenated fuels leads to higher NOx formation due to reasons

such as higher bulk modulus, cetane number, density and viscosity of the biofuels [1].

Figure 8 (b) show the indicated specific NOx for the tested fuels under the custom cycle in respect

to OR. It shows that NOx emission decreases with OR. It means that NOx formation is highly

correlated to the engine load as it increases at higher loads in which the combustion temperature

is higher, while a decreasing trend can be observed with an increase in engine speed. In addition,

in Figure 8 (b) a moderate increase in NOx formation can be seen by increasing the oxygen content

of fuel. Except three quarter load modes, in all the other modes using pure B100 or the other three

blends of waste cooking biodiesel and triacetin leads to an increase in NOx emission, compared to

D100. The highest variation is at 1865 rpm full load in which the NOx emission from the

oxygenated fuels is 19% to 31% higher than that of D100. At 1865 and 2257 rpm quarter load the

maximum NOx variation compared to D100 is around 5%, while at 1472 rpm quarter load this

variation is around 10%.

Compared to D100, the local conditions during the combustion of the oxygenated fuels are closer

to the stoichiometric condition due to the presence of oxygen in fuel. This leads to a better and

more complete premixing during the ignition delay, hence a higher fraction of heat release occurs

during the premixed phase of combustion, and consequently, it leads to higher in-cylinder

temperature and longer residence times at high temperature. This mechanism would be expected

to lead to a higher NOx formation [1, 30, 31]. The increased NOx with biodiesel results from a

number of mechanisms affecting each other positively or negatively under different conditions.

Ref. 30 analysed different proposed hypotheses to interpret the NOx increase with biodiesels, and

reported that the premixing level plays a more important role than the fuel molecular structure. It

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and in the standing premixed auto-ignition zone near the flame lift-off length can better explain

the NOx increase with biodiesels [30].

Adiabatic flame temperature could be another parameter that can affect the NOx formation [31].

It has been reported that because of the double bonds in the molecules of biodiesels, the adiabatic

flame temperature of biodiesel is higher than the D100. Hence it could be a reason for higher NOx

formation [31, 32]. Some researchers found that the adiabatic flame temperature is affected by the

in-cylinder radiative heat transfer from particle formation. The same as this study (section 3.3.4),

it has been frequently reported that the oxygenated fuels, compared to neat diesel, has a lower

amount of PM formation which leads to a lower radiative heat transfer, higher flame temperature

and higher NOx formation [30, 31].

Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 8 (a) Indicated specific HC vs. OR and (b) Indicated specific NOx vs. OR at all modes of the custom cycle.

3.3.4 Particulate matter

In general, particulate matter is a liquid and solid mixture suspended in a gas. In compression

ignition engines, the injected fuel will be mixed with the oxidant in the combustion chamber;

consequently, a great degree of heterogeneity characterises the combustion process. This process

is defined as diffusion flame combustion, which is the main cause of PM emission [33]. Particulate R² = 0.98 R² = 0.97 R² = 0.86 R² = 0.87 R² = 0.80 R² = 0.92 0 2 4 6 8 10 12 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 In d ica te d sp ec ifi c H C (g /k W h ) OR 2.5 3 3.5 4 4.5 5 5.5 6 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 In d icate d s p ec if ic NOx (g /k W h ) OR (a) (b)

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matter is a complex pollutant that is not a chemically well-defined substance in terms of formation

and composition. Particulate matter formation depends on various factors such as fuel type, engine

load, engine speed, after-treatment devices, dilution level after being emitted and engine

maintenance.

Figure 9 (a) shows the indicated specific PM for the tested fuels under the custom cycle. As can

be seen, PM emission has lower values at higher OR where the engine load decreases. This trend

is similar to another study from our research group in which the indicated specific PM emission

decreased by increasing the OR [6]. In addition, Figure 9 (a) also shows that by increasing the

oxygen content of fuel, PM decreases gradually. For example D100, with 0% oxygen content,

emits the highest amount of PM in all of the modes, while the lowest emitted PM corresponds to

the blend with the highest oxygen content, 14.23 %. From the literature, most studies showed that

oxygenated fuels have the potential to reduce PM. A recent publication showed that the chemical

composition of the fuel, particularly the fuel oxygen content, has more effect on PM emission

reduction than the fuel physical properties such as viscosity and cetane number [7]. Similarly,

some other investigations showed that the reduction of PM is related to the oxygen content of fuel.

The more oxygen content, the more PM reduction [1, 34, 35].

Generally, PM formation takes place in the fuel-rich zone under high temperature decomposition

during combustion. It mainly happens in the fuel spray fuel core region. Apart from the type of

fuel, the presence of oxygen helps the soot oxidation process. In addition to the intake air, in

oxygenated fuels, the local fuel-rich zone within the core region of the sprayed fuel is reduced,

preventing higher PM formation. Hence, the higher the oxygen content of the fuel, the less PM

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There are some investigations in the literature regarding the PM emission over various driving

cycles. For example, the fuel oxygen effect on PM emission reduction during the FTP transient

cycle [36], and during the NEDC cycle [37]. Similar to the literature, Figure 9 (a) shows that the

mean value of PM formation over the custom cycle decreases dramatically by increasing the

oxygen content of the fuel. For example, using the blend with 14.23% oxygen content can reduce

the PM mean value by 90%. A second order polynomial regression line with R² = 0.99 in the

Figure shows that there is a strong correlation between these two parameters.

3.3.5 Particle number and particle size distribution

Recently, in terms of air quality, particle number (PN) emissions from engines are gaining more

attention. The reason could be the toxicity of particles which increases by decreasing the particle

size [38]. As a consequence the EU included PN in Euro 6 and EURO 5b emission standards for

heavy-duty and light-duty vehicles.

Figure 9 (b) shows the indicated specific PN for the tested fuels under the custom cycle. The PN

emission increases by increasing the engine speed, while it decreases by increasing the engine

load. In this study, the trend of PN formation corresponding to the OR for different engine speeds

is similar to another study from our research group which used fractionated palm oil [6]. Regarding

the effect of fuel oxygen content, the variation of PN emission is similar to PM emission. As it can

be seen in Figure 9 (b) that oxygenated fuels emits lower PN compared to D100 with 0% oxygen

content. For example, at 25% load and 2257 rpm D100 has the highest amount and the blend with

14.23% oxygen content has the lowest amount. Between these points PN decreases by increasing

the fuel oxygen.

A recent publication attempted to explained the PN emission reduction corresponding to the fuel

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the oxidation of the already formed soot and also promotes the combustion in the fuel-rich

diffusion-flame region and within the core region of the sprayed fuel. Lack of aromatic

hydrocarbons which leads to less soot formation could be another reason for decrease in PN. These

reasons also lead to a change in particle size from larger to smaller particles since the oxygen

content of fuel causes the higher soot oxidation rate after diffusion combustion and the higher

combustion temperature [15].

There are two main categories for the particle size distribution, nucleation and accumulation

modes. In the nucleation mode the particles diameter sizes are between 3 to 30 nm, which only

contains a few percent of the total particle mass. These small particles consist of sulfate and

Soluble Organic Fraction (SOF) are mainly formed during dilution and cooling. On the other hand,

in the accumulation mode, the agglomerated soot and adsorbed materials, which mainly have the

diameter size of 30 to 1000 nm, form the main portion of the total particle mass [15].

Figure 10 (a) and (b) show the particle size distribution for the tested fuels under full load at two

engine speeds; 1865 and 2257 rpm. As illustrated, by increasing the oxygen content, the

accumulation mode count median diameter (the peaks in the PN size distribution graph in the

accumulation part) moves toward the smaller particle sizes. It can be observed that the

accumulation mode peak size decreases from 75 to 56 nm (at 1865 rpm) and from 65 to 56 nm (at

2257). The fuel oxygen content was reported to be the reason of this reduction [15]. The other size

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Load% (Shape Size): 100 (9) - 75 (7) - 50 (5) - 25 (3) Speed (rpm): 1472 ( ) 1865 (O) 2257(x) 0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 9 (a) Indicated specific PM vs. OR (Subdiagram illustrates the mean value of PM emission over the custom cycle) and (b) Indicated specific PN vs. OR at all modes of the custom cycle.

0% O2 6.02% O2 10.93% O2 12.25% O2 13.57% O2 14.23% O2

Figure 10 PN size distribution for oxygenated fuels under full load at (a) 1865 rpm and (b) 2257 rpm

Most of the previous investigations on exhaust emissions have been done on diesel-tuned engines

and some disadvantages could root from calibration issues. A recalibration of the ECU and

injection system might improve some of the disadvantages of using biofuels [1].

4. Conclusion

This study investigated the effect of oxygenated fuels on engine performance and exhaust emission

under a custom cycle using a modern six-cylinder turbocharged common-rail diesel engine.

Regarding the tested fuels, the blends were based on waste cooking biodiesel and triacetin was

used as an additive. The following conclusions were drawn:

0 0.05 0.1 0.15 0.2 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 In d ic a te d s p ec ific PM (g /k W h ) OR 0 3E+14 6E+14 9E+14 1.2E+15 1.5E+15 2 . 5 3 . 5 4 . 5 5 . 5 6 . 5 7 . 5 In d ica te d sp ec ifi c PN (g /k W h ) OR 0.E+00 4.E+06 8.E+06 1.E+07 2.E+07 1 10 100 1000 d N/d lo g Dp (# /cm 3) Particle size (nm) 0.E+00 4.E+06 8.E+06 1.E+07 2.E+07 1 10 100 1000 d N/d lo g Dp (# /cm 3) Particle size (nm) Mean value over custom cycle

(a) (b)

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Since the tested fuels were oxygenated, the OR (oxygen ratio) was used instead of equivalence

ratio. The OR decreases with engine load, but increases with engine speed.

In terms of the engine performance parameters, by increasing the OR, there was an increase in

FMEP and BSFC, while ME and BTE decreased. Increasing the oxygen content of the fuel

decreased the IP, BP, IMEP and BEMP due to the lower calorific value of the oxygenated fuel.

Compared to diesel, the range of decrease in the mentioned parameters were 5 (6.02% fuel oxygen

blend) to 23% (14.23% fuel oxygen blend). The BD100 (10.93% oxygen content) showed the

highest BTE, however at most of the modes the variation was less than 2%. In addition, the better

lubricity and higher viscosity of the oxygenated fuels may have been factors to decrease friction

power, which ranged from 6 to 20% lower than diesel. A strong correlation was observed between

fuel kinematic viscosity and blow-by.

In terms of exhaust emission, by increasing the OR there was an increase in CO, HC and PN, while

CO2, NOx and PM decreased. Compared to diesel, using the oxygenated fuel decreased CO2 up

to 2.5%, CO (at higher loads) up to 82%, HC up to 64%, PM and PN both up to 90%, while it

increased NOx up to 31%. Also, by increasing the oxygen content, the accumulation mode count

median diameter moved toward the smaller particle sizes.

5. Acknowledgement

This research supported under Australian Research Council’s Linkage Projects funding scheme

(project number LP110200158). The author also would like to acknowledge the laboratory

assistance from Mr. Noel Hartnett, DynoLog software development by Mr Andrew Elder from

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Biodiesel (Dr. Doug Stuart) for the supply of waste cooking biodiesel and Dr. Meisam Babaie and

Dr. Michael Cholette for their guide and support.

6. References

[1] E.G. Giakoumis, C.D. Rakopoulos, A.M. Dimaratos, D.C. Rakopoulos, Exhaust emissions of diesel engines operating under transient conditions with biodiesel fuel blends, Progress in Energy and Combustion Science, 38 (2012) 691-715.

[2] M. Senthil Kumar, M. Jaikumar, A comprehensive study on performance, emission and combustion behavior of a compression ignition engine fuelled with WCO (waste cooking oil) emulsion as fuel, Journal of the Energy Institute, 87 (2014) 263-271.

[3] A.N. Phan, T.M. Phan, Biodiesel production from waste cooking oils, Fuel, 87 (2008) 3490-3496.

[4] M.G. Kulkarni, A.K. Dalai, Waste cooking oil an economical source for biodiesel: a review, Industrial & engineering chemistry research, 45 (2006) 2901-2913.

[5] M. Dorado, E. Ballesteros, J. Arnal, J. Gomez, F. Lopez, Exhaust emissions from a Diesel engine fueled with transesterified waste olive oil, Fuel, 82 (2003) 1311-1315.

[6] P.X. Pham, T.A. Bodisco, Z.D. Ristovski, R.J. Brown, A.R. Masri, The influence of fatty acid methyl ester profiles on inter-cycle variability in a heavy duty compression ignition engine, Fuel, 116 (2014) 140-150.

[7] M. Rahman, A. Pourkhesalian, M. Jahirul, S. Stevanovic, P. Pham, H. Wang, A. Masri, R. Brown, Z. Ristovski, Particle emissions from biodiesels with different physical properties and chemical composition, Fuel, 134 (2014) 201-208.

[8] S. Liu, L. Shen, Y. Bi, J. Lei, Effects of altitude and fuel oxygen content on the performance of a high pressure common rail diesel engine, Fuel, 118 (2014) 243-249.

[9] H. An, W.M. Yang, J. Li, D.Z. Zhou, Modeling study of oxygenated fuels on diesel

combustion: Effects of oxygen concentration, cetane number and C/H ratio, Energy Conversion and Management, 90 (2015) 261-271.

[10] A. Casas, J.R. Ruiz, M.a.J.s. Ramos, A. Pérez, Effects of triacetin on biodiesel quality, Energy & Fuels, 24 (2010) 4481-4489.

[11] M. Gupta, N. Kumar, Scope and opportunities of using glycerol as an energy source, Renewable and Sustainable Energy Reviews, 16 (2012) 4551-4556.

[12] T. Bodisco, R.J. Brown, Inter-cycle variability of in-cylinder pressure parameters in an ethanol fumigated common rail diesel engine, Energy, 52 (2013) 55-65.

[13] M.A. Islam, M.M. Rahman, K. Heimann, M.N. Nabi, Z.D. Ristovski, A. Dowell, G. Thomas, B. Feng, N. von Alvensleben, R.J. Brown, Combustion analysis of microalgae methyl ester in a common rail direct injection diesel engine, Fuel, 143 (2015) 351-360.

[14] A. Fotouhi, M. Montazeri-Gh, Tehran driving cycle development using the k-means clustering method, Scientia Iranica, 20 (2013) 286-293.

[15] P.-q. Tan, S.-s. Ruan, Z.-y. Hu, D.-m. Lou, H. Li, Particle number emissions from a light-duty diesel engine with biodiesel fuels under transient-state operating conditions, Applied Energy, 113 (2014) 22-31.

(27)

26

[16] D.C. Rakopoulos, C.D. Rakopoulos, E.G. Giakoumis, Impact of properties of vegetable oil, bio-diesel, ethanol and n-butanol on the combustion and emissions of turbocharged HDDI diesel engine operating under steady and transient conditions, Fuel, 156 (2015) 1-19.

[17] O. Katsuhiko, Modern control engineering, Third ed., Tom Robbins, 1997.

[18] C.J. Mueller, M. Musculus, L. Pickett, W. Pitz, C. Westbrook, The oxygen ratio: a fuel independent measure of mixture stoichiometry, in: 30th International symposium on combustion, 2005.

[19] M.N. Nabi, M.M. Rahman, M.A. Islam, F.M. Hossain, P. Brooks, W.N. Rowlands, J. Tulloch, Z.D. Ristovski, R.J. Brown, Fuel characterisation, engine performance, combustion and exhaust emissions with a new renewable Licella biofuel, Energy Conversion and Management, 96 (2015) 588-598.

[20] M.N. Nabi, H. Ogawa, N. Miyamoto, Nature of fundamental parameters related to engine combustion for a wide range of oxygenated fuels, in, SAE Technical Paper, 2002.

[21] C. Woo, S. Kook, E.R. Hawkes, P.L. Rogers, C. Marquis, Dependency of engine

combustion on blending ratio variations of lipase-catalysed coconut oil biodiesel and petroleum diesel, Fuel, 169 (2016) 146-157.

[22] C. Woo, S. Kook, P. Rogers, C. Marquis, E. Hawkes, S. Tupufia, A Comparative Analysis on Engine Performance of a Conventional Diesel Fuel and 10% Biodiesel Blends Produced from Coconut Oils, SAE International Journal of Fuels and Lubricants, 8 (2015) 597-609.

[23] M. Mosarof, M. Kalam, H. Masjuki, A. Alabdulkarem, M. Habibullah, A. Arslan, I. Monirul, Assessment of friction and wear characteristics of Calophyllum inophyllum and palm biodiesel, Industrial Crops and Products, (2016).

[24] A.K. Agarwal, Biofuels (alcohols and biodiesel) applications as fuels for internal combustion engines, Progress in energy and combustion science, 33 (2007) 233-271.

[25] J. Hu, Z. Du, C. Li, E. Min, Study on the lubrication properties of biodiesel as fuel lubricity enhancers, Fuel, 84 (2005) 1601-1606.

[26] M. Fazal, A. Haseeb, H. Masjuki, Investigation of friction and wear characteristics of palm biodiesel, Energy Conversion and Management, 67 (2013) 251-256.

[27] A. Agarwal, Experimental investigations of the effect of biodiesel utilization on lubricating oil tribology in diesel engines, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 219 (2005) 703-713.

[28] A.K. Agarwal, J. Bijwe, L. Das, Wear assessment in a biodiesel fueled compression ignition engine, Journal of engineering for gas turbines and power, 125 (2003) 820-826.

[29] S. Arumugam, G. Sriram, R. Ellappan, Bio-lubricant-biodiesel combination of rapeseed oil: An experimental investigation on engine oil tribology, performance, and emissions of variable compression engine, Energy, 72 (2014) 618-627.

[30] C.J. Mueller, A.L. Boehman, G.C. Martin, An Experimental Investigation of the Origin of Increased NOx Emissions When Fueling a Heavy-Duty Compression-Ignition Engine with Soy Biodiesel, in, SAE Technical Paper, 2009.

[31] J. Sun, J.A. Caton, T.J. Jacobs, Oxides of nitrogen emissions from biodiesel-fuelled diesel engines, Progress in Energy and Combustion Science, 36 (2010) 677-695.

[32] R.L. McCormick, M.S. Graboski, T.L. Alleman, A.M. Herring, K.S. Tyson, Impact of biodiesel source material and chemical structure on emissions of criteria pollutants from a heavy-duty engine, Environmental science & technology, 35 (2001) 1742-1747.

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[34] S. Gill, A. Tsolakis, J. Herreros, A. York, Diesel emissions improvements through the use of biodiesel or oxygenated blending components, Fuel, 95 (2012) 578-586.

[35] J. Wang, F. Wu, J. Xiao, S. Shuai, Oxygenated blend design and its effects on reducing diesel particulate emissions, Fuel, 88 (2009) 2037-2045.

[36] M. Graboski, J. Ross, R. McCormick, Transient emissions from No. 2 diesel and biodiesel blends in a DDC series 60 engine, in, SAE Technical Paper, 1996.

[37] J. Luján, V. Bermúdez, B. Tormos, B. Pla, Comparative analysis of a DI diesel engine fuelled with biodiesel blends during the European MVEG-A cycle: Performance and emissions (II), Biomass and Bioenergy, 33 (2009) 948-956.

[38] J. Krahl, J. Bünger, O. Schröder, A. Munack, G. Knothe, Exhaust emissions and health effects of particulate matter from agricultural tractors operating on rapeseed oil methyl ester, Journal of the American Oil Chemists' Society, 79 (2002) 717-724.

[39] M. Rahman, S. Stevanovic, M. Islam, K. Heimann, M. Nabi, G. Thomas, B. Feng, R. Brown, Z. Ristovski, Particle emissions from microalgae biodiesel combustion and their relative oxidative potential, Environmental Science: Processes & Impacts, 17 (2015) 1601-1610.

References

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