1. Introduction
The global warming crisis has apparently been a severe problem over the last few decades. Furthermore, the 10 warmest years on record have occurred since 1998, with the 4 warmest years occurring since 2014 [
1]. Hence, carbon neutrality has become a desperate need to resolve the climate crisis, as it is closely linked to anthropogenic Greenhouse Gas (GHG) emissions, particularly Carbon Dioxide (CO
2) [
2,
3,
4]. To help achieve carbon neutrality by decreasing CO
2 emissions, a variety of new technologies have been developed for passenger vehicles, such as hybrid electric, plug-in hybrid electric, lithium-ion battery electric, solar-powered, fuel-cell electric, etc. [
5,
6,
7].
However, due to the relatively high cost and low torque output, these technologies are rarely utilised in non-road mobile machineries, such as vessels and boats. In order to realise zero CO
2 emissions in conventional Internal Combustion Engine (ICE) fuelled with fossil fuels, Oxy-Fuel Combustion (OFC) technology with Carbon Capture and Storage (CCS) has been an attractive alternative in recent decades. Yaverbaum initially proposed OFC technology, which was afterward widely applied in power stations [
8,
9,
10,
11,
12]. Equation (1) and
Table 1 present the OFC reaction process and the gas physicochemical properties, respectively. The discrepancies of physicochemical properties between CO
2 and nitrogen have significant impacts on OFC and Conventional Air Combustion (CAC). The chemical reaction indicates that OFC can take advantage of eliminating nitrogen during the combustion process. The comparison of gas properties shows that CO
2 heat capacity is much higher than nitrogen on a mole basis. Besides, both the thermal diffusivity and oxygen diffusion of CO
2 are much lower than those of nitrogen.
Regarding the study of OFC technology in Spark Ignition (SI) engines, Bilger [
15] initially proposed a new approach named Internal Combustion Rankine Cycle (ICRC) in 1999. In recent years, Wu et al. [
16,
17,
18,
19,
20,
21,
22,
23,
24,
25] made a significant contribution to ICRC implementation in Port Fuel Injection (PFI) SI engines fuelled with propane under 40% to 70% oxygen volume fraction. Water Injection (WI) has been a proven method to control oxy-fuel combustion process of ICRC engines based on some findings [
17,
18,
19,
20,
21]. Engine performance could be directly affected by the timing, duration, pressure, mass and temperature of WI. Thermal efficiency and indicated work could be enhanced by an appropriate rate of EGR matches with ignition timing and increased WI temperature. Li et al. [
26] initially investigated the impacts of intake charge on OFC in a dual-injection SI engine fuelled with gasoline under GDI, P-G and PFI three injection strategies.
Based on this literature survey about OFC implementation in SI engines, most of them focused on PFI engines fuelled propane. However, few studies have been reported about the implementation of OFC in GDI engines or dual-injection SI engines. However, Gasoline Direct Injection (GDI) technology has become the mainstream of SI engines in academia and industry [
27,
28,
29,
30,
31,
32,
33,
34,
35]. In 2005, an advanced technology named dual-injection was commercially applied to SI engines by Toyota [
36]. Furthermore, with the advantages of flexible fuel injection, dual-injection SI engines have been a hot topic for researchers in recent years [
37,
38,
39,
40,
41,
42]. The thermal efficiency, gaseous and particulate emissions have been investigated in this type of engine by using gasoline plus various fuels such as methanol, ethanol and 2,5-dimethylfuran.
Therefore, the investigation of the effects of WI strategies on combustion characteristics of OFC in a dual-injection SI engine fuelled with gasoline was firstly reported in this article. It will provide valuable insight into the effects of WI strategies on OFC characteristics in a practical dual-injection engine, including GDI (only using GDI), P
50-G
50 (50% PFI and 50% GDI) and PFI (only using PFI). The findings will help build the conceptual and theoretical foundation for the OFC implementation in dual-injection SI engines, as well as exploring a solution to increase engine efficiency. This work belongs to the ‘RIVER’ project, which was proposed to develop a novel non-carbon boat with an environment-friendly powertrain system. The overview of the designed novel ‘RIVER’ system can be depicted in
Figure 1, which mainly includes the subsystems of oxygen feeding, intake organisation, CO
2 capture and storage. Pure oxygen is mixed with recirculated gas (CO
2), then the mixture will enter into engine combustion chambers. Besides, the excess CO
2 can be captured in a storage tank to achieve zero carbon emissions.
2. Research Approach and Numerical Method
2.1. Research Approach and Key Parameters
In order to keep this numerical study well organised, the procedure can be summarised in
Figure 2. First, the validation of this model is performed based on the experimental data of 2000 rpm-10 bar BMEP under CAC mode. Second, as nitrogen is replaced by CO
2, engine operation converts into the OFC mode with nitrogen replaced by CO
2, a comparison in performance between CAC and OFC is presented. Finally, the effects of WI mass, WI timing and WI temperature on OFC characteristics are explored and analysed in turn.
In order to increase the efficiency of water utilisation for optimising OFC process, it is usually injected directly into the engine chamber by a separated injector [
17,
18,
19,
20,
21].
Figure 3 shows the schematic of two representatives.
The system presented in
Figure 3a is adopted in this numerical study, which advantage is compact size, simple structure and control measure. A container coupled with a pump is utilised to deliver water to a rail. Afterward, water will be directly injected into combustion chambers with the assistance of an air booster. The booster provides a high WI pressure to enhance water droplets’ breakup, diffusion and vaporisation.
The other strategy in
Figure 3b does not include storage for water supply. Instead, the water vapour in the exhaust gas can be condensed and separated, then heated up prior to being recirculated and injected into the combustion chambers. The advantage of this system is that overall thermal efficiency can be improved by the benefit of water vaporisation inside the cylinder chamber and the waste heat recovery from the exhaust gas.
In order to make the parameters more visually, WI mass is parameterised by water-fuel mass ratio (
) in Equation (2).
Here, (mg/cycle) and (mg/cycle) denotes the injection quantity of water and fuel per engine cycle, respectively.
WI timing and WI temperature is abbreviated with and , respectively. Brake Specific Fuel Consumption (BSFC) is introduced to evaluate fuel consumption. , and represents the Crank Angle (CA) where 10%, 50% and 90% of the total heat has been released, respectively. Ignition delay () represents the period between spark timing and . Combustion duration () denotes the period between and .
During the study, engine operation is kept at a typical mid-high load of 2000 revolutions per minute (rpm) and 10 bar Brake Mean Effective Pressure (BMEP). The spark timings are fixed under the conditions of = 0. WI pressure is maintained at 60 bar to ensure the injected water is in the liquid state. The water boiling point at 60 bar is around 549 K, which is much higher than the WI temperature (298 K to 368 K) in this study. Besides, to make the investigation process more explicit, the throttle opening angle, fuel injection timings, intake temperature and Oxygen Mass Fraction (OMF) remain constant with CAC mode throughout this study.
2.2. Engine and Testbed
The model of numerical study is set up based on a practical turbocharged dual-injection SI engine fuelled with gasoline. The engine specifications and testbed overview are presented in
Table 2 and
Figure 4, respectively. The used fuel of this study is commercial gasoline, which physical and chemical parameters are shown in
Table 3. Regarding the data collection and analysis of the test, cylinder pressure is measured and analysed by spark-plug type piezo-electric sensors (AVL-GH13Z), a crank sensor (Kistler 2614CK1), a charge amplifier (Kistler 5018A) and a combustion analyser (AVL 641). The pressure data are recorded and averaged by 200 consecutive cycles to ensure the accuracy of measurements. A direct current electrical dynamometer measures and controls the engine’s speed and torque in real-time. A programmable Electronic Control Unit (ECU) is used to adjust the ignition, fuel injection and other engine operating parameters. The air-fuel ratio is kept constant at stoichiometric ratio (lambda = 1 ± 0.01). The uncertainties of the measured parameters in the test are shown in
Table 4 by the root mean square method.
2.3. Model Description
The model used in this study is set up based on GT-Power software, which is an industry-standard simulation software and widely used both industry and academia to predict combustion performance of SI engines [
43,
44,
45,
46].
In this model, the engine configuration settings are according to its detailed specifications, such as basic geometry of pipes, engine displacement, cylinder bore, connecting rod length, valves, etc. The heat transfer process in ICE can be classified into thermal conduction, thermal convection, thermal radiation and thermal vaporisation. The heat transfer submodel is set to be ‘Woschni model’, which was put forward to provide an instantaneous, spatially averaged heat transfer coefficient for the evaluation of heat transfer rate to the cylinder walls [
47,
48,
49]. Some key correlations in the ‘Woschni model’ are given by Equations (3)–(5).
Here, is total heat transferred; is heat transfer coefficient; is heat absorbing area of the surfaces; is in-cylinder mean gas temperature; is mean surface temperature of ; is CA; is cylinder bore diameter; is cylinder pressure; is in-cylinder mean gas temperature; is a constant related to airflow velocity coefficient; is mean piston speed; is gas velocity caused by combustion; is a constant related to combustion chamber; is cylinder volume; is cylinder pressure when the engine is started. , and is cylinder temperature, pressure and volume at the beginning of compression, respectively.
The ‘SI turbulent flame combustion model’ is chosen and set up for the submodel of combustion and heat transfer. This submodel is commonly used to predict the in-cylinder burn rate, knocking occurrence and emissions for SI engines [
43]. Moreover, the flame-wall interactions can be calculated in this submodel according to the settings of cylinder geometry, spark location, head region and piston cup. Some key formulas are presented as Equations (6)–(9).
Here, is laminar flame speed; is laminar flame speed under the condition of 298 K and 101.325 kPa; is unburned gas temperature; is 298 K; is temperature exponent; is pressure; is 101.325 kPa; is pressure exponent; is maximum laminar speed; is laminar speed roll-off value; is in-cylinder equivalence ratio; is equivalence ratio at maximum speed; is dilution effect; is mass fraction of the residuals in the unburned zone; is dilution effect multiplier.
2.4. Model Validation
Figure 5 and
Figure 6 show the model validation by comparing cylinder pressure and Heat Release Rate (HRR) between experimental and simulation results at 2000 rpm-10 bar under CAC mode with GDI, P
50-G
50 and PFI three injection strategies. The time-step sensitivity has also been considered to assure the accuracy of the simulation results further. It can be observed that the cylinder pressure and HRR curves in experimental conditions have a good match with those of simulation. Furthermore, the magnitude and position for the peaks of curves are correctly predicted. Therefore, this model is eligible to make a reasonable prediction in this study.
3. Results and Discussion
3.1. Comparison between CAC and OFC
Figure 7 presents the comparison of HRR between CAC and OFC under 2000 rpm-10 bar. The spark timing is optimised to be the minimum advance for Maximum Brake Torque (MBT) or Knock Limited Spark Advance (KLSA) for each condition.
It can be seen that the peaks of HRR under OFC are generally about 8 degrees advanced than CAC. The peaks of HRR curves decrease from around 110 J/CA of CAC to 90 J/CA of OFC. This is mainly because the engine knocking would occur with the excessively advanced sparking timing at 2000 rpm-10 bar under CAC, and it can be easily avoided since the thermal diffusivity of CO2 is much lower than that of nitrogen.
Figure 8 and
Figure 9 shows the comparison of BSFC, spark timing,
and
between CAC and OFC. It can be seen that BSFC is 317.269 g/kWh, 317.519 g/kWh and 317.524 g/kWh for GDI, P
50-G
50 and PFI, respectively. There is a significant increase of around 68 g/kWh compared to that of the CAC mode. This is mainly because the thermal diffusivity of CO
2 is much lower than nitrogen, resulting in a great difference in flame transmission, which would increase the heat loss under OFC. Even though there are also offset effects caused by the higher thermal conductivity of CO
2 than that of nitrogen.
The behaviour can be further explained by the significantly advanced spark timing and prolonged
under OFC compared to CAC. It is similar to some previous findings of oxy-fuel burners, which conclude that the ignition delay of a mixture of O
2/CO
2 is significantly higher than that of an O
2/N
2 mixture with a similar oxygen fraction [
50,
51].
Besides, there is no significant difference in between OFC and CAC. In the meantime, the of PFI under OFC is 25.5 degrees, which is a bit shorter than 26.8 degrees of GDI and 26 degrees of P50-G50. This can be attributed to that compared to P50-G50 and GDI, a more homogenous gas-fuel mixture under PFI strategy can help accelerate flame development.
3.2. Effects of WI Mass on OFC Performance
The effects of are discussed in this section, which includes the analysis of BSFC, maximum cylinder pressure (), , HRR and in-cylinder temperature under three injection strategies (GDI, P50-G50 and PFI). Meanwhile, in order to make the research objective clear and straightforward, and is fixed at −60 °CA and 298 K, respectively.
As shown in
Figure 10, BSFC is quite sensitive to
. With the increase of
from 0 to 0.2, there is a small decrease in BSFC regardless of the injection strategy. The lowest BSFC is each 316.647 g/kWh, 316.497 g/kWh and 316.358 g/kWh for GDI, P
50-G
50 and PFI, which has a slight saving rate of 0.196%, 0.322% and 0.367% than that of
= 0, respectively. This can be attributed to the increased working medium and oxygen atom concentration from injected water.
However, an overall growth trend can be observed in BSFC with the further increase of from 0.2 to 0.9, which is an increment of 4.29%, 3.6% and 3.77% for GDI, P50-G50 and PFI, respectively. Moreover, by further increasing from 0.9 to 2.0, the trend of BSFC would become quite stable. This indicates that an excessive amount of injected water will increase BSFC. However, the deterioration is not serious due to water’s positive effect on combustion by the increased working medium and oxygen concentration.
The variations can be further explained in
Figure 11 and
Figure 12, which show the effects of
on combustion characteristics by
,
, HRR and in-cylinder temperature. It demonstrates that the changing trends in combustion characteristics are similar for GDI, P
50-G
50 and PFI. With the increase of
from 0 to 0.6,
has a reduction of around 4.5 bar and
is delayed by around 2.5 degrees. With further increased
, both
and
remain broadly stable with a minor fluctuation. In the meantime, HRR and in-cylinder temperature are also sensitive to
. Under all the three injection strategies, as the
increases from 0 to 1.0, the peak of HRR is postponed by around 1 degree whilst the peak of in-cylinder temperature reduces about 180 K. Afterwards, HRR and in-cylinder temperature will be less affected by further increasing
.
3.3. Effects of WI Timing on OFC Performance
Figure 13 presents the effects of
on BSFC under three injection strategies (GDI, P
50-G
50 and PFI). Meanwhile,
is held constant at 298 K in this section.
On the whole, the relatively lower BSFC generally appear with low . The lowest BSFC appears on the operating condition of ‘ = −70 °CA, = 0.1’, ‘ = −70 °CA, = 0.2’ and ‘ = −70 °CA, = 0.2’ for GDI, P50-G50 and PFI, respectively. The corresponding values are each 316.638 g/kWh, 316.383 g/kWh and 316.172 g/kWh, which provides a limited benefit of 0.199%, 0.358% and 0.426% than that of = 0, respectively.
Besides, it can be observed that BSFC is less affected by under the conditions of low . On the conditions of ≤ 0.5, the fluctuation of BSFC is generally kept in a narrow range with the delay of from −100 °CA to −30 °CA under all three injection strategies.
Under the conditions of high
(
≥ 0.8), BSFC is strongly affected by
. As
postpones from −100 °CA to −30 °CA, BSFC has a sharp decrease of more than 6 g/kWh. Furthermore, this trend becomes more obvious under GDI injection strategy. Because the negative effects on the gas-fuel mixture from the vaporisation process of injected water are a bit stronger under GDI. The variation of BSFC can be attributed to the combustion characteristics, which are presented with
,
, HRR and in-cylinder temperature in
Figure 14 and
Figure 15.
As shown in
Figure 14,
shows a monotonic increase with the delay of
from −100 °CA to −30 °CA. The decreased tendency is more apparent under the conditions of
= 1.0, particularly with GDI strategy. In the meantime,
generally shows a decreasing trend to around 5 °CA at
= −30 °CA, which is also helpful to improve fuel efficiency.
Figure 15 shows the effects of
on HRR and in-cylinder temperature under GDI with
= 1.0. With the postpone of
from −100 °CA to −40 °CA, the peak of HRR is advanced by 4.5 °CA, and the peak of in-cylinder temperature is significantly increased by 247 K. With the delay of
, the improvement in combustion performance is mainly because the cooling effect is getting weaker by reducing the period of water vaporisation.
3.4. Effects of WI Temperature on OFC Performance
Figure 16 shows the effects of
on BSFC under GDI, P
50-G
50 and PFI injection strategies. In the meantime,
is fixed at −60 °CA in this section. It can be seen that BSFC is not sensitive to
, it generally has a small decline with the increase of
from 298 K to 368 K regardless of the injection strategy. The most significant decline is just around 3.5 g/kWh under
= 1.0. Besides, the lowest BSFC are each 316.291 g/kWh, 316.068 g/kWh and 315.884 g/kWh, providing a limited saving rate of 0.308%, 0.457% and 0.516% than that of
= 0, respectively.
Figure 17 presents the effects of
on
and
under
= 0.2, 0.6 and 1.0. The variation of
and
is less affected by
compared to the effects of
or
. By increasing
from 298 K to 368 K,
just presents an increase of around 0.5 bar, and whilst
would be advanced by about 0.25 degrees. This is mainly because that by increasing
, the suppression of combustion would become slightly weaker during the process of heat absorption by the cooling effect of water. Moreover, increasing
would accelerate the vaporisation rate of water, leading to fewer negative effects on combustion [
52].
This can also be explained by
Figure 18, which is one example to show the effects of
on HRR and in-cylinder temperature. It shows that by increasing
from 308 K to 368 K, the peak of HRR and in-cylinder temperature have a slight increase of 0.47 J/CA and 19.5 K, respectively.