1. Introduction
Modeling thermal engines with simplified processes in a closed layout (control mass) is at the roots of Thermodynamics. This is so due to the importance of prime movers for our society, science, and technology, being these models named thermodynamic cycles (e.g., see Moran et al. [
1]).
Historically, the air-standard Otto cycle tries to idealize the processes in external or Internal Combustion Engines (ICE) of the reciprocating type. It pursues obtaining both the fluid state at key points in the cycle and the figures for power and efficiency. Two isentropic and two constant volume (isochoric) processes enclose this cycle. A non-reacting perfect gas constitutes the constant mass working substance. In this cycle, the isentropic compression starts from maximum volume (Bottom Dead Center or BDC) and ends at the Top Dead Center (TDC), where volume is at a minimum, in what is called the compression stroke. Afterward, heat delivery at constant volume idealizes a fast-heating process. An isentropic expansion follows, ending with the same volume at BDC. Extraction of heat at constant volume allows for the recovery of the initial state, closing the cycle. This last process is unreal for ICEs, as there exists a gas-exchange process.
In the air-standard Diesel cycle, the only difference from the Otto variant consists in modeling the heat delivery at constant pressure (isobaric) (e.g., see Heywood [
2]).
The conventional Dual cycle is a combination of Otto and Diesel cycles, being more realistic. Heat delivery starts at constant volume, if large enough, up to a maximum pressure, which comes from structural constraints (pressure limited cycle). Afterward, heat is delivered at constant maximum pressure (e.g., see Taylor [
3], Stone [
4], and Ferguson and Kirkpatrick [
5]).
These cycles form the family of air-standard cycles, as cold-air properties are used to model the working gases. However, as both internal combustion and elevated temperatures increase the specific heat of the gases, and this implies a lower heat ratio
γ =
cp/(
cp −
Rg) (e.g., see Reference [
6]), it is possible to empirically use a constant value different from air (e.g., see Heywood [
2], Stone [
4], and Ferguson and Kirkpatrick [
5]) to increase accuracy, but the same for the whole cycle what is not backed with the physics of the different processes involved.
These air-standard models and their variants, such as those considering compression and expansion irreversible processes, have helped the researchers to advance in the study of ICE cycles, Zhao and Chen [
7], Ge et al. [
8], and Ozsoysal [
9] among others. As an example of recent researches, Wu et al. [
10] can be cited, which refers to a large number of previous studies on what is called finite rate thermodynamics. Thermodynamic cycles are a matter of study in higher engineering sciences education, in Thermosciences related courses, especially the simpler ones, such as Otto and Diesel (e.g., see Moran et al. [
1]). Further evolution of these models allows us to take into consideration the unavoidable heat losses from the elevated temperature gases to the walls (e.g., see Hou [
11,
12], among others).
The air-standard cycles yield thermal efficiencies that are not sensitive to the fuel–air ratio,
, which is a limitation. As an example, the Otto cycle efficiency depends only on compression ratio,
r, and on perfect gas specific heat ratio,
γ, Equation (1).
As commented above, the increase in temperature caused by compression, and the combustion-related composition change, indicate that further step is possible with little complexity, making γ change along with the cycle processes. This is one of the improvements that the model developed in this paper incorporates, yielding analytical results, not found in the open literature.
To further improve the predicting capability of the model, constant pressure intake and exhaust gas exchange processes allow us to include the main effects of the design and operating parameters of the four-stroke ICEs working. Moreover, a model like this allows estimating the Exhaust Gas Temperature EGT, of paramount importance for the widespread use of turbocharging, as well as exhaust waste heat use. This adds direct knowledge for the EGT control and capabilities estimation, without having to rely on global energy balances with generic empirical information. This paper offers an EGT analytical expression depending on the basic parameters of the cycle.
In contrast with the model offered in this paper, more complex models are available, including proprietary software packages either zero-dimensional or multidimensional and even Computational Fluids Dynamics (CFD) applications at the highest end. They require obtaining expensive computer applications. In the low end, some books, e.g., Stone [
4], offer computer codes in specific computer languages. The drawback of these options is that they do not offer the analytical expressions that synthesize the effect of influencing parameters, which are provided in this work.
This paper develops an original ICEs model, not available in previous literature. It offers to the reader the possibility to implement the model in its own accessible calculation tools, either for prediction, diagnostics, control, or teaching, even using generic tools such as Microsoft(TM) Excel® or alike, or even by hand as most of the resulting expressions are analytical explicit.
The model offers a significant advantage for estimating the gains for the current ICE transformations to sustainable fuels, aiming at increasing energy efficiency and carbon emissions reductions, as it is based on fundamental principles, with little empirical information.
1.1. Proposed Improvements
In the fuel-air cycle models, e.g., Taylor [
3] and Heywood [
2], just to cite classical books, the composition of the trapped gas is the result of a constant pressure non-reacting intake process, and burned gas properties are the result of thermo-chemical equilibrium composition of gases with temperature varying specific heats.
Imposing chemical equilibrium conditions at points of the cycle requires the repeated solution of a large system of stiff non-linear algebraic equations that makes specialized computer programs necessary, e.g., Gordon and MacBride [
13], and more recently Jarungthammachote [
14]. Reputed books, such as Heywood [
2], and Stone [
4] among others, offer the resulting gas properties for this calculation but no correlation for a simplified calculation of gas properties. They consider temperature and relative mass fuel–air ratio
as independent variables. While the pressure is a secondary variable for gas properties, only relevant because some product reactions shift as a result of thermal dissociation for
. Glassman [
15], among others, describes in detail this dissociation of large molecule species into both smaller ones (fewer atoms) and radicals at elevated temperatures. On the other hand, typical oil-based fuels are examples in those studies, of the type C
cH
h, and sometimes they highlight the small effect of the hydrogen to carbon,
h/
c ratio (e.g., see Glassman [
15]) what is relevant for the upcoming renewable fuels. Some computer codes, such as NASA CEA [
16], allow for the online calculation of thermodynamic properties of equilibrium combustion products.
The proposed approach in this work avoids these difficulties as thermodynamic cycles do not aim at chemical composition but cycle performance. In the herewith proposed model, the chemical equilibrium effects are included with variable specific heats ratio γ and molar mass, mm, depending on fuel–air ratio, Fr, and temperature, . Results also show that the effect of the different compositions of petrol and Diesel fuels is minor, especially if correction is added for the hydrogen to carbon moles, h/c ratio, which is the case. For other non-conventional fuels, such as NH3, it is necessary to generate the corresponding data correlation.
It would be of high value to have a simple model for cycle analysis, where the variation of γ is a function of Fr besides T, fuel/air composition, an even . This is especially important for the up-to-date lean-burn engines, which offer high energy efficiency. This model could also easily incorporate CO2 capture proposals that substitute N2 with CO2, oxy-combustion. By in-advance generating the database for properties and obtaining correlations, the model can include these innovations. This paper is the first step in this direction, as only atmospheric air is considered as the oxidant.
This paper reveals that the results of such a model are explicit formulae, specifically but not exclusively for work and efficiency of reciprocating ICEs. This makes optimization studies possible with a better model than air and fuel-air cycles, requiring reduced computing effort, in addition to other advantages.
1.2. Combustion Process
Internal combustion can be based on applying an energy balance to a Control Mass (CM) where there is a simultaneous change in the thermal and formation internal energies (
UT and
Uf respectively), as well as mechanically reversible work and heat losses
Q < 0 (see Equation (2)).
For ICEs, reactants are a mixture of air, which has null energy of formation (N
2, O
2, and Ar mainly) at molecular standard state, Stone [
4], with a fuel compound, which currently incorporates relatively small energy of formation, Glassman [
15]. Products are a mixture containing species of large negative energy of formation. For a fuel based on Hydrogen and Carbon, the major species are CO
2 and H
2O. This large ∆
Uf < 0 generates a ∆
UT > 0.
These combustion composition changes, especially near stoichiometry, impair the air-standard cycles hypothesis, not yielding accurate enough results when modeling ICEs. This work includes the composition change in the model, allowing us to consider the effect of fuel-air ratio through the variation of
γ and molar mass,
mm. In the products of combustion, triatomic molecule species are present, CO
2 and H
2O, reducing
γ for the mixture, e.g., Glassman [
15] and Heywood [
2]. On the other hand, their dissociation, which is an endothermic reversible process progressively above 1500 K, Heywood [
2], because of the temperature increase after combustion, in the order of 1000 to 2000 K, further increases the specific heats, especially for low pressures, as Heywood [
2] shows.
1.3. Gas Exchange Process and the Miller Cycle
The use of a CM paradigm is customary in the study and optimization of ICEs thermodynamic cycles, and especially in the recently much-studied Miller cycle, originally revealed in Miller [
17]. For shortness, and only as a representation of the wide effort of thermodynamic cycle modeling, recent papers by Gonca [
18] and Zerom and Gonca [
19] show the state of the art of Miller cycle optimization using the CM paradigm. They include many references. In that case, using specific heat ratios only variable with temperature, and including wall heat transfer. Those papers show the energy efficiency benefits of using thermodynamic cycles as an optimizing tool.
A drawback of the CM paradigm (closed cycle), up to now described, is that a virtual heat extraction models the exhaust process, disregarding the gas exchange processes of reciprocating ICEs. Although that model is equivalent in terms of specific work transfer to the piston, it precludes knowing how much mass traps the cylinder at the end of the intake process. Moreover, it does not provide the trapped mass chemical composition, neither data on the turbocharger performances. These variables are relevant for engine performances and emissions, as performed by Zerom & Gonca. [
19]. The open-cycle model (Control Volume CV) accomplished in this work allows for such an enhanced description of the cycle. The enhancements provide analytical expressions for the effect of external temperature and pressure of the air supply, the addition of Exhaust Gas Recirculation (EGR) for pollutant nitrogen oxides (NO
x) reduction, and the effect of residual gas remaining in the cylinder dead space from the previous cycle. Moreover, inlet wave action improvements can be included to improve cylinder air filling, as is widely used nowadays with variable valve distribution.
In the Miller cycle, compression beginning is delayed after Bottom Dead Center (BDC) to reduce trapped mass for operating at partial load, thus having an artificially reduced compression stroke, Hou [
11], which is called Late Intake Valve Closing (LIVC). Early Intake Valve Closing (EIVC) can also produce similar effects, Miller [
17]. In both cases, external compression increases the trapped mass by increasing the intake density, partially substituting the internal compression. A lower temperature during combustion is the result when cooling after external compression, namely intercooling. This allows us to reduce thermal NO
x production, as Benajes et al. [
20] indicate.
The Miller cycle offers another advantage, coming from the unequal-strokes operation (embedded Atkinson cycle,), allowing us to increase the cycle work and efficiency (e.g., see Chen et al. [
21,
22]). Because of the reduced internal compression, the fixed expansion stroke
becomes larger than the compression one
(overexpansion); being the result of a lower end of expansion pressure
p5,
Figure 1. The now widespread turbocharged Miller cycle has been proposed for using hydrogen as fuel, e.g., Luo and Sun [
23], thus exploring its capabilities for a sustainable future. The higher cycle efficiency results in a lower exhaust temperature, limiting extracting power from an exhaust turbine and/or an Organic Rankine cycle (ORC). Thus, an exhaust temperature model of higher accuracy, but simple enough and retaining dependency on the cycle basic parameters, seems of paramount importance.
The present model incorporates all these effects as it considers an isobaric open process 8-1, shown in
Figure 1. This makes the present model fill one of the gaps in the open literature.
1.4. Article Organization
Section 2 describes the main concepts in the model, highlighting the simplifying hypothesis. There, an expression for the end of intake gas temperature
T1′ is developed, showing the need of calculating the previous cycle residual gas mass fraction
f and its temperature
Tr. This section also develops the theoretical and actual exhaust temperatures
Tex, and
Tex,ac as a function of the exhaust backpressure,
pex, which is controlled by the exhaust cleaning devices, exhaust pipe, and the eventual turbocharging turbine.
Section 3 develops the cycle inner processes, from intake to exhaust, giving the thermodynamic state functions. It continues providing the explicit expressions of useful work
W. A compatibility equation with the amount of fuel determines the heat released,
Q. Both parameters allow us to obtain an explicit expression for the cycle efficiency,
η. Having solved the cycle, expressions for the residual gas temperature,
Tr, and residual gas mass fraction,
f, close this section.
Section 4 performs some illustrative parametric variations. It starts with the simplest application of the model, using constant a priori fixed values for
γ and
mm and neglecting mass change in the closed part of the cycle internal processes. It continues revealing the effect of compression ratio
and combustion pressure ratio
, especially when there is a composition change,
γ ≠
γb because of fuel–air ratio
F > 0. The classical effect of cutoff ratio
β is offered afterward. An analysis of alternatives for partializing load follows in that section, showing the superiority of unequal-strokes operation (
r >
re). The full expansion ratio Atkinson cycle is determined and its merits are discussed afterward. This section, as a checkpoint, compares the model expressions with simpler models, reaching the same results.
Within
Section 4,
Section 4.2 introduces variable properties results, highlighting the effect of the relative fuel-air ratio
Fr. A discussion for reaching the maximum allowed pressure,
pmax, closes this section.
Section 5 concludes by resuming the paper contributions and novelties, highlighting the model’s simplicity and flexibility.
2. Materials and Methods
The proposed open Dual cycle is a 0-dimensional model following a cyclic evolution in a p-V diagram for four-stroke engines. It is based on the following assumptions.
Working gases are ideal mixtures of non-reacting ideal gases with constant properties although process average temperatures determine their thermal properties, and . The trapped mass, m, is a mixture of air and, in due case, indirectly injected fuel (before Intake Valve Closing IVC), EGR, and residual gases from the previous cycle, such that its proportion is defined as f ≐ mr/m.
At TDC, the volume is minimum
Vc. Adding the engine displacement
VD, we obtain the maximum volume
V1 =
V7 at BDC.
Figure 1 shows that compression starts when IVC, at an intermediate point 1′. These define the effective compression ratio
re ≤
r (see Equation (3)).
When valves are open, the flow through them suffers stagnation pressure losses so that inside the cylinder, pressures are
p′in and
p′ex different to the pressures at the intake and exhaust pipes,
pin and
pex,
Figure 1. Properties of trapped gas inside the cylinder, before combustion, have no indicating subscript, such as
γ,
cp,
n,
Rg, etc. These magnitudes have a “
b” subscript (burned) after combustion to highlight the composition change.
External ram-effect in the intake collector, at the tuning speed, instantaneously increases the intake pressure pin isentropically up to p1′ at V = V1′ corresponding to IVC, by acoustic wave action, if considered in the engine design. πu = p1′/p′in > 1 empirically evaluates this phenomenon. πu ≈ 1.15 seems an upper boundary.
Internal compression from point 1′ to TDC (point 2) proceeds, either isentropically with constant
γ or irreversibly with an equivalent polytrophic exponent
n besides no mass losses,
Figure 1. The imposed constant polytrophic efficiency of the compression process
η∞,1′-2 allows us to calculate
n. Polytrophic efficiency is considered a better option than isentropic efficiency as it is constant for any pressure ratio, Wilson and Korakianitis [
24] with constant elementary efficiency
η∞ (see Equation (4)).
This considers either heat gain or internal degradation, and heat transfer from/to the walls. Heat gain or internal irreversibility corresponds to
n >
γ or the equivalent 0 <
η∞,1′-2 < 1. Heat loss corresponds to 0 <
n <
γ or the equivalent
η∞,1′-2 > 1. The strange case of cooling beyond the initial temperature (temperature decrease) would correspond to
n < 1;
η∞,1′-2 < 0. In what follows,
γ is retained, but if required it can be replaced by
n on the exponent of Equation (10) and those continuing. This would be convenient for simulating a cold engine. With a mixture of non-reacting ideal gases,
γ is a function of temperature, so that an intermediate estimated temperature between start and end of compression can be taken for a
γ constant average value. A linear relation approximates the dependence of
γ with temperature and composition for IC engines, such as the one proposed in
Appendix C. In conventional engines running hot, the heat gain from the walls at the beginning of compression is in part compensated by heat loss at the later stages, so that an overall isentropic process is valid.
The location of the composition change during combustion (points 2 to 4 in
Figure 1) does not affect the result of cycle performance, as (i) work is based on the integration of
pd
V and (ii) heat released to the gases is based on the amount of fuel burned when reaching point 4. This concept helps in obtaining analytical results and it is described in what follows.
Specifying the combustion initial state and the gas thermal properties at point 2 in the cycle, mass and energy balances, and the ideal gas equation, allows us to determine
V4,
T4, and
m4, with specified gas properties after combustion, namely
mm,b,
γb, and
p4. Instead of this single-pass calculation, three successive processes are considered: composition change 2-2b, constant volume 2b-3, and constant pressure 3–4 heat releases, to reach the same point 4,
Figure 1. This allows us a better insight into the processes. This way, there is a correct systematic evaluation of the evolution between points 2 and 4, in terms of initial and final thermodynamic states, total work obtained, and total heat release. About the intermediate fictitious point, 2b, the only caution is to keep in mind that
p2,b, and
T2,b are not real but a convenient intermediate point for calculations.
At TDC, the composition change, due to combustion, is introduced in the model through the commented fictitious point, 2b, in an instantaneous single step, from unburned to burned gas mixture. This is equivalent to a step from
n and
γ to
nb and
γb respectively, along the constant volume process 2-2b in
Figure 1. As stated in the previous paragraph this generates no error as processes from points 2 to 4 in
Figure 1 do not use
n,
γ,
nb nor
γb in the calculations. From points 2 to 2b, there is still no heat release nor work so that internal thermal energy must be constant, here neglecting the enthalpy of the directly injected fuel. This allows us to calculate
T2,b, and
p2,b just by adding a mass balance and the ideal gas relations, as seen in Equation (5).
The proposed correlations in
Appendix C allow us to calculate the changes in
mm and
γ for current fuels.
Both
γ and
γb depend on temperature so that considering average values between the corresponding cycle points, the issue of variable specific heats can be included approximately.
γ can be shared by the one used in compression, which can be calculated at an estimated average temperature between the start and the end of compression (
T1′ +
T2)/2. With the same idea, (
T3 +
T4)/2 determines
γb. A priori values of
γ and
γb allow us to approximate
T2 and
T4, respectively. Al-Sarki et al. [
25,
26] used a high-accuracy approximation to variable gas properties, giving a convenient formulation of the temperature effect on specific heat ratio, but not including
nor
. The effect of the injected fuel sensible enthalpy is usually negligible. Latent enthalpy, if not included in
LHV, can be considered, if desired, by including the factor [1 +
C F hfv/(
cvT2)] in the temperature and pressure ratios in Equation (5). This detail is not included in the present paper as it focuses on the most impacting combustion effect on thermal properties.
After compression and composition change 2-2b, the lower heating value of the fuel
LHV is released, along with the Dual combustion, process 2b-3-4 in
Figure 1. In a real engine, some fuel remains unburned or burns partially, so that an internal combustion efficiency is considered
ηcom,int, e.g., Heywood [
2]. In our case, it includes the heat absorbed by dissociation.
In a normally operating engine, heat loss to the walls is highest during the combustion process of the cycle, owing to the high gas temperatures, density, and turbulence, so that another reducing factor
Jcom includes this effect, such as in Hou [
12]. It is current practice to consider a heat loss proportional to the average temperature during combustion (see Equation (26)). This allows us to perform optimizations of efficiency and work by varying basic cycle parameters, such as the compression ratio. Zao and Chen [
27] and Ge et al. [
28] give recent and comprehensive reviews on this class of models.
Following the classical Dual cycle model, combustion develops at constant TDC volume until the maximum pressure,
pmax, is eventually reached. If this happens, then, combustion continues to maintain this pressure until all the fuel releases its heat. Pressure ratio
α =
p4/p2 ≥ 1 and the cutoff ratio
β =
V4/
Vc ≥ 1 specify the shape of combustion,
Figure 1. They are linked to maximum pressure and amount of burned fuel in
Section 3 (see Equation (27)).
Expansion of burned gases proceeds with constant mass and no reaction down to BDC with the option of including an expansion polytrophic efficiency
η∞,4–5 (see Equation (6)).
Heat loss corresponds to nb > γb or the equivalent η∞,4–5 > 1. Heat gain, internal mechanical dissipation, or heat release, correspond to nb < γb or the equivalent η∞,4–5 < 1.
As commented for
γ during the compression stroke,
γb is retained in what follows instead of
nb, since burned gas expansion, with correctly operating conventional engines, can be approximately described by an isentropic process with specified initial and final volumes. This is widely recognized, e.g., by Taylor [
3] and Heywood [
2], among others. In real engines, the partial balance between heat release by residual combustion jointly with species recombination and heat loss to cylinder walls near TDC can explain this phenomenon.
Here, the presence of vestigial unburned gases, at the end of combustion, is neglected for properties changes.
A constant volume blowdown process happens spontaneously, 5–6. As a result of gas discharge, the pressure in the cylinder reduces to p′ex, a slightly higher pressure than the one in the exhaust collector pex, owing to valve and pipe empirical pressure losses, which is an option to include. This pressure is kept constant in the cylinder during the exhaust stroke up to TDC, while the piston forces the residual gases to exit in the process 6–7.
At TDC, the exhaust valve closes, and the intake valve opens; a mixing process 7–8 occurs between residual gases and fresh gases from the intake manifold, formed by air and eventually fuel and EGR. Pressure in the cylinder changes instantly to p′in, at constant volume. Residual gases blow out of the cylinder or fresh gases enter the cylinder, except when intake to exhaust pressure ratio is unity, rin = p′in/p′ex = 1. Intake stroke 8-1-1′ allows us to reintroduce all the residual gases that eventually have left the cylinder to the intake manifold and, later, a mass of fresh gases enter the cylinder, min. p′in is slightly lower than the intake pressure pin, owing to viscous irreversibilities in valves and pipes. Having passed the BDC, the intake valve closes the cylinder at point 1′, with trapped mass, m.
The parameters defining the open part of the cycle are
p′in,
rin, fresh gases temperature
Tin and properties of the fresh gases
mm,in and
γin.
Tin is the result of external compression ∆
Tc, intercooling ∆
Tint, evaporation of indirectly injected fuel ∆
Tev (
C ≠ 1), heat transfer to the walls ∆
Tht, and EGR ∆
TEGR. All of them can be calculated explicitly, as seen in Equation (7). The result is frequently
Tin ≈
Tatm.
A mass and energy balance for the variable size control volume (CV) inside the cylinder, with a mass exchange, according to
Figure 2, determines the temperature of the mixture at point 1′, see Equation (8). Moreover, Δ
m indicates the mass increment due to the pulse pressure ratio
, corresponding to the external ram-effect at the tuning speed.
Vu is the volume occupied by Δ
m inside the cylinder. The friction losses were neglected for the calculation of the intake enthalpy of that pulse. Residual gases properties are denoted with an “
r” subscript (
cv,r, and
γr), instead of the burned “
b” subscript, because the temperature of the residual gases is significantly lower than the average value used for the burned gases expansion, although
can be assumed for the molar mass.
considers that the inlet process occurs in two succesive phases, firstly at
during inlet stroke and secondly at
amounting
, as a result of the pressure step driven by wave action.
Below, Equation (31) shows that the temperature of residuals,
Tr, is proportional to
T1′; thus, an alternative expression to Equation (8) can be elaborated, as shown with Equation (9).
The cylinder residual gas mass fraction,
f, is calculated below as part of the cycle, in Equation (11) or in a more elaborate fashion, in Equation (30). Specific heats
cv are for either the mixture, residual, or intake of fresh gases. It can be calculated following
Appendix A and
Appendix C. Alternatively, the generally low value of
f (normally some %) and a moderately low value of the fuel–air ratio make the approximation
cv,r =
cv =
cv,in and
γin =
γ good enough for using Equations (8) and (9). The general effect of hot residuals is an increase of
Tin in the range of 5 to 30 K.
The mass of fuel inside the cylinder
mf is determined in Equation (10), considering that a fraction of the intake of fresh gases
f is residual gas. The parameter
EGR, typically < 0.3, quantifies the external recirculation level. Moreover, 0 ≤
C ≤ 1 is the fraction of the total fuel that is directly injected into the cylinder, assumed at the end of compression. The remaining is injected into the intake manifold or intake port.
Note: (in case is given referred to air mass).
The blowdown and forced exhaust 5-6-7 to a constant external pressure
pex in the exhaust collector, upstream of the turbocharging turbine, determines the theoretical exhaust temperature
Tex. Using
Figure 3, mass and energy balances apply considering
Vex as the total volume of the gases in the exhaust manifold, for both EGR and toward the turbine. They allow us to calculate the residual mass that remains in the cylinder
mr. In Equation (11),
γr ≥
γb is allowed because of lower temperatures, not affecting the cycle calculations.
Equation (12) reduces to what is deduced in Ferguson and Kirkpatrick [
5] for
υ = 1,
γ =
γr, and
mb = m. Equation (12) formulates a CM energy balance between initial and final states, points 5–7. The mass contained in the cylinder at point 6 is approximately proportional to
mr and not to
mb (
m6 ~
rmr). As the process from 5 to 6 is too fast to be relevant regarding heat transfer, the cooling, due to heat transfer to cylinder walls from state 5 on, is proportional to
mr in Equation (12). The empirical value
ν takes into account this proportionality.
Equations (12) and (13) allow us to calculate the exhaust temperature,
Tex, in Equation (13).
The rightest expression in Equation (13) coincides with the well-known model in Taylor [
3].
T5 and
p5 are a result of the cycle, and
pex depends on the permeability of the turbine. The actual exhaust temperature
Tex,ac is a result of both oxidation of unburned gases in the exhaust manifold during blowdown, and heat transfer to the manifold walls. Two combustion efficiencies determine the increase in temperature, because of internal combustion,
ηcom,int, excluding dissociation for accuracy, and at the exhaust manifold
ηcomb,ext, jointly with an unburned gas heating value
LHVun ≅
LHV. The cooling is modeled by a heat transfer Newton equation, using an average wall temperature
TW, see Equation (14).
These effects are opposite and normally of the same order of magnitude so that ignoring both processes is acceptable in a simplified analysis. As guidance, the classical reference Taylor [
3] gives experimental values. Ferguson [
5] gives values of
hex coming from the Woschni correlation. Woschni correlations serve also to calculate υ for Equation (12). The value
seems suitable in conventional circumstances if a better recommendation is lacking.
3. Cycle Calculation
Once the intake and exhaust processes and the framework of the model are solved, the calculation of the state at the internal points is straight ahead. The cycle relies on the basic parameters
r,
re,
α,
β,
rin,
p′in,
EGR,
Tin, and the non-dimensional parameter
LHVvηcom,int,vJcom/(
RgT1′) that Equation (28) introduces. As it is shown below,
α and
β are dependent on
Fr through the fuel compatibility equation, Equation (28), so that
Fr could substitute one of them plus data on the fuel and air to determine
Fs (
Appendix D).
Fr jointly with
pmax can substitute both,
α and
β parameters. Equation (11) or, in a more elaborate fashion, Equation (30) links the residual mass fraction,
f, to the basic parameters. Equation (8) links
T1′ to the temperature of intake fresh gases supplied to the engine
Tin and the basic parameters. Numerical data from fuel and air,
Appendix C, must be added for
γ,
γb,
Rg, and
Rg,b, which are also dependent on the basic parameters.
As composition change happens only in transformation 2-2b the sub-index “T” will not be used any longer in the energy balances when following Equation (2).
Constant Volume Combustion
Constant Pressure Combustion
The maximum temperature of the cycle is
T4, which could be a limit for
re in combination with fuel–air ratio (e.g., see Ozsoysal [
9]).
Expansion
The isentropic exponent for expansion is again
γb. Accepting a different average temperature for
γb than during combustion, a higher accuracy could be gained.
Exhaust Blowdown
The process inside the cylinder is an isentropic expansion with
γb, at constant volume and with mass outflow. Outside the cylinder, the expansion is irreversible, but this is irrelevant for cycle calculations. Choosing a higher value
γr >
γb because of the lower temperature would increase accuracy.
Exhaust Stroke
The process inside the cylinder is a volume displacement at constant pressure with mass outflow. υ considers heat losses.
The residual gases are at temperature Tr, as shown in Equation (12).
TDC Mixing
As the intake valve opens, the cylinder pressure equals the intake pressure with a mass interchange with the intake manifold.
T8 would correspond to an isentropic expansion if
rin > 1 and would correspond to a compression with some irreversibility at the intake valve if
rin < 1. It is not modeled as it is not needed for calculating the cycle.
Intake Stroke
The cylinder pressure is constant up to IVC where a jump in pressure,
πu, can happen, due to intake manifold tuning for positive action of acoustic pressure waves and non-steady ram effect.
Compatibility with the Fuel
In internal combustion engines, the fuel causes the internal heat release, as in Equation (26).
LHVv is the lower heating value of the fuel at constant volume, in the range of 40 to 55 MJ/kg for hydrocarbons, Taylor [
3] and Heywood [
2]. For many fuels,
LHVv is close to the corresponding value at constant pressure
LHV, as explained in
Appendix B; but for future synthetic fuels, there can be a sensible difference.
LHV is the common value used as a reference. For lean combustion and hot engine, normally the combustion efficiency
ηcom,int,v < 1 can be close to 1.0, especially for compact combustion chambers and even more for stratified combustion. It falls for near rich lean mixtures and rich mixtures, as there is not enough oxygen for complete combustion (e.g., see Heywood [
2] and Zerom and Gonca [
19]).
Jcom considers the heat losses to the walls during the 2b-3 and 3–4 processes. In these processes, the losses are at the largest rate. During the other processes of the cycle, the heat flux is much lower (e.g., see Heywood [
2] and Hou [
12]). Therefore, the present study assumes that a net heat loss through the cylinder walls occurs only during combustion, excepting when
n ≠
γ and/or
nb ≠
γb are considered, as this implies heat transfer and/or heat release. The value of
Jcom depends on the operating parameters of the engine, mainly it depends on the difference between gas and wall average temperatures and turbulence intensity, besides engine speed as a time scale for heat transfer. Representative values can be in the range of 0.8 to 0.9, although some authors indicate lower values, such as for Otto cycle in Mozurkewich and Berry [
29,
30], reported in Zhao and Chen [
27], although this time for a Diesel cycle. These recommended values for
Jcom could be judged as surprisingly high at a first sight, as heat rejection to coolant amounts typically from 0.2 to 0.4 of
LHV. However, one must consider that a significant part of heat rejection to cylinder walls occurs during the exhaust blow-down and forced exhaust processes. Moreover, this loss includes external walls, such as exhaust valves, ports, and manifold, thus not affecting cycle calculations, which deals with internal processes, but contributing to heat rejection to the cooling circuit.
Numerous studies on cycles that are based on finite-time thermodynamics consider for
Jcom something like what is considered here: an empirical temperature increase during combustion as a net result of heat release and heat loss to walls so that a linear relationship is accepted; for examples, see Klein [
31] and Chen et al. [
21,
22], which offer, for an Otto cycle, the following relation, Equation (26), and Osman [
32] for both cycles.
Hou [
12] offers an equivalent expression for Dual cycles. This kind of relation accepts a heat loss proportional to average temperature during combustion, allowing for a variety of optimization procedures, e.g., Hou [
11], Chen et al. [
21,
22], and Lin et al. [
33]. The present model could incorporate this refinement, offering more accurate models, although the optimization analyses are beyond the scope of this paper.
Alternatively, other studies consider that during combustion, a fraction of
LHV is lost by heat transfer to the walls Osman and Ozsoysal [
32]. This fraction tends to be higher than the values for
Jcom here recommended. The reason is that, in those studies, the compatibility between the increase in gas temperature during combustion and
LHV is performed without considering combustion efficiency or composition change, as Equation (26) shows, with both reducing the end of combustion temperature.
Qcycle in Equation (24) must coincide with the net heat released by the fuel burning, Equation (26). From this, a compatibility condition arises, as seen in Equation (28).
Equation (28) indicates that both α and β increase with fuel-air ratio F, which is the independent variable. It also indicates that both decrease when T1′ increases, which is coherent.
For the Dual cycle, this equation allows us to explicitly solve for β imposing α = αmax, which is an input parameter equivalent to pmax/p2. The correct answer will be with β ≥ 1.0. If the solution yields β < 1.0 this means that all the combustion can be fully developed with V = const., without reaching pmax. For this case β = 1.0 should be imposed and Equation (28) explicitly solved for α. In a real engine, pmax is a result of the combustion development and because of that, it must be specified, using external information.
Net or gross fuel conversion efficiency takes into consideration the fuel delivered, according to Heywood [
2]. Besides this, still, there are two possibilities (see Equation (29)).
This efficiency expression, using Equation (26), results in being only dependent on the basic parameters of the cycle, namely
, and evantually
. According to
Appendix C, the properties dependency is
and
, where
and
depend again on the cycle basic parameters plus the inlet and exhaust thermodynamic states.
can be considered an independent variable or depend the same way.
is an external parameter. This results in a model that allows for more accurate, but simple, optimization studies.
To calculate the efficiency of the cycle alone, effective heat is the energy supplied to it. Thus the actual values of ηcom,vJcom have to be used to obtain Qcycle delivered to the cycle. If the engine efficiency is searched for, all the heat contained in the fuel is considered as supply, so that LHV has to be accounted for, as the energy delivered to the engine. Substitution of Equations (23) and (25) into Equation (29) results in an explicit expression for efficiency that is only dependent on the basic non-dimensional parameters r, re, rin, α, β, γ, and γb (and, eventually, n and nb if polytrophic evolutions are used, instead of isentropic, respectively, in the compression and expansion strokes.
T1′ in Equation (28) and elsewhere requires knowing the residual mass fraction
f. Equation (11) can be elaborated into Equation (30).
This provides f as an explicit function if α and β are used as parameters for the cycle. If instead, the parameters are F and pmax/p2, Equation (28) has to be used, and obtaining f becomes implicit. A preliminarily estimated value for f allows us to start the cycle, providing an estimated T1′ through Equations (7) or (8), as the sensitivity to this parameter is low because f is in the order of 10−2 up to 10−1 for low rin. A better iterative approximation after cycle calculation can be obtained, as accurate as desired through subsequent iterations.
Taking into account the relations obtained in
Section 3, it is possible to develop a compact expression for
T5, and
p5, by collecting the results of the cycle analysis; and from them,
Tr for
γb =
γr, Equation (31). Equation (A7) allows us to calculate
Rg/
Rg,b.
These expressions, with approximate parameters, can also be used to start the cycle. As an example of procedure starting with a given value of F, we have the following: (i) Equation (30) can be used to estimate f, good enough to start iterating; (ii) with this value, Equation (7) or (8) provides T1′ and Equation (13) provides Tex for a given pex; (iii) α and β can be estimated from Equation (28) and a given pmax. For initial iterations, T1′ ≅ Tin + 30 K in a conventional engine operating normally, γ ≅ 1.38, γb ≅ γr ≅ 1.3, and (Rg/Rg,b) ≅ 1. In this example p′ex and Tin are considered data, but also can be iterated if matching of a turbocharger with the ICE is pursued, in case it is present.