1. Introduction
Vapour compression cycle (VCC) is a commonly used technology for cooling and air conditioning [
1]. Global demand for cooling is estimated to increase by three times by 2050 [
2]. Approximately 20 to 50% of energy input to industries is released to the environment through flares and stacks as waste heat [
3]. Additionally, low-temperature heat energy (60–100 °C) is abundantly available from the sources like solar energy and geothermal energy. Non concentrating solar collectors can provide heat with temperatures 75–100 °C [
4]. Therefore, low-temperature heat recovery can lead to increased efficiency and the share of sustainable energy in the global energy mix. Solar thermal energy is an environmentally-friendly source of low-temperature heat energy with good acceptable potential in most of the regions around the globe [
5]. Solar energy is regarded to be the most promising alternative to fossil fuels for desalination and cooling due to the coincidence of high solar availability, cooling demand and severe water scarcity [
6]. The simple ejector refrigeration system has the issue of stability when used with solar thermal energy [
7] and to solve this, many researchers have studied a system combining ejector refrigeration and vapour compression cycle [
8].
A challenge for the adoption of the ejector refrigeration system (ERS) is the availability of the amount of heat to meet the requirement of cooling. An excellent solution is to use a hybrid cooling system which is driven by both heat and electricity. Therefore, such ejector based hybrid systems have been studied and recommended by many studies in recent times [
9,
10,
11,
12].
Sokolov et al. [
13,
14,
15] presented an enhanced ejector refrigeration system (EERS) where they used a compressor to help ejector with the compression process. The electrical compressor was used before the ejector such that the outlet of the compressor was the entrained fluid for the ejector. A similar system was further studied by Arbel et al. [
16] which was designed for about one RT (ton of refrigeration) of cooling by using 23.5 m
2 of solar collector area. Wang et al. [
12] reported experimental results on an EERS for an automobile case such that the exhaust of automobile supplied waste heat and the compressor was run by engine power. They designed the system such that it could operate in three modes: (i) as conventional VCC, (ii) as an ERS, (iii) as a hybrid-EERS. They reported 35% improvement of the coefficient of performance (COP) in an idle condition and 40% improvement in the COP for a driving condition for hybrid-system as compared to the conventional system.
A cascade ejection-compression system (CECS) which was studied by Sun [
17] was designed such that the conventional ERS and VCC were joint such a way that the condenser of VCC acted as an evaporator of ERS. This way the compressor of VCC had less pressure ratio to work with hence increasing the electrical COP. Similarly, Chesi et al. [
18] reported that CECS saves more electrical energy than simple ERS since the entrainment ratio of ejectors increases significantly for a reduced compression ratio. Petrenko et al. [
19] studied a CECS driven by the heat of exhaust gases from an IC engine. The ERS was used as a topping cycle with R600 as working fluid and VCC was used as a bottoming cycle with carbon dioxide as working fluid. The system was designed as small-scale-tri-generation-system with cooling capacity of 10 kW. It was reported that the COP of the bottoming cycle improves from 1.3 to 6.4 when the evaporation temperature varies from −40 °C to 0 °C while the condenser of the bottoming cycle is kept at the same 20 °C temperature.
The literature survey shows that many researchers have reported good performance for hybrid ejector-compressor cooling systems. It is observed that in most of the systems models, the inlet and outlet temperatures of waste heat streams have been not discussed and the system has been modelled by directly assuming the vapour generator temperatures. Due to waste heat-driven systems, the heat is available for free, the focus of system modelling should be on reducing the temperature of the waste stream to as low as possible thereby extracting the maximum amount of heat from the waste stream. Keeping this in mind, it is observed that for various heat-driven systems, the temperature of rejected heat is still quite high which has the potential for further use. Here, in this research, a new system is proposed which extracts heat from the waste stream at two levels; in high pressure (HP) generator and in low pressure (LP) generator such that the heat still available in the waste stream released by an HP generator is used in an LP generator to drive an LP ejector. This novel ejector enhances the vapour compression cycle (EVCC) is described in the next section. It has been modelled in ‘Engineering Equation Solver’ (EES) and its performance results are compared with other systems for a base case. The developed model, in EES, has been used to study the sensitivity of its performance with different operating conditions. It is found that the proposed system is an effective system in extracted more heat from the waste stream and gives better electrical COP.
1.1. Ejectors as Thermal Compressor
Ejectors are thermally driven compressors which can effectively utilize low-grade heat via various system configurations and when used in conjunction with appropriately matched refrigerants or organic fluids. Ejectors utilization has been studied for application in various low-grade heat-driven applications such as ejector refrigeration systems (ERS) [
20,
21,
22,
23,
24], ejector enhanced Organic Rankine Cycles (EORC) [
25], and combined cooling and power (CCP) systems [
26,
27,
28]. Ejectors are reliable and robust and have no moving parts. Therefore, they have low capital and maintenance costs. Ejector systems generally have lower performance [
29] because of the nature of ejector processes of relying on fluid-fluid mixing and entrainment. Furthermore, it is a great challenge to integrate the ejector models with system models due to the complicated and iterative nature of these models. Hence, there is much scope to develop predictive tools and improve the performance of an ejector system.
As shown in
Figure 1, the assembly of ejector can be divided into four main sections; primary nozzle, suction chamber, mixing chamber, and diffuser.
The high-pressure primary (motive) fluid enters the convergent-divergent primary nozzle. The primary fluid accelerates (at the cost of pressure drop) and induces the low-pressure secondary fluid. In the mixing chamber, both the fluids mix to attain the same pressure and velocity. Pressure recovery happens in the diffuser section. It is important to make sure that the Mach number of one is reached at the throat of the primary nozzle after which the flow continues to accelerate through the diverging section of the nozzle to speed greater than sonic velocity. The mixed fluid experiences a shock wave in the mixing section which results in an abrupt increase in pressure and a decrease in velocity and the flow becomes subsonic. The variation of velocity and pressure along the length of the ejector is discussed in detail later in the modelling section.
The area ratio of an ejector is one of the main geometric parameters and is defined as the ratio of areas of diffuser inlet and primary nozzle throat and is given by (Dm/Dt)2. The performance of an ejector is estimated by the value of its entrainment ratio which is the ratio of secondary and primary mass flow rates. An ejector with a higher value of entrainment ratio requires a smaller mass flow rate of the motive fluid and therefore a lower heat input which means higher system performance. Both the operating conditions and the geometry of ejector affect the entrainment ratio. For a given ejector, the entrainment ratio decreases with increasing generator pressure and with decreasing evaporator pressure. Fixed dimension ejectors operate only within a small operating temperature and pressure range. To cater to varying operating conditions, multi-ejector systems can be developed along with suitable control systems, also, ejectors with adjustable dimensions could be developed.
Figure 2 explains the operational modes of a fixed-geometry ejector. For choked flow in any nozzle, the mass flow rate through the nozzle becomes independent of the nozzle exit pressure and does not increase further by decreasing the nozzle exit pressure. The flow rate from a choked nozzle is maximum, hence the name.
The critical mode or the double-choking mode is for the case when both primary and secondary fluids are choked. For this case, the entrainment ratio does not depend on the back-pressure (Pb). Critical back-pressure (Pb*) is the pressure of condenser (or delivery) below which the secondary flow remains choked and the entrainment ratio remains constant for a fixed geometry. Single choking or subcritical mode occurs when the back-pressure is more than the critical back-pressure and the secondary flow is not choked. In this case, the secondary flow rate reduces with increasing back-pressure due to subsonic flow. For very high back-pressure, the entrainment ratio becomes zero and back-flow can occur. For a fixed-geometry ejector, the back-pressure should be kept below the critical back-pressure to make sure that the operation is smooth.
In
Figure 2, the blue lines show the on-design optimal performance of ejector which it can give for different suction pressures. For higher suction pressures, the ejector compression ratio decreases, and its entrainment ratio increases. Every point on the blue line needs a new geometry of the ejector. Point A marked on the middle blue line shows that it is the design point for the ejector whose off-design performance is shown by the black line and whose critical pressure is P
b*.
The designing of ejectors is complicated because of the supersonic flow, turbulent mixing, and shock interactions happening inside the ejectors. The flow patterns inside the ejector may be visualized by computational fluid dynamics (CFD). For the detailed design of ejectors, to achieve optimum performance, either CFD or experimental studies need to be conducted.
The area ratio of an ejector is the most sensitive [
31] factor affecting its performance. As presented by various researchers [
24,
32,
33], when the operating conditions are varied, the area ratio needs to be altered to determine the optimum geometry. A greater value of the mixing chamber diameter will decrease the critical back-pressure and a shorter diameter will decrease the entrained (suction) mass flow, therefore, there is an optimal value of the area ratio [
31,
34]. Another sensitive parameter is the nozzle exit position (NXP). Many studies [
31,
34,
35,
36,
37] have demonstrated that the performance of the ejector is very sensitive to NXP where the entrainment ratio can be changed by up to 40% by changing the NXP.
The detailed design of an ejector’s geometry can be studied by either CFD or experimental investigation. Scott et al. [
29] used the CFD analysis for designing a supersonic ejector for a cooling system. They studied the impact of changing the operational conditions on the critical pressure of condenser and the entrainment ratio. Zhang et al. [
27] also used the CFD analysis to study the fluid processes within an ejector, with a main focus on quantifying the reasons for the energy losses. They also performed a sensitivity analysis of the important parameters for ejector design.
Keenan et al. [
38] proposed an analytical model to evaluate the performance of ejector. Their 1D constant pressure mixing model forms the foundation for the analytical models used in the works of Huang et al. [
30] and Chen et al. [
33]. This constant pressure-mixing theory is applicable when the primary nozzle exit is in front of the constant area section. The disadvantage of Keenan’s model is that it ignores the second choking of the entrained flow as postulated by Munday and Bagster [
39].
Huang et al. [
30] made improvements in the 1-D model by considering the double choking phenomenon. They assumed that the first choking occurs in the primary nozzle when the primary motive fluid flows through the throat of the converging-diverging nozzle. The second choke occurs because of the acceleration of entrained flow from stagnation at the secondary flow inlet. The location of the second choking is somewhere upstream of the constant area mixing chamber. After the primary motive fluid exits the convergent-divergent nozzle, it fans out without mixing with the secondary entrained flow. As a result, the spreading of the primary jet and the wall of the mixing chamber will form a hypothetical converging duct for the entrained secondary flow. This converging duct serves to accelerate the secondary flow to sonic speeds [
39]. Huang’s 1D analytical model of the ejector is mainly derived from isentropic flow equations and requires the ideal-gas assumption. It also requires an iterative process to obtain the values of the entrainment ratio of the ejector. Furthermore, it requires the working conditions and all the primary nozzle dimensions to allow the calculations to be completed. Huang had also validated his 1-D analytical model by comparing it to experimental results to within ±15% error.
On the other hand, Chen et al. [
33] have also proposed improvement to the analytical model. In their model, the double choking phenomenon is also considered, but, however, the model does not requir any geometrical dimensions to calculate the ejector performance. Chen’s model is derived mainly from the momentum and energy equations with the ideal gas assumption applicable for few equations. This model requires double iterations for the two unknown parameters, namely, the entrainment ratio and the pressure of the constant-area mixing chamber. Employing double iteration makes the model more complicated and takes more time for it to converge to a suitable solution. Although Chen’s model does not require geometrical input, the iterations are more complex, and the model is unable to predict off-design conditions.
Presently, there are not any available analytical models which can directly calculate the entrainment ratio values without the need for iterations during the calculations. The new analytical model which is used in this paper incorporates some of the assumptions from Huang’s and Chen’s models and uses EES to use the thermal properties of the used working fluid. This new model can predict the ejector performance (ER) without the need for any iterations. This model has been validated with published data from experimental and simulation works. The details of this new analytical model of ejector can be found in F. Riaz et al. [
40]. Since there are thermodynamic irreversibilities within the ejector due to high-speed mixing and the compression shock, the pressure drop cannot be neglected as it is quite significant. The used ejector model incorporates the pressure drop by taking the isentropic efficiencies into the consideration. The ejector modelling details have been published in our previous paper which has been cited in F. Riaz et al. [
40] where the details of thermodynamic states inside the ejector have been discussed in detail along with the T-s diagram. Additionally, the ejector efficiencies have been calculated based on the optimized CFD based design obtained with ANSYS-FLUENT simulations.
1.2. Description of the Proposed System
The schematic of the proposed novel ejector enhanced vapour compression cycle (EVCC) is given in
Figure 3 and the corresponding T-s diagram is given in
Figure 4.
As shown, the heating water (source heat) is supplied to a high-pressure (HP) generator. The hot water exiting the HP generator is then used by a low-pressure (LP) generator which further extracts heat from the hot water. The HP generator supplies the saturated vapour of working fluid (at state 7) which acts as motive fluid for the HP ejector. Similarly, the LP generator supplies the motive fluid for the LP ejector (at state 9).
The LP ejector entrains the saturated vapour coming from the separator (at state 11) and compresses and delivers it to the condenser. The compressor compresses the working fluid from the evaporator to state 2 which is entrained by the HP ejector. The HP ejector delivers the working fluid to the condenser at the condensation pressure (at superheated state 3). After the condenser condenses the fluid into a liquid, it is divided into three streams going towards an HP pump, LP pump and expansion valve as shown. The novelty of this system lies in using the LP generator and LP ejector such that the LP generator extracts additional heat from the stream exiting the HP generator and the LP ejector shares the compression load with the HP ejector and reduces its compression ratio.
2. System Modelling
The proposed system has been modelled in the EES where the governing equations for all the components have been programmed to calculate the properties of working fluid at all the states as mentioned in the schematic and T-s diagram of the system. R245fa is used as a suitable working fluid and the thermodynamic properties are obtained by built-in data in the EES. The following assumptions have been made:
Pressure losses in fluid flow are neglected in pipes and heat exchangers,
Heat losses are neglected from all components,
Saturated vapour conditions are assumed at the exit of the evaporator, LP and HP generators,
The condenser outlet is assumed to be a saturated liquid.
The heat exchangers—HP generator, LP generator, evaporator, and condenser—are modelled by applying mass and heat balance equations. The saturation pressure values are calculated by using working fluid properties based on the saturation temperatures which are directly entered in the EES code.
As in the T-s diagram (
Figure 4), there are five levels of pressure in the cycle. The pressure of condenser (P
5) is dictated by the ambient (or heat sink) temperature and the pressure of evaporator (P
1) is governed by the required temperature of cooling needed to be produced. For HP generator and LP generator, to calculate the temperatures of heating (source) water, the pitch point temperature difference (PPTD) method has been used. In addition to the kind of working fluid used (R245fa), other inputs required for the EES model are;
The PPTD is defined as the temperature difference which occurs at a point where the difference of temperatures between the hot and cold fluids is at a minimum. For HP-generator, the PPTD occurs at the state 7X which is the saturated liquid state at the pressure and temperature of vapour generated in the high-temperature generator. For a given pressure and PPTD for HP-generator, it is possible to find out the mass flow rate of the working fluid through the HP-generator if the entrainment ratio (ER) of the HP-ejector is already known. For the HP-generator modelling, the saturation temperature is already known because it is an input parameter, therefore, it is possible to calculate the properties of the working fluid at state 7 (saturated-vapour) and state 7X (saturated-liquid). The PPTD value of 2 °C has been used. Applying the energy balance principle on the heating water (source) and the working fluid from state 7X to state 7, we obtain.
Here, T
source7X is the temperature of source (heating water) at point 7X and can be calculated by
Hence, m
7 can be found out and because we know the ER from ejector model, we are able to calculate the m
2.
Also, applying mass balance on HP ejector gives
Similarly, for LP-generator, the PPTD is at state 9X as shown on T-s diagram. As the saturation temperature is an input parameter, therefore, it is possible to calculate the properties of working fluid at point-9 and the state 9X (saturated-liquid). Again, applying the energy balance principle on the heating water (source) coming from HP-generator and the working fluid from state 9X to 9, we have
Here, T
sourceout,HPG is the temperature of hot water leaving the HP generator and entering the LP generator. T
sourceout,LPG is the temperature of heating water corresponding to point 12 and can be found by
Hence, m
9 can be found out and because we know the ER from ejector model, we can find the m
11Applying the mass balance on LP ejector gives
To calculate the temperature of the heating-water leaving the HP-generator (T
sourceout,HPG), energy conservation is applied on the pre-heating (state 6 to state 7X) section of HP generator
Similarly, for LP generator, we have;
Here, T
sourceout,LPG is the temperature of the hot-water exiting the LP-generator and is an important parameter to do the calculations for waste heat driven systems because many a times it is constrained because of the overall system integration requirements. The total heat supplied is calculated as
As we know the condensation temperature and pressure, we already know the state 5 and we know how much pressure difference the HP pump needs to generate. Therefore, the specific pumping power of HP pump (W
HPpump) is calculated by
Here, v
5 is the specific volume of the liquid working fluid entering the pump at the state 5. As h
5 is already known, we can calculate the value of h
6 and, therefore, the pumping power of HP pump can be found out with equation below
The specific volume at state 5 is also calculated by using working fluid properties based on the saturation temperatures which are directly entered in the EES code. Similarly, for LP pump we have:
The expansion in the expansion valve (from state 5 to state 10) is isenthalpic. From state 10, the liquid-vapour refrigerant will be separated by the separator to both state 11 (saturated vapour) and 12 (saturated liquid). The saturated vapour at state 11 would then be entrained by the LP ejector. To derive the enthalpic values for state 10, 11, and 12, we would need to determine the optimal pressure state for all three points. This is done by introducing a new variable known as the YY factor (0 to 1) to determine the optimal pressure which would affect the overall COP of the system. YY it is a fraction of pressure difference between condenser and evaporator and its correct value gives the correct value of P
10). YY is determined by the program as shown:
After P
10 has been determined, the enthalpies at state 11 and 12 are calculated by using working fluid properties based on the saturation pressure at P
10 (P
10 = P
11 = P
12) which are directly entered in the EES code.
However, we must also consider the mass flow rate, m
11E, as there is a maximum constraint on how much of the actual mass flow rate, m
11Q, the LP ejector can entrain. This is done by computing m
11Q based on the quality relation as the quality puts a constraint on the mass flow rate of vapour and liquid (m
11 and m
12). Therefore, m
11 cannot be very high. The quality relation is as follows:
Since h10 (h5) and P10 are determined, we can determine the quality of the working fluid properties by typing directly the EES code. For higher values of YY, it would lead to higher values of P10 and higher entrainment ratio of the LP ejector. Hence, m11E would be higher as well but the actual mass flow rate, m11Q, would be lesser than m11E as shown in
Figure 5. For higher values of YY, the P10 value is higher, therefore, it is easier for the LP ejector to entrain the fluid, therefore, m
11E (ejector) values are higher because of the higher value of entrainment ratio. However, higher values of m
11 (ejector) are not particle because m
11Q (quality) values are lower and therefore the system cannot provide enough mass flow for the ejector to be entrained. Therefore, the only values of YY that are acceptable are those when m
11E ≤ m
11Q and the optimal value would be when m
11Q is as close as m
11E.
In the evaporator, state-1 of working fluid is known because the evaporator temperature is an inlet parameter. The expansion in the expansion valve (from state-12 to state-13) is an isenthalpic process and, therefore, state 13 is known because pressure P13 is the same as the evaporation pressure.
The cooling produced (refrigeration effect) is calculated as
The total compression pressure difference required for the system to operate is the pressure different between evaporator and condenser which are defined by system operating conditions.
This total pressure different (DP
comp) load is shared by the ejectors and the compressor. The amount of load shared by the ejectors and the compressor would depends on the factor XX (0 to 1);
Since the purpose of this study is to achieve a higher COP
e while maintaining a good amount of cooling output, XX = 0.5 would be optimal. If the higher value of COP
g is preferred, a higher XX value would be desirable. If XX is too low, the entire model would function like an ERS and hence may not achieve the desired COP
e. If XX is too high, the entire model would function like a VCC which may not be as energy-efficient since waste heat is not being utilized to its fullest potential. If XX = 0.5, it allows both the ejector and compressor to share the load equally and it would be a good compromise between COP
g and COP
e. This can be seen in
Figure 6.
These compression load sharing percentages of the compression load depends on various factors and be varied to satisfy various system requirements. For example, if the system needs a relatively high amount of cooling and relatively low amount of waste heat is available, the share of the compressor can be increased, and the share of ejectors will be decreased. The share of the HP ejector will always be higher than the LP ejector because the LP ejector is just trying to utilize the heat which is not utilized by the HP ejector.
Because P
1 and h
1 are known, state 1 is known, and therefore, specific entropy (s1) can be calculated. The compressor isentropic efficiency of 80% is used. The enthalpy at compressor exit (h
2) is calculated as
Here h
2,isen is the ideal enthalpy if the compression was isentropic (s2 = s1). The compressor power (W
comp) is calculated as;
Because the state 2 is now known, an energy balance can be applied on the HP ejector to find out h
3 as;
Therefore, the heat rejected by the condenser is calculated as
The electrical coefficient of performance (COPe) is defined as the ratio of the refrigeration effect produced to the electrical power consumed by the system which is calculated as;
The global coefficient of performance (COP
g) calculation considers both the electrical input as well as heat input adjusted for its quality. COP
g is calculated as;
Here, ηpower is the efficiency of an imaginary heat engine which converts the heat supplied into electrical power. Since the exergy value of electrical power is unity while for the low-grade heat the exergy value is much less, it is not right to just simply add the heat supplied with compressor and pump power.
Here, T_ambient value is taken as 5 °C lower than the condenser temperature and it is assumed that the imaginary heat engine operates at 80% of the maximum efficiency (Carnot Efficiency). Please note that the assumed efficiency is 80% of the Carnot Efficiency and NOT the Carnot Efficiency.
Figure 7 shows the computational flow diagram of the EES model. After getting the input parameters the EES codes can determine all the pressures except P10 and therefore it is possible to use the ejector model to use the entrainment ratio of the HP ejector. As discussed earlier, the YY is selected such that m
11E is equal to m
11Q to attain mass balance in the system circuits. An initial value of XX and YY are assumed and the system model is solved, and this iterative process is repeated until m
11E becomes equal to m
11Q. After the system’s operating pressures conditions are finalized, the output of the system can be varied based on the flow rate of heating water which has a linear relation. The flow rate of heating water just alters the size of the system and does not affect the operating conditions. After the required sizing of the system is achieved, the results are recorded.
The ejector model can calculate the entrainment ratio only when all three pressures (motive, suction, and delivery) are known. For the HP ejector, the motive and delivery pressures are known from external inputs, but its suction pressure is not known. For the LP ejector, the suction pressure is known from an external input, but its motive and delivery pressures need to be calculated first by our model to be able to calculate the entrainment ratio. To find the suction pressure of the HP ejector and the delivery pressure of the LP ejector, the total compression load is divided among the two ejectors and the compressor. More information on the system modelling for ejectors has been studied by Riaz et al. [
15].