Applied Energy 87 (2010) 1295–1306
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Exergy analysis of micro-organic Rankine power cycles for a small scale solar driven reverse osmosis desalination system B.F. Tchanche *, Gr. Lambrinos, A. Frangoudakis, G. Papadakis Department of Natural Resources and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos Street, 11855 Athens, Greece
a r t i c l e
i n f o
Article history: Received 5 December 2008 Received in revised form 9 June 2009 Accepted 15 July 2009 Available online 13 August 2009 Keywords: Organic Rankine engines Exergy analysis Desalination
a b s t r a c t Exergy analysis of micro-organic Rankine heat engines is performed to identify the most suitable engine for driving a small scale reverse osmosis desalination system. Three modified engines derived from simple Rankine engine using regeneration (incorporation of regenerator or feedliquid heaters) are analyzed through a novel approach, called exergy-topological method based on the combination of exergy flow graphs, exergy loss graphs, and thermoeconomic graphs. For the investigations, three working fluids are considered: R134a, R245fa and R600. The incorporated devices produce different results with different fluids. Exergy destruction throughout the systems operating with R134a was quantified and illustrated using exergy diagrams. The sites with greater exergy destruction include turbine, evaporator and feedliquid heaters. The most critical components include evaporator, turbine and mixing units. A regenerative heat exchanger has positive effects only when the engine operates with dry fluids; feedliquid heaters improve the degree of thermodynamic perfection of the system but lead to loss in exergetic efficiency. Although, different modifications produce better energy conversion and less exergy destroyed, the improvements are not significant enough and subsequent modifications of the simple Rankine engine cannot be considered as economically profitable for heat source temperature below 100 °C. As illustration, a regenerator increases the system’s energy efficiency by 7%, the degree of thermodynamic perfection by 3.5% while the exergetic efficiency is unchanged in comparison with the simple Rankine cycle, with R600 as working fluid. The impacts of heat source temperature and pinch point temperature difference on engine’s performance are also examined. Finally, results demonstrate that energy analysis combined with the mathematical graph theory is a powerful tool in performance assessments of Rankine based power systems and permits meaningful comparison of different regenerative effects based on their contribution to systems improvements. Ó 2009 Elsevier Ltd. All rights reserved.
1. Introduction Organic Rankine power cycle as energy conversion system is becoming widely recognized as a major technology in power engineering. An organic Rankine power plant is simply a steam power plant in which vapor steam is replaced by fluids such as siloxanes, refrigerants or hydrocarbons. An organic Rankine power system offers the advantage of being more suitable for low temperature heat recovery and small scale applications. The literature reviewed reveals that investigations on low temperature organic Rankine cycles (ORC) concern potential applications, working fluids as well as expansion devices. The applications include electricity generation, small cogeneration systems, water pumping, cooling and desalination. Quoilin et al. [1], Lemort [2], Nguyen et al. [3], Saitoh et al. [4], Kane et al. [5], Nguyen et al. [6], Riffat and Zhao [7], Oliveira et al. [8] and Yagoub et al. [9] are some of the authors * Corresponding author. Tel.: +30 (210) 529 4046; fax: +30 (210) 529 4032. E-mail addresses:
[email protected],
[email protected] (B.F. Tchanche). 0306-2619/$ - see front matter Ó 2009 Elsevier Ltd. All rights reserved. doi:10.1016/j.apenergy.2009.07.011
who reported studies on small ORCs designed for electricity generation. In view of harnessing the available solar radiation, solar thermal water pumping systems for freshwater and irrigation based on Rankine engine have been constructed and tested in different parts of the world including Africa and Asia [10]. The matching between the cooling demand and high solar radiation during the summer period, and the oil crisis of 1970s pushed towards investigations of solar cooling systems among which the so-called Duplex-Rankine driven cooling systems [11–13]. Another important application is the reverse osmosis (RO) desalination. The feature that makes the Rankine engine potentially suitable for reverse osmosis is the possibility of coupling between the turbine and the high pressure pump which forces the saline water to flow through the membrane modules. Owing to recent progress in membrane science, reverse osmosis has become the baseline technology for desalination and is being intensely discussed [14–18]. Bruno et al. [19] presented the feasibility study of solar Rankine driven osmosis desalination technology in two locations of Spain. As result, parabolic trough collectors were found
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Nomenclature c e E h g m P q Q s T V w W x z
molar concentration (–) specific exergy (kJ/kg) sum of exergy flow (kW) enthalpy (kJ/kg) gravitational constant (m/s2) mass flow rate (kg/s) pressure (MPa) specific heat (kJ/kg) heat rate (kW) entropy (kJ/kg K) temperature (°C) velocity (m/s) specific work (kJ/kg) work (kW) mole fraction (–) elevation (m)
Greek letters a fraction of fluid extracted (–) b influence coefficient (%) c exergy factor (–) g efficiency (%) e effectiveness (–) I–VII components, nodes (–) l chemical potential (J/kg) m degree of thermodynamic perfection (%) P exergy loss (kW)
to be the most competitive option over other thermal collectors and equivalent PV-driven system. Manolakos et al. [20–23] designed and tested a small stand-alone system using a scroll expander; simulations of the latter were carried out by Schuster et al. [24] who put in evidence the influence of the collector slope on the system productivity. Till 1970s, the most commonly-used method for analysis of an energy conversion process was the energy analysis. Since this period, the depletion of fossil fuel reserves and the will to reduce harmful emissions from energy intensive systems pushed to the development of methods of analysis of thermodynamic processes. The new methodology is exergy analysis and its optimization component known as entropy generation minimization [25–27]. Exergy analysis provides the tool for a clear distinction between energy losses to the environment and internal irreversibilities in the process. Exergy analysis is a methodology for the evaluation of the performance of devices and processes, and involves examining the energy at different points in a series of energy conversion steps. Its results are often considered to provide a more meaningful and accurate representation of the efficiencies of the processes within a system; therefore, it is an important tool in the analysis of energy conversion processes. Numerous research works related to the exergy analysis of Rankine based power systems are available at the present in the scientific literature, such as those concerning Rankine driven vapor compression system [28], steam power plants [29,30], solar thermal power plants [31,32], geothermal power plants [33,34], cogeneration plants [35] and Rankine driven desalination plants [36]. However, only a few research works devoted to the comparison of different organic Rankine power cycles using simultaneous energy and exergy analyses are available [37,38]. In other works [39,40], we have established the criteria that should fulfill a good working fluid and proceeded to the selection
Subscript–superscript 1–16 points, flows a available ch chemical ex exergetic fl flow i, j, k flows, components kn kinetic in inlet o restricted dead state out outlet, exit p pump ph physical pp pinch point pt potential u useful R system Acronyms CFH closed feedliquid LHV lower heating value OFH open feedliquid ORC organic Rankine cycle RHE regenerative heat exchanger RO reverse osmosis SRE simple Rankine engine TTD terminal temperature difference
of most suitable ones for a low temperature organic Rankine cycle driven by a heat source temperature below 100 °C. The present work aims at comparing several organic Rankine cycle configurations in view of seeking an increase in system performance. The configurations considered are obtained from regenerative processes i.e. incorporation of a regenerator or a feedliquid heater. Limits in systems’ efficiency are further established for different configurations and analyzed for determining if it is worth modifying the simple Rankine system when designing a low temperature Rankine driven reverse osmosis desalination system. Moreover, the effects of the heat source temperature and pinch point temperature difference are also analyzed.
2. Background Desalination technologies can be classified in two groups according to their separation mechanism: thermal and membrane based technologies [14]. Thermal desalination separates salt from water by evaporation and condensation, whereas in membrane desalination water diffuses through a membrane, while the salts are almost completely retained. Major desalination techniques are given in Table 1. Reverse osmosis and multi-stage flash are the most widely used technologies. The cost of water produced depends upon energy source, plant size, technology, feed water
Table 1 Desalination technologies. Thermal desalination technologies
Membrane desalination technologies
Multi-stage flash distillation (MSF) Multi-effect distillation (MED) Vapor compression distillation (VCD)
Reverse osmosis (RO) Nanofiltration (NF) Electrodialysis (ED)
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salinity and required product quality [18]. Parameters influencing significantly the water cost are plant size and energy cost. In this regard, potable water from large capacity plants and conventional energy sources is cheaper compared with small size renewable energy powered desalination systems. Thus, research and development are needed for small scale renewable energy powered systems which are environmentally friendly and well adapted for remote areas.
flow while the concentrate brine is discharged through the energy recovery unit. 2.3. Exergy analysis
Reverse osmosis (RO) is a pressure driven separation technique based on a property of certain polymers called semi-permeability. While they are very permeable for water, their permeability for dissolved substances is low. By applying a pressure difference across the membrane the water contained in the feed is forced to permeate through the membrane. In order to overcome the feed side osmotic pressure, fairly high feed pressure is required. Pressures applied in reverse osmosis applications vary from 15 to 25 bars for brackish water and 60–80 bars for seawater [14]. The process includes the following steps: pre-treatment, pumping, membrane separation, brine energy recovery and post-treatment. Pumping process can be easily achieved through electricity or shaft power thus making RO the most suitable candidate for renewable energy powered desalination system [17].
The exergy analysis methodology is a combination of first and second laws of thermodynamics and takes into account the environmental conditions. Exergy analysis has been under a continuous development for many decades [25–27]. It is becoming the most appropriate tool for thermodynamic analysis and process optimization. As a powerful tool, it is being applied to a wide variety of processes [41–45]. Exergy is defined as the maximum work that may be achieved by bringing a system into equilibrium with its environment. Every substance not in equilibrium with its environment has some quantity of exergy, while an object or system that is in equilibrium with its environment has, by definition, zero exergy since it has no ability to produce work with respect to its environment. An exergy analysis is similar to an energy analysis, but takes into account the quality of the energy as well as the quantity. Since it includes a consideration of entropy, exergy analysis allows a system to be analyzed more comprehensively by determining where in the system the exergy is destroyed by internal irreversibilities, and causes of those irreversibilities. For an open system at steady state, the second law can be written as [46,47]:
2.2. Organic Rankine driven reverse osmosis desalination system
P¼
2.1. Reverse osmosis desalination technique
The Rankine driven RO system consists of three sub-systems: collector loop, Rankine heat engine and desalination sub-system. Fig. 1 shows the layout of the system. The collector loop is made of 82 m2 evacuated tube collectors (ETC.) in which water as heat transfer fluid is heated up to 85 °C and circulated by a circulation pump (P1). The heat gained by the heat transfer fluid is further transferred to the working fluid of the Rankine engine via the boiler/evaporator (EV). The working fluid in the boiler evaporates and undergoes an expansion process in the turbine/expander (EX), then, cooled in the condenser (CD) and pumped back to the boiler. The useful power delivered by the expander is used to power the high pressure pump (HPP). In the desalination sub-system, the feed pump (P3) driven by a hydraulic turbine (HT) raises the pressure of the saline water and pumps it through the condenser where its temperature is increased before it reaches the high pressure pump. The pressure generated across the membranes forces the water to
X X X To 1 ðmj ej Þin ðmk ek Þout Qi W þ T i i j k
ð1Þ
where P represents the exergy destroyed in the system; T o is the ambient temperature of the system’s surroundings, and Q i is the ith heat transfer rate across the system boundary at a constant temperature T i . W is the work transfer rate across the system boundary. The mass flow rate of each material flows crossing the system boundary is represented by m and the specific exergy associated with each flow is represented by e. The specific exergy flow, e, is made up of physical exergy (eph), kinetic exergy (ekn), potential exergy (ept) and chemical exergy (ech). Summing the first three called flow exergy (efl), the expression below is obtained [46–47].
efl ¼ h ho T o ðs so Þ þ 1=2ðV 2 V 2o Þ þ gðz zo Þ
ð2Þ
The symbols h, s, V, z and g refer to the specific enthalpy, specific entropy, flow speed, the elevation above a reference position and the gravitational acceleration, respectively. o refers to the
RO
11 3
12
PE
4
BR EV
EX
HPP
13
5
ETC
10
CD 7 2
9
1
P1
P2
HT
P3
6
Solar Collector Loop Rankine Engine
SW, BW
14
8
Reverse Osmosis System Fig. 1. Schematic of a Rankine driven reverse osmosis desalination system. CD: condenser; HPP: high pressure pump; RO: reverse osmosis, EX: expander; EV: evaporator; P1, P2, P3: pump; ETC:evacuated tube collector; HT: hydro-turbine; BR: brine; PE: permeate; SW: seawater; BR: brackish water.
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environmental conditions. Effects of kinetic and potential specific exergies represented by third and fourth terms in the right hand of the Eq. (2) are usually neglected as their contribution is very small. The chemical energy derives from a composition imbalance between a substance and its environment, and accounts in part for a fuel’s ability to react chemically with its environment. On a molar basis, the chemical exergy of a material flow can be written as follows [27]:
ech ¼
X X xi loi loio þ RTo xi ln ðci =cio Þ i
ð3Þ
i
where xi is the mole fraction of the substance i in the flow; loi and ci are the chemical potential and concentration of substance i in its present state; loio and cio are the chemical potential and concentration of substance i in its environmental state, and R = 8.31 kJ/ kmol K, the universal gas constant. 3. Systems analysis 3.1. Rankine engines The simple Rankine engine comprises four components: a heat supplier also called evaporator or boiler, an expansion de-
(a)
vice, a condenser for heat rejection and finally a pump to feed the boiler. Such engine is presented on Fig. 2 along with the corresponding T–s diagram. In this engine, heat in converted into work when the working fluid undergoes the following processes: 1–2: expansion of the saturated or superheated fluid, 2–3: heat rejection through a condenser, 3–4: pumping of the liquefied fluid and finally 4–1: heat addition in the evaporator. In Fig. 3, a heat exchanger is incorporated into the cycle in parallel with the evaporator and condenser. In case the expansion process ends in the superheated vapor area, the heat exchanger will help to transfer the heat contained in the vapor to the compressed liquid entering the evaporator. Fig. 4 represents the regenerative Rankine engine with an open feedliquid heater and the corresponding T–s diagram. An open feedliquid heater is basically a mixing chamber where fraction of fluid extracted from the turbine mixes with the feedwater exiting the pump. The last configuration shown in Fig. 5 along with its T–s diagram is a regenerative organic Rankine engine with a closed feedliquid heater. In a closed feedliquid heater, heat is transferred from the extracted fluid to the feedliquid without any mixing taking place. Both streams can be at different pressures since they do not mix.
(b)
Hot water in T
4
1
Evaporator
1 4
Water out Pump
Turbine
Water out
2
3
2
3
Condenser
2s
s Cold water in Fig. 2. Simple organic Rankine cycle: (a) flow sheet diagram and (b) T–s diagram.
(a)
Hot water in Evaporator
1
Water out T
Turbine
6
(b)
1
2 6 5 RHE 2 Pump
2s
5
4
3
Water out s 4
Condenser
3
Cold water in Fig. 3. Regenerative organic Rankine cycle with regenerative heat exchanger: (a) flow sheet diagram and (b) T–s diagram.
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Hot water in 5
Evaporator
4
(b)
T
Water out
5
Turbine
Pump 2
4 6(α)
2
6 3
2
Open FWH
3
7(1-α)
Conde nser
Water out
7
1
Cold water in
6s
7s
Pump 1
(a)
s
1
Fig. 4. Regenerative organic Rankine cycle with open feedliquid heater: (a) flow sheet diagram and (b) T–s diagram.
3.2. Modeling
ei ¼ hi ho T o ðsi so Þ
The analysis of the Rankine engines will be carried out based on combination of exergy analysis and mathematical graphs theory known as exergy topological method. The components are considered as nodes or elements of a network where they are linked by pipes and valves. More details on this approach can be found in [48–51]. For components and systems performance evaluation, energy efficiency model and other models developed by Nikulshin et al. [51]: exergy loss model (EXL) and exergy efficiency model (EEF) will be used. The global model is executed in three main steps or blocks:
where hi and si are the specific enthalpy and specific entropy of the point considered, respectively. Specific exergy associated to i-heat flow is expressed as
ð5Þ
To q ei ¼ 1 Ti i
ð6Þ
Ti is the temperature at which the heat flow qi is transferred (added or removed from the body). Specific exergy of work of i-flow is equal to the specific work of the flow. Thus,
ei ¼ wi
ð7Þ
First block: Construction of the exergy flow graph and its matrix of incidence corresponding to the flow sheet diagram. Second block: Determination of exergy flows associated with each connection represented on the energy flow graph.
Specific exergy of fuel is approximated by the following equation:
For thermal power systems, there are four types of exergy flows: mass flow, work, heat and fuel. Specific mass exergies related to these types can be calculated by the following equations: Specific exergy associated to i-flow of mass is the sum
where c stands for the exergy factor and denotes LHV the lower heating value of the fuel material. The exergy flow rate is
ei ¼ c LHV
ð8Þ
Ei ¼ mi ei
pt kn ch ei ¼ eph i þ ei þ ei þ ei
ð4Þ
In absence of chemical reaction (chemical equilibrium with the surroundings), and neglecting the potential and kinetic exergies, only the physical part of exergy is considered. Eq. (4) then becomes
(a)
ð9Þ
For the full determination of the exergy flows, a reference state also called ‘‘restricted dead state” should be defined and the mass and energy balance equations applied to all components in view of determining the works output or input and the heat added or
Hot water in 6
Evaporator
T Water out
6
Turbine
5
2
4
Cond Water enser Cold out water in 1
3
7
5 9
9
Pump 2
4
8(1-α)
7(α)
Closed FWH
Mixing Chamber
(b)
2
3
7s 8
1
8s s
Pump 1
Fig. 5. Regenerative organic Rankine cycle with closed feedliquid heater: (a) flow sheet diagram and (b) T–s diagram.
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rejected. Mass and energy balances for any control volume at steady state with negligible potential and kinetic energy changes can be given, respectively, by [46]
The energy efficiency of component i (giex ), is defined as the ratio between its used and available exergy flow rates. This is expressed by
X X ðmj Þout ¼ ðmk Þin
ð10Þ
giex ¼ Eui =Eai
ð11Þ
The coefficient of influence of component i (bi), defined as the ratio of the available energy of the component to the total available exergy of the system indicates to which extend the component influences the system performance and is expressed as
j
k
Q W ¼
X
mj hj
out
j
X
ðmk hk Þin
k
bi ¼ Eai EaR
In organic Rankine cycles, dry fluids offer several advantages over wet fluids; wet fluids are less efficient and present a risk of droplets in the turbine which could damage the blades. In case a dry fluid is chosen as working fluid, a regenerator can be used to transfer the heat contained in the vapor after expansion to the compressed stream entering the boiler. The effectiveness of this regenerative heat exchanger is defined as the ratio of the actual temperature change of the liquid stream to the maximum possible temperature change. From Fig. 2, the regenerator effectiveness (e) can be expressed as [52]:
e ¼ ðT 6 T 5 Þ=ðT 2 T 5 Þ
PR ¼
.
ð19Þ
The system exergetic efficiency (gRex ), is the ratio of system total exergy used to the system total available exergy and is expressed as
gRex ¼ EuR EaR
ð20Þ
The system thermal or energy efficiency as parameter which shows how the energy is converted in the engine is the ratio of the net power output to the heat input to the engine. It is written as
Third block: Determination of exergy losses, degree of thermodynamic perfection, exergy efficiency and coefficient of influence.
gRth ¼ W net =Q in ¼ ðW t RW p Þ=Q in
ð21Þ
where Wnet is the net power produced by the system and Qin the total heat input.
Once the exergy flows are determined, energy input, exergy output, used energy, available exergy, and exergy losses can be calculated using the definitions given in Table 2 [47]. Then, the components and systems performance can be evaluated using the parameters defined below. Exergy losses associated with component i (Pi), defined as the difference between the inlet and outlet energy flow rates is expressed as:
3.3. Operating conditions The solar desalination system described in Section 2.2 is designed to operate at low temperature below 100 °C. In this range of temperature, water as heat carrier is suitable and will not turn into steam and most medium temperature collectors (flat plate, evacuated tube or compound parabolic collectors) can be used. These collectors offer the advantage of low initial and low maintenance costs over parabolic trough collectors. The following operating conditions were set for the organic Rankine engine sub-system: Heat source: hot water is supplied at 85 °C and the pinch point is DTpp = 3 °C. Condenser cooling fluid: water supplied at 25 °C.
ð14Þ
The degree of thermodynamic perfection of component i (mi), is the ratio of the exergy leaving to the energy flowing into the component and is given by
.
ð18Þ
mR ¼ Eout Ein R R
TTD is the terminal temperature difference.
.
Pi
The degree of thermodynamic perfection of the system (mR), is the ratio of the sum of exergy flowing out of the system to sum of exergy flowing into the system; and is being given by
ð13Þ
in mi ¼ Eout Ein i i ¼ 1 Pi Ei
n X i¼1
Similarly to steam power plants, the efficiency of organic power cycles could be increased by the incorporation of feedliquid heaters. In case a feedliquid heater is included to the engine as in Fig. 5, the temperature of the feedliquid after heating can be given as
out Pi ¼ Ein i Ei
ð17Þ
The engine or system total exergy loss (PR), is the sum of exergy lost in all components.
ð12Þ
T 9 ¼ T 3 TTD
ð16Þ
ð15Þ
Table 2 Exergy rates associated with different components [47]. Components
Heat exchanger
Schematic
Hot stream, E3
Mixing unit
Cold stream, E1
E2
Pump
Hot stream E2 Cold stream
E3 + E1 E2 + E4 E2 E1 E3 E4
E1
E2 E3 (Wp)
E4 (Wt)
E3
E1 E4
Energy, in (Ein) Energy, out (Eout) Used energy (Eu) Available energy (Ea)
Turbine
E1 E2 + E1 E3 E3 E2 + E1
E3 + E1 E2 E2 E1 E3
E2
E3
E1 E2 + E3 + E4 E4 E1 E2 E3
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ers and the mixing units are well insulated. A simulation package EES (Engineering Equation Solver) [53] that contains the thermodynamic properties of a certain number of fluids is used for calculations and evaluation of flow parameters.
Working fluid: R134a. Turbine: pressure ratio, PR = 3; power output, Wt = 2 kW; isentropic efficiency, gst = 70%; mechanical efficiency, gmt = 60%. Pumps: isentropic efficiency, gp = 80%. Feedliquid heater pressure is chosen through the following relation:
Pflh ¼ P in
exp
1=2ðP in
exp
Pout
4. Results and discussion
exp Þ
From the flow sheet diagrams corresponding to different configurations, the exergy flow graphs with all interconnections were built and displayed on Fig. 6. Since these flow graphs sufficiently show the interactions between components and directions of flows, there is no interest for drawing the matrixes of incidence. After execution of equations built in EES, Tables 4a–4d of flow parameters which show different operating points of the systems and energy rates were produced. Using definitions in Table 2 and Eqs. (14)–(21), performance parameters of components and systems are calculated. Performances of several fluids are also investigated and compared. R245fa and R600 are dry fluids with
where Pin_exp and Pout_exp are inlet and outlet pressures of the turbine. Terminal temperature difference, TTD = 3 °C. Effectiveness of the regenerator, e = 0.80. Restricted dead state (ambient conditions): Po = 0.1 MPa and To = 25 °C. Along with the operating conditions above set, the following assumptions are made: steady-state conditions, no heat losses and pressure drops in the heat exchangers, and the feedliquid heat-
(b)
(a)
E8 E1
E6
E5 II
E7 Π3
Π2
E6 II Π3
E7
III
Π2
E3
E5 I
Π5
E2 E3 Π1
IV
E10 E8
E4
I
E10
V
E9 Π4
E12
(c)
(d)
E11
Ε12
Π4
Ε11
Ε6
III
E10
Ε13
IV
Π3 Π3
E5
III
II
E9
E9
Π4
E2
E1
E4
Π1
IV
III
E11
Π2 E6 VI
E4
Ε8
Ε7
Ε5
Π5
Ε15 II
Π2
Π6
E7
Ε9
V
Π7 VII
E3 E2
Ε1
Ε4 Π1
I
Π5
V
Ε3
E12
IV E1
E8
Ε14
Π4 I
E14
Ε2
E13
Π1
VI Π6
Ε10 Ε16 Fig. 6. Exergy flow graphs: (a) simple Rankine engine, (b) Rankine engine with regenerative heat exchanger, (c) Rankine engine with open feedliquid heater and (d) Rankine engine with closed feedliquid heater.
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Table 3 Characteristics of the working fluids. Fluids R134a R245fa R600
1,1,1,2- Tetrafluoroethane 1,1,1,3,3-Pentafluoropropane N-Butane
Table 4a Flow parameters for configuration 1(simple organic Rankine cycle). MW (kg/kmol)
Tcrit (°C)
Pcrit (MPa)
ODP
102 134 58.12
101.3 154.1 152
4.059 3.639 3.796
0 0 0
higher critical temperature in comparison to R134a which is isentropic (see Table 3).
State
Fluid
T (°C)
P (kPa)
h (kJ/kg)
s (kJ/kg K)
e (kJ/kg)
E(kW)
1 2 3 4 5 6 7 8 9 10
R134a R134a R134a R134a Water Water – Water Water –
75 30.8 30.8 31.98 85 73.85 – 25 35 –
2366 788.6 788.6 2366 100 100 – 100 100 –
280.8 266.2 94.74 96.41 355.9 309.2 – 104.8 146.7 –
0.895 0.916 0.352 0.353 1.134 1.002 – 0.367 0.505 –
67.33 46.56 43.28 44.61 22.33 15.11 8.773 0 0.686 1.665
15.35 10.61 9.86 10.17 20.08 13.59 2 0 0.64 0.38
4.1. Rankine engines with R134a as working fluid 4.1.1. Configuration 1: simple Rankine engine In the simple Rankine engine, only four components are considered: expander, evaporator, pump and condenser. As can be seen in Table 5, the highest exergy loss occurs in the expander: 2.74 kW which represents 65% of the total exergy destroyed in the system as shown by the exergy loss distribution (Fig. 7a). The direct consequence is the low exergy efficiency, 42.24% and low degree of thermodynamic perfection, 82.18%. The poor performance of the expander is due to the irreversibilities during the expansion process: radial and flank leakages and thermal losses. The evaporator is the most critical component with a degree of influence of 32.31%, followed by the expander 23.58%. This simple engine consumes 4.23 kW exergy and, exergy efficiency and degree of thermodynamic perfection are 8% and 79.34%, respectively. 4.1.2. Configuration 2: Rankine engine with regenerative heat exchanger The role assigned to the regenerator is to increase the average evaporator temperature. From Table 4b (flow parameters) it can be seen that the temperature at the evaporator inlet (point 6, 31.04 °C) is lower than temperature at the pump outlet (point 5, 31.98 °C) which means that the heat exchanger cools instead of heats. From the results displayed in Table 5, it can be seen that the regenerator has a very small coefficient of influence (0.05%) which means very little effect on the system. And of course, the exergy efficiency of the system in comparison with the simple Rankine engine is unchanged and the degree of thermodynamic perfection is slightly decreased, by 8%. Unnecessary use of regenerator can be drawn as conclusion confirming the uselessness of this device when the working fluid is an isentropic one such as R134a. No exergy is destroyed in the regenerator and the energy loss distribution is similar to that of the basic engine (see Fig. 7b). The evaporator is still the most important component with a coefficient of influence of 32.53% followed by the turbine. 4.1.3. Configuration 3: Rankine engine with open feedliquid In this configuration, a feedliquid or mixing unit is incorporated in the simple Rankine engine. The pump (first pump) exit exergy is mixed to exergy extracted from the expander in order to reduce the exergy destruction in the evaporator. In comparison to the basic engine, this configuration will be more expensive as it requires two more devices: an additional pump and a mixing unit. From Table 5, it is observed that the feedliquid plays a significant role; the total amount of energy destroyed is reduced from 4.2 kW in first two configurations to 3.9 kW. The degree of thermodynamic perfection is also increased from 79.34% in the first configuration and 79.16% in the second configuration to 83.7%. In contrast, the exergy efficiency is reduced by 15.38% compared with first two configurations; this is due to pumps’ works. The evaporator performs better in this config-
Table 4b Flow parameters for configuration 2 (regenerative Rankine engine with internal heat exchanger). State
Fluid
T (°C)
P (kPa)
h (kJ/kg)
s (kJ/kg.K)
e (kJ/kg)
E (kW)
1 2 3 4 5 6 7 8 9 10 11 12
R134a R134a R134a R134a R134a R134a Water Water – Water Water –
75 30.8 31.28 30.8 31.98 31.04 85 73.77 – 25 35 –
2366 788.6 788.6 788.6 2366 2366 100 100 – 100 100 –
280.8 266.2 267.6 94.74 96.41 95.06 355.9 308.9 – 104.8 146.7 –
0.8951 0.9157 0.9202 0.3517 0.3528 0.3483 1.134 1.001 – 0.3669 0.5049 0.8951
67.33 46.56 46.59 43.28 44.61 44.58 22.33 15.07 8.773 0 0.6862 1.665
15.35 10.61 10.62 9.866 10.17 10.16 20.08 13.55 2 0 0.6463 0.3795
Table 4c Flow parameters for configuration 3 (Rankine engine with open feedliquid heater). State
Fluid
T (°C)
P (kPa)
h (kJ/kg)
s (kJ/kg.K)
e (kJ/kg)
E (kW)
1 2 3 4 5 6 7 8 9 10 11 12 13 14
R134a R134a R134a R134a R134a R134a R134a – Water Water – Water Water –
30.8 31.4 57.29 58.17 75 57.29 30.8 – 85 76.24 – 25 35 –
788.6 1577 1577 2366 2366 1577 788.6 – 100 100 – 100 100 –
94.74 95.57 135 135.9 280.8 275.6 266.2 – 355.9 319.2 – 104.8 146.7 –
0.3517 0.3522 0.4763 0.4768 0.8951 0.9019 0.9157 – 1.134 1.03 – 0.3669 0.5049 –
43.28 43.94 46.35 47.11 67.33 60.1 46.56 0.924 22.33 16.55 11.9 0 0.6862 0.8324
8.97 9.109 12.3 12.5 17.87 3.49 9.651 0.2452 23.37 17.33 2 0 0.583 0.1725
Table 4d Flow parameters for configuration 4 (Rankine engine with closed feedliquid heater). State
Fluid
T (°C)
P (kPa)
h (kJ/kg)
s (kJ/kg.K)
e (kJ/kg)
E (kW)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
R134a R134a R134a R134a R134a R134a R134a R134a R134a – Water Water – Water Water –
30.8 31.98 57.29 58.17 55.04 75 57.29 30.8 54.29 – 85 75.94
788.6 2366 1577 2366 2366 2366 1577 788.6 2366 – 100 100 – 100 100 –
94.74 96.41 135 135.9 130.9 280.8 275.6 266.2 129.7 – 355.9 317.9 – 104.8 146.7 –
0.3517 0.3528 0.4763 0.4768 0.4617 0.8951 0.9019 0.9157 0.4581 – 1.134 1.027 – 0.3669 0.5049 –
43.28 44.61 46.35 47.11 46.63 67.33 60.1 46.56 46.53 0.924 22.33 16.37 7.691 0 0.6862 1.665
9.098 9.378 2.309 2.347 12.13 17.51 2.994 9.788 9.781 0.04602 22.9 16.79 2 0 0.5913 0.35
25 35 –
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Ein i (kW)
(kW) Eout i
Eai (kW)
Eui (kW)
Pi (kW)
giex (%)
mi (%)
bi (%)
1-Simple rankine engine Pump (I) Evaporator (II) Turbine (III) Condenser (IV) System
10.25 30.25 15.35 10.61 20.46
10.17 28.94 12.61 10.51 16.23
0.38 6.487 4.735 0.749 20.08
0.305 5.179 2 0.641 1.62
0.075 1.308 2.735 0.108 4.226
80.23 79.83 42.24 85.61 8.07
99.27 95.68 82.18 98.98 79.34
1.89 32.31 23.58 3.731 –
2-Regenerative heat exchanger Pump (I) 10.25 RHE (II) 20.78 Evaporator (III) 30.24 Turbine (IV) 15.35 Condenser (V) 10.62 System 20.46
10.17 20.78 28.9 12.61 10.51 16.19
0.3795 0.01 6.531 4.735 0.755 20.08
0.305 0.01 5.186 2 0.646 1.62
0.075 0.00 1.345 2.735 0.109 4.264
80.23 100 79.41 42.24 85.60 8.07
99.27 100 95.55 82.18 98.98 79.16
1.89 0.05 32.53 23.58 3.76 –
3-Open feedliquid Pump 2 (I) Evaporator (II) Turbine (III) Condenser (IV) Pump 1 (V) Feedliquid (VI) System
12.55 35.87 17.87 9.651 9.143 12.6 23.79
12.5 35.19 15.14 9.553 9.109 12.3 19.91
0.245 6.045 4.724 0.681 0.173 12.6 23.37
0.200 5.365 2 0.583 0.139 12.3 1.538
0.045 0.68 2.724 0.098 0.034 0.299 3.88
81.79 88.76 42.33 85.61 80.30 97.63 6.77
99.64 98.11 84.75 98.98 99.63 97.63 83.69
1.05 25.87 20.22 2.91 0.74 53.91 –
4-Closed feedliquid Pump 2 (I) Mixing Unit (II) Evaporator (III) Turbine (IV) Condenser (V) Pump 1 (VI) Feedliquid (VII) System
2.355 12.13 35.03 17.51 9.788 9.448 12.37 23.3
2.347 12.13 34.3 14.78 9.689 9.378 12.09 19.38
0.046 12.13 6.113 4.726 0.69 0.35 0.685 22.9
0.038 12.13 5.382 2 0.591 0.281 0.402 1.604
0.008 0.001 0.731 2.726 0.099 0.07 0.283 3.92
81.79 100 88.04 42.32 85.61 80.23 58.75 7.00
99.64 100 97.91 84.43 98.98 99.27 97.72 83.18
0.20 52.95 26.69 20.63 3.02 1.53 2.99 –
Fig. 7. Exergy loss distribution: (a) simple Rankine engine, (b) Rankine engine with regenerative heat exchanger, (c) Rankine engine with open feedliquid heater and (d) Rankine engine with closed feedliquid heater.
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R134a
R245fa
(b)
R600
5 4.8 4.6 4.4 4.2 4 3.8 3.6 3.4 3.2 3
R134a
R245fa
R600
8.6
Exergertic efficiency (%)
Energy efficiency (%)
(a)
8.2 7.8 7.4 7 6.6 6.2 5.8 5.4 5
SRE
RHE
OFH
CFH
SRE
RHE
(c) Degree of therm. perfection (%)
OFH
CFH
Engines
Engines R134a
R245fa
R600
86 85 84 83 82 81 80 79 78 77 76
SRE
RHE
OFH
CFH
Engines Fig. 8. Performance parameters: (a) Energy efficiency, (b) Exergetic efficiency and (c) degree of thermodynamic perfection. (SRE: simple rankine engine, RHE: regenerative heat exchanger, OFH: open feedliquid heater, CFH: closed feedliquid heater.)
4.2. Rankine engines and working fluids In this section, different Rankine engine configurations are compared using different parameters: thermal efficiency, exergetic efficiency and degree of thermodynamic perfection. The thermal efficiency indicates how the energy conversion takes place in the system. The exergetic efficiency is the ratio between the exergy
20 18
Energy and Exergy efficiencies (%)
4.1.4. Configuration 4: Rankine engine with closed feedliquid heater A Rankine engine with a closed feedliquid heater is more complex than the previous configurations. Three components are added to the simple engine: an additional pump, a mixing unit and the feedliquid heater making it the most expensive engine. Compared to the Rankine engine with open feedliquid, results are similar. There is a slight increase in exergy efficiency and a slight decrease in degree of thermodynamic perfection (see Table 5). The exergy loss distribution (see Fig. 7d) is almost the same with no exergy destroyed in the mixing unit which is also the most critical component with a coefficient of influence of 52.95%. Concluding this section, the simplest the cycle the best it will be from an exergetic efficiency viewpoint. The regenerative heat exchanger is regarded as useless using R134a. The incorporation of feedliquid improves the thermodynamic operation of the engine by reducing the exergy losses but the cost for that is a decrease in exergetic efficiency. The mixing unit, evaporator and expander appear as the key components. However, different modifications did not affect the expander for which the performances remained poor.
86 R600
Exergy eff. eff. (%) T hermal eff. Thermal eff. (%) Degree of therm. perf. perf. (%) (%)
16 14
85
84
12 10
83
8 82
6 4
81
2 0 60
65
70
75
80
85
90
95
Degree of thermodynamic perfection (%)
uration: exergy efficiency increased from 79.83% (configuration 1) and 79.41% (configuration 2) to 88.76%. The degree of thermodynamic perfection does the same as can be seen in Table 5. The feedliquid heater is the most critical component; it has the highest coefficient of influence (53.91%) and contributes to the reduction of energy losses in the evaporator significantly. This reduction reaches 50% (see Table 5) while the expander remains the site of highest energy losses with 2.72 kW and contributes for 70% of total energy destroyed (Fig. 7c).
80 100
Heat source temperature (ºC) Fig. 9. Variation of the performance parameters with the temperature of the heat source.
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4.3. Heat source temperature and pinch point temperature difference Fig. 9 shows the influence of the heat source temperature on the system performance. The pinch point and the temperature difference between the heat reservoir and the turbine inlet are kept at 3 °C and 10 °C, respectively, and the turbine inlet point is maintained on the saturation curve while the temperature of the water is increased. The increase in heat source temperature is followed by a decrease in exergetic efficiency while the energy efficiency remains almost constant. The degree of thermodynamic perfection decreases and passes through a minimum.
20 R600 =5°°C C ΔΤpp=5
Exergetic efficiency (%)
18
°C ΔΤpp=4 °C
16
°C ΔΤpp=3 °C
14 12 10 8 6
90
Degree of thermodynamic perfection (%)
gained (useful energy) and the exergy input (contained in the hot water supplied at the evaporator inlet). The degree of thermodynamic perfection shows how the energy input is transformed by the system i.e. exergy destruction level; thus it is a suitable indicator for entropy generation minimization. In Fig. 8, performances of different fluids in different configurations are displayed. From an energy point of view, the regenerative heat exchanger allows better energy conversion for dry fluids (R245fa, R600) while the closed feedliquid is suitable for the isentropic one: R134a (see Fig. 8a). The exergetic efficiency is highest for all three fluids in the simple Rankine engine as can be seen in Fig. 8b. Fig. 8c shows the engine with the open feedliquid heater as the configuration with the highest degree of thermodynamic perfection. Seeking for best fluid in the best configuration, the energy efficiency is higher for R600 in configuration 2 and the degree of thermodynamic perfection is higher for R600 in configuration 3; while the exergetic efficiency is higher for R134a in configuration 1. The incorporation of the heat exchanger for R600 leads to an increase of 7% in the energy efficiency in comparison to the simple Rankine; what is not significant. For the same fluid the incorporation of the feedliquid heater and second pump lead to an increase in the degree of thermodynamic perfection of 3.5%, comparison made with the simple Rankine engine. Although, different modifications give better energy conversion and less exergy destroyed, the improvements are not significant enough and could not probably be economically feasible. Therefore, for heat source temperature below 100 °C, the simple Rankine cycle is the best configuration from manufacturing and cost viewpoints.
89
R600
°C ΔΤpp=5 °C °C ΔΤpp=4 °C
88
°C ΔΤpp=3 °C
87 86 85 84 83 82 81 60
65
70
75
80
85
90
95
100
Temperature of the heat source (°C) Fig. 11. Influence of the pinch point temperature difference on the degree of thermodynamic perfection.
On Figs. 10 and 11, the influence of the pinch point temperature difference can be appreciated. The increase of the pinch point reduces the exergetic efficiency but at the same time improves the thermodynamic behavior of the system. These graphs reveal an opposition between both exergetic efficiency and degree of thermodynamic efficiency; what was observed earlier on Fig. 8b and c. 5. Conclusions Performances of organic Rankine heat engines operating with several fluids were evaluated using an innovative exergy study approach called exergy topological method based on combination of exergy analysis and mathematical graph theory. Using parameters such as exergy loss, exergy efficiency, degree of thermodynamic perfection and coefficient of influence, components and systems performance were compared. Various devices incorporated in the simple Rankine cycle, gave different results: the regenerative heat exchanger has positive effects only on dry fluids; the incorporation of feedliquid heaters improve the degree of thermodynamic perfection of the system but leads to loss in exergetic efficiency. Mixing units, open feedliquid heater, evaporator and turbine are the most important elements in regard to the coefficients of influence in different configurations. For different engines and fluids considered, the energy conversion is poor, less than 5% and energy efficiency does not exceed 10%. The integration of different devices is not significantly rewarded in terms of gain; therefore, it is preferable to keep the simple Rankine engine when designing a system such as the small scale RO desalination system with an integrated Rankine engine operating on low temperature heat below 100 °C. It was also shown how the pinch point temperature difference should be lowered so as to produce high energy efficiency. The present study proved the capability of structural energy analysis approach to serve not only as evaluation tool, but also as decision support tool.
4
References
2 60
65
70
75
80
85
90
95
100
Temperature of the heat source (°C) Fig. 10. Influence of the pinch point temperature difference on the exergetic efficiency.
[1] Quoilin S, Orosz M, Lemort V. Modeling and experimental investigation of an organic rankine cycle using scroll expander for small solar applications. In: Proceedings of the EuroSun conference, Lisbon-Portugal, 7–10 October 2008. [2] Lemort V. Testing and modeling scroll compressors with a view to integrate them as expanders into a Rankine cycle. DEA Thesis, University of Liege; 2006.
1306
B.F. Tchanche et al. / Applied Energy 87 (2010) 1295–1306
[3] Nguyen VM, Doherty PS, Riffat SB. Development of a prototype lowtemperature Rankine cycle electricity generation system. Appl Therm Eng 2001;21:169–81. [4] Saitoh T, Yamada N, Wakashima S. Solar Rankine cycle system using scroll expander. J Energy Eng 2007;2:708–18. [5] Kane M, Larrain D, Favrat D, Allani Y. Small hybrid solar power system. Energy 2003;28:1427–43. [6] Nguyen T, Johnson P, Akbarzadeh A, Gibson K, Mochizuki M. Design, manufacturing and testing of a closed cycle thermosyphon Rankine engine. Heat Recov Syst CHP 1995;15:333–46. [7] Riffat SB, Zhao X. A novel hybrid heat pipe solar collector/CHP system-Part II: theoretical and experimental investigations. Renew Energy 2004;29:1965–90. [8] Oliveira AC, Afonso C, Matos J, Riffat S, Nguyen M, Doherty P. A combined heat and power system for buildings driven by solar energy and gas. Appl Therm Eng 2002;22:587–93. [9] Yagoub W, Doherty P, Riffat SB. Solar energy-gas driven micro-CHP system for an office. Appl Therm Eng 2006;26:1604–10. [10] Delgado-Torres AM. Solar thermal heat engines for water pumping: an update. Renew Sustain Energy Rev 2009;13:462–72. [11] Prigmore D, Barber R. Cooling with the Sun’s heat: design considerations and test data for a Rankine cycle prototype. Solar Energy 1975;17:185–92. [12] Lior N. Solar energy and the steam rankine cycle for driving and assisting heat pumps in heating and cooling modes. Energy Convers 1977;16:111–23. [13] Kaushik SC, Dubey A, Singh M. Steam Rankine cycle cooling system: analysis and possible refinements. Energy Convers Manage 1994;35:871–86. [14] Fritzmann C, Lowenberg J, wintgers T, Melin T. State-of-the-art of reverse osmosis desalination. Desalination 2007;216:1–76. [15] Voros NG, Kiranoudis CT, Maroulis ZB. Solar energy exploitation for reverse osmosis desalination plants. Desalination 1998;115:83–101. [16] Majali F, Ettouney H, Abdel-Jabbar N, Qiblawey H. Design and operating characteristics of pilot scale reverse osmosis plants. Desalination 2008;222:441–50. [17] Mathioulakis E, Belessiotis V, Dalyannis E. Desalination by using alternative energy: review and state-of-the-art. Desalination 2007;203:346–65. [18] Karagiannis IC, Soldatos PG. Water desalination cost literature: review and assessment. Desalination 2008;223:448–56. [19] Bruno JC, Lopez-Villada J, Letelier E, Romera S, Corona A. Modelling and optimization of solar organic Rankine cycle engines for reverse osmosis desalination. Appl Therm Eng 2008;28:2212–26. [20] Manolakos D, Papadakis G, Mohamed Essam Sh, Kyritsis S, Bouzianas K. Design of an autonomous low-temperature solar Rankine cycle system for reverse osmosis desalination. Desalination 2005;183:73–80. [21] Manolakos D, Papadakis G, Kyritsis S, Bouzianas K. Experimental evaluation of an autonomous low-temperature solar Rankine cycle system for reverse osmosis desalination. Desalination 2007;203:366–74. [22] Manolakos D, Kosmadakis G, Kyritsis S, Papadakis G. On site experimental evaluation of a low-temperature solar organic Rankine cycle system for RO desalination. Solar Energy 2008. [23] Manolakos D, Mohamed Essam Sh, Karagianis I, Papadakis G. Technical and economical comparison between PV–RO system and RO–solar Rankine system. Case study: Thirasia Island. Desalination 2008;221:37–46. [24] Schuster A, Karl J, Karellas S. Simulation of an innovative stand-alone solar desalination system using an organic Rankine cycle. Int J Thermodyn 2007;10:155–63. [25] Sciubba E, Wall G. A brief commented history of exergy from the beginnings to 2004. Int J Thermodyn 2007;10:1–26. [26] Bejan A. Fundamentals of exergy analysis, entropy generation minimization, and the generation of flow architecture. Int J Energy Res 2002;26:545–65.
[27] Wall G. Exergy – a useful concept within resource accounting.
[checked March 2009]. [28] Nilufer A, Karakas A. Second law analysis of a solar powered Rankine cycle/ vapor compression cycle. J Heat Recov Syst 1986;6:135–41. [29] Acar HI. Second law analysis of the reheat-regenerative Rankine cycle. Energy Convers Manage 1997;38:647–57. [30] Aljundi IH. Energy and exergy analysis of a steam power plant in Jordan. Appl Therm Eng 2009;29:324–8. [31] You Y, Hu EJ. A medium-temperature solar thermal power system and its efficiency optimization. Appl Therm Eng 2002;22:357–64. [32] Singh N, Kaushik SC, Misra RD. Exergetic analysis of a solar thermal power system. Renew Energy 2000;19:135–43. [33] Kanoglu M, Bolatturk A. Performance and parametric investigation of a binary geothermal power plant by exergy. Renew Energy 2008;33:2366–74. [34] DiPippo R. Second law assessment of binary plants generating power from low-temperature geothermal fluids. Geothermics 2004;33:565–86. [35] Kanoglu M, Dincer I. Performance assessment of cogeneration plants. Energy Convers Manage 2009;50:76–81. [36] Bouzayani N, Galanis N, Orfi J. Comparative study of power and water cogeneration systems. Desalination 2007;205:243–53. [37] Mago PJ, Srinivasan KK, Chamra LM, Somayaji C. An examination of exergy destruction in organic Rankine cycles. Int J Energy Res 2008;32:926–38. [38] Dai Y, Wang J, Gao L. Parametric optimization and comparative study of organic Rankine cycle (ORC) for low grade heat recovery. Energy Convers Manage 2009;50:576–82. [39] Tchanche BF, Papadakis G, Lambrinos Gr, Frangoudakis A. Criteria for working fluid selection in low-temperature solar organic Rankine cycles. In: Proceedings of the EuroSun conference, Lisbon, Portugal, 7–10 October 2008. [40] Tchanche BF, Papadakis G, Lambrinos Gr, Frangoudakis A. Fluid selection for a low-temperature solar organic Rankine cycle. Appl Therm Eng 2009;29:2468–76. [41] Koroneos CJ, Nanaki EA. Energy and exergy utilization assessment of the Greek transport sector. Resour, Conserv Recycling 2008;52:700–6. [42] Wall G. Exergy Conversion in the Japanese Society. Energy 1995;15:435–44. [43] Cerci Y. Exergy analysis of a reverse osmosis desalination plant in California. Desalination 2002;142:257–66. [44] Cowden R, Nahon M, Rosen MA. Exergy analysis of a fuel cell power system for transportation applications. Exergy Int J 2001;2:112–21. [45] Hepbasli A. Exergetic modeling and assessment of solar assisted domestic hot water tank integrated ground-source heat pump systems for residences. Energy Build 2007;39:1211–7. [46] Cengel YA, Boles MA. Thermodynamics: an engineering approach. 4th ed. McGraw-Hill; 2002. [47] Bejan A, Tsatsaronis G, Moran M. Thermal design and optimization. New York: Wiley; 1996. [48] Nikulshin V, Wu C, Nikulshina V. Exergy efficiency calculation of energy intensive systems by graphs. Int J Thermodyn 2002;5:67–74. [49] Nikulshin V, Wu C, Nikulshina V. Exergy efficiency calculation of energy intensive systems. Exergy Int J 2002;2:78–86. [50] Nikulshin V, Wu C. Thermodynamic analysis of energy intensive systems based on exergy-topological models. Exergy Int J 2001;1:173–9. [51] Nikulshin V, Bailey M, Nikulshin V. Thermodynamic analysis of air refrigerator on exergy graph. Therm Sci 2006;10:99–110. [52] Stine WB, Geyer M. Power cycles for electricity generation. In: Power from the sun, 2001. [last checked March 2009]. [53] Klein SA. Engineering Equation Solver (EES), Academic Professional version; 2008.