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Numerical investigation of thermoacoustic refrigerator at weak and large amplitudes considering cooling effect Ali Namdar, Ali Kianifar, Ehsan Roohi Department of Mechanical Engineering, Ferdowsi University of Mashhad, P.O. Box: 91775-1111, Mashhad, Iran article info Article history: Received 28 April 2014 Received in revised form 3 November 2014 Accepted 6 January 2015 Available online 17 January 2015 Keywords: Thermoacoustic refrigerator OpenFOAM Successful operation abstract In this paper, OpenFOAM package is used for the first time to simulate the thermoacoustic refrigerator. For simulating oscillating inlet pressure, we implemented cosine boundary condition into the Open- FOAM. The governing equations are the unsteady compressible Navier–Stokes equations and the equa- tion of state. The computational domain consists of one plate of the stack, heat exchangers, and resonator. The main result of this paper includes the analysis of the position of the cold heat exchanger versus the displacement of the pressure node at large amplitude for successful operation of the refriger- ator. In addition, the effect of the input power on the successful operation of the apparatus has been investigated. It is observed that for higher temperature difference between heat exchangers, the time of steady state solution is longer. We show that to analyze and optimize the thermoacoustic devices, both heat exchangers should be considered, coefficient of performance (COP) should be checked, and the suc- cessful operation of the refrigerator should be evaluated. Ó 2015 Elsevier Ltd. All rights reserved. 1. Introduction A thermoacoustic refrigerator is a device that transfers heat from a low-temperature reservoir to a high-temperature reservoir by utilizing acoustic power. The standing wave thermoacoustic refrigerators consist mainly of four parts: acoustic driver, resona- tor, heat exchangers, and stack. The acoustic driver is attached to the resonator filled with a gas. In the resonator, the stack consist- ing of many parallel plates and two heat exchangers are installed as illustrated in Fig. 1. The acoustic driver sustains an acoustic wave in the gas at the fundamental resonance frequency of the res- onator. The standing wave displaces the gas in the channels of the stack. The thermal interaction between the oscillating gas and the surface of the stack transfers heat from the cold side to the hot edge. The heat exchangers exchange heat between the apparatus and reservoirs. Thermoacoustic devices use no moving parts, no exotic and poi- son materials; therefore, they seem to have the immediate poten- tial to have comparably high reliability and low cost [1]. Cao et al. [2] simulated an oscillating gas near a 1D isothermal stack and computed energy flux density in thermoacoustic devices. Unusual vertical energy flux is found near the ends of the stack plate within an area whose length scale is proportional to the gas displacement amplitude. Worlikar and Knio [3] used an overall method consist- ing of a quasi-1D computation scheme for resonator and a multi- dimensional vorticity/stream-function potential formulation for the detailed simulation of flow around the stack. They demon- strated that the 1D code is capable of representing wave amplifica- tion through heat addition for weakly-nonlinear acoustic. Worlikar et al. [4] further extended their previous work by solving the energy equation in the fluid and the stack plates. They imple- mented fast Poisson solver for the velocity potential based on the domain decomposition/boundary Green’s function technique. They predicted the steady state temperature gradient across a two- dimensional couple and analyzed its dependence on the amplitude of the resonant wave. Ishikawa and Mee [5] used PHOENICS com- mercial code and solved 2D full Navier–Stokes equations and sim- ulated flow near an isothermal zero thickness stack. They examined solver results in the form of energy vectors, particle paths, and overall entropy generation rates. It is observed that, the time-averaged heat transfer to and from the plates is concen- trated at the edges of the plates. In constant Mach number, the width of the region where there is substantial heat transfer decreases as the plate spacing is reduced. Tasnim and Fraser [6] simulated a conjugate heat transfer in the thermoacoustic refriger- ator. They solved unsteady compressible Navier–Stokes and energy equations with commercial code STAR-CD, and illustrated flow and thermal fields during a cycle. Ke et al. [7] used self-written pro- gram of the compressible SIMPLE algorithm and carried out http://dx.doi.org/10.1016/j.cryogenics.2015.01.005 0011-2275/Ó 2015 Elsevier Ltd. All rights reserved. Corresponding author. Tel./fax: +98 513 8763304. E-mail address: [email protected] (E. Roohi). Cryogenics 67 (2015) 36–44 Contents lists available at ScienceDirect Cryogenics journal homepage: www.elsevier.com/locate/cryogenics

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Cryogenics 67 (2015) 36–44

Contents lists available at ScienceDirect

Cryogenics

journal homepage: www.elsevier .com/locate /cryogenics

Numerical investigation of thermoacoustic refrigerator at weak and largeamplitudes considering cooling effect

http://dx.doi.org/10.1016/j.cryogenics.2015.01.0050011-2275/� 2015 Elsevier Ltd. All rights reserved.

⇑ Corresponding author. Tel./fax: +98 513 8763304.E-mail address: [email protected] (E. Roohi).

Ali Namdar, Ali Kianifar, Ehsan Roohi ⇑Department of Mechanical Engineering, Ferdowsi University of Mashhad, P.O. Box: 91775-1111, Mashhad, Iran

a r t i c l e i n f o

Article history:Received 28 April 2014Received in revised form 3 November 2014Accepted 6 January 2015Available online 17 January 2015

Keywords:Thermoacoustic refrigeratorOpenFOAMSuccessful operation

a b s t r a c t

In this paper, OpenFOAM package is used for the first time to simulate the thermoacoustic refrigerator.For simulating oscillating inlet pressure, we implemented cosine boundary condition into the Open-FOAM. The governing equations are the unsteady compressible Navier–Stokes equations and the equa-tion of state. The computational domain consists of one plate of the stack, heat exchangers, andresonator. The main result of this paper includes the analysis of the position of the cold heat exchangerversus the displacement of the pressure node at large amplitude for successful operation of the refriger-ator. In addition, the effect of the input power on the successful operation of the apparatus has beeninvestigated. It is observed that for higher temperature difference between heat exchangers, the timeof steady state solution is longer. We show that to analyze and optimize the thermoacoustic devices, bothheat exchangers should be considered, coefficient of performance (COP) should be checked, and the suc-cessful operation of the refrigerator should be evaluated.

� 2015 Elsevier Ltd. All rights reserved.

1. Introduction

A thermoacoustic refrigerator is a device that transfers heatfrom a low-temperature reservoir to a high-temperature reservoirby utilizing acoustic power. The standing wave thermoacousticrefrigerators consist mainly of four parts: acoustic driver, resona-tor, heat exchangers, and stack. The acoustic driver is attached tothe resonator filled with a gas. In the resonator, the stack consist-ing of many parallel plates and two heat exchangers are installedas illustrated in Fig. 1. The acoustic driver sustains an acousticwave in the gas at the fundamental resonance frequency of the res-onator. The standing wave displaces the gas in the channels of thestack. The thermal interaction between the oscillating gas and thesurface of the stack transfers heat from the cold side to the hotedge. The heat exchangers exchange heat between the apparatusand reservoirs.

Thermoacoustic devices use no moving parts, no exotic and poi-son materials; therefore, they seem to have the immediate poten-tial to have comparably high reliability and low cost [1]. Cao et al.[2] simulated an oscillating gas near a 1D isothermal stack andcomputed energy flux density in thermoacoustic devices. Unusualvertical energy flux is found near the ends of the stack plate withinan area whose length scale is proportional to the gas displacement

amplitude. Worlikar and Knio [3] used an overall method consist-ing of a quasi-1D computation scheme for resonator and a multi-dimensional vorticity/stream-function potential formulation forthe detailed simulation of flow around the stack. They demon-strated that the 1D code is capable of representing wave amplifica-tion through heat addition for weakly-nonlinear acoustic. Worlikaret al. [4] further extended their previous work by solving theenergy equation in the fluid and the stack plates. They imple-mented fast Poisson solver for the velocity potential based on thedomain decomposition/boundary Green’s function technique. Theypredicted the steady state temperature gradient across a two-dimensional couple and analyzed its dependence on the amplitudeof the resonant wave. Ishikawa and Mee [5] used PHOENICS com-mercial code and solved 2D full Navier–Stokes equations and sim-ulated flow near an isothermal zero thickness stack. Theyexamined solver results in the form of energy vectors, particlepaths, and overall entropy generation rates. It is observed that,the time-averaged heat transfer to and from the plates is concen-trated at the edges of the plates. In constant Mach number, thewidth of the region where there is substantial heat transferdecreases as the plate spacing is reduced. Tasnim and Fraser [6]simulated a conjugate heat transfer in the thermoacoustic refriger-ator. They solved unsteady compressible Navier–Stokes and energyequations with commercial code STAR-CD, and illustrated flow andthermal fields during a cycle. Ke et al. [7] used self-written pro-gram of the compressible SIMPLE algorithm and carried out

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Nomenclature

x longitudinal direction, my transversal direction, mu velocity field components, m s�1

u velocity in x direction, m s�1

v velocity in y direction, m s�1

V velocity magnitude, m s�1

p pressure, Pan normalDR driven ratio, pA/pm_ey energy flux density, W m�2

f frequency, Hzk thermal conductivity, W m�1 K�1

kw wave number, m�1

pA pressure amplitude, PaT temperature, KTm mean temperature, KTc cold heat exchanger temperature, KTh ambient heat exchanger temperature, Kh enthalpy, J kg�1

h0 total enthalpy, J kg�1

a speed of sound, m s�1

cp specific heat, J kg�1 K�1

R gas constant, J kg�1 K�1

pr Prandtl number

L stack length, mL1 ambient heat exchanger length, mL2 cold heat exchanger length, mL3 distance between driver and cold heat exchanger, mL4 plates thickness, mL5 half distance between plates, mL6 gap between stack and ambient heat exchanger, mL7 gap between stack and cold heat exchanger, mL8 computational domain length, mqc cooling load, Wqh rejected heat, WDt time step, sCOP coefficient of performance

Greek symbolsl dynamic viscosity, N s m�2

x angular frequency, rad s�1

a diffusivity, k/qcp

q density, kg m�3

s cycle time, sk wave length, mc ratio of specific heatsf gas parcel displacement, m

A. Namdar et al. / Cryogenics 67 (2015) 36–44 37

numerical simulation of the thermoacoustic refrigerator driven atlarge amplitude to consider nonlinear effects. Then the parametersaffecting the refrigerating performance, including position of thestack, length of the stack and the heat exchanger, thickness ofthe parallel plates, and the spacing, were investigated in detail.Zink et al. [8] considered a full 2-D thermoacoustic engine that alsoincludes a refrigerator stack. Acoustic power that was generated inthe engine part is used for cooling by the refrigerator. They used k-e turbulence model for their CFD simulation in the Fluent commer-cial code. They showed that locating cooling stack closer to thepressure node would yield to a better performance.

In the current work, we use an open source CFD software,namely, OpenFOAM. OpenFOAM benefits from an efficient andflexible implementation of complex physical models in theframework of finite volume discretization. It supports unstruc-tured, polyhedral meshes and massively parallel computing [9].The full 2D simulation of the thermoacoustic refrigerator isattempted. We aim to investigate successful operation of thedevice at weak and large amplitude. The thermoacoustic phenom-enon is illustrated in details with variations of temperature andvelocity profile. The energy flux density over stack and heatexchangers at weak and large amplitude, for the first time, is com-puted with CFD simulation and validated using the analyticalsolution.

Fig. 1. Thermoacoustic refrigerator.

In this paper, two expressions are frequently employed; ‘‘weakamplitude’’ and ‘‘large amplitude’’. For the conditions that inletdynamic pressure increases and Mach number becomes greaterthan 0.1, the results show that nonlinear effects (e.g., pressurenode displacement) influence on the operation of the apparatusand are not negligible [1]. Such conditions are defined as ‘‘largeamplitude’’. In contrast, ‘‘weak amplitude’’ is refereed to conditionsthat inlet dynamic pressure cannot delivers enough heat to theambient heat exchanger or cannot absorbs heat from the cold heatexchanger to makes COP > 0.

2. Governing equations and numerical method

The continuity, momentum and energy equations for compress-ible flow in a two-dimensional Cartesian coordinate system are asfollows:

@q@tþ divðquÞ ¼ 0; ð1Þ

@ðquÞ@tþ divðquuÞ ¼ � @p

@xþ divðl grad uÞ þ SMx; ð2Þ

@ðqvÞ@t

þ divðqvuÞ ¼ � @p@yþ divðl grad vÞ þ SMy; ð3Þ

@ðqh0Þ@t

þ divðqh0uÞ ¼ @p@tþ divðk grad TÞ þ Sh; ð4Þ

where h0 ¼ hþ 12 ðu2 þ v2Þ, h ¼ cpðT � TmÞ. The viscosity l and ther-

mal conductivity of fluid k are temperature dependent. Working gasis air, assumed to be an ideal gas, therefore, the state equation is:

p ¼ qRT: ð5Þ

Energy equation in the solid domain of the parallel-plate stackand heat exchangers is given by:

@ðqcpTÞ@t

¼ divðk grad TÞ: ð6Þ

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Table 1Parameters for the simulation.

cp,fluid = 1007 J kg�1 K�1 kw = 2p/k = 3.619 m�1

kfluid = 0.0263 W m�1 K�1 f = 200 Hzlfluid = 0.1846 � 10�4 N s m�2 DR = pA/pm = 0.01s = 1/f = 0.005 s Tm = 300 KDt = 10�5 s R = 287 J kg�1 K�1

k = a/f = 1.736 m pm = 100 kPaksolid = 1.05 W m�1 K�1 qm = 1.1614 kg m�3

cp,solid = 840 J kg�1 K�1 pr = 0.707qsolid = 2600 kg m�3 c = 1.4a ¼

ffiffiffiffiffiffiffiffiffiffiffifficRTm

p¼ 347:2 m s�1 L = 0.07 m

L1 = 0.01 m L2 = 0.005 mL3 = 0.7108 m L4 = 0.0002 mL5 = 0.0004 m L6 = 0.0002 mL7 = 0.0002 m L8 = k/2 = 0.868 m

38 A. Namdar et al. / Cryogenics 67 (2015) 36–44

Stack is made of glass with constant thermo-physicalproperties.

The above governing equations for laminar flow are solved withthe chtMultiRegionFoam solver of the OpenFOAM V.2.1.1. Theseequations are discretized using the finite volume method. GAMMAscheme is used for discretization of the convective and diffusiveterms. GAMMA is a second-order scheme and combination of theupwind differencing (UD) and central differencing (CD). In GAMMAscheme, the transition between UD and CD is smooth; this reducesthe amount of switching in the differencing scheme and improvesthe convergence [10]. A first-order fully implicit scheme isemployed for the discretization of the temporal term. The PISOalgorithm is used in order to couple the momentum and the conti-nuity equations [11].

Fig. 2 shows the computational domain, which consists of oneplate of stack and heat exchangers. Stack is located between thevelocity node and the pressure node.

Table 1 lists the parameters, which are used in thecomputations.

3. Boundary conditions

Upper and bottom boundaries of the computational domain areset as symmetry boundary conditions as follows:

v ¼ 0;@u@y¼ 0;

@p@y¼ 0;

@T@y¼ 0:

Heat exchangers are considered as constant temperature, andthe stack is considered as conjugate heat transfer boundarycondition:

Tsolid ¼ T fluid; ksolid@Tsolid

@n¼ kfluid

@T fluid

@n:

Velocity and pressure boundary conditions on stack and heatexchangers are as follows:

@p@n¼ 0; u ¼ 0; v ¼ 0:

The left boundary is located adjacent to the driver; therefore,we set the pressure equal to the inlet pressure there:

p ¼ pm þ pA cosðxtÞ: ð7Þ

Velocity at the left boundary is not zero; because this boundaryis not on a solid surface, and the exact position of the velocity nodeis unknown. Therefore, we use zero gradient boundary conditionthere:

@u@x¼ 0;

@v@x¼ 0;

@T@x¼ 0:

The right wall has the following conditions:

@p@x¼ 0;

@T@x¼ 0; u ¼ 0; v ¼ 0:

Fig. 2. Computational domain.

The initial values of pressure, temperature, and velocity are pm,Tm, and zero, respectively. The initial temperature of the stack iscrucial in determining the required time to reach a steady statesolution. Average temperature of the hot and cold heat exchangersis a suitable initial value for the stack temperature, but it is betterto set a linear function between the hot and cold heat exchangerstemperature. It is because the temperature of the stack becomesapproximately a linear function of the hot and cold heat exchang-ers temperature as the solution reaches to the steady statecondition.

These boundary conditions represent a real thermoacousticrefrigerator behavior. An acoustic wave with known pressureamplitude is driven to the apparatus, at the end of the resonatorit is reflected and contracted with another wave. As a result, astanding wave appears.

Energy flux density _ey over a cycle in the fluid domain is com-puted as follows:

_ey ¼ qv 12

V2 þ h� �

� k@T@y

; ð8Þ

where V ¼ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiu2 þ v2p

and h ¼ cpðT � TmÞ. The dissipations areneglected in Eq. (8).

4. Grid independency and validation

For a grid independency test, nine grid sizes were employed.According to Fig. 3, the cooling load of the apparatus using a gridsize of greater than 180 � 40 becomes independent of the gridscale.

Fig. 3. Grid independency.

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Fig. 4. Independency of the time step.

Fig. 5. Energy flux density over the stack, pA = 1 kPa, Tc = 297 K, Th = 300 K, andy = 0.0006 m, comparison of the current work with that of Ref. [6].

A. Namdar et al. / Cryogenics 67 (2015) 36–44 39

Fig. 4 shows the time step independency. The solution becomesindependent from the time step if we set time step smaller than0.00002 s.

For validation, in Fig. 5, we compared the energy flux densityonly over the stack of the current work with the data reported inthe literature. Tasnim and Fraser [6] simulated a stack plate atthe same conditions as the current paper. The suitable agreementbetween the present work and that of Ref. [6] indicates that oursimulation is correct.

5. Thermoacoustic phenomenon in details

Fig. 6 shows the temperature contour and the velocity profile ina thermoacoustic refrigerator. In Fig. 6(a), which corresponds tothe beginning of the cycle, let’s consider a parcel of gas that is onthe left side in the cold heat exchanger with zero velocity, whichmoves to the right. At this time, the pressure is minimum, andthe temperature of the gas parcel is lower than the cold heatexchanger, therefore, it picks up a little heat from the cold heatexchanger. Next, the gas moves to the right, see Fig. 6(b). InFig. 6(c), the velocity reduces until the gas receives to stack plateand velocity becomes 0, see Fig. 6(d). At this time, pressure is max-imum, and temperature arises more than the local temperature ofthe stack, so the parcel of gas releases the heat at a slightly higher

temperature. Then, the gas parcel comes back over the cold heatexchanger and repeats this process.

Parcels in the mid-stack are the same as the middle members ofa bucket brigade, passing heat along. At either end are parcels thatoscillate between the stack and one of the heat exchangers. At theleft end, such parcels absorb heat from the cold heat exchanger andrelease heat to the stack. At the right end, such parcels absorb heatfrom the stack and release heat to the ambient heat exchanger. InOverall, the net effect is to absorb heat from the cold heat exchan-ger and reject waste heat at the ambient heat exchanger.

Another interesting subject in oscillating flow is the variation ofthe velocity profile. Fig. 7 illustrates the velocity profile around thestack and during a short part of the cycle when the flow direction isreversed. In Fig. 7(a), gas flows to the right, then the velocity grad-ually reduces and finally it changes the direction and comes back.In Fig. 7(b) and (c), the velocity has positive and negative values, asthere is a velocity phase-shift between fluid layers due to the dis-tance from the wall. Further from the wall, the viscous stress islower; therefore, the inertial force increases and the response ofthe flow to the pressure-change becomes slower. Consequently,flow near the wall responses more quickly to the pressure-changeand moves in the reverse direction.

6. Results of the numerical simulation

Variations of the pressure and velocity during one-half of acycle with a low-pressure amplitude of 1 kPa, are plotted in Figs. 8and 9. In these plots, a cycle is divided into ten time step. As theinlet pressure amplitude is low, the pressure and velocity distribu-tions in Figs. 8 and 9 are the same as the ideal standing wave.Within the stack, the cross section reduces, therefore, the velocityincreases. At the end-wall, velocity is zero; therefore, the pressureantinode appears on this surface. Although the velocity boundarycondition at inlet is zero gradient, but considering the length ofthe device that is equal to the half of the wavelength, the contrac-tion of the waves creates a velocity node at the inlet. This observa-tion shows that our boundary conditions are correct.

Fig. 10 is provided to show weak amplitude and its effect on thecooling load. Fig. 10 shows that, for pA = 10 Pa, the apparatus can-not absorb heat from the cold heat exchange. Instead, it deliversheat to the cold heat exchanger (qc < 0). The reason of this phenom-enon is due to the weakness of the pressure amplitude; therefore,temperature fluctuation on the cold heat exchanger cannot belower than the heat exchanger temperature. As a result, the heattransfers from the gas to the cold heat exchanger. At the next stage,we increased the inlet dynamic pressure; in Fig. 10, it is clear thatcooling effect of the apparatus become positive at more than 1 kPa,but it is not sufficient. Additionally the rejected heat to the ambi-ent must be greater than the cooling load, because COP shouldbe always positive for refrigerators.

COP ¼ qc

qh � qc; ð9Þ

qc < qh ) COP > 0:

At inlet dynamic pressure more than 1–5 kPa in Fig. 10, the qc ispositive but it is greater than qh, so the COP is negative, this showsthat the apparatus does not work successfully. According to Fig. 10,for 10 kPa and greater than it, the qh is greater than qc, thereforethe COP, would be positive. The conclusion of this part is that,the inlet dynamic pressure should be set correctly according tothe temperature of heat exchangers. Therefore, in the design ofthe thermoacoustic devices, it is necessary to consider the stackand cold heat exchangers to be sure that COP is positive. In manyprevious studies (e.g., Ref. [7]) one heat exchanger or both of themhave been ignored.

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Fig. 6. Temperature contour and velocity profile during one cycle in the fluid domain, pA = 1 kPa, Tc = 297 K, and Th = 300 K.

40 A. Namdar et al. / Cryogenics 67 (2015) 36–44

The cooling power of the cold heat exchanger and rejected heatof the ambient heat exchanger versus time, with pA = 10 kPa, areshown in Fig. 11. Fig. 11 shows that the solution reaches the steadystate after 10 s. Additionally, the rejected heat from the ambientheat exchanger is greater than the cooling load. This observationshows that the refrigerator works successfully.

We compare the energy flux density over the stack and heatexchangers with analytical results of Piccolo [12]. Figs. 12 and 13at low inlet pressure and Figs. 14 and 15 at large amplitude havealmost the same shapes, because two investigations have approx-imately the same operating conditions.

Inflection points, over the heat exchangers, in Figs. 12 and 14,vary with pA and are related to the gas parcel displacement. Gasparcel displacement is computed as follows [1]:

d ¼ 2uA

x; ð10Þ

where uA is the velocity amplitude, which is related to the pressureamplitude, and x is the angular frequency. Therefore, at constantfrequency, the gas parcel displacement changes with pA. Forf = 200 Hz and pA = 10 kPa, the velocity amplitude is 25 m/s accord-ing to Fig. 16, therefore the gas parcel displacement is obtained as:

d ¼ 2� 252� p� 200

¼ 0:04 m:

For PA = 1 kPa, it is obtained as:

d ¼ 2� 2:32� p� 200

¼ 0:0037 m:

For pA = 1 kPa, the gas parcel displacement is lower than thelength of heat exchangers. The gas parcel transfers heat from oneside of the heat exchanger to the middle of the heat exchanger,at the next stage, it transfers heat to the upstream or stack. There-fore, the average of heat transfer over one cycle, at the middle ofthe heat exchanger is zero and at one side it will be positive andat other side it will be negative, as shown in Fig. 12 with low inflec-tion at the middle of the heat exchangers. Whereas, for pA = 10 kPathe gas parcel displacement is greater than the length of heatexchangers, therefore, the gas parcels over the cold heat exchangeronly absorb heat and deliver it to the stack. Over the ambient heatexchanger, the gas only transfers heat from the stack to the heatexchanger. This phenomenon is shown in Fig. 14, where qc overthe cold heat exchanger is always positive and qh over the ambientheat exchanger is always negative.

When the gas moves from the stack to cold heat exchanger, itspressure decreases gradually. At the left side of the cold heatexchanger, the pressure and temperature of the gas parcel are min-imum, therefore, the temperature difference, and subsequentlyabsorption of the heat from the left edge is maximum and itsamount decreases at the right edge gradually. At the right side, qc

increase, it is because of the gap between the stack and heatexchanger. The same phenomenon occurs for the ambient heatexchanger. Variation of velocity in one-half of the cycle is shown

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Fig. 7. Variation of the velocity profile during a short part of the cycle when theflow direction is reversed.

Fig. 8. Pressure distribution during half of a cycle, pA = 1 kPa, Tc = 297 K, Th = 300 K,and y = 0.0001 m.

Fig. 9. Velocity distribution during half of the cycle, pA = 1 kPa Tc = 297 K,Th = 300 K, and y = 0.0001 m.

Fig. 10. Cooling load versus inlet dynamic pressure, Tc = 297 K and Th = 300 K.

Fig. 11. Cooling load and rejected heat versus time, pA = 10 kPa, Tc = 297 K, andTh = 300 K.

A. Namdar et al. / Cryogenics 67 (2015) 36–44 41

in Fig. 16. Concerning the driven pressure-amplitude, the graph isdifferent at the inlet with Fig. 9 and the ideal standing wave.

The important point in Fig. 17 is that the pressure node is dis-placed. This note should be concerned in positioning of the plates.According to Fig. 8, that is at small amplitude as ideal standingwave, at first quarter of the cycle (0–s/4 s) the pressure on the coldheat exchanger is lower than Pm, therefore, the gas temperaturebecomes lower than the temperature of the cold heat exchanger,so the gas absorbs heat from it. This process repeats at last quarter

of cycle. If the position of cold heat exchanger concerning idealstanding wave is set near the pressure node, then displacementof pressure node at large amplitude, reduces the cooling time ofthe cold heat exchanger to the lower than of the first and last quar-

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Fig. 12. Energy flux density over stack and heat exchangers, pA = 1 kPa, Tc = 297 K,and Th = 300 K.

Fig. 13. Energy flux density over stack and heat exchangers based on the analyticalsolution, pA = 700 Pa, Tc = 297 K, and Th = 300 K [12].

Fig. 14. Energy flux density over stack and heat exchangers, pA = 10 kPa, Tc = 297 K,and Th = 300 K.

Fig. 15. Energy flux density over stack and heat exchangers based on the analyticalsolution, pA = 7 kPa, Tc = 297 K, and Th = 300 K [12].

Fig. 16. Velocity distribution during half of a cycle, pA = 10 kPa, Tc = 297 K,Th = 300 K, and f = 200 Hz.

Fig. 17. Pressure distribution during half of a cycle, pA = 10 kPa, Tc = 297 K,Th = 300 K, and f = 200 Hz.

42 A. Namdar et al. / Cryogenics 67 (2015) 36–44

ter time of the cycle, therefore, the gas cannot absorbs enough heatfrom the cold heat exchanger. Ke et al. [7] did not consider thispoint; they used large-scale plates and large inlet pressure ampli-tude. In this case, it seems that there is a problem with the coldheat exchanger, as they omitted the cold heat exchanger and thetemperature of the cold end of stack is considered for design andoptimization.

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Fig. 18. Pressure distribution during half of the cycle, pA = 15 kPa and f = 100 Hz.

Fig. 19. Velocity distribution during half of the cycle, pA = 15 kPa and f = 100 Hz.

Fig. 20. Pressure distribution at t = 8s/10 s, for f = 100 Hz and f = 200 Hz,pA = 10 kPa.

Fig. 21. Cooling load versus time of steady state solution at different temperature ofheat exchangers, pA = 10 kPa and f = 200 Hz.

A. Namdar et al. / Cryogenics 67 (2015) 36–44 43

Now, we do simulations with the condition discussed by Keet al. [7]. They considered frequency equal to 100 Hz, so the lengthof the apparatus will be two times of the present work, and forpressure amplitude, they set the 15 kPa. Pressure and velocity dis-tribution are shown in Figs. 18 and 19.

From the above figures, it is shown that the velocity and pres-sure node are displaced. In this model, the cooling load is 6 Wand the rejected heat of the ambient heat exchanger is 58 W thatis a large difference, therefore, the device does not worksuccessfully. Concerning to the comparison of Figs. 8 and 18, it isclear that in Fig. 18, the pressure graph at time 2s/10 s becomesnear the Pm, therefore, the temperature different between the gasand the cold heat exchanger to be weak and cannot absorbs heatfrom it. In this situation, the cooling time of the cold heat exchan-ger is reduced to the lower than of the first and last quarter time ofthe cycle, therefore, the gas cannot absorb enough heat from thecold heat exchanger.

To explain the pressure displacement problem, we compare theCOP of the simulation of Ke et al. [7] with Carnot COP.

COP ¼ qc

qh � qc¼ 6

58� 6¼ 0:11:

The Carnot COP is:

COPCarnot ¼Tc

Th � Tc¼ 297

300� 297¼ 99:

Therefore, the performance of this case is 0.1% of Carnot COP.This performance for a refrigerator is very low.

In this paper, in the first case the frequency was set as 200 Hz,whereas in the second case of the Ke et al. [7] the frequency wasset as 100 Hz. The frequency changes the length of the devicebecause the length of the device is usually set equal to k/2 or k/4,where k = a/f. To compare the pressure node displacement atf = 100 Hz and f = 200 Hz, we plot pressure distribution at t = 8s/10 s for f = 100 Hz and f = 200 Hz in Fig. 20. As this figure shows,the pressure node displacement for f = 100 Hz is more thanf = 200 Hz.

Another point we considered is that the temperature differenceof the heat exchanger affects the steady state solution. Fig. 21shows the steady state solution versus different temperature ofthe heat exchangers. From Fig. 21, it is clear that for more temper-ature difference between heat exchangers, the time to reach steadystate solution is longer. The reason of this fact is that, the inletacoustic power, which transfers heat between heat exchangersproduce a temperature gradient along the stack, therefore, this gra-dient should be more for larger temperature difference, and therequired time for its generation by acoustic power increases.

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44 A. Namdar et al. / Cryogenics 67 (2015) 36–44

7. Conclusions

In this paper, the stack and heat exchangers of a thermoacousticrefrigerator at weak and large amplitude are simulated. The energyflux density over the stack and heat exchangers is compared withthe analytical solution. This work has been performed with the cht-MultiRegionFoam solver in the open source CFD software Open-FOAM V.2.1.1, where we implemented cosine boundary conditionto code. The results show that the input power and temperatureof heat exchangers are affect on the steady state solution and suc-cessful operation of the refrigerator. As indicated, at weak pressureamplitude, the acoustic power cannot deliver waste heat to theambient heat exchanger. At large amplitude, one should be carefulabout the position of the cold heat exchanger, as the displacementof the pressure node due to nonlinear effects reduces the coolingtime of the cold heat exchanger, therefore, the parcel of gas cannotabsorb enough heat from it. These subjects indicate that both heatexchangers must be considered in the simulation to check COP andsuccessful operation of the apparatus.

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