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    Alleviating operating temperature of concentration solar cell by air

    active cooling and surface radiation

    Fahad Al-Amri a,*, Tapas Kumar Mallick b,1

    a College of Technology, PO Box 7650, Dammam 31472, Saudi Arabiab Environment & Sustainability Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn, Cornwall TR10 9EZ, UK

    h i g h l i g h t s

    A model has been developed to predict the solar cell temperature cooling by air.

    Cell temperature can be remarkably reduced with the presence of surface radiation.

    Cell temperature is extremely dependent on air inlet velocity and channel width.

    Conjugation effect has a noticeable effect on the maximum solar cell temperature.

    a r t i c l e i n f o

    Article history:

    Received 21 December 2012

    Accepted 24 May 2013

    Available online 6 June 2013

    Keywords:

    Concentration solar cell

    Active cooling

    Conjugate convection

    Surface radiation

    a b s t r a c t

    In the present paper, a heat transfer model for a multi-junction concentrating solar cell system has been

    developed. The model presented in this work includes the GaInP/GaAs/Ge triple-junction solar cell with a

    ventilation system in which air is forced to ow within a duct behind the solar cell assembly and its

    holders and accessories (anti-reective glass cover, adhesive material, and aluminum back plate).

    A mathematical model for the entire system is presented and the nite difference technique has beenused to solve the governing equations. Results showed that the interaction of surface radiation and air

    convection could adequately cool the solar cell at medium concentration ratios. For high concentration

    ratios, the channel width would need to be narrowed to micro-meter values to maintain the required

    efciency of cooling. The conjugation effect has been shown to be signicant and has a noticeable effect

    on the maximum solar cell temperature. Furthermore, the air inlet velocity and channel width were also

    found to have major effects on the cell temperature.

    2013 Elsevier Ltd. All rights reserved.

    1. Introduction

    The rapid growth of the worlds population and the develop-

    ment of technology have led to a growing demand for energy in the

    last decades. This has led to the growing importance of investing in

    sources of energy other than fossil fuels, which began to be

    depleted. One of the most promising sources of energy is photo-

    voltaic (PV), that is, the direct conversion of solar energy into

    electricity, which is expected to help ll the needs of the worlds

    growing demand. One of the main disadvantages of the simple

    single-junction solar cell is its lowconversion efciency. However, a

    conversion efciency exceeding 43% has recently been reported,

    with the advent of triple-junction cells[1]. This high efciency has

    been achieved through directing a high solar ux on to the solar

    cell, a system known as concentrating photovoltaics(CPV). One of

    the keyparameter in the CPV systemis the concentration ratio (CR),

    which is dened as the ratio between the aperture (area of the

    entry optical device) and the receiver (area of the receiver i.e. solar

    cell) of the device. The high solar ux at the solar cell increases the

    operating temperature of the solar cell which, in turn, leads to a

    negative power coefcient unless the cell is efciently cooled. An

    active cooling system was found to be the most cost-effective so-

    lution, using either air or water as the coolant medium [2]. Since air

    has a low heat capacity, water is the favorable option and permits

    operation at much higher concentration levels. Nevertheless, in

    some situations the use of water is limited, so air will be the

    preferred option, especially with the modern PV cells that can be

    operated up to 240 C while maintaining reasonable electric con-

    version efciency [3,4]. Moreover, higher temperatures are

    required for some applications, such as absorption cooling, which

    gives an added advantage to the use of air as a coolant medium.

    * Corresponding author. Tel.: 966 38681063.

    E-mail addresses: [email protected], [email protected](F. Al-Amri),

    [email protected] (T.K. Mallick).1 Tel.:44 (0) 1326259465.

    Contents lists available atSciVerse ScienceDirect

    Applied Thermal Engineering

    j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / a p t h e r m e n g

    1359-4311/$e see front matter 2013 Elsevier Ltd. All rights reserved.

    http://dx.doi.org/10.1016/j.applthermaleng.2013.05.045

    Applied Thermal Engineering 59 (2013) 348e354

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    Min et al.[5] developed a theoretical thermal model to predict

    the temperature of the multi-junction solar cell based on passive

    cooling systems. It was found that the heat sink area needs to in-

    crease linearly as a function of the concentration ratio in order to

    keep the cell at a constant temperature. Cotal and Frost[6] used a

    nite difference technique to predict the temperature from variousparts of a concentrator cell assembly. The effects of the thermal

    adhesive thickness and the thermal conductivity of the adhesive on

    the solar cell temperature were presented. Vincenzi et al.[7]used a

    silicon wafer with micro-channels circulating water directly

    beneath the cells in their active cooling system. Their photovoltaic

    receiver, which operated at a concentration level of 120 sun, was

    30 30 cm2 and the reported thermal resistance was

    4 105 K m2/W. Moshfegh and Sandberg [8] presented both a

    numerical and an experimental study for the ow and heat transfer

    characteristics of natural air convection behind solar cells. It was

    found that surface radiation can affect the temperature of the solar

    panel and hence its efciency. Bhargava et al. [9], Garg and Adhikari

    [10], and Adel [11] investigated performance analyses of hybrid

    photovoltaic/thermal (PV/T) air heating collectors. In these studies,

    simulation models were developed and various performance pa-

    rameters were calculated. The effects of various design and oper-

    ational parameters on the performance of the systems were

    showed and presented. Recently, Al-Amri and Mallick[12]devel-

    oped a numerical heat transfer model for a multi-junction

    concentrating solar cell system to predict the maximum cell tem-

    perature which could be cooled actively by water-forced convec-

    tion. It was found that the maximum cell temperature was strongly

    dependent on the inlet velocity and channel width. Teo et al. [13]

    experimentally investigated an active cooling system for photo-

    voltaic modules. A parallel array of ducts with an inlet/outlet

    manifold was attached tothe back of the PV panel. It was found that

    the temperature dropped signicantly, leading to an increase in the

    efciency of the solar cells of between 12% and 14% through using

    an air active cooling mechanism. Kumar et al.[14]presented a 3D

    heat transfer model for a novel concentrating photovoltaic design

    for Active Solar Panel Initiative System (ASPIS). Baig et al. [15]

    presented a review of the causes and effects of the non-uniform

    illumination on concentrator solar cell. They reviewed the

    methods for the solar cell characterization under non-uniform heat

    ux conditions and put forward several suggestions for improving

    the CPV performance by reducing the non-uniformity effect on the

    concentrator solar cells.

    Concentrating sunlight onto small photovoltaic cells produced

    the demand for the removal of a large amount of heat from a small

    area. An innovative way to remove such large amounts of heat is

    through incorporation of the micro-channels carrying coolant

    within the cells [15,16]. Tuckerman and Pease[17]pioneered the

    use of a micro-channel heat sink to cool planar integrated circuits.Later, several studies[18e20]have been performed to analyze the

    heat transfer performance and pressure drop of ows in micro-

    channels. Qu and Mudawar[21]investigated both experimentally

    and numerically the pressure drop and heat transfer performance

    of a laminar ow in a micro-channel. The dimensions of the micro-

    channel were 213 mm width and 713 mm depth. They concluded that

    the ow is still governed by the conventional conservation of mass,

    momentum, and energy equations. Recently, Micheli et al. [1]

    presented an overview of micro- and nano-technologies appli-

    cable to passive CPV cooling and associated manufacturing tech-

    nologies (such as monolithic applications). They found that carbon

    nano-tubes and high-conductive coating are the most promising

    technologies to offer the best CPV cooling performance. A critical

    assessment of the technological review has also been made.In the present study, a thermal model to actively cool the

    concentrator multi-junction solar cells by air convection with the

    aid of surface radiation is developed and presented. This in-house

    developed and validated code enabled the optimization of the

    channel width for the effective removal of heat from the CPV

    systems.

    2. Mathematical formulations

    The geometry of the triple-junction cell assembly is shown in

    Fig. 1. The assembly consists of a triple-junction GalnP/GaAs/Ge

    solar cell, a CueAgeHg front contact to the solar cell, a 2 mm glass

    cover and a 1.5 mm thick aluminum back plate. The solar cell isattached to the cover glass and rear aluminum plate via an adhesive

    material. The cooling air is forced to ow within the ducts behind

    the back plate, whose external wall is assumed to be adiabatic. The

    two walls of the duct are assumed to be gray, opaque, and diffuse.

    Moreover, in the present study, the inlet and outlet channel areas

    are assumed to be black at the ambient temperature ( TN 27 C)

    and exit bulk temperature (Te), respectively. The efciency of the

    triple-junction solar cell (h) is 0.38. The system dimensions and

    thermo-physical properties used in the simulation are summarized

    inTable 1.

    The mathematical equations governing the physical situation

    depicted in Fig. 1 are the energy conservation equations in the

    multi-walls, the equations of continuity, momentum, energy con-

    servation in the uid, and the radiation constraint equations alongeach of the two duct surfaces. Under the usual boundary layer as-

    sumptions and neglecting the axial conduction of heat in both the

    solid and uid regions, the corresponding dimensionless equations

    Fig. 1. Schematic of the system geometry.

    Table 1

    Thermo-physical properties assumed in the simulation.

    Compon ent Mate ri al L eng th

    (mm)

    Thickness

    (mm)

    Thermal

    conductivity

    W/m K

    Absorptivity

    Solar cell GuInp 10 0.1 73 0.04

    GuAs 10 0.2 65 0.40

    Ge 10 0.2 60 0.50

    Front contact Cu Ag Hg 2 0.025 300 0.15

    Glass cover Low-iron glass 10 2 12 0.04Adhesive 10 0.5 50 0.02

    Back plate Aluminum 10 1.5 238

    F. Al-Amri, T.K. Mallick / Applied Thermal Engineering 59 (2013) 348e354 349

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    that govern the conjugate laminar mixed owand the heat transfer

    in the entry eregion of the two parallel plates are:

    vV

    vY

    vU

    vZ 0 (1)

    VvU

    vY U

    vU

    vZ

    dP

    dZ

    G*rRe

    q qN v

    2U

    vY2 (2)

    VvqfvY

    UvqfvZ

    1

    Pr

    v2qf

    vY2 (3)

    v2qs

    vY2 0 (4)

    The continuity equation(1) can be written in the following in-

    tegral form:

    F

    Z1

    0

    UdY 1 (5)

    The radiation constraint equations are:

    Surface 1 (Y 0)

    Nradq4N

    1

    2

    ZRe

    2

    1 Z2Re2

    12 Nradq

    4e

    1

    2

    LZRe

    2

    1 LZ2Re212

    Z

    L

    0

    1 3232

    vqf

    vY

    Y1

    vqsvY

    Y1

    Nradq4w2 Z

    *

    1

    2

    h1 Re2ZZ0

    2i3=2

    Re dZ0 1 31

    31

    vqfvY

    Y0

    Nradq

    4w1 Z

    vqfvY

    Y0

    (6)

    where:Nrad sq31b

    4=k4f.

    Surface 2 (Y 1)

    KRs1fvqsvY

    Y1

    Nradq4N

    1

    2

    ZRe

    2

    1 Z2Re2

    12

    Nradq4e

    1

    2

    LZ

    2 Re

    1 LZ2Re2

    12

    ZL

    0

    1 31

    31

    vq

    vY

    Y0

    Nradq

    4w1 Z

    *1

    2

    h1 Re2ZZ0

    2i3=2

    Re dZ0 1 32

    32

    vqfvY

    Y1

    vqsvY

    Y1

    Nradq

    4w2

    Z vqfvY

    Y1

    (7)

    For the limiting case of absence surface radiation (i.e. 3 0), the

    above two radiation constraint equations are reduced to:

    vqfvY

    Y0

    0 (8)

    KRs1fvqsvY

    Y1

    vqfvY

    Y1

    (9)

    The conjugate convection eld equations are subject to the

    following dimensionless boundary conditions:

    ForZ 0 and 0 < Y< 1

    U 1; V P 0; q qN (10a)

    ForZ> 0 andY 0

    U V 0 (10b)

    ForZ> 0 andY 1

    U V 0 (10c)

    ForZ> 0 andY YSii1 ,i 1 and 2

    vqsvY

    YYSii1

    kRSi1ivqsvY

    YYSii1

    (10d)

    ForY YSii1 and 0< Z< Zcor (Zc Lc)< Z< L,i 3 and 4

    vqsvY

    YYSii1

    kRSi1ivqsvY

    YYSii1

    1 hasi

    1 ag aad

    KRsi f

    (10e)

    ForY YS57 and 0 < Z< Zcor (Zc Lc)< Z< L

    vqsvY

    YYS5

    7

    kRS75vqsvY

    YYS5

    7

    1 has5

    1 agaad

    KRs5f

    (10f)

    ForY YSii1 andZc Z (Zc Lc),i 3, 4, and 5

    vq

    vY

    YYSii1

    kRSi1ivq

    vY

    YYSii1

    (10g)

    ForY YS67 andZc Z (Zc Lc)

    vq

    vY

    YY

    S67

    kRS76vq

    vY

    YY

    S67

    as6

    1 ag aad

    kRs6f

    (10h)

    ForZ> 0 andY YS78

    vqvY

    YY

    S78

    kRS87 vqvY

    YY

    S78

    as7

    1 ag aad

    kRs7f(10i)

    ForZ> 0 andY YS8

    vq

    vY

    YYS8

    agkRs8f

    (10j)

    wherekRsi1i ksi1=ksi , andkRsi f ksi=kf

    3. Method of solution

    The solution is broken down into two sub-problems. The rst

    involves treating the conjugate convection eld equations (conti-

    nuity, momentum, and energy) as an initial value problem with anumerical marching technique used to obtain a solution. The sec-

    ond involves the solution of equations (6) and (7) iteratively to

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    update the wall temperatures. These updated wall temperatures

    are again used to resolve the conjugate convection eld equations.

    Then, the process is repeated until convergence is achieved. The

    rst iteration assumes no radiation (i.e. 3 0). Then, the obtained

    wall temperatures and temperature gradients are used in the in-

    tegrals of the radiation constraint equations(6) and (7)and thesetwo equations are solved iteratively by means of the Gauss-Seidel

    technique. The results obtained from the solution of equations(6)

    and (7) are then used to resolve equations (1) through (5). The

    procedure is repeated until the difference between the old and new

    values of temperatures is less than a prescribed tolerance (106

    percent in the present investigation). The ow chart inFig. 2shows

    the numerical solution methodology.

    4. Validation

    In order to validate the method of solution and the numerical

    code presented in this paper, the present results have been

    compared with the experimental work of Moshfegh and Sandberg

    [8]. In their experiment, which was used to validate their numericalmodel developed to analyze the ow and heat transfer character-

    istics of natural air convection behind photovoltaic panels, heat is

    supplied to the air gap from heating foil attached to one of the two

    vertical non composite walls. Thus, all the input heat ux is dissi-

    pated into the coolant uid through a wall and hence ag 1,h 0

    andKRs(i1)i1(for all solidesolid interfaces). A special computer

    run of the present code was conducted for [ 7 m, q 20 W/m2,

    KRs1f 18;000, 3 1,b0.23 m,uN 0.245 m/s andt0.01 m.

    Such a comparison of the heated and adiabatic wall temperatures

    obtained by the present code with those obtained experimentally

    Start

    Read input

    parameters

    Solve Equations 1-5 subject to the boundary conditions Equations

    8,9, and 10 a-j (assuming =0) by using marching technique.

    Iteration = iteration +1

    Solve Equations 6 and 7 for the two duct wall

    temperatures iteratively using Gauss-Seidel technique.

    6

    wwT ( noitareti 1) T ( noitareti ) 01

    +

    Write T values

    Stop

    Solve Equations 1-5 using

    T ( noitareti 1)w

    + and subject

    to Equations 10 a-j

    Iteration = 1

    Yes

    No

    Fig. 2. Flow chart of the numerical solution methodology.

    Fig. 3. Comparison of walls temperature between present results and [8] for

    b 0.23 m, t 0.01 m, uN 0 :245 m=s; 3 1 ; [ 7 m; q 20 W=m2;

    KRsi1i 1,KRs1f 18 ; 000.

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    surfaces of the duct should be completely matt surfaces (3 1).

    However, the solar cell can be operated at 240 C forC 100 even

    with completely shinny duct surfaces (3 0), as shown in the gure.

    Moreover, it is found that the operating cell temperature decreasesnon-linearly with increasing emissivity of the surfaces.

    The effects of inlet air velocity on the variation of the maximum

    cell temperature areshown in Fig. 6. Results are computed for three

    selected values of the inlet air velocity, namely, 8 (Re 500), 16

    (Re 1000), and 32 m/s (Re 2000). Air that enters the inlet

    channel removes heat from the hot PV cell; the heatedair leavesthe

    exit channel, which can be used for space heating, an absorption

    cooling system, or other applications. It can be seen that the

    maximum cell temperature decreases as the inlet velocity in-

    creases, as shown the gure. This, in turn, improves the electrical

    conversion efciency of the PV system and increases the collected

    thermal qualities of the air. Fig. 7 shows the variation of the

    maximum PV temperature with the concentration ratio for three

    selected values of channel width. It is observed from the gure thatthere is a signicant reduction in the maximum temperature as the

    channel width decreases, since the convective heat transfer coef-

    cient decreases with the channel width. This means that nar-

    rowing the channel width to the micro-scale value causes a great

    removal of heat from the PV system. But this also leads to a sizable

    pressure drop, which requires considerable pumping power [16].

    Moreover, increasing inlet velocity or decreasing channel width

    increases the critical concentration ratio. In the present examples

    pertinent toFigs. 6and 7, the critical concentration ratio increases

    by 52%, from 130 to 196, and by 82%, from 196 to 345, as the inlet

    velocity increases from 8 m/s (Re500) to 32 m/s (Re 2000) and

    the channel width decreases from 1 mm to 0.5 mm, respectively. In

    addition, it can be noticed fromFig. 5that the solar cell cannot be

    operated at 240 C or below for concentration ratio 200 or above

    even though with Re as high as 2000 (uN 32 m/s) and emissivity

    ashigh as 1 as long asb>1 mm. In order to operate the solar cell at

    a concentration ratio higher than 200 while maintaining reason-

    able conversion efciency, the channel width should be narrowed

    to less than 1 mm as shown in Fig. 7.

    To study the effects of the conjugation (i.e., coupling of con-

    duction and convection) on the heat transfer, three different cases

    for thicknesses values (Table 2) and thermal conductivities values

    (Table 3) of the holders and accessories for the solarcell (back plate,

    adhesive material, and transparent front cover) are studied.Figs. 8and9show the effect of thicknesses and thermal conductivities of

    the back plate, adhesive material, and transparent front cover on

    the maximum temperature of the cell. It is obvious from these two

    gures that the maximum cell temperature decreases as the ther-

    mal conductivities of the holders and accessories increase or as the

    thicknesses of these components decrease. The reason for this is

    that increasing thermal conductivities or decreasing thicknesses of

    the solid walls leads to a reduced overall resistance, resulting in a

    large amount of heat being removed from hot PV cell and hence

    improve its efciency. Thus, conductive thermal resistance has a

    noticeable effect and is considerable compared to convective

    thermal resistance. However, this effect has not been noticed for

    water[12]because of the high value of its convection heat transfer

    coefcient which mean conduction is negligible compared toconvection.

    6. Conclusions

    A numerical heat transfer model has been developed to predict

    the maximum solar cell temperature cooling actively by air-mixed

    convection with and without the interaction of radiation. It was

    found that the cell temperature can be reduced remarkably with

    the presence of surface radiation. The maximum cell temperature

    can be reduced by as much as 50%, as the duct surfaces change from

    good reectors to good emitters. In addition, results show that the

    maximum cell temperature and the critical concentration ratio are

    extremely dependent on air inlet velocity, channel width, and

    thicknesses and thermal conductivities of the solar cell holders andaccessories. For channel width higher than or equal 1 mm, it was

    found that the solar cell can be adequately cool up to concentration

    Table 2

    Thickness values (mm) used for the results generated in Fig. 7.

    Component Case I Case II Case III

    Transparent front cover 4 2 0.20

    Adhesive material 1 0.5 0.05

    Back plate 3 1.5 0.15

    Table 3

    Thermal conductivities values (W/m K) used for the results generated in Fig. 8.

    Component Case A Case B Case C

    Transparent front cover 3 12 24

    Adhesive material 12.5 50 100

    Back plate 59.5 238 476

    Fig. 8. Effect of thicknesses of solar cell holders and accessories on maximum

    temperature [uN 32 m/s, 3 0.5, b 1 mm].

    Fig. 9. Effect of thermal conductivities of solar cell holders and accessories on

    maximum temperature [uN 32 m/s, 3 0.5, b 1 mm].

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    ratio 200. However, the level of concentration could be raised up to

    345 by narrowing channel width to 0.5 mm.

    Acknowledgements

    This work was supported by King Abdulaziz City for Science andTechnology, Saudi Arabia.

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    Nomenclature

    b:channel width, mGr

    *:modied Grashof number,gbq1b4/y2Kf

    k:thermal conductivity, W/m K[: channel length, mL:dimensionless plate length, [/bRe

    p:pressure ofuid at any cross section, N/m2

    p0:pressure defect at any cross section, p ps, N/m2

    ps:hydrostatic pressure, rNgz, N/m2

    pN

    :pressure of

    uid at channel entrance, N/m

    2

    P:dimensionless pressure at any cross section, p0 pN=rNu2N

    Nrad:radiation number, sq31 b

    4=k4fq1:input heat ux, W/m

    2

    Re:Reynolds number, uob/yt: solar cell assembly thickness, mT:temperature at any point, KTN:inlet temperature,KuN:entrance axial velocity, m/su:longitudinal velocity component at any point, m/sU: dimensionless longitudinal velocity, U u/uNv:transverse velocity component at any point, m/sV:dimensionless transverse velocity,V b*v/y

    y: horizontal coordinate, mY:dimensionless horizontal coordinate, y/b

    z:vertical coordinate, mZ: dimensionless vertical coordinate, z/(b*Re)

    Greek symbols

    y: kinematic uid viscosityr: uid density, kg/m3

    m:dynamic uid viscosity, kg/m sa:absorptivityh:efciency of the solar cellq: dimensionless temperature at any point [kfT/q1 b]qN:dimensionless inlet temperature at any point [kfTN/q1 b]3:wall emissivitys: StefaneBoltzmann constant 5.67 108 W/m2 K4

    Subscriptsad:adhesive materialc:a CueAgeHg front contacte: exit

    f: uidg:glasss:solidw:wall of the channelN: ambient or inlet1:duct wall atY 0

    2:duct wall atY 1

    F. Al-Amri, T.K. Mallick / Applied Thermal Engineering 59 (2013) 348e354354