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This article appeared in a journal published by Elsevier. The attached
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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
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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