Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator
Characteristics of basic silicon solar cells are experimentally researched and theoretically modeled using photons of incandescent lamps as sunlight simulator. It was established that increasing temperature evokes significant acceleration of short-circuit current growth. The reason of it is the shif...
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Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2015
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| Cite this: | Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator / A.V. Sachenko, V.P. Kostylyov, R.M. Korkishko, M.R. Kulish, I.O. Sokolovskyi, V.M. Vlasiuk, D.V. Khomenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 259-266. — Бібліогр.: 18 назв. — англ. |
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nasplib_isofts_kiev_ua-123456789-1212122025-02-09T17:15:53Z Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator Sachenko, A.V. Kostylyov, V.P. Korkishko, R.M. Kulish, M.R. Sokolovskyi, I.O. Vlasiuk, V.M. Khomenko, D.V. Characteristics of basic silicon solar cells are experimentally researched and theoretically modeled using photons of incandescent lamps as sunlight simulator. It was established that increasing temperature evokes significant acceleration of short-circuit current growth. The reason of it is the shift of simulator spectrum to the higher wavelengths region as compared to the Sun one. This effect leads to a reduction in efficiency decrease for simulated sunlight with the increase of temperature. It should be taken into account in efficiency loss calculation with increase in the operating temperature. It has been shown that the results of theoretical modeling the temperature dependences for the short-circuit current density, open-circuit voltage and photoconversion efficiency are in good agreement with the experimental data obtained using the sunlight simulator. These results could be used to develop methods for investigation of temperature dependences of solar cell characteristics by using various sunlight simulators. 2015 Article Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator / A.V. Sachenko, V.P. Kostylyov, R.M. Korkishko, M.R. Kulish, I.O. Sokolovskyi, V.M. Vlasiuk, D.V. Khomenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 259-266. — Бібліогр.: 18 назв. — англ. 1560-8034 DOI: 10.15407/spqeo18.03.259 PACS 88.40.hj, 88.40.jj https://nasplib.isofts.kiev.ua/handle/123456789/121212 en Semiconductor Physics Quantum Electronics & Optoelectronics application/pdf Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
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Characteristics of basic silicon solar cells are experimentally researched and theoretically modeled using photons of incandescent lamps as sunlight simulator. It was established that increasing temperature evokes significant acceleration of short-circuit current growth. The reason of it is the shift of simulator spectrum to the higher wavelengths region as compared to the Sun one. This effect leads to a reduction in efficiency decrease for simulated sunlight with the increase of temperature. It should be taken into account in efficiency loss calculation with increase in the operating temperature. It has been shown that the results of theoretical modeling the temperature dependences for the short-circuit current density, open-circuit voltage and photoconversion efficiency are in good agreement with the experimental data obtained using the sunlight simulator. These results could be used to develop methods for investigation of temperature dependences of solar cell characteristics by using various sunlight simulators. |
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Sachenko, A.V. Kostylyov, V.P. Korkishko, R.M. Kulish, M.R. Sokolovskyi, I.O. Vlasiuk, V.M. Khomenko, D.V. |
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Sachenko, A.V. Kostylyov, V.P. Korkishko, R.M. Kulish, M.R. Sokolovskyi, I.O. Vlasiuk, V.M. Khomenko, D.V. Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator Semiconductor Physics Quantum Electronics & Optoelectronics |
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Sachenko, A.V. Kostylyov, V.P. Korkishko, R.M. Kulish, M.R. Sokolovskyi, I.O. Vlasiuk, V.M. Khomenko, D.V. |
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Sachenko, A.V. |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator |
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Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
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2015 |
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Peculiarities of the temperature dependences of silicon solar cells illuminated with light simulator / A.V. Sachenko, V.P. Kostylyov, R.M. Korkishko, M.R. Kulish, I.O. Sokolovskyi, V.M. Vlasiuk, D.V. Khomenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 259-266. — Бібліогр.: 18 назв. — англ. |
| series |
Semiconductor Physics Quantum Electronics & Optoelectronics |
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| fulltext |
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
259
PACS 88.40.hj, 88.40.jj
Peculiarities of the temperature dependences of silicon solar cells
illuminated with light simulator
A.V. Sachenko, V.P. Kostylyov, R.M. Korkishko, M.R. Kulish, I.O. Sokolovskyi, V.M. Vlasiuk,
D.V. Khomenko
V. Lashkaryov Institute of Semiconductor Physics, NAS of Ukraine,
45, prospect Nauky, 03028 Kyiv, Ukraine,
E-mail: sach@isp.kiev.ua
Abstract. Characteristics of basic silicon solar cells are experimentally researched and
theoretically modeled using photons of incandescent lamps as sunlight simulator. It was
established that increasing temperature evokes significant acceleration of short-circuit
current growth. The reason of it is the shift of simulator spectrum to the higher
wavelengths region as compared to the Sun one. This effect leads to a reduction in
efficiency decrease for simulated sunlight with the increase of temperature. It should be
taken into account in efficiency loss calculation with increase in the operating
temperature. It has been shown that the results of theoretical modeling the temperature
dependences for the short-circuit current density, open-circuit voltage and
photoconversion efficiency are in good agreement with the experimental data obtained
using the sunlight simulator. These results could be used to develop methods for
investigation of temperature dependences of solar cell characteristics by using various
sunlight simulators.
Keywords: silicon solar cell, photoconversion efficiency, sunlight simulator.
Manuscript received 02.03.15; revised version received 05.06.15; accepted for
publication 03.09.15; published online 30.09.15.
1. Introduction
Characterization of the solar cell (SC) parameters by
using AM0 and AM1.5 sunlight simulators is developed
rather good [1-6], however methods for measuring the
temperature dependences of SC characteristics only par-
tially take into account peculiarities of physical pro-
cesses occurring in SC. With certain restrictions, tempe-
rature dependences of SС characteristics were described
in monographs [7, 8]. But there is no specific physical
analysis for the case of incandescent lamps in standards
[1-6] or in the monographs [7, 8]. Our researches show
that the short-circuit current temperature growth is sub-
stantially increased and the temperature fall of photocon-
version efficiency is decreased in this case. This is cau-
sed by the shift of the spectral maximum to long-wave
region with blackbody effective temperature decrease.
The effect should be taken into account in measure-
ments of temperature dependences of SC characteristics
when using sunlight simulators. Since the SC operational
temperature is almost always greater than 298 K (25 ºC),
the temperature coefficient of photoconversion
efficiency for sunlight simulator can significantly differ
from that for natural conditions. The reason of this
difference lies in the red shift for most of incandescent
lamp spectra relatively to the Sun spectrum.
This difference is particularly essential for SCs
manufactured using high-quality silicon exhibiting high
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
260
values of bulk lifetimes and diffusion lengths. As far as
the current growing coefficient of such SC, especially
for natural terrestrial conditions, is significantly lower
than that under sunlight simulator, the photoconversion
efficiency for simulator will decrease to lower values
than for natural conditions.
An experimental study of the temperature
dependences for short-circuit current, open-circuit
voltage, photoconversion efficiency and temperature
coefficient of photoconvertion efficiency for silicon SCs
with high volume lifetimes under sunlight simulator
utilizing incandescent lamps have been presented in this
paper. A comparison of the experimental results with the
theory that takes into account formation of the open-
circuit voltage in structures with high bulk lifetimes has
been performed. It has been shown that the agreement
between experimental data and theory is quite well. In
addition, the temperature dependences of SC
characteristics have been calculated theoretically for
extraterrestrial conditions (AM0). It has been ascertained
that these dependences significantly differ from those for
the sunlight simulator.
These results can be used to develop methodologies
for studying the temperature dependences of SC
characteristics using various solar simulators.
2. The experimental results
The temperature dependences of short-circuit current
density JSC, open-circuit voltage VOC and efficiency η
were investigated using five samples. The first sample
was heterojunction with a thin intrinsic layer (HIT) SC,
the other four ones were silicon SCs with p–n junctions,
three of them were almost identical. Measurements were
conducted for one HIT SC and one silicon SC with
diffused p–n junction by using AM1.5 conditions, as
well as for two silicon SCs with diffused p–n junctions
by using AM0 conditions. Diffused p–n junction silicon
SC with a small bulk lifetime was measured under AM0
conditions for comparison.
We emphasize that AM0 and AM1.5 simulation by
using incandescent lamps means normalization of
maximum short-circuit density to 53.65 and
43.18 mA/cm2, respectively, for T = 25 ºC.
Measurements were based on the international and
national standards [1-6]. Relative error was less than
±0.1% for the short-circuit current, ±0.05% for the open-
circuit voltage and ±1% for the photoconversion
efficiency.
The initial silicon parameters and main SC
characteristics for AM1.5 and AM0 conditions are
shown in Table.
All examined SCs were manufactured from n-type
silicon. Samples 1-4 had a great bulk lifetime. These
samples satisfy inequality L > d, where L is the diffusion
length for non-equilibrium electron-hole pairs. The first
sample (the so-called HIT SC) has the smallest surface
recombination velocity equal to 40 cm/s. HIT SC
manufacturing includes cleaning the crystalline silicon
substrate, texturing the surfaces (formation of the
pyramidal surface relief), deposition of undoped
hydrogenated amorphous silicon α-Si:H layer with the
approximately 10-nm thickness on both surfaces. The
front anisotype n-cSi/(p+) α-Si:H heterojunction and rear
isotype n-cSi/(n+) α-Si:H heterojunction were formed
next. To reduce the series resistance on both surfaces,
the transparent conductive layers were deposited from
the mixture of indium and tin oxides (ITO), which
followed by low-temperature annealing. Finally, the grid
contact was deposited on the front surface, and the solid
contact was deposited on the rear surface.
Samples 2-4 were manufactured using the same
technology, and they had diffused p–n junctions. The p-
type region of p–n junctions with 0.6 to 0.8-μm depth
was formed near the front surface by the boron diffusion.
The isotype n–n+ junction was formed near the rear
surface by using phosphorus diffusion. To reduce the
surface recombination rate and thermal oxidation,
circumferential etching of p–n junction was done.
However, as Table shows, the surface recombination
Sample
#
АМ
1.5 АМ0 Nd,
cm–3
d,
μm
bτ ,
ms
S,
cm/s
JSC,
mА/cm2
VOC,
V
∗
sR ,
Ohm·cm2
η,
%
1 + 1.6·1015 300 1.4 40 29.9 0.675 5.7 12.3
2 + 3.1·1015 380 0.4 200 30.6 0.631 0.15 16
3 + 3.1·1015 380 0.4 380 40.5 0.630 1.1 14.5
4 + 3.1·1015 380 0.4 330 40.4 0.631 1.18 14.3
5 + 3.1·1015 380 0.018 3500 26.7 0.556 1.1 8.27
Note. Here, Nd is the doping concentration, d – thickness of the sample, bτ – bulk lifetime, S – surface recombination
velocity, *
sR – product of series resistance on the sample area.
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
261
velocity S for SCs with diffused p–n junctions is not
lowered to the values close to 40 cm/s (obtained for HIT
SCs).
The fifth sample was also made on n-type silicon
with the high bulk lifetime, but during thermal oxidation
temperature was higher. So, the bulk lifetime fell
significantly.
3. Modeling the temperature dependences
of the basic silicon solar cell characteristics
when using the simulated sunlight
At first, let us to analyze the temperature dependence of
short-circuit current density JSC. In general, we can write
( ) ∫
λ
λ
λλλ−=
)(
0
)(),(1)(
T
cLSC
m
dITqrqTJ , (1)
where q is the elementary charge, rL is the average
photocurrent loss factor associated with reflection,
incomplete light absorption and presence of a contact grid
on the front surface, λm(T) = 1.24/Eg(T) – limit of the
photoelectric effect (absorption edge), Eg (T) – bandgap,
λ0 – SC blue limit, qc(λ,Τ) – photocurrent collection
coefficient, I(λ) – spectral dependence of the rate of
electron-hole pair generation in semiconductor that de-
pends on the sunlight or sunlight simulator characteristics.
For black or grey body as a radiation source,
according to Planck’s formula
( ) ∫
λ
λ
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
λ
λ
λλ
−=
)(
4
0
0 1exp
),(
1)(
T
r
c
LSC
m
kT
hc
dTq
BrqTJ , (2)
where B0 is a constant, h – Planck’s constant, c – light
velocity, k – Boltzmann constant, Tr – black body
temperature.
( )20 /2 ss DrcB π= for AM0 conditions [9]. Here,
rs is the radius of Sun, DS – distance from Earth to Sun,
TS = 5800 K, T = 298 K. For the sunlight simulator with
an incandescent lamp, the photocurrent equality for the
photocurrent generated by Sun and photocurrent
generated by the lamp can be written as
,
1
λ
expλ
λ),λ()(
1
λ5800
expλ
λ),λ(π2
)298(λ
4
)298(
4
2
0
0
∫
∫
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
⋅=
=
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
⋅⎟⎟
⎠
⎞
⎜⎜
⎝
⎛ λ
λ
K
λ
L
c
L
K
c
s
s
m
m
kT
ch
dTqRf
k
ch
dTq
D
rc
(3)
where TL is the temperature of the incandescent lamp,
f (RL) – function that describes the intensity of simulated
radiation at the distance RL to SC.
The short-circuit current density JSC temperature
growth for AM0 conditions can be described by the factor
.
1exp
),(
1exp
),()(
1
)298(
4
)(λ
λ 4
0
0
−
λ
λ
⎟
⎟
⎟
⎟
⎟
⎠
⎞
⎜
⎜
⎜
⎜
⎜
⎝
⎛
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
λ
λ
λλ
×
×
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
λ
λ
λλ
=
∫
∫
K
r
c
T
r
c
m
m
kT
hc
dTq
kT
hc
dTqTF
(4)
For dL >> , 1)( ≈λcq and (4) can be simplified to
.
1exp
1exp
)(
1
)298(
4
)(
4
0
0
−
λ
λ
λ
λ
⎟
⎟
⎟
⎟
⎟
⎟
⎠
⎞
⎜
⎜
⎜
⎜
⎜
⎜
⎝
⎛
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
λ
λ
λ
×
×
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
λ
λ
λ
=
∫
∫
K
r
T
r
m
m
kT
hc
d
kT
hc
dTF
(5)
In this case, JSC (T) = JSC (25 °C) F(T).…
Fig. 1 shows the theoretical spectral dependence of
radiation intensity normalized to the maximum value,
and Fig. 2 shows F(T) dependences for silicon SC
plotted using the expression (5). The figures correspond
to different illuminations. The AM1.5 curve of Fig. 2
was calculated by the numerical methods using the
standard procedure [10, 11]. Fig. 1 shows that the lower
is the radiation temperature, the larger is the red shift of
spectral distribution. Since mλ increases with ambient
temperature growth, F increases with Tr decrease.
Fig. 1. Solar spectral irradiance distributions.
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
262
Fig. 2. Silicon SCs short-circuit current temperature
dependences for different spectral irradiance distributions.
Comparing the F values for Tr = 5800 K (temperature
of solar radiation) and Tr = 2800 K (incandescent lamp
temperature), one can see that for the SC temperature
growth from 25 to 65 °C, the short-circuit current JSC
increases by 3% for Tr = 2800 K and 1% for Tr =
5800 K. Thus, the use of solar simulators with
incandescent lamps leads to a significant increase in the
rate of short-circuit current temperature growth. This
effect must be considered in the study of temperature
dependences of the key SC characteristics first of all
for the short-circuit current and photoconversion
efficiency.
As stated above, L > d condition is valid for the
samples 1–4. Therefore, modeling temperature
dependences for the open-circuit voltage VOC and
efficiency η can be done using the theory proposed in
[12], which takes into account the possibility of non-
linear excitation ( dNp ≥Δ , when the excess
concentration of electron-hole pairs takes place in the
base).
According to [12], in the case of n-type base the
open-circuit voltage VOC can be found using the
expression:
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛ Δ
++⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛ Δ
≅
di
d
OC N
p
q
kT
Tn
Np
q
kTV 1ln
)(
ln 2 , (6)
where T is SC temperature, )(Tni is the intrinsic charge
carriers concentration in silicon.
The excessive concentration of electron-hole pairs
pΔ can be found from the generation and recombination
balance equation [12]
pSdqJ
b
SC Δ⎥
⎦
⎤
⎢
⎣
⎡
+
τ
=/ . (7)
Here, JSC is the short-circuit current density,
( ) 11
Auger
1 )(
−−− τ+Δ++τ=τ pNA dSRb – bulk lifetime, SRτ –
Shockley-Read-Hall lifetime, /scm103.6 315−⋅≈A [13] –
radiative recombination coefficient in silicon, Augerτ –
interband Auger recombination lifetime:
( ) ( )21
Auger pNCppNC dndp Δ++ΔΔ+=τ− , (8)
where ⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
Δ+
⋅
+⋅=
−
−
5.0
22
31
)(
105.2108.2
pN
C
d
n cm6/s,
/scm10 631−=pC [14, 15]; dSSS += 0 is the sum of
surface recombinations on the front S0 and rear Sd
surfaces. The expression (6) is a quadratic equation by
pΔ . It can be solved as
⎟
⎠
⎞
⎜
⎝
⎛++−=Δ
kT
qVnNNp OC
i
dd exp
42
2
2
. (9)
To get Δp(V) function, we can replace VOC in (9) by the
forward bias V:
⎟
⎠
⎞
⎜
⎝
⎛++−=Δ
kT
qVnNNVp i
dd exp
42
)( 2
2
. (10)
SC photocurrent density in the V < VOC range is
)()( rec VJJVJ SC −= , (11)
where
)()(rec VpSdqVJ
b
Δ⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
+
τ
= . (12)
Eq. (12) is the expression for SC current-voltage
characteristic in quadratures, which takes into account
the complex bulk lifetime bτ dependence on the excess
concentration Δp(V).
For the maximum power take-off condition
0/))(( =dVVVJd , the photovoltage Vm and current
density Jm can be found. The photoconversion efficiency
η for silicon SC with a unit area and series resistance Rs
can be written as
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
−=η
m
sm
S
mm
V
RJ
P
VJ 1 , (13)
where Ps is the power of incident solar radiation.
For the L < d/2 case (sample No. 5), the general
expression (1) must be used to calculate the short-circuit
current and its temperature increase. In this case, the
expression for photocurrent collection has the form
)(),(1
)(),(),(
TLT
TLTTq
λα+
λα
=λ , (14)
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
263
where ),( Tλα is the light absorption coefficient for
semiconductor.
In the case of small bulk lifetimes bτ , the excess
concentration pΔ is low, as compared to the
concentration of majority carriers, so the open-circuit
voltage VOC can be found using the formula
( )
( )
( ) ( )⎟⎟
⎟
⎟
⎟
⎠
⎞
⎜
⎜
⎜
⎜
⎜
⎝
⎛
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
+
≅
Tn
TL
TDSq
NTJ
q
kTV
i
dSC
OC
2
ln
(15)
where D(T) is the diffusion coefficient for holes.
The photoconversion efficiency η for the unit area
SC under AM1.5 illumination is
.1
ln
11
1.0
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
−×
×
⎟
⎟
⎟
⎟
⎠
⎞
⎜
⎜
⎜
⎜
⎝
⎛
⎟
⎠
⎞
⎜
⎝
⎛
−⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
−≅η
OC
SCs
OC
OC
OC
OCSC
V
JR
qV
kT
qVkT
qV
kTVJ
(16)
It should be noted that the temperature dependences of
photoconversion efficiency η are primarily determined
by the open-circuit voltage VOC and fill factor FF of
current-voltage characteristic [7, 8, 16, 17]. VOC and FF
decrease is mainly caused by the intrinsic concentration
ni exponential growth with temperature
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
⎥⎦
⎤
⎢⎣
⎡−∝ kT
qEn g
i 2exp . The larger the semiconductor
band gap Eg, the less the temperature decrease of the
coefficient β for the photoconversion efficiency η.
To calculate the temperature dependence for the
open-circuit voltage VOC, we must take into account
)(Tni dependence as well as temperature dependences
for the Shockley-Read-Hall lifetime SRτ , radiative
recombination lifetime, Auger recombination lifetime
and surface recombination velocity. Finally, the short-
circuit current density JSC temperature dependence
should be considered. Since these dependences are
mostly power laws (opposed to the exponential ni(T)
dependence), they will in general give small corrections
to VOC(T) dependence as compared to ni (T) contribution.
Let us analyze these dependences.
For the arbitrary excitation, SRτ has the following
form
where )()( TVTC ppp σ= and )()( TVTC nnn σ= are
electrons and holes capture coefficients inherent to the
recombination center, Ei is the energy position and Nt –
concentration of recombination centers. As shown in
[18], the holes capture cross section )(Tpσ depends on
temperature as 2−T for neutral recombination centers
and as 1−T up to 3−T for the attractive centers.
Therefore, at low excitation levels, taking into account
the thermal velocity temperature dependence, we
obtained 2/3
SR T∝τ for 2)( −∝σ TTp [8]. For the
repulsive center ( )( )3/1
0 /exp)( TTTp −∝σ [18]. In this
case )(SR Tτ decrease with temperature increase. It
should be noted that in this case the )(Tpσ dependence
is significantly weaker than the ni (T) dependence.
)(SR Tτ variation with the temperature increase
from 25 up to 65 °C, as compared to ni (T) variation, is
estimated as not exceeding 0.5% for Si under low
excitation. )(SR Tτ dependence is weak compared to
2/3T or even absent for sufficiently high excitation
( dNp ≥Δ ). The situation with Augerτ temperature
dependences is similar [18]. rτ exceeds s10 2− for the
doping of about 315cm10 − , so the radiative
recombination could be neglected relative to Shockley-
Read-Hall recombination.
The temperature dependence of the surface
recombination velocity S in silicon SC has not been
investigated in detail. However, it is expected that S(T)
dependence and temperature dependence of the bulk
lifetime obey power laws. Therefore, in further
calculations it can be assumed that S(T) dependence may
be neglected.
In silicon, with the doping level of 315cm10 − D
depends on temperature approximately as 2.1−T .
So, the temperature dependences of short-circuit
current density and the intrinsic carriers concentration
have to be taken into account in the temperature
dependences modeling for the key characteristics of the
samples 1-4. For the sample 5, temperature dependences
of the bulk lifetime and minority carrier diffusion
coefficient have to be considered.
Figs. 3 to 5 present experimental data for short-
circuit current density JSC, open-circuit voltage VOC and
efficiency η, respectively. The numbers of curves
correspond to those of the samples listed in Table.
Experimental parameters are compared with the
theoretically predicted ones. Calculations for the
samples 1-4 were made using the expressions (6)-(13).
( )( ) ( )( )
( )pnNTCTC
kTETnpnTCkTETnppTC
tnp
iiniip
Δ+
−+Δ+++Δ+
≡τ
0
00
SR )()(
/exp)()(/exp)()(
, (17)
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
264
Fig. 3. Silicon SCs short-circuit current temperature
dependences for various samples. Points for experiment, lines
for the theory. The numbers of curves correspond to those of
the samples listed in Table.
Fig. 4. Silicon SCs open-circuit voltage temperature
dependences for various samples. Points for experiment, lines
for the theory. The numbers of curves correspond to those of
the samples listed in Table.
Fig. 5. Silicon SCs photoconversion efficiency temperature
dependences for various samples. Points for experiment, lines
for the theory. The numbers of curves correspond to those of
the samples listed in Table.
Formulas (14)-(17) were used for the sample 5. A good
agreement between the experimental and calculated
parameters is obvious.
Fig. 6 shows the results for the average temperature
fall coefficient )(Tβ of photoconversion efficiency. The
numbers of curves correspond to those of the samples
listed in Table. To calculate )(Tβ dependence (in
percent), we used the expression
( )( )200
)()(
)()()(
00
0
TTTT
TTT
−η+η
η−η
=β , (18)
where T0 is the starting temperature, which in this case is
equal to 298 K (25 °C).
Fig. 6 shows that the )(Tβ values vary quite
widely. The samples 2 to 4 have the minimal )(Tβ
values (near 0.35…0.4 %/K). )(Tβ values for samples 1
and 5 are higher. The sample 5 has the greatest )(Tβ
maximum value (more than 0.5 %/K). )(Tβ values
depend on the bulk and surface recombination total
velocity. This velocity is lower, the less is the )(Tβ
value. On the other hand, the large series resistance RS
causes )(Tβ increase. The fill factor FF also strongly
depends on RS. In our samples, the serial resistance first
of all is determined by the parameters of heavily doped
emitter. The higher doped emitter and the greater the
thickness, the lower series resistance. However,
interband Auger recombination is increased in this case,
so the short-circuit current decreases. The series
resistance value for the HIT elements is also determined
by ITO film parameters. The higher film thickness, the
lower series resistance. However, the increase in ITO
film thickness increases light absorption in this film.
This effect also leads to a decrease in the short-circuit
current. Thereby the thickness of the emitter and
thickness of the ITO film have to be optimized.
Fig. 6. Silicon SCs averaged photoconversion efficiency fall
coefficient temperature dependences for various samples. The
numbers of curves correspond to those of the samples listed in
Table.
Semiconductor Physics, Quantum Electronics & Optoelectronics, 2015. V. 18, N 3. P. 259-266.
doi: 10.15407/spqeo18.03.259
© 2015, V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
265
4. Results and discussion
Now we carry out an analysis of the incandescent light
simulator features influence on the temperature
dependence of the key silicon SC characteristics. For the
short-circuit current, this influence was actually
analyzed at the beginning. It was shown that the use of
such simulators significantly accelerate growth of the
short-circuit current. In natural conditions (inter alia for
AM1.5 conditions), short-circuit current is much less
increased as compared to the simulated illumination.
Temperature dependences of the open-circuit
voltage VOC and photoconversion efficiency η were
calculated both for black-body temperature 2800 K
(corresponding to the incandescent lamp) and 5800 K
(corresponding to AM0 conditions) to show the difference
of these cases for the sample 4. VOC(T) dependences for
AM0 and simulated spectra practically coincide, but there
is a little difference for η(T) (see Fig. 7). Fig. 8 shows
more significant difference for the photoconversion
efficiency temperature coefficients )(Tβ .
Fig. 7. Theoretical photoconversion efficiency for the sample 4
vs. temperature. The black body radiation temperatures of 2800
and 5800 K were applied for illumination.
Fig. 8. Theoretical photoconversion efficiency fall coefficient
for the sample 4 vs. temperature. The black body radiation
temperatures of 2800 and 5800 K were applied for
illumination.
As seen from Fig. 8, )(Tβ for simulator is lower
than for AM0. It is caused by high short-circuit current
JSC growth under simulated illumination. The effect of
this growth compensates partly contribution of the
intrinsic concentration ni temperature dependence. So,
the photoconversion efficiency temperature coefficient
)(Tβ is virtually decreased. But for the actual SC
operation conditions, this strong short-circuit current
growth is absent, and therefore )(Tβ value is higher.
This effect should be taken into account in calculations
of the real photoconversion efficiency drop with the
temperature increase.
5. Conclusion
Temperature dependences for such SC parameters as
short-circuit current density, open-circuit voltage and
photoconversion efficiency are investigated for different
samples under simulated solar illumination. It is shown
that the use of incandescent lamps leads to a significant
increase in short-circuit current growth.
Temperature dependences of these SC parameters
were calculated for both high diffusion length (relative
to the thickness of the sample) with high excitation and
the opposite case of low diffusion length with low
excitation. A good agreement between the theoretical
calculations and experimental results has been achieved.
It has been found that, in the case of sunlight
simulators equipped with incandescent lamps, the
increase in short-circuit current growth with temperature
leads to reduction in the photoconversion efficiency
temperature fall coefficient. De facto, in actual operation
conditions this reduction is absent. This difference has to
be taken into account in the SC power temperature
losses estimation.
Our approach, in principle, allows to calculate the
temperature dependences of the basic SC parameters for
different types of solar simulators.
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