This simulation study was conducted by optimizing the different parameters of the designed solar cell in SCAPS-1D software. First, the buffer, absorber and BSF layer thickness was optimized. To optimize the buffer, absorber and BSF layer thickness, the effect of other parameters like radiative recombination, acceptor density, defect density, series-shunt resistances were taken as null at 300K.
4.1 Impact of variation of thickness of CdS buffer layer
The impact of the thickness of CdS layer on the performance of SnS based thin-film solar cell is analyzed by properly varying the buffer thickness from 50 nm to 120 nm and keeping thickness of other layers constant. Figure 3 showed the impact of thickness variation of CdS layer on the performance of p+-SnS/SnS based solar cell. It is found that with the variation of CdS layer thickness, the efficiency (η) is almost constant upto 80 nm and then a slight change is observed, as shown in figure 3(a). The short circuit current (Jsc) as well as the open circuit voltage (Voc) is showing modification with the change in the buffer layer thickness whereas fill factor (FF) is showing a slight decrease with the increase in the thickness after 80 nm as per figure 3 (b)-(d). So the impact of varying the thickness of buffer layer is negligible on the efficiency of a solar cell having a BSF layer over an absorber layer. The same phenomenon has been observed by some other researchers also [21]. The path covered by the photo-generated carriers to reach the active region increases with the increase in the thickness of buffer layer. With the slight increase in the travel path the recombination increases which in turn reduces the Jsc and Voc [22].
4.2 Impact of variation of SnS absorber layer and p+-SnS BSF layer thickness
The major challenge in the solar cell technology is to fabricate efficient but cost effective solar cell with a thin absorber layer. BSF layer plays a very significant role in reducing the overall thickness of the absorber layer, hence minimizing the cost [18]. To analyze the effect of SnS and p+-SnS layer on the performance of solar cell, the thickness was varied from 1000 nm to 3000 nm and 200 nm to 1000 nm for SnS and p+-SnS respectively as shown in figure 4. It is observed that with the increase in the p+ SnS layer thickness, the efficiency (η) is increasing and the highest efficiency (η) is obtained 9.20% for the thickness of SnS ~1800 nm and p+-SnS~900 nm having all the other parameters like radiative recombination, defect density, series and shunt resistance at zero value. Any further change in the thickness gives a negligible improvement in the efficiency as the recombination of carriers dominates with the increase in the thickness of absorber and BSF layer [23]. The value of short circuit current (Jsc) and open circuit voltage (Voc) is also increasing with the increase in the thickness of p+-SnS whereas for the variation of thickness of SnS the change is almost constant. The maximum Jsc and Voc obtained for the device was 29.11 mA/cm2 and 0.41 volt respectively. The fill factor (FF) is decreasing with the increase in the thickness of the p+ SnS layer [24]. With the increase in the thickness of absorber and BSF layer, more number of carriers is generated with the same amount of incident photon. As reported by other researchers, with the increase in thickness of absorber layer, the spectral response is also improved [25]. Now the amount of material consumption of the absorber layer can be reduced by adding a BSF layer which in turn reduce the back contact recombination and improves the efficiency. Hence with the inclusion of BSF layer helps us to optimize the absorber layer thickness at lower value, thus the overall cost of the solar cell is also optimized [26].
4.3 Impact of variation of radiative recombination coefficient of p+-SnS/SnS layer
Recombination is one of the most common device phenomenon and majorly responsible in determining the photo conversion efficiency of solar cell. The radiative recombination rate, mainly occurring in direct bandgap semiconductors, should be at its lowest level to get an enhanced efficiency. The value of radiative recombination is mainly dependent on the atomic structure and carrier density of the films which directly affects the Voc of the device [27]. In this work, the radiative recombination coefficient was varied from 10-19 cm3/s to 10-1 cm3/s for both SnS and p+ SnS layer. It is found from figure 5(a) that for both the layers, the optimum range for radiative recombination is in between 10-19 cm3/s to 10-9 cm3/s having efficiency (η) of 8.84%. It is also found that fill factor (FF) is almost constant for the change in the radiative recombination for p+-SnS as it has very less impact on the same [figure 5(b)]. The short circuit current (Jsc) and open circuit voltage (Voc) is showing maximum value in the range between 10-19 cm3/s to 10-9 cm3/s with a value of 28.50 mA/cm2 and 0.398 volt respectively, [figure 5(c,d)]. With the increase in the recombination rate, the generated carrier collection decreases rapidly. Due to which the Voc reduces [28]. For the above performance analysis, previously obtained optimized results are considered and the defect density, series and shunt resistance were taken as zero.
4.4 Impact of variation of carrier concentration of p+-SnS/SnS layer
To study the impact of carrier concentration or acceptor density on the performance of solar cell, the concentration was ranged from 1010 cm-3 to 1018 cm-3. It is observed from figure 6(a) that the maximum photo conversion efficiency (η) is obtained for p+-SnS with a carrier concentration of 1018 cm-3 whereas the same for SnS can be kept at 1016 cm-3. The fill factor (FF), open circuit voltage (Voc) and short circuit current (Jsc) are also showing a variation with the change in the carrier concentration of SnS and p+-SnS as shown in figure 5(b-d). The same analogy was reported by several other researchers [29]. Change in the carrier concentration is responsible to produce the built-in potential at the interface which in turn reduces the recombination and enhances the efficiency upto a certain limit [30]. To determine the effect of carrier concentration, the previously obtained optimized results were taken into consideration.
4.5 Impact of variation of defect density of p+-SnS/SnS layer
A major parameter influencing the photovoltaic performance of the solar cell is defect density of the layers. With the increase in the defect density, the recombination increases which modifies the efficiency. Hence the value of the defect density needs to be taken care of in a very significant manner [31]. In this work, the value of defect density was varied from 1010 cm-3 to 1018 cm-3 to study the impact on the photovoltaic performance of the SnS based solar cell. It is found from figure 7 that the efficiency (η), fill factor (FF), short circuit current (Jsc) and open circuit voltage (Voc) is dependent on the defect density of SnS and not of p+-SnS. Also it is found from figure 7(a) that the maximum efficiency of 7.52% is obtained for the defect density within the range of 1010 cm-3 to 1016 cm-3 for SnS. The same type of phenomenon is observed for fill factor (FF), short circuit current (Jsc) and open circuit voltage (Voc) also as shown in figure 7 (b-d).
4.6 Impact of the variation of series (Rs) and shunt (Rsh) resistance
Series and shunt resistance is a very important parameter to determine the photo conversion efficiency of a solar cell. Mainly the short circuit current (Jsc) and open circuit voltage (Voc) is dependent on the series (Rs) and shunt (Rsh) resistance []. To study the effect of device resistance on the performance of solar cell, it is varied from 5-10 Ω.cm−2 and 200-2000 Ω.cm−2 for series and shunt resistance respectively. It is observed that maximum efficiency (η) is observed 7.22% for series resistance of 3 Ω.cm−2 and shunt resistance of 1000 Ω.cm−2 [figure 8(a)]. It is also observed that the efficiency (η), fill factor (FF) and short circuit current (Jsc) is mainly dependent on the series resistance, Rs and very mild effect is observed with the variation of shunt resistance, Rsh, [figure 8(b,c)]. On the other hand, the open circuit voltage (Voc) is totally dependent on shunt resistance, Rsh which is increasing with the increase in shunt resistance, Rsh.
4.7 Effect of temperature on the performance of solar cell
The working temperature of the solar cell plays an important role on the performance of the cell. As the solar cells are exposed in open environment, the ambient temperature is always a parameter to influence the efficiency of the cell. The relationship between open circuit voltage (Voc), photo current and temperature is given as,
$${V}_{oc}=\frac{{E}_{a}}{q}-\left(n.{k}_{B}.\frac{T}{q}\right)ln\left(\frac{{J}_{00}}{{J}_{l}}\right)$$
4
where, n is the ideality factor, Ea is activation energy, J00 is reverse saturation current, Jl is photo-current, kB is Boltzmann constant, q is the charge, and T is operating temperature.
To study the effect of the operating temperature on the performance of solar cell, it is varied from 283 K to 323 K. as shown in figure 9. It is found that with the increase in solar cell operating temperature the efficiency (η) decreases along with open circuit voltage (Voc) and fill factor (FF). But the short circuit current (Jsc) increases with the increase in operating temperature. With the increase in the temperature different defect states are getting activated and the recombination also get enhanced with the increase in the ambient temperature. This effect reduces the saturation current while increasing the reverse saturation current [33]. The carrier concentration, mobility and bandgap get affected by the ambient temperature, which in turn reduces the efficiency with the increase in the temperature. The reverse saturation current increases with the increase in the solar cell temperature which reduces the Voc. With the increase in the temperature, the electrons become excited and the movements of the free carriers get obstructed due to lattice vibrations. Hence the efficiency reduced due to thr collision with the heavily energized electrons [34].
Table 2
Optimized device parameter for the p+-SnS/SnS based solar cell.
Optimized Parameter
|
SnS
|
p+-SnS
|
Absorber layer and BSF layer thickness
|
1800 nm
|
900 nm
|
Buffer layer thickness
|
80 nm
|
Radiative recombination coefficient
|
10−10 cm3/s
|
Shallow Acceptor density
|
1016 cm−3
|
1018 cm−3
|
Defect density
|
1015 cm−3
|
Series and Shunt Resistance
|
3 Ω.cm−2
1000 Ω.cm−2
|
Optimized solar cell parameters
|
η = 7.22%;
FF = 73.5%;
Jsc = 27 mA/cm2 ;
Voc = 0.359 volt
|
Table 2 shows the optimized device parameters for p+-SnS/SnS based solar cell as obtained from this simulation study and Table 3 shows the comparison of efficiency and other device parameters for SnS based solar cell reported in different literature with this simulated work. From the comparison it was found that the maximum efficiency for SnS based solar cell obtained was 5.24%. The reason for having the less efficiency was mainly due to non-uniform junction in between buffer and absorber layer, high series resistance and carrier recombination which in turn reduces the Jsc in comparison with conventional CZTS/Se solar cells [35][12]. The previously reported simulated works [41][42] concentrate mainly on the different device parameter of SnS only whereas in our research work we have considered a separate p+-SnS BSF layer to reduce the back surface recombination which in turn improved the Jsc.
Table 3 Comparison of efficiency and device parameters for SnS based solar cell reported in literature compared with this work.
Device Structure
|
Efficiency (%)
|
Jsc (mA/cm2)
|
Voc (V)
|
FF (%)
|
Reported experimental work
|
TiO2/n-SnS/SnS/Ag/SnS/p-SnS/ITO (Nguyen et al., 2021) [35]
|
5.24
|
17.13
|
0.450
|
68
|
Glass/Mo/SnS/SnO2/Zn(O,S):N/ZnO/ITO (Sinsermsuksakul et al., 2014) [12]
|
4.36
|
20.2
|
0.372
|
58
|
SLG/Mo/SnS/CdS/iZnO/AZO (Yadav et al., 2021) [36]
|
3.50
|
18.9
|
0.334
|
55.5
|
SLG/Mo/SnS/CdS/i-ZnO/AZO/Ni/Ag (Cho et al., 2019) [37]
|
3.05
|
19.4
|
0.297
|
52.8
|
Glass/Mo/SnS/CdS/i-ZnO/Al:ZnO/Ni/Al (Reddy et al., 2019) [38]
|
2.28
|
20.3
|
0.280
|
40
|
SLG/Mo/SnS/CdS/i-ZnO/ZnO:B/Ni/Ag (Kang et al., 2017) [39]
|
1.61
|
13.28
|
0.269
|
45.07
|
TCO/CdS/SnS-Cubic/SnS-Orth/Contact (González-Flores et al., 2019) [40]
|
1.38
|
6.96
|
0.488
|
41
|
Reported simulated work
|
Contact/n-ZnO/n-CdS/p-SnS/Contact (Boubakri et al., 2021) [41]
|
15.62
|
33.29
|
0.752
|
62.0
|
Contact/p-SnS/CdS/ZnO/Contact (Ullah et al., 2014) [42]
|
10.6
|
13.4
|
0.920
|
86.3
|
Glass/ITO/ZnO/CdS/SnS/Contact (Garain et al., 2021) [20]
|
8.92
|
20.75
|
0.732
|
36.89
|
Glass/Mo/SnS/SnO2/Zn(O,S):N/ZnO/ITO (Minbashi et al., 2018) [44]
|
7.68
|
27.99
|
0.419
|
67.97
|
This simulated work
|
Ag/ZnO:Al/CdS/SnS/p+-SnS/Mo/Glass
|
7.22
|
27
|
0.359
|
73.5
|