Abstract

Perovskite solar cells (PSCs) have emerged as a promising alternative to traditional silicon solar cells due to their low cost of fabrication and high power conversion efficiency (PCE). The utilization of lead halide perovskites as absorber layers in perovskite solar cells has been impeded by two major issues: lead poisoning and stability concerns. These hindrances have greatly impeded the industrialization of this cutting-edge technology. In light of the harmful effects of lead in perovskite solar cells, researchers have shifted their attention to exploring lead-free metal halide perovskites. However, the present alternatives to lead-based perovskite exhibit poor performance, thus prompting further inquiry into this matter. The primary objective of this research is to investigate the use of Cu2O as a hole transport layer in combination with lead-free metal halide perovskite (CsSn0.5Ge0.5I3) to achieve superior performance. Through meticulous experimentation, the suggested model has achieved outstanding results by optimizing several key variables. These variables include the thickness of the absorber layer (CsSn0.5Ge0.5I3), defect density, and doping densities, as well as the back contact work function and the operating temperature associated with each layer. The proposed FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au solar cell structure surpassed prior configurations by comprehensively examining key aspects such as absorber layer thickness and defect density, doping densities, and back contact work. The structure has been also compared with multiple electron transport elements and concluded that the proposed model functions superior due to the use of PC60BM as an electron transport layer and it has an improved electron extraction procedure. Finally, the proposed model has achieved the optimized values as of 31.56 mA/cm-2, of 1.12 V, FF of 81.47%, and PCE of 27.72%. As a consequence of this research, the investigated structure may be an excellent contender for the eventual creation of lead-free solar power cells made from perovskite.

1. Introduction

The field of photovoltaic cells has experienced a notable increase in the utilization of hybrid perovskite, which has arisen as a substantial asset within the industry. Chalcogenide perovskites, particularly BaZrS3, have recently gained attention as reliable and environmentally friendly alternatives for various energy conversion applications, addressing issues associated with halide perovskites. Thakur et al. investigate the BaZrS3 synthesis methods, highlight its unique properties, and discuss current challenges and future trends in the field [13]. Hybrid perovskite’s cost-effectiveness has driven its burgeoning use in photovoltaic cells. The photovoltaic energy conversion efficiency of perovskite solar cells has increased profoundly [4]. This noteworthy accomplishment is a tribute to this industry’s enormous progress and technological improvements [57]. Nevertheless, the prospects of photovoltaic perovskite cells are circumscribed by the perils of lead toxicity and durability [8]. To address the aforementioned challenges associated with lead in halogenated perovskites, various alternatives to Pb(II) have been proposed. These substitutes include silver (Ag(I)), germanium (Ge(II)), and tin (Sn(II)). Sn(II) halide perovskites have the most potential of all of these options. However, Tin (Sn(II)) soon oxidizes to tin (Sn(IV)), and the CsSnI3 perovskite exhibits phase unpredictability, resulting in a loss of properties [911]. While oxidation can lead to performance degradation in some cases, in this architecture, the oxidized Sn(IV) at the interface between the perovskite layer and the Cu2O hole transport layer (HTL) might function as a passivating layer. This could mitigate charge recombination and enhance device stability [12]. CsSn0.5Ge0.5I3 is a lead-free perovskite material with a strong potential for usage in solar cells [13]. It possesses a 1.5 eV bandgap, making it suitable for absorbing sunlight and turning it into energy [14]. CsSn0.5Ge0.5I3 is also more stable in air and moisture than lead-based perovskites, making it a more appealing alternative [15].

The selection of the FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au solar cell configuration for this research paper was based on meticulous consideration of multiple factors. Firstly, the choice of FTO (fluorine-doped tin oxide) as the transparent conducting oxide (TCO) layer stems from its prevalent usage in solar cell research due to its exceptional electrical conductivity and transparency [16]. FTO enables the efficient collection and transport of photogenerated charges [17]. In the active layer, PC60BM (phenyl-C61-butyric acid methyl ester) was chosen as the electron acceptor material due to its well-established compatibility with perovskite-based solar cells [18]. PC60BM is widely employed as an acceptor due to its commendable electron-transporting properties, high electron mobility, and overall high efficiency as shown in Figure 1. Studies have consistently demonstrated the superior electron mobility and charge transport properties of PC60BM compared to PC61BM and PCBM, making it a preferred acceptor material in this photovoltaic model [19]. The carefully crafted molecular structure of PC60BM, known for its specific phenyl-C61-butyric acid methyl ester arrangement, allows for better compatibility with donor materials. This unique feature results in improved device efficiency and stability compared to PC61BM and other forms of PCBM [20]. The primary focus of this study was on CsSn0.5Ge0.5I3, a perovskite material that has demonstrated significant efficiency potential in previous investigations [13, 21]. By incorporating cesium (Cs), tin (Sn), and germanium (Ge) into the perovskite composition, it is expected to exhibit improved optoelectronic properties and enhanced stability compared to other perovskite materials [22]. The inclusion of a Cu2O (cuprous oxide) layer serves as a hole transport layer (HTL) within the device architecture. Cu2O is a promising material for hole extraction owing to its suitable energy levels and favorable hole mobility [23]. It facilitates efficient charge transport while minimizing charge recombination at the interface between the perovskite and electrode layers. For the top contact, an Au (gold) electrode was employed, following the conventional practice in solar cell designs. The utilization of Au is justified by its excellent electrical conductivity and stability [24]. The Au electrode enables the efficient collection of photogenerated holes and maintains low contact resistance. The chosen FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au configuration was thoughtfully selected to optimize charge collection, minimize recombination losses, and enhance the overall performance and stability of the perovskite solar cell device. Hybrid perovskite has revolutionized solar cell technology, but its limitations have led to the exploration of alternative materials. Perovskites containing both Ge and Sn show great promise for future applications. Wang et al. investigated the effects of adding germanium (Ge) to a type of perovskite material called FA0.75MA0.25SnI3. This addition of Ge resulted in significant improvements in the performance of the material [25]. The researchers found that the Ge atoms were positioned on the surface of the perovskite and effectively addressed traps and imperfections present in the material. By doping FA0.75MA0.25SnI3 with just 5% Ge, the photovoltaic conversion capability (PCE) of the material increased to 4.48%. Further research by the same authors explored the impact of doping FA0.75MA0.25Sn0.95Ge0.05I3 with 5% Ge, which led to an even higher PCE of 7.9% [26]. In addition, Chen developed a different material called CsSn0.5Ge0.5I3, demonstrating significant efficiency potential with a notable conversion efficiency of 7.11% [27]. In this material, Ge(II) ions were used to substitute Sn(II) cations, resulting in a decrease in the number of vacant positions within the material. This change played a crucial role in enhancing the overall performance of CsSn0.5Ge0.5I3 [28]. To fully maximize the functionality of CsSn0.5Ge0.5I3-based technologies, it is essential to gain a comprehensive understanding of the interaction between substance characteristics and device architecture [29]. By thoroughly exploring and comprehending the interactions between these variables, it will be possible to further enhance the operational efficiency of perovskite-based solar cells. This research opens up new avenues for improving the efficiency of solar energy conversion and brings us closer to developing more efficient and sustainable solar power technologies.

On the other hand, there have been a few steps in the model (CsSn0.5Ge0.5I3-based perovskites) to prevent cesium toxicity. First, a decrement in the material’s cesium concentration is needed [30]. By including a dopant in the substance, cesium toxicity can also be decreased [31]. Atoms called dopants are introduced to a semiconductor to alter its characteristics. Lithium (Li) is a suitable dopant for CsSn0.5Ge0.5I3 [32]. Li does not occupy the same lattice positions as Cs and does not produce the same kind of poisoning since it has a smaller ionic radius [32]. Several steps may be taken to try to salvage the material if our CsSn0.5Ge0.5I3-based perovskites have been contaminated by cesium. One is to raise the material’s temperature significantly [33]. The cesium atoms may be forced out as a result. A chemical that can bond to cesium atoms can also be used to treat the substance. This may lessen the likelihood that the substance may be harmed by cesium atoms. Alloys encompassing germanium (Ge) and tin (Sn) show tremendous promise as materials for optoelectronic applications, owing to their worthwhile energy gap [34]. In addition, they have a higher resilience than conventional Sn-based perovskites. The suggested research considered optimizing approaches for perovskite solar cells leveraging an FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au setup and SCAPS-1D software, as shown in Figure 2. In the above arrangement, PC60BM acts like the electron-transporting layer (ETL), while Cu2O functions as the hole transporter layer (HTL). This approach was picked since alloys encompassing germanium (Ge) and tin (Sn) have advantageous energy gap attributes, making them fascinating candidates for applications in optics [13]. Moreover, alloys like this are known to be more durable than pure Sn-based perovskites [35, 36].

The tuning of perovskite solar cells was carried out by assessing variations in the cell’s attributes in conjunction with a broad range of scenarios. The influence of the contributor density of PC60BM (electron transport layer) and recipient density of Cu2O (hole transport layer), as well as the degree of thickness and number of defects of the CsSn0.5Ge0.5I3 perovskite layer, variation in temperature, on the device’s overall efficiency has been conducted. Overall, this research sheds illumination on the design and improvement of perovskite solar cells for enhanced effectiveness and performance.

2. Device Structure and Computational Modeling

The device structure of FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au has been shown in Figure 2. Table 1 lists the significant variables employed for simulating the noninverted planar architecture of photovoltaic cells composed of FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au. The simulations have been conducted at a working temperature of 300 Kelvin, accompanied by the customary AM1.5G spectrum as the illuminating source. A total number of simulations have been carried out, and these have been performed with a series resistor of 3.2 Ω and a shunt resistor of 3200 Ω. The SCAPS-1D program has been used to acquire data points from the devices and substances employed for the simulation.

The data shown in Table 1 have been chosen for the best performance on the proposed model. Some of the numbers listed are based on data obtained from the experiments [27, 3740], and their arrangement takes into consideration varying several variables such as local weather, work function, and temperature.

3. Effect of Different HTL (Hole Transport Layer) with the CsSn0.5Ge0.5I3 Perovskite Absorber Layer

3.1. Energy Band Alignment Diagram and Energy Band Diagram of Different Hole Transport Layers

The band alignment diagram of different hole transport layers is shown in Figure 3. Figure 4 shows the energy band diagram of different hole transport layers. The numerical analysis using different kinds of hole transport layers, such as Spiro-OMeTAD, P3HT, CZTSe, PEDOT:PSS, CuI, and Cu2O, has been conducted. Among all the HTL materials, Cu2O has shown greater performance with increased device stability and overall efficiency.

4. Materials and Methods

4.1. SCAPS-1D Computer Simulation

The One-Dimensional Solar Cell Capacitance Simulator (SCAPS-1D) program was created by Prof. Marc Burgelman, a faculty of Electronics and Information Systems (ELIS) at the University of Ghent in Belgium [41]. This software is used to simulate semiconductor devices and involves solving through numerical methods [42, 43]. The equations are solved using Newton-Raphson substeps and Gummel iterative tackle. This approach enables the simulation of complex semiconductor systems and facilitates the analysis and optimization of semiconductor device performance. Overall, the development of the SCAPS platform has been instrumental in advancing research in the field of semiconductor devices.

The elementary particle electron and vacancy equations for continuity are as follows [21]:

The drift-diffusion equations for holes, as well as electrons, are outlined below:

The Poisson equation appears to resemble this:

The symbols and symbolize the current concentrations of both holes and electrons in a substance, respectively, and are connected to physical properties that govern how they behave. and demonstrate the rates at which electrons and holes merge again, whereas reflects the rate at which light forms a pair of electrons and holes.

The symbol represents electronic charge, and represents the electrostatic potential. Furthermore, the letters and are employed to designate the densities of liberated holes and electrons, correspondingly, in this article’s nomenclature. Electron mobility and hole mobility are represented by the symbols and , respectively, whereas electrons and hole coefficients of diffusion are indicated by and , respectively. and represent the charged donor and acceptor component densities, respectively. Finally, and reveal the concentrations of imprisoned holes and electrons, respectively.

4.2. Stability and Optoelectronic Property of CsSn0.5Ge0.5I3

CsSn0.5Ge0.5I3 is a lead-free perovskite material that has been shown to have good stability and optoelectronic properties. It is composed of cesium (Cs), tin (Sn), germanium (Ge), and iodine (I). CsSn0.5Ge0.5I3 has been demonstrated to have a high optical absorption coefficient and to be stable in air and moisture [44]. This makes it a potentially useful material for solar cells, light-emitting diodes, and other optoelectronic gadgets. Here are some of the key stability and optoelectronic properties of CsSn0.5Ge0.5I3.

4.2.1. Stability

CsSn0.5Ge0.5I3 is stable in air and moisture, and it has a long shelf life. This makes it a more attractive material for use in solar cells and other devices than lead-based perovskites, which are known to be unstable in air and moisture [36].

4.2.2. Optical Absorption Coefficient

CsSn0.5Ge0.5I3 has a high optical absorption coefficient, which means that it can absorb a lot of light. This makes it a good material for use in solar cells, where it can convert sunlight into electricity.

4.2.3. Bandgap

The bandgap of CsSn0.5Ge0.5I3 is 1.5 eV, which is in the visible light range. This means that it can absorb visible light, which is the type of light that is most abundant in sunlight.

First, the following thermodynamic equilibrium needs to be reached to stabilize the CsSn0.5Ge0.5I3 phase:

The symbol represents the energy change (enthalpy) during the formation of a compound called CsSn0.5Ge0.5I3. This enthalpy is calculated concerning the initial elements: Cs (in a cubic structure with the space group Fm3m), Sn (in a cubic structure with the space group Fd3m), Ge (also in a cubic structure with the space group Fd3m), and I (in an orthorhombic structure with the space group Immm).

Second, it is necessary to exclude the fundamental phase:

Furthermore, to avoid the formation of binary compounds and other undesired secondary phases, it is necessary to fulfill the following equations, which prevent the emergence of CsI (in a cubic structure with the space group Fm-3m), GeI2 (in a rhombohedral structure with the space group R3m), SnI2 (in a cubic structure with the space group P-43m), and SnI4 (in a cubic structure with the space group Pa-3), as well as ternary compounds CsGeI3 (in a rhombohedral structure with the space group R3m) and Cs2SnI6 (in a cubic structure with the space group Fm-3m) [13].

To investigate the optical characteristics of CsSn0.5Ge0.5I3, the amplified dielectric function is converted into the absorption coefficient to simulate the optical absorption spectrum, denoted as . This transformation is carried out using the following formula [13]: where and are the real and imaginary parts, respectively, of the complex dielectric function, which varies with frequency, denoted as . Considering that the dielectric function is a tensor, and are averaged over three polarization vectors (along , , and directions) [13]. The polyhedron in Figure 3 depicts the computed chemical potential window diagram and the region where CsSn0.5Ge0.5I3 is stabilized against potential competing phases such as Ge, CsI, GeI2, SnI2, SnI4, CsGeI3, and Cs2SnI6.

5. Results and Discussion

5.1. The Influence of the Varying Ionized Donor Density () within the PC60BM Layer

It is critical to raise the conductivity of the PC60BM layer in a solar cell to boost its short-circuit current density (). However, the restricted electron mobility and fundamental electrical conductivity of PC60BM are limiting constraints. To counteract this, an optimum doping concentration may be used to improve the electrical characteristics of the PC60BM layer, increasing its conductivity and improving the . An appropriate level of PC60BM doping leads to the creation of a significant energy state at the interfaces of heterojunctions. This state serves to reduce nonradiative recombination, thus enhancing the overall efficiency of the system [45]. At relatively high and reasonable doping concentrations, a powerful electric field is generated. This field promotes electron collection while forcing minority carriers aside away from the ETL/perovskite contact. As a result, the rate of synthesis at the interface declines, leading to improved performance [45]. Figure 5 depicts the influence of various PC60BM doping doses on the effectiveness (PCE, FF, , and ) of solar cells made from perovskite. It was discovered that increasing the electron transport layer’s (ETL’s) doping concentration () led to improvements in all of these parameters. This layer’s donor concentration varied from 1013 to 1020 cm-3. The short-circuit current density () initially increased with higher doping concentrations, reaching a peak value of 27.28 mA/cm2 at a doping concentration ranging from 1013 to 1014 cm-3. At a doping concentration of approximately 1015 to 1017 cm-3, the value shows a slight downshift value around 27.2 to 26.5 mA cm-2 and it remains almost constant at 26.55 mA cm-2 at 1018 to 1020 cm-3 as shown in Figure 5(a). Upon further investigation of additional parameters, such as the fill factor (FF), it was observed that as the doping concentration increased from 1015 to 1020 cm-3, the FF exhibited an upward trend. The FF values were found to range from 78% to 87% within this doping concentration range. However, as the doping concentration was increased to 1020 cm-3, the curve exhibited a slight decline, and the fill factor (FF) value stabilized at 87% for even higher doping concentrations. In terms of the power conversion efficiency (PCE), it has been observed that increasing the doping concentration from 1013 to 1020 cm-3 resulted in an upward shift of the PCE curve. Additionally, for the remaining portion of the increase, the PCE value remained stable at a consistent level of 28.5%.

Doping boosts the conductive properties of the PC60BM layer, which is advantageous for cell functionality. If the doping concentration is overly high, the adverse consequences of contaminant diffusion might balance the benefits of doping, resulting in a decrease in the mobility of carriers. High doping levels may also result in the generation of deep coulomb traps, which may limit the mobility of charge carriers even further and have an adverse effect on short-circuit current density as well [46, 47]. Finally, a doping dose of 1018 cm-3 is selected, and the outcomes of enhanced parameters are presented in Table 2.

5.2. Effect of Cu2O Layer Acceptor Density ()

The acceptor concentration inside the Cu2O layer, designated as , can have a considerable influence on perovskite solar cell effectiveness. According to research, increasing the acceptor density can enhance the solar cell’s fill factor (FF) and power conversion efficiency (PCE). This is because a greater acceptor density increases the number of holes that can be retrieved from the perovskite layer, leading to a higher current density and greater efficiency [48]. However, there is a limit to the benefits of increasing the acceptor density, as excessively high acceptor densities can result in a decrease in the PCE. This is due to the formation of a barrier that inhibits the flow of electrons from the perovskite layer to the electrode [49]. As depicted in Figure 6, it is evident that as the density of the absorber material is augmented from 1013 to 1016 cm-3, the open-circuit voltage () persistently remains constant at 1.14 volts.

However, upon a further increase in density from 1016 to 1022 cm-3, the value exhibits a conspicuous upward shift, culminating in a remarkable rise to 1.30 volts, and remains in a steady state. For values ranging from 1013 to 1018 cm-3, both the fill factor (FF) and power conversion efficiency (PCE) demonstrate an upward shift. However, upon further increasing the doping concentration, the FF displays a downward trend, decreasing from 87.2% to 83%. In contrast, the PCE attains a steady-state value. These findings strongly show that increased doping concentrations have an adverse effect on the FF of solar cells. On the other hand, demonstrates a large upward movement as a result of a shift in acceptor density from 1013 to 1016, leading to an increase in the photocurrent from 26.491 to 26.496 mA cm-2. Subsequently, a downward shift in the photocurrent is observed for the doping concentration of 1016 to 1020 cm-3. Table 3 shows the consequent improvement attributes after which it remains in a stable state.

5.3. The Effect of Changing the Absorbing Layer’s Properties

Efficient solar cell design requires meticulous selection of the absorber’s parameters, with the depth of the active layer being a crucial factor in maximizing performance. Proper consideration must be given to this parameter since extremely thin active layers will lead to minimal light absorption.

Conversely, overly thick active layers will cause charge carrier recombination, particularly as the carriers travel a great distance before exiting the absorber layer [50]. Hence, to achieve optimal solar cell efficiency, careful attention must be paid to selecting the appropriate thickness for the active layer [51]. From the graphical data in Figure 7, the relation of , , FF, and PCE with the thickness value of the absorber layer can be seen. The thickness value has varied within the range of 100 nm to 800 nm. The curve for and PCE values indicates an upward movement with increasing absorber layer depth until it accomplishes a steady-state value of 32.8 mA cm-2 for and 34.7% for PCE. On the other hand, the value spikes at 300 nm of thickness, and if the value is 1.24 V, it implies a decrease in voltage to boost the absorber layer depth. An interesting phenomenon has been seen in FF graphical curve. By varying the thickness towards increment, the value of FF shows a downshift and reaches 86.2% to 85% for the thickness of 100 nm to 800 nm. As a result, it is seen that varying thickness affects the PCE and most and thickness variation causes a massive impact on these two parameters. On the other hand, other parameters (FF and ) indicate a minor variance owing to the change in the thickness of the absorber layer. So taking this effect in mind, we have set the thickness value at 490 nm as shown in Table 4.

5.4. The Effect of Varying Thickness Value on Quantum Efficiency

In this study, the investigation of the quantum efficiency (QE) characteristics of CsSn0.5Ge0.5I3 perovskite absorber layer to varying thickness has been conducted.

A comprehensive analysis of QE (%) across a range of wavelengths, from 300 nm to 1000 nm, was conducted and is shown in Figure 8. These findings reveal a notable trend wherein the QE remains consistently high, exceeding 80%, within the wavelength range of 300 nm to 860 nm.

This indicates efficient photon absorption and charge carrier generation within this broad region of the solar spectrum. Beyond this range, a gradual decline in QE is observed, suggesting a shift in the absorption properties of the perovskite material. These results underscore the potential of CsSn0.5Ge0.5I3 perovskite as a promising absorber material for solar cell applications, particularly in harnessing a substantial portion of solar radiation for energy conversion.

5.5. The Effect of Varying Temperature on Quantum Efficiency

This study explored the impact of temperature on the light absorption properties of CsSn0.5Ge0.5I3 perovskite material. This investigation shows the relationship between wavelength and quantum efficiency (QE) across a temperature range of 250 K to 480 K.

The results revealed remarkable stability in the material’s light absorption across a significant portion of the visible spectrum. Figure 9 shows that within the 300 nm to 740 nm wavelength range, the QE remained consistently above 80% for all studied temperatures. This indicates efficient light capture within the visible light spectrum, a crucial characteristic for effective solar cell operation. A slight decrease in QE has been noticed from 300 nm to 390 nm wavelength along with the increment of temperature value of the incident light. This minor change in the QE value can be seen in the figure. The QE remained high across a broad range, and a slight decrease was observed beyond 740 nm wavelength after increasing the temperature above 450 K.

Overall, this study highlights the potential of CsSn0.5Ge0.5I3 as a temperature-stable light absorber for solar cell applications. The observed high QE across a wide range of visible wavelengths and its resilience to temperature variations are promising findings.

5.6. The Effect of Defect Density

The measure of defect density, denoted as , is a pivotal factor in governing the electrical properties of materials and thus has the potential to make a substantial contribution to enhancing the efficiency of solar cells [52]. To achieve top-notch performance, it becomes indispensable to enhance the quality of the absorbing layer. It has been observed that the performance of a device escalates proportionately with a decrease in the defect density, as evidenced by Table 5.

However, in practice, it poses a formidable challenge to fabricate materials with defect densities as low as 1013 cm-3 [53]. On the contrary, a value of  cm-3 allows for the attainment of optimal efficiency in solar cells, although there is no noticeable variation in and , despite a decrease in defect density from 1015 to 1013 cm-3 in the resultant. Table 5 displays the requirements for improvement.

5.7. Effect of Different Electron Transport Material

To improve the performance of the proposed CsSn0.5Ge0.5I3-based perovskite solar cell, several electron transport materials (ETMs) such as ZnO, TiO2, CdS, C60, Cd0.5Zn0.5S, and IGZO were used. It has been found that among all the ETL materials, PC60BM has shown the greater efficiency, which is shown in Figure 1. Table 6 summarizes the important performance metrics for each ETM. The characteristic parameter for different ETL materials is shown in Table 7. The performance difference is due to a conduction band offset between the ETL/perovskite absorber interface and greater carrier mobility.

5.8. The Influence of Temperature Settings on Performance Parameters

A solar cell’s efficiency is profoundly affected by its functioning temperature. Despite a solar cell’s usual operating temperature of 300 K, its temperature during operation will be significantly greater. Figure 10 illustrates that the temperature variation can have a substantial effect on the PV cell’s - curves. Open-circuit voltage () drops significantly with a temperature rise, while only increases marginally.

This is due to a larger reverse saturation current, which causes a decrease in . Furthermore, when temperature rises, the bandgap of the semiconductor decreases, resulting in a modest increase in . According to the - graph, rising temperature diminishes the output of PV cells due to the decrease in . Besides this, increased temperature alters the characteristics of PV cells, such as the mobility and concentration of charge carriers, resistance, and bandgap of materials.

Table 8 unequivocally demonstrates that as the temperature rises from 250 K, there is a substantial decline in voltage, while the current density () experiences a consistent increase. Conversely, both power conversion efficiency (PCE) and fill factor (FF) exhibit a significant reduction in value with the escalating temperature.

5.9. The Effect of Back Contact Work Function

To achieve excellent efficiency in solar cells made from perovskite, one must choose a proper rear interface substance with an outstanding function [62]. Recent research has demonstrated that by altering the rear contact work function utilizing interface engineering and leveraging low-work function materials, perovskite solar cells may be far more effective [63]. A more extensive function rear contact, on the contrary, could end up in a deeper energy obstacle, leading to greater crossover inefficiencies and influencing the cell’s overall effectiveness. Therefore, careful consideration must be given to selecting the appropriate back contact material and modifying its work function to achieve optimal performance in perovskite solar cells.

This analysis finds that for work function values more than 5 eV, the values of the , FF, and PCE curves exhibit an upward shift and stay in a steady state. The value, on the other hand, gradually increases with decreasing work function values (<5 eV). However, once the work function value exceeds 5 eV, the value abruptly changes, resulting in high current density values as shown in Figure 11.

5.10. Mott-Schottky Capacitance Characteristics

The Mott-Schottky capacitance characteristic has been analysed numerically which has been shown in Figure 12. The variation of donor density of the electron transport material has been carried out from a range of 1014 to 1017 cm-3. It has been found that the donor density value of the PC60BM electron transport material has the most significant influence on this particular analysis. The visual result of this analysis has been shown in Figure 12.

5.11. Final Optimized Performance Parameter

This research has achieved exceptional performance parameters for the FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au solar cell configuration. The open-circuit voltage () was measured at 1.12 V, indicating a high voltage potential. The current density recorded was 31.56 mA cm-2, representing a significant flow of current. The fill factor (FF) reached an impressive value of 81.47%, indicating efficient charge transfer and minimal losses within the device which is shown in Table 9. Finally, the photovoltaic conversion efficiency (PCE) achieved an outstanding value of 27.72%, signifying the effectiveness of the solar cell in converting sunlight into electricity.

These remarkable results are visually presented in Figure 13, which displays the graphical representation of the obtained data. The figure further illustrates the excellent performance and demonstrates the correlation between the different parameters, highlighting the efficiency and viability of the proposed solar cell configuration.

6. Conclusion

This study has been carried out to analyze numerous variables of the perovskite photovoltaic cell structure FTO/PC60BM/CsSn0.5Ge0.5I3/Cu2O/Au. This research has been conducted to analyze the effect of Cu2O as a hole transport layer with CsSn0.5Ge0.5I3 perovskite material. The SCAPS-1D tool was employed in the present investigation to carry out computational simulations to find out the influence in boosting the photovoltaic energy production and characteristics of the photovoltaic cell. This research numerically analyze the effect of changing absorbing material layer thickness, defect density, donor and acceptor densities of the charge transport layers, anode work function, and operating temperature on the performance parameter. It has been found that the ETL and HTL pumping concentrations have significant impacts on the effectiveness of the perovskite solar cell, with a higher doping concentration leading to a boost in and PCE due to enhanced conductivity and quasi-Fermi dissociation levels. Here, Cu2O is a great candidate as a hole transport layer in this model. Similarly, ensuring a sufficient number of defects in the absorber layer and choosing appropriate work functions for the anode significantly improves the performance of the perovskite solar cell. The results illustrate the detrimental impact of temperature on solar cell effectiveness, while a boost in temperature from 250 K to 410 K triggers an overall reduction in efficiency. After optimizing all the aforementioned factors, the perovskite solar cell attains a high level of performance, with a PCE of 27.72%, FF of 81.47%, 31.56 mA cm-2, and of 1.12 V. Overall, the data presented in this study showcases the remarkable performance of the solar cell, characterized by high , current density, fill factor, and photovoltaic conversion efficiency. These outcomes validate the effectiveness and potential of the chosen configuration.

Data Availability

The experimental data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that there are no conflicts of interest associated with publishing this work.

Acknowledgments

The authors would like to extend their acknowledgment to Gent University, Belgium, for developing and providing the SCAPS-1D simulator used in this work.