Performance Comparison of Different Hole Transport Layer Configurations in a Perovskite-based Solar Cell using SCAPS-1D Simulation

HOSSEİNİ, Seyyedreza; Delibaş, Nagihan Çaylak; Bahramgour, Mahsa; Mashayekh, Alireza Tabatabaei; NİAİE, Aligholi

doi:10.31590/ejosat.951602

Cited by 12 publications

(5 citation statements)

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“…The HTL is the buffer layer in-between the perovskite material and the anode. The holes generated in the perovskite are transported to the positive electrode through by the HTL electric field [13,15]. The optimized HTL thickness is found by varying the it from 50 nm to 300 nm (with 50 nm increment) for each structure as shown in figures 11 and 12.…”

Section: Htl Thickness Effect On Pscmentioning

confidence: 99%

“…The results show that in all the structures when the N A is increased in the HTL the V OC increases which improves the PCE of the cells. This is because increasing the acceptor concentration increases the majority charge carriers in the HTL, which in turn increase the conductivity of the layer [15,32]. The increased conductivity improves the electric field at the perovskite layer interface, increasing ion separation.…”

Section: Htl Doping Effect On Pscmentioning

confidence: 99%

“…The CTL should also provide adequate separation between the semi-conductor absorber layer and conductive metal electrodes, to reduce cell resistance. CTL with highly conductivity and low resistance have shown to increase the performance of the cells significantly [15].…”

Section: Introductionmentioning

confidence: 99%

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Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Jan¹,

Noman²

2022

Phys. Scr.

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Over the past decade, perovskite materials have emerged as promising absorber layers in photo voltaic (PV) cells. Germanium (Ge) based perovskite layers have attracted the attention of scientists because of its excellent photovoltaic properties and nontoxic nature. Selecting the right material for charge transport layers can further enhance the performance and stability of the cell. Kesterite compounds have shown excellent conductive properties in thin film PV cells (CIGS) as the active material, making them an option to be used as hole transport layer (HTL) in perovskite solar cells. In this work the Ge based perovskite solar cell (PSC) of methyl ammonium germanium tri-iodide (MAGeI3) is numerically modelled using SCAPS-1D with 6 kesterite quaternary compounds as HTLs. A systematic methodology is adopted to analyze the effect of the kesterite materials on the absorption, quantum efficiency, energy band alignment, electric field intensity, recombination rate, carrier density, thickness, doping concentration, temperature, reflection and interface defect densities of the PSC in detail. 4 oxide/sulphide based electron transport layers (ETL) are also used in the cell structures. A total of unique 24 different kesterite-germanium PSC structures were modeled from all possible combinations of the different layers. The PSC parameters of all the structures are optimized, which enhance the performance of the PSC up to 7% more. Based on the simulation results the best performing perovskite structures were TiO2/Per/CZTS and SnO2/Per/CZTS with PCE of 24.57% & 24.87%, Jsc of 16.13 mA/cm2 & 16.32 mA/cm2, Voc of 1.730V & 1.733V and F.F of 88.10% & 88.101% respectively.

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Section: Htl Thickness Effect On Pscmentioning

confidence: 99%

Section: Htl Doping Effect On Pscmentioning

confidence: 99%

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Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Jan¹,

Noman²

2022

Phys. Scr.

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“…Spiro‐OMeTAD when replaced with Cu 2 O as HTL in MAPbI 3 ‐PSC improves the PCE of the cell. [ 21 ] Similarly, the PCE is also improved when TiO 2 is replaced with SnO 2 as ETL in the same cell. [ 22 ] The Cu 2 O–SnO 2 CTL combination, when used with other perovskite materials such as MASnI 3 , produces different results.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of Planar and Inverted Structure Architecture on the Properties of MAGeI₃ Perovskite Solar Cells

Jan,

Noman

2023

Energy Tech

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CTL have remarkable influence on the stability and efficiency of PSC. Different CTL combination used with the perovskite forms unique energy band alignment and electric field. They have significant effects on the optoelectrical properties of PSC. Identifying the right CTL for perovskite is crucial. In this work, the PSC of CH3NH3GeI3 are modeled in SCAPS‐1D with 13 CTL. Because of their high carrier‐mobility, chemical‐stability, and excellent electric/thermal conductivity, copper, kesterite and carbon CTL have been selected. The PSC was analyzed in planar(n‐i‐p) and inverted(p‐i‐n). A systematic approach has been adopted to analyze the influence of CTL on the quantum‐efficiency, absorption, transmissivity, band‐alignment, electric‐field, recombination, and IV‐characteristics in both architectures. To further enhance the efficiency, design optimization of layer thickness and doping has been carried‐out. Moreover, the effect of defects, temperature, reflection, and front/back workfunctions on the performance of PSC has also been studied. Based on the results PCBM performed better in planar while C60 performed better in inverted. Most of the Cu‐HTL performed better in inverted architecture while most of the kesterite‐HTLs performed better in planar architecture. The best‐performing inverted perovskite structures was PCBM/Per/CuAlO2 with PCE of 24.32 %, while the best planar structure was C60/Per/CuAlO2 with PCE of 14.82 %.This article is protected by copyright. All rights reserved.

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“…1 including VOC, JSC, FF, and PCE refer to the solar cell's open circuit voltage, short circuit current, Fill Factor, and power conversion efficiency, respectively.All of the studies mentioned in Table2.1, were validated with similar experimental data. For instance, according to the data validated for the Au/ Spiro-OMeTAD/ CH 3 NH 3 PbI 3 / TiO 2 / FT O in the mentioned work in the table ([11]), the photovoltaic parameters including V OC , J SC , FF, PCE was 1.08V , 22.43 mA/cm 2 , 79.63%, 19.26% for simulation and 0.98V , 21.20mA/cm 2 , 77.60%, 18.70% for experimental works, respectively.In 2021, Bouarissa et al modeled a CZTS solar cell with the new proposed ZnO/MoS 2 /CZT S structure using the SCAPS-1D software package. They performed the optimization of each layer's thickness and obtained a final efficiency of about 23%[12].…”

mentioning

confidence: 96%

Mathematical Modeling Application in Energy Conversion and Energy Storage

Delibaş

HOSSEİNİ²,

NİAİE³

2022

Journal of Mathematical Sciences and Modelling

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This article reviews mathematical modeling applications in energy conversion and energy storage. In the first section, the primary emphasis is on energy conversion, mainly focusing on solar cells and fuel cells' structure and methods of modeling and prediction of their performances. Modeling of Perovskite solar cell modules is one of the major components responsible for the proper functioning of PV systems. Modeling provides ways to understand PV modules' current, voltage, and power relationships. However, the estimation of models is affected by various intrinsic and extrinsic factors, which ultimately influence current and voltage behavior. Therefore, perfect modeling is essential to estimate the performance of PV modules in different environmental conditions. In the second section, the major emphasis is on energy storage focuses on modeling the structure and performance of batteries and supercapacitors. Supercapacitors and batteries are electrochemical energy storage devices that can be charged in a matter of seconds to minutes. This efficient storage of energy is based on the adsorption of an electrolyte to a high-surface-area electrode. These marvelous properties led to extensive concerted research into the nature of the storage mechanism, electrode design, and especially new optimized materials. Mathematical modeling has become an effective method in energy storage science, contributing to the development and optimization of electric generators and energy storage devices. It is thus a suitable method for analyzing a battery and supercapacitor’s performance and investigating its mechanism. The simulation is performed in two steps because of the multi-physics nature of energy conversion and storage systems. In the first step, the semiconductor equations are applied, and the electrical response of the electrochemical device is modeled. The second step calculates the thermal equations, while the heat generated in the first step is used as the heat source.

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Performance Comparison of Different Hole Transport Layer Configurations in a Perovskite-based Solar Cell using SCAPS-1D Simulation

Cited by 12 publications

References 12 publications

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Analyzing the Effect of Planar and Inverted Structure Architecture on the Properties of MAGeI₃ Perovskite Solar Cells

Mathematical Modeling Application in Energy Conversion and Energy Storage

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Performance Comparison of Different Hole Transport Layer Configurations in a Perovskite-based Solar Cell using SCAPS-1D Simulation

Cited by 12 publications

References 12 publications

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI3 perovskite solar cells with Kesterite HTLs

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI3 perovskite solar cells with Kesterite HTLs

Analyzing the Effect of Planar and Inverted Structure Architecture on the Properties of MAGeI3 Perovskite Solar Cells

Mathematical Modeling Application in Energy Conversion and Energy Storage

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Product

Resources

About

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Influence of absorption, energy band alignment, electric field, recombination, layer thickness, doping concentration, temperature, reflection and defect densities on MAGeI₃ perovskite solar cells with Kesterite HTLs

Analyzing the Effect of Planar and Inverted Structure Architecture on the Properties of MAGeI₃ Perovskite Solar Cells