Combined optical-electrical modeling of perovskite solar cell with an optimized design

Bendib, T.; Bencherif, H.; Abdi, M.A.; Meddour, F.; Dehimi, L.; Chahdi, M.

doi:10.1016/j.optmat.2020.110259

Cited by 61 publications

(24 citation statements)

References 42 publications

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“…Table 3 reports the state of the power conversion efficiency for different perovskite solar cell structures [19][20][21][22][23]. We can conclude that the proposed solar cell structures exhibit a good performance compared to other devices.…”

Section: Resultsmentioning

confidence: 87%

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Chahmi¹,

Bouras²,

Hadjab³

et al. 2023

PIER Letters

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Nanostructure based perovskite solar cells with high performance are the focus of study in current work, keeping in view the improvement in cell efficiency. In the first part of the study, a plane-layered solar cell is studied by adding a 1D Photonic Crystal (1D PhC) at the bottom of the cell in order to facilitate the photon rotation process. However, in the second part of the study, it is observed that the addition of grating enhances the light absorption due to photon trapping. Following that, the light absorption of three different structures is compared. The observations reveal that the short-circuit current density (Jsc) is found to be −39.93 mA/cm 2 , which is 87.29% higher than that for a planar structure exhibiting the short-circuit current density (Jsc) value of −21.32 mA/cm 2 . Finally, the efficiencies of these nanostructured perovskite solar cells are found to be significant. For the proposed solar cell structure an 87.24% improvement in the power conversion efficiency (PCE) is observed, i.e., from 14.03% for the planar structure to 26.27%.

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Section: Resultsmentioning

confidence: 87%

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Chahmi¹,

Bouras²,

Hadjab³

et al. 2023

PIER Letters

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“…This makes it possible to simulate devices with numerous layers of varying thickness relatively quickly even on personal computers, making this method accessible to researchers without access to supercomputing facilities. Hence, this method is best suited for quick simulations of the optical behavior of planar devices such as solar cells , and LEDs. , In addition, when Bruggeman-like EMA models are applied to surface roughness (simulated by assuming a fixed percentage of air voids in the film) described by a 1D graded index model, TMM can easily compute the wave transmission profile. This has been verified for MAPbI 3 thin films, solar cells of different configurations, , and even metamaterial-based stacks …”

Section: Device Simulationsmentioning

confidence: 99%

“…This can be done on an appropriate tool that is capable of calculating light propagation and then incorporates solutions of driftdiffusion of carriers 149 and continuity equations in the position space 150 to describe charge transport within the stack as well as takes into account Poisson's equation and the recombination dynamics of charge carriers. 151 For this, a number of commercial software (some open-source) are readily available such as SCAPS, 152 AMPS, 153 GPVDM, 154 Silvaco, 155 Sentaurus TCAD, 156 SETFOS, 157 and so on. These provide separate modules for computing the absorption and emission profiles in the stack, thus allowing comprehensive electro-optic modeling simultaneously.…”

Section: General Example Of the Simulation Approach For Amentioning

confidence: 99%

Optical Simulations in Perovskite Devices: A Critical Analysis

et al. 2022

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With halide perovskite gaining popularity for optoelectronics application, it is imperative to push for device stacks with minimum optical losses and maximum efficiency. However, the vast plethora of material systems and device architectures available through computerized combinatorial analysis made experimental trials for each proposed possibility impractical. Thus, high-throughput optical simulations in conjunction to comprehensive electronic modeling are necessary to predict outputs and minimize experimental efforts involved. Here, we aim to critically summarize some of the most intuitive and efficient approaches to optical modeling for perovskite-based devices and work toward a consensus on the best avenues to utilize these models. First, the nuances of ellipsometry measurements for ascertaining accurate optical constants of perovskite are discussed. Modeling techniques (such as ray tracing, transfer matrices, finite difference time domain, and finite element methods) to simulate the optical interaction within the device are then elaborated focusing on their advantages and limitations. Next, the primary challenges to attaining greater accuracy of optical constant data as well as insights on the future trends are identified. Finally, an interactive flowchart-based decision tree to ascertain the best simulation technique for a given optoelectronic device architecture is built, which will greatly help experimental scientists and beginners in optical modeling.

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“…For an appropriate selection of ETL materials, numerical simulation is an essential tool to predict device functionality prior to manufacturing. By means of a combinatory method based on the transfer matrix and SCAPS-1D, Bendib et al demonstrated that SnO 2 and ZnO are suitable ETLs for CH 3 NH 3 PbI 3 perovskite in terms of good band alignment and optical characteristics . In another study, ZnOS has been proven to be the best ETL material among TiO 2 , CdS, ZnSe, and ZnO, reaching the highest simulated PCE of ∼26% after optimizing the thickness, while WO 3 is found to be the efficient electron transport material because of the large band gap ( E g ) and correct band alignment with the CH 3 NH 3 PbI 3 perovskite layer …”

Section: Introductionmentioning

confidence: 99%

Path toward the Performance Upgrade of Lead-Free Perovskite Solar Cells Using Cu₂ZnSn_1–xGe_xS₄ as a Hole Transport Layer: A Theoretical Simulation Approach

Mora-Herrera¹,

Pal²

2022

J. Phys. Chem. C

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Recently, formamidinium tin iodide (CH(NH2)2SnI3, FASnI3) perovskite has emerged as a promising candidate for lead-free perovskite solar cells. However, a limited power conversion efficiency (PCE) was achieved when the conventional TiO2 and Spiro-OMeTAD were selected as the electron transport layer and hole transport layer (ETL/HTL), respectively. By employing numerical modeling of the FTO/TiO2/FASnI3/Spiro-OMeTAD/Au heterostructure, we noticed that the conduction-band offset (ΔE C) between TiO2/perovskite and valence-band offset (ΔE V) between perovskite/Spiro-OMeTAD layers are suboptimal, resulting in limited PCE. To overcome this shortcoming, we replace WO3 and inorganic Cu2ZnSn1–x Ge x S4 (CZTGS) as the ETL and HTL, respectively, which dramatically improves the PCE by creating a suitable ΔE C and ΔE V. This behavior has been investigated by the simulation using impedance spectroscopy, revealing that the high V OC and PCE are attributed to the relatively large recombination resistance (R rec) at the CZTGS/perovskite interface. Further enhancement in PCE has been attained by replacing the MoO x :Au composite for the Au back contact. Considering the paramount importance of electronic levels of the active layer in device physics, we further optimize the band gap and electron affinity of the FASnI3 layer and study the corresponding changes in solar cell parameters. The combined effect of material simulation on the modified device exhibited an inspiring PCE of 17.1% and V OC of 0.75 V, which are mainly attributed to the correct energy level alignment at different heterojunctions and suitable work function of the alternative back contact.

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Combined optical-electrical modeling of perovskite solar cell with an optimized design

Cited by 61 publications

References 42 publications

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Optical Simulations in Perovskite Devices: A Critical Analysis

Path toward the Performance Upgrade of Lead-Free Perovskite Solar Cells Using Cu₂ZnSn_1–xGe_xS₄ as a Hole Transport Layer: A Theoretical Simulation Approach

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Combined optical-electrical modeling of perovskite solar cell with an optimized design

Cited by 61 publications

References 42 publications

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Light Trapping for Absorption Control in Perovskite-based Photovoltaic Solar Cells

Optical Simulations in Perovskite Devices: A Critical Analysis

Path toward the Performance Upgrade of Lead-Free Perovskite Solar Cells Using Cu2ZnSn1–xGexS4 as a Hole Transport Layer: A Theoretical Simulation Approach

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Path toward the Performance Upgrade of Lead-Free Perovskite Solar Cells Using Cu₂ZnSn_1–xGe_xS₄ as a Hole Transport Layer: A Theoretical Simulation Approach