Optimizing SCAPS model for perovskite solar cell equivalent circuit with utilizing Matlab-based parasitic resistance estimator algorithm

Eid, Ahmed; Ismail, Zahraa; Abdellatif, Sameh O.

doi:10.1109/niles50944.2020.9257929

Cited by 18 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to further investigate the potential of laser-induced graphene as a counter electrode in PSC compared to gold, and to explore the impact of varying hole and electron transport layers beyond the scope of our experimental capabilities as demonstrated in section 3, we employed the SCAPS-1D simulator to analyze the J – V characteristics of different PSC configurations. In this study, we adapted our previously established SCAPS model as presented in refs , , , , and in conjunction with data sourced from the research literature. , The simulation model was initialized with the experimentally derived material parameters for TiO 2 ,− and NiO, serving as the electron and hole transport layers, respectively, along with FTO and LIG electrodes. Additionally, other materials were considered, such as SnO 2 as a potential electron transport layer, and copper(I) oxide (Cu 2 O) and copper bismuth thiophosphate (CBTS) for the hole transport layers, in conjunction with an Au electrode, guided by data compiled from literature sources. , …”

Section: Solar Cell Simulationmentioning

confidence: 99%

Optoelectronic and Morphological Surface Resistance Evaluation of Laser-Induced Graphene Counter Electrodes for Potential Applications in Cesium Lead Halide Perovskite Solar Cells

Abdellatif,

Ghannam,

Khalifa

2024

ACS Appl. Electron. Mater.

View full text Add to dashboard Cite

This study investigates the physicochemical, optical, and electrical characterization of laser-induced graphene (LIG) samples for integration as counter electrodes in cesium lead halide perovskite solar cells. The impact of laser processing parameters on electrode performance is explored, including laser power, laser speed, and beam defocus. Density functional theory (DFT) computational modeling is employed for atomistic investigation and work function estimation, demonstrating the density of states (DOS), quantum capacitance of the graphene sheets, and energy work function. NiO is utilized as a hole transport layer, and the energy work function of LIG is tuned accordingly. SEM measurements estimate thin film porosity, and optical testing assesses back reflection capabilities in terms of backward scattering. The surface resistance of various samples is tested using a scanning four-probe station concerning FTOcoated glass. A figure of merit is introduced to evaluate the backward scattering due to the porous medium. The macroscopic trade-off between the counter electrode's role as a back reflector and the losses due to surface resistance is addressed. Ultimately, a full perovskite solar cell was constructed, incorporating LIG as a counter electrode, achieving an overall efficiency of 12.52%.

show abstract

Section: Solar Cell Simulationmentioning

confidence: 99%

Optoelectronic and Morphological Surface Resistance Evaluation of Laser-Induced Graphene Counter Electrodes for Potential Applications in Cesium Lead Halide Perovskite Solar Cells

Abdellatif,

Ghannam,

Khalifa

2024

ACS Appl. Electron. Mater.

View full text Add to dashboard Cite

show abstract

“…As a result, the J-V characteristic curve for the proposed lead-free cell was simulated as shown in Figure 6 . We used our previous perovskite solar cell modeling methodology that relies on the Solar Cell Capacitance Simulator (SCAPS-1D) program, as reported in [ 48 , 49 ]. The main theory of operation for the SCAPS-1D is based on the simulation of the electrical characteristics of solar cells, specifically their capacitance behavior.…”

Section: Low-light Energy Harvestingmentioning

confidence: 99%

Integration of Capacitive Pressure Sensor-on-Chip with Lead-Free Perovskite Solar Cells for Continuous Health Monitoring

Abdellatif,

Moustafa,

Khalid

et al. 2023

Micromachines

Self Cite

View full text Add to dashboard Cite

The increasing prevalence of hypertension necessitates continuous blood pressure monitoring. This can be safely and painlessly achieved using non-invasive wearable electronic devices. However, the integration of analog, digital, and power electronics into a single system poses significant challenges. Therefore, we demonstrated a comprehensive multi-scale simulation of a sensor-on-chip that was based on a capacitive pressure sensor. Two analog interfacing circuits were proposed for a full-scale operation ranging from 0 V to 5 V, enabling efficient digital data processing. We also demonstrated the integration of lead-free perovskite solar cells as a mechanism for self-powering the sensor. The proposed system exhibits varying sensitivity from 1.4 × 10−3 to 0.095 (kPa)−1, depending on the pressure range of measurement. In the most optimal configuration, the system consumed 50.5 mW, encompassing a 6.487 mm2 area for the perovskite cell and a CMOS layout area of 1.78 × 1.232 mm2. These results underline the potential for such sensor-on-chip designs in future wearable health-monitoring technologies. Overall, this paper contributes to the field of wearable health-monitoring technologies by presenting a novel approach to self-powered blood pressure monitoring through the integration of capacitive pressure sensors, analog interfacing circuits, and lead-free perovskite solar cells.

show abstract

“…The work functions used for contact layers are 5.1 eV for Au and 4.4 eV for FTO. The ETL and HTL defect density was stated as input parameters, while the interface defect layers, Perovskite/HTL and ETL/perovskite defect layers, were considered during the simulation procedure 24 …”

Section: Optoelectronic Modeling and Dataset Generationmentioning

confidence: 99%

“…The hole transport layer (HTL), the electron transport layer (ETL), and the electrodes are the main essentials layer constructing the PSC beside the active perovskite layer. Consequently, controlling different parameters associated with each layer can influence the overall PCE of the cell 24 . An optimum condition is targeted in such context and for each specific topology and recipe.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, controlling different parameters associated with each layer can influence the overall PCE of the cell. 24 An optimum condition is targeted in such context and for each specific topology and recipe. Literature attempts have demonstrated seeking for optimized PSC, theoretically, 25 numerically, 26 and experimentally 27 using different optimization techniques.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithm

Ismail

Sawires

Amer

et al. 2023

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

The integration of machine learning (ML) models in studying, investigating, and optimizing various electronic devices and materials has significantly glow up. With the aid of ML algorithms and input datasets, data regression and prediction can show the output characteristic performance under a wide range of input combinations. Herein, we utilize a random‐forest ML algorithm to study the influence of nine input design parameters on the overall power conversion efficiency (PCE) of cesium lead halides perovskites cells. The doping levels, the defects densities, and the thicknesses among the perovskite thin film, as well as the hole and electron transport layers, are studied against the cell PCE. The seeded dataset is managed using experimental data and experimentally validated numerical simulations. Datasets of more than 1 512 000 points were generated and seeded to the ML model. The PCE variation against the inputs for the three metal halides was investigated. A 17.8% PCE for CsPbI3 was reached, while PCE of 14.6% and 6.5% were recorded for CsPbBr3, and CsPbCl3, respectively.

show abstract

Optimizing SCAPS model for perovskite solar cell equivalent circuit with utilizing Matlab-based parasitic resistance estimator algorithm

Cited by 18 publications

References 20 publications

Optoelectronic and Morphological Surface Resistance Evaluation of Laser-Induced Graphene Counter Electrodes for Potential Applications in Cesium Lead Halide Perovskite Solar Cells

Optoelectronic and Morphological Surface Resistance Evaluation of Laser-Induced Graphene Counter Electrodes for Potential Applications in Cesium Lead Halide Perovskite Solar Cells

Integration of Capacitive Pressure Sensor-on-Chip with Lead-Free Perovskite Solar Cells for Continuous Health Monitoring

Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithm

Contact Info

Product

Resources

About