Effect of Front-Surface-Field and Back-Surface-Field on the Performance of GaAs Based-Photovoltaic Cell

Gamel, Mansur Mohammed Ali; Ker, Pin Jern; Rashid, Emilin; Lee, Hui Jing; Lau, Kuen Yao; Wong, Benjamin W. A.

doi:10.1109/sensorsnano44414.2019.8940098

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Additionally, most TPV cells require front and back surface field layers to optimize cell performance. These layers enhance the collection of long and short photogenerated carriers [ 242 ]. Hence, expensive epitaxial growth is employed in the deposition process of these layers.…”

Section: Challenges and Recommendationmentioning

confidence: 99%

A Review on Thermophotovoltaic Cell and Its Applications in Energy Conversion: Issues and Recommendations

et al. 2021

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Generally, waste heat is redundantly released into the surrounding by anthropogenic activities without strategized planning. Consequently, urban heat islands and global warming chronically increases over time. Thermophotovoltaic (TPV) systems can be potentially deployed to harvest waste heat and recuperate energy to tackle this global issue with supplementary generation of electrical energy. This paper presents a critical review on two dominant types of semiconductor materials, namely gallium antimonide (GaSb) and indium gallium arsenide (InGaAs), as the potential candidates for TPV cells. The advantages and drawbacks of non-epitaxy and epitaxy growth methods are well-discussed based on different semiconductor materials. In addition, this paper critically examines and summarizes the electrical cell performance of TPV cells made of GaSb, InGaAs and other narrow bandgap semiconductor materials. The cell conversion efficiency improvement in terms of structural design and architectural optimization are also comprehensively analyzed and discussed. Lastly, the practical applications, current issues and challenges of TPV cells are critically reviewed and concluded with recommendations for future research. The highlighted insights of this review will contribute to the increase in effort towards development of future TPV systems with improved cell conversion efficiency.

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Section: Challenges and Recommendationmentioning

confidence: 99%

A Review on Thermophotovoltaic Cell and Its Applications in Energy Conversion: Issues and Recommendations

et al. 2021

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“…The theoretical approaches in the previous study show that the efficiency enhances from 15.0% to the highest 38.20% till now. From the simulation works, we have determined larger V oc and ŋ compared to the reported values [13,14,22,25,[37][38][39]. The value of FF and J sc obtained from the numerical study is also higher than that in most of the previous reported values.…”

Section: Enhancement Of Performance Parameter P-gaasn Solar Cellmentioning

confidence: 77%

Design and analysis of GaAsN based solar cell for harvesting visible to near-infrared light

Haque¹,

Ali²,

Hossain³

et al. 2022

Phys. Scr.

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In the present study, the performance parameters of GaAsN dilute nitride-based semiconductor solar cell with and without AlGaAs blocking layers have been investigated in detail by Solar Cell Capacitance Simulator in one dimensional software program (SCAPS-1D). The thickness of absorber, buffer, and blocking layers are varied to achieve the improvement of open circuit voltage, short circuit current, fill factor, efficiency and also to optimize the device structure. The impact of doping and defect densities on the solar cell performance parameters have been analyzed minutely inside the absorber, buffer, and blocking layers. The solar cell thermal stability parameters are also investigated in the temperature region from 273K to 373K. The efficiency of 43.90% and 40.05% are obtained from the proposed solar cells with and without AlGaAs blocking layer, respectively. The present findings may provide insightful approach for fabricating feasible, cost effective, and efficient dilute nitride solar cell.

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“…A further explanation for the high EQE is due to the effective separation and collection of generated carriers. In0.53Ga0.47As structure is frequently constructed with FSF and BSF layers to reduce the surface recombination and enhance the Voc 41,81 . High to low doping concentration between the FSF or BSF and the active junction is vital to generate a SCR similar to the SCR between n-p junction.…”

Section: Multi-dimensional Optimization Using Real Coded Genetic Algomentioning

confidence: 99%

Multi-Dimensional Optimization of In0.53Ga0.47As Thermophotovoltaic Cell using Real Coded Genetic Algorithm

Gamel

Ker

Lee

et al. 2020

Preprint

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The optimization of thermophotovoltaic (TPV) cell efficiency is essential since it leads to a significant increase in the output power. Typically, the optimization of In0.53Ga0.47As TPV cell has been limited to single variable such as the emitter thickness, while the effects of the variation in other design variables are assumed to be negligible. The reported efficiencies of In0.53Ga0.47As TPV cell mostly remain < 15%. Therefore, this work develops a multi-variable or multi-dimensional optimization of In0.53Ga0.47As TPV cell using the real coded genetic algorithm (RCGA) under various radiation temperatures. RCGA was developed using Visual Basic and it was hybridized with Silvaco TCAD for the electrical characteristics simulation. Under radiation temperatures from 800 K to 2000 K, the optimized In0.53Ga0.47As TPV cell efficiency increases by an average percentage of 11.86% (from 8.5% to 20.35%) as compared to the non-optimized structure. It was found that the incorporation of a thicker base layer with the back-barrier layers enhances the separation of charge carriers and increases the collection of photo-generated carriers near the band-edge, producing an optimum output power of 0.55 W/cm2 (cell efficiency of 22.06%, without antireflection coating) at 1400 K radiation spectrum. The results of this work demonstrate the great potential to generate electricity sustainably from industrial waste heat and the multi-dimensional optimization methodology can be adopted to optimize semiconductor devices, such as solar cell, TPV cell and photodetectors.

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Effect of Front-Surface-Field and Back-Surface-Field on the Performance of GaAs Based-Photovoltaic Cell

Cited by 7 publications

References 29 publications

A Review on Thermophotovoltaic Cell and Its Applications in Energy Conversion: Issues and Recommendations

A Review on Thermophotovoltaic Cell and Its Applications in Energy Conversion: Issues and Recommendations

Design and analysis of GaAsN based solar cell for harvesting visible to near-infrared light

Multi-Dimensional Optimization of In0.53Ga0.47As Thermophotovoltaic Cell using Real Coded Genetic Algorithm

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