Simulation and optimization of Lattice Mismatched InGaAs Thermophotovoltaic Cell

Shuangela Joy Sebastian, Wan Abd Rashid, H. J. Lee, M. Z. Jamaludin, P. Ker, M. Gamel
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Abstract

Thermophotovoltaic (TPV) system harvests heat from thermal radiation where the photons are absorbed by a photovoltaic (PV) cell device and generates electrical energy. InGaAs is one of the popular III-V semiconductors material and has a great potential to be an efficient TPV cell if further optimization and improvements are made. In this paper, In0.68 Ga0.32 As with bandgap energy of 0.6 eV and cut-off wavelength at 2.1 $\mu \mathrm{m}$ is modeled and optimized using TCAD simulation software. InAsP buffer layers were incorporated to reduce 1.1% lattice-matched effect between the device layer and lnP substrate. The cell’s base and emitter layers were optimized by varying the thickness and the doping concentration of the cell layer individually under 1400 K blackbody spectrum. The optimization of emitter thickness and base doping concentration significantly contribute to a higher cell performance. An emitter thickness of 0.06 $\mu \mathrm{m}$ contributes to an efficiency ($\eta$) of 25.55% while a base doping concentration of 1 × 1016 cm−3 recorded 23.08% of $\eta$.
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晶格错配InGaAs热光伏电池的仿真与优化
热光伏(TPV)系统从热辐射中收集热量,光子被光伏(PV)电池设备吸收并产生电能。InGaAs是流行的III-V半导体材料之一,如果进一步优化和改进,它有很大的潜力成为高效的TPV电池。本文利用TCAD仿真软件对带隙能量为0.6 eV、截止波长为2.1 $\mu \mathrm{m}$的In0.68 Ga0.32 As进行了建模和优化。在器件层和lnP衬底之间加入InAsP缓冲层,降低了1.1%的晶格匹配效应。在1400 K黑体光谱下,分别改变电池层的厚度和掺杂浓度,优化了电池的基底层和发射极层。优化发射极厚度和基极掺杂浓度有助于提高电池性能。当极极厚度为0.06 $\mu \mathrm{m}$时,效率($\eta$)为25.55%,而碱掺杂浓度为1 × 1016 cm−3时,效率($\eta$)为23.08%。
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