Modeling Efficiency of InAs-Based Near-Field Thermophotovoltaic Devices

G. Forcade, C. Valdivia, Shengyuan Lu, S. Molesky, Alejandro W. Rodriguez, J. Krich, R. St-Gelais, K. Hinzer
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Abstract

Enormous potential lies in waste-heat recycling for the world’s industrial sector. Portable solid-state modules are a universal low-maintenance method to recycle this waste-heat. One such technology, near-field thermophotovoltaics (NFTPV), relies on a heat source in extreme proximity (<200 nm) to a photovoltaic cell, which then generates electricity. We developed an optoelectronic model where electron-hole pair generation rates are calculated using fluctuation electrodynamics, which we input into an electrical model based in Synopsys TCAD Sentaurus. Using our optoelectronic model, we optimized a novel InAs-based NFTPV device for a 700 K radiator 100 nm away from the PV cell with an efficiency reaching ~17%, more than an order of magnitude higher than current NFTPV device efficiencies.
基于inas的近场热光伏器件的建模效率
世界工业部门的废热回收潜力巨大。便携式固态模块是一种普遍的低维护方法来回收这些废热。其中一项技术是近场热光伏(NFTPV),它依赖于一个距离光伏电池极近(<200纳米)的热源,然后光伏电池产生电力。我们开发了一个光电模型,其中使用波动电动力学计算电子-空穴对产生率,我们将其输入到基于Synopsys TCAD Sentaurus的电学模型中。利用我们的光电模型,我们优化了一种新型的基于inas的NFTPV器件,在距离PV电池100 nm的700 K散热器上,效率达到了~17%,比目前的NFTPV器件效率高出一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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