首页> 外文期刊>Journal of Physics. Condensed Matter >Effect of the shell material and confinement type on the conversion efficiency of core/shell quantum dot nanocrystal solar cells
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Effect of the shell material and confinement type on the conversion efficiency of core/shell quantum dot nanocrystal solar cells

机译:壳体材料和监禁型对核/壳量子点纳米晶太阳能电池转换效率的影响

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摘要

In this study, the effects of the shell material and confinement type on the conversion efficiency of core/shell quantum dot nanocrystal (QDNC) solar cells have been investigated in detail. For this purpose, the conventional, i.e. original, detailed balance model, developed by Shockley and Queisser to calculate an upper limit for the conversion efficiency of silicon p-n junction solar cells, is modified in a simple and effective way to calculate the conversion efficiency of core/shell QDNC solar cells. Since the existing model relies on the gap energy (E-g) of the solar cell, it does not make an estimation about the effect of QDNC materials on the efficiency of the solar cells, and gives the same efficiency values for several QDNC solar cells with the same E-g. The proposed modification, however, estimates a conversion efficiency in relation to the material properties and also the confinement type of the QDNCs. The results of the modified model show that, in contrast to the original one, the conversion efficiencies of different QDNC solar cells, even if they have the same E-g, become different depending upon the confinement type and shell material of the core/shell QDNCs, and this is crucial in the design and fabrication of the new generation solar cells to predict the confinement type and also appropriate QDNC materials for better efficiency.
机译:在该研究中,已经详细研究了壳材料和限制型对核/壳量子点纳米晶体(QDNC)太阳能电池的转化效率的影响。为此目的,由Shockley和Queiss开发的常规,即原始的详细的平衡模型,以计算硅PN结太阳能电池转换效率的上限,以简单有效的方式来计算核心的转换效率/壳QDNC太阳能电池。由于现有模型依赖于太阳能电池的间隙能量(例如),因此它不会估计QDNC材料对太阳能电池效率的影响,并为几个QDNC太阳能电池提供了相同的效率值相同,例如。然而,所提出的修改估计与材料特性有关的转换效率以及QDNC的矛盾类型。修改模型的结果表明,与原始的QDNC太阳能电池的转换效率相比,即使它们具有相同的例如,根据核心/壳QDNC的限制型和壳材料而变得不同,这对新一代太阳能电池的设计和制造来说是至关重要的,以预测限制型以及适当的QDNC材料以获得更好的效率。

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