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原位纳米级X射线分析揭示铜铟镓硒太阳能电池中富铷晶界的局部电学性质

In-Operando Nanoscale X-ray Analysis Revealing the Local Electrical Properties of Rubidium-Enriched Grain Boundaries in Cu(In,Ga)Se Solar Cells.

作者信息

Plass Christian T, Ritzer Maurizio, Schöppe Philipp, Schönherr Sven, Zapf Maximilian, Hafermann Martin, Johannes Andreas, Martínez-Criado Gema, Segura-Ruiz Jaime, Würz Roland, Jackson Philip, Schnohr Claudia S, Ronning Carsten

机构信息

Institut für Festkörperphysik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany.

ESRF - The European Synchrotron, 71 Avenue des Martyrs, 38043 Grenoble, France.

出版信息

ACS Appl Mater Interfaces. 2020 Dec 23;12(51):57117-57123. doi: 10.1021/acsami.0c17849. Epub 2020 Dec 11.

DOI:10.1021/acsami.0c17849
PMID:33306357
Abstract

Chalcogenide Cu(In,Ga)Se solar cells yield one of the highest efficiencies among all thin-film photovoltaics. However, the variability of the absorber compositions and incorporated alkali elements strongly affect the conversion efficiency. Thus, effective strategies for spatially resolved tracking of the alkali concentration and composition during operation are needed to alleviate this limitation. Here, using a hard X-ray nanoprobe, we apply a synergistic approach of X-ray fluorescence analysis and X-ray beam-induced current techniques under operando conditions. The simultaneous monitoring of both compositional and functional properties in complete solar cells illustrates the exceptional capabilities of this combination of techniques in top-view geometry, where high spatial resolution resulted even underneath the electrical contacts. Our observations reveal Rb agglomerations in selected areas and compositional variations between different grains and their boundaries. The concurrent detection of the functionality exhibits negligible effects on the collection efficiency for Rb-enriched grain boundaries in comparison to their neighboring grains, which indicates the passivation of detrimental defects.

摘要

硫族化物铜铟镓硒(Cu(In,Ga)Se)太阳能电池在所有薄膜光伏电池中具有最高的效率之一。然而,吸收体成分和掺入的碱金属元素的变异性强烈影响转换效率。因此,需要有效的策略来在运行过程中对碱金属浓度和成分进行空间分辨跟踪,以缓解这一限制。在此,我们使用硬X射线纳米探针,在操作条件下应用X射线荧光分析和X射线束诱导电流技术的协同方法。在完整的太阳能电池中同时监测成分和功能特性,说明了这种技术组合在顶视图几何结构中的卓越能力,即使在电接触下方也能实现高空间分辨率。我们的观察结果揭示了选定区域中的铷团聚以及不同晶粒及其边界之间的成分变化。与相邻晶粒相比,对富含铷的晶界的功能同时检测显示对收集效率的影响可忽略不计,这表明有害缺陷得到了钝化。

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