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Quantitative Disentanglement of Fill Factor Losses in Kesterite Solar Cells Via an Integrated Experimental–Simulation Framework

2026-06-27 · Small

One-line summary

A solar energy research paper on Quantitative Disentanglement of Fill Factor Losses in Kesterite Solar Cells Via an Integrated Experimental–Simulation Framework.

Engineering notes

Engineering notes will be added by the Power for Solar editorial team.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

ABSTRACT Kesterite Cu 2 ZnSnS 4 (CZTS) solar cells offer an earth‐abundant and non‐toxic alternative to Cu(In,Ga)Se 2 photovoltaics, yet their efficiencies remain markedly lower, largely due to a persistently low fill factor (FF) in addition to substantial open‐circuit voltage deficits. While the open‐circuit voltage deficit has been extensively investigated, the physical origins of FF losses remain insufficiently understood due to multiple intertwined mechanisms. Here, we establish an integrated experimental‐simulation framework to quantitatively disentangle FF loss channels in solution‐processed sulfide CZTS solar cells. By combining temperature‐dependent photoluminescence, deep‐level transient spectroscopy, impedance spectroscopy, and transient photocurrent/photovoltage measurements with diode‐equation‐based modeling, the total FF deficit is decomposed into contributions from defect‐mediated recombination, Schottky‐type back‐contact barriers, and carrier extraction inefficiencies. Using Cd‐alloyed CZTS as a model system, we find that Cd incorporation suppresses Sn‐related defect recombination, eliminates back‐contact barriers, and improves carrier collection, collectively enhancing the FF from 53.9% to 65.2%, accompanied by an efficiency increase from 7.3% to 12.1%. Moreover, Ag incorporation further validates the generality of the framework, yielding an FF of 71%, among the highest values reported for pure sulfide kesterite solar cells. Overall, this work establishes a quantitative and generalizable framework for diagnosing and mitigating FF losses in complex multinary semiconductors.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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