Artigo Acesso aberto Revisado por pares

Predicting Solar Cell Performance from Terahertz and Microwave Spectroscopy

2022; Wiley; Volume: 12; Issue: 13 Linguagem: Inglês

10.1002/aenm.202102776

ISSN

1614-6840

Autores

Hannes Hempel, Tom J. Savenjie, Martin Stolterfoht, Jens Neu, Michele Failla, Vaisakh C. Paingad, P. Kužel, Edwin J. Heilweil, Jacob A. Spies, Markus Schleuning, Jiashang Zhao, Dennis Friedrich, Klaus Schwarzburg, Laurens D. A. Siebbeles, Patrick Dörflinger, Vladimir Dyakonov, Ryuzi Katoh, Min Ji Hong, John G. Labram, Maurizio Monti, Edward Butler‐Caddle, James Lloyd‐Hughes, Mohammad M. Taheri, Jason B. Baxter, Timothy J. Magnanelli, Simon Luo, Joseph M. Cardon, Shane Ardo, Thomas Unold,

Tópico(s)

Chalcogenide Semiconductor Thin Films

Resumo

Abstract Mobilities and lifetimes of photogenerated charge carriers are core properties of photovoltaic materials and can both be characterized by contactless terahertz or microwave measurements. Here, the expertise from fifteen laboratories is combined to quantitatively model the current‐voltage characteristics of a solar cell from such measurements. To this end, the impact of measurement conditions, alternate interpretations, and experimental inter‐laboratory variations are discussed using a (Cs,FA,MA)Pb(I,Br) 3 halide perovskite thin‐film as a case study. At 1 sun equivalent excitation, neither transport nor recombination is significantly affected by exciton formation or trapping. Terahertz, microwave, and photoluminescence transients for the neat material yield consistent effective lifetimes implying a resistance‐free JV‐curve with a potential power conversion efficiency of 24.6 %. For grainsizes above ≈20 nm, intra‐grain charge transport is characterized by terahertz sum mobilities of ≈32 cm 2 V −1 s −1 . Drift‐diffusion simulations indicate that these intra‐grain mobilities can slightly reduce the fill factor of perovskite solar cells to 0.82, in accordance with the best‐realized devices in the literature. Beyond perovskites, this work can guide a highly predictive characterization of any emerging semiconductor for photovoltaic or photoelectrochemical energy conversion. A best practice for the interpretation of terahertz and microwave measurements on photovoltaic materials is presented.

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