2018
DOI: 10.1080/14686996.2018.1458579
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Refractive indices of layers and optical simulations of Cu(In,Ga)Se2 solar cells

Abstract: Cu(In,Ga)Se2 based solar cells have reached efficiencies close to 23%. Further knowledge-driven improvements require accurate determination of the material properties. Here, we present refractive indices for all layers in Cu(In,Ga)Se2 solar cells with high efficiency. The optical bandgap of Cu(In,Ga)Se2 does not depend on the Cu content in the explored composition range, while the absorption coefficient value is primarily determined by the Cu content. An expression for the absorption spectrum is proposed, with… Show more

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Cited by 51 publications
(77 citation statements)
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“…It should be noted that the activation energies for the strongly graded cells (BG2 + BG3) lie above the bandgap determined from the EQE. We assume that all EQE bandgaps are measured slightly lower because of the influence of tail states on the optical absorption [24]. …”
Section: Resultsmentioning
confidence: 99%
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“…It should be noted that the activation energies for the strongly graded cells (BG2 + BG3) lie above the bandgap determined from the EQE. We assume that all EQE bandgaps are measured slightly lower because of the influence of tail states on the optical absorption [24]. …”
Section: Resultsmentioning
confidence: 99%
“…To do so we modeled the light propagation in a multilayer solar cell by using the transfer matrix method formalism following the approach of Ref. [24], which notably takes into account reflectance and parasitic absorption in window layers. The compositional gradings of Figure 1 were discretized in 25 nm thick slices and the EQE was computed as the cumulated absorption in each of the CIGS slices, assuming perfect collection of the charge carriers.…”
Section: Resultsmentioning
confidence: 99%
“…Illuminated J-V characteristics (AM1.5G) were calculated using input parameters shown in the supporting information (Table 1 supp.). The employed optical properties were previously measured on CIGS samples with different compositions and on all additional layers by transmittance-reflectance spectroscopy and spectroscopic ellipsometry (details published elsewhere [22]). At the voids’ internal surfaces, surface recombination velocities were varied between 2 · 10 3 cm/s and 1 · 10 5 cm/s.
10.1080/14686996.2018.1536679-F0009Figure 9.Structures employed in three-dimensional void simulations.
…”
Section: Discussionmentioning
confidence: 99%
“…Details can be found in previous publications (standard calibration in the publication by Carron et al [22]).…”
Section: Methodsmentioning
confidence: 99%
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