journal article·2018-12-31Open access

Refractive indices of layers and optical simulations of Cu(In,Ga)Se2 solar cells

Romain Carron, Enrico Avancini, Thomas Feurer, Benjamin Bissig, Paolo A. Losio, Renato Figi, Claudia Schreiner, Melanie Bürki, Emilie Bourgeois, Zdenek Remes, Milos Nesladek, Stephan Buecheler, Ayodhya N. Tiwari

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 Ga and Cu compositions as parameters. This set of parameters allows accurate device simulations to understand remaining absorption and carrier collection losses and develop strategies to improve performances.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Chalcogenide Semiconductor Thin Films · Quantum Dots Synthesis And Properties · Copper-based nanomaterials and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratory for Thin films and Photovoltaics, Empa – Swiss Federal Laboratories for Materials Science and Technology , Dübendorf, Switzerland

Institute of Computational Physics, Zurich University of Applied Sciences (ZHAW) , Winterthur, Switzerland

Laboratory for Advanced Analytical Technologies, Empa – Swiss Federal Laboratories for Materials Science and Technology , Dübendorf, Switzerland

Institute for Materials Research (IMO), Hasselt University , Diepenbeek, Belgium

IMOMEC Division, IMEC , Diepenbeek, Belgium

Institute of Physics, Academy of Sciences of the Czech Republic , Prague, Czech Republic

Funding

Bundesamt für Energie · Horizon 2020 Framework Programme · Kompetenzzentrum für Energie und Mobilität · Staatssekretariat für Bildung, Forschung und Innovation

References (57)

Show source-provided references
1. 10.1002/pssr.v10.810.1002/pssr.v10.8 ↗
2. 10.1038/nmat378910.1038/nmat3789 ↗
3. 10.1103/PhysRevApplied.2.03401210.1103/PhysRevApplied.2.034012 ↗
4. Palik ED · 1991
5. 10.1016/S0040-6090(98)01490-410.1016/S0040-6090(98)01490-4 ↗
6. 10.1007/978-1-4419-1638-910.1007/978-1-4419-1638-9 ↗
7. 10.1063/1.34241910.1063/1.342419 ↗
8. 10.1143/JJAP.36.623710.1143/JJAP.36.6237 ↗
9. Palik ED · 1991
10. 10.1002/(ISSN)1521-396X10.1002/(ISSN)1521-396X ↗
11. 10.1103/PhysRevB.90.20542210.1103/PhysRevB.90.205422 ↗
12. 10.1143/JJAP.37.L7110.1143/JJAP.37.L71 ↗
13. 10.1002/pip.v23.610.1002/pip.v23.6 ↗
14. 10.1002/pip.v25.310.1002/pip.v25.3 ↗
15. 10.1016/j.solmat.2013.04.01410.1016/j.solmat.2013.04.014 ↗
16. 10.1016/S0022-0248(97)00833-610.1016/S0022-0248(97)00833-6 ↗
17. 10.1080/2001409110421510.1080/20014091104215 ↗
18. Beilharz C · 1999
19. 10.1007/BF0265459010.1007/BF02654590 ↗
20. 10.1063/1.158134510.1063/1.1581345 ↗
21. 10.1103/PhysRevB.63.07520310.1103/PhysRevB.63.075203 ↗
22. 10.1007/s00339010093110.1007/s003390100931 ↗
23. 10.1063/1.479017410.1063/1.4790174 ↗
24. 10.1063/1.492130010.1063/1.4921300 ↗
25. 10.1109/JPHOTOV.2013.228274510.1109/JPHOTOV.2013.2282745 ↗
26. 10.1002/pip.277410.1002/pip.2774 ↗
27. 10.1007/s10853-005-0576-010.1007/s10853-005-0576-0 ↗
28. 10.4028/www.scientific.net/SSP.21310.4028/www.scientific.net/SSP.213 ↗
29. Kuzmenko A · Guide to RefFIT: software to fit optical spectra · 2018
30. 10.1063/1.36710110.1063/1.367101 ↗
31. 10.1002/(ISSN)1521-388910.1002/(ISSN)1521-3889 ↗
32. 10.1186/2193-1801-3-8210.1186/2193-1801-3-82 ↗
33. 10.1016/j.tsf.2004.11.00110.1016/j.tsf.2004.11.001 ↗
34. 10.1016/j.solmat.2006.12.01410.1016/j.solmat.2006.12.014 ↗
35. 10.1103/PhysRev.93.63210.1103/PhysRev.93.632 ↗
36. 10.1088/0370-1301/67/10/30610.1088/0370-1301/67/10/306 ↗
37. 10.1103/PhysRevB.37.1024410.1103/PhysRevB.37.10244 ↗
38. 10.1103/PhysRevB.25.783610.1103/PhysRevB.25.7836 ↗
39. 10.1016/j.solmat.2007.04.02210.1016/j.solmat.2007.04.022 ↗
40. 10.1063/1.271915810.1063/1.2719158 ↗
41. 10.1063/1.164152410.1063/1.1641524 ↗
42. 10.1109/WCPEC.2006.27947910.1109/WCPEC.2006.279479 ↗
43. 10.1063/1.10057610.1063/1.100576 ↗
44. 10.1016/0030-4018(86)90270-110.1016/0030-4018(86)90270-1 ↗
45. 10.1063/1.35990110.1063/1.359901 ↗
46. 10.1063/1.275571810.1063/1.2755718 ↗
47. 10.1063/1.476712010.1063/1.4767120 ↗
48. 10.1103/PhysRevB.57.964210.1103/PhysRevB.57.9642 ↗
49. 10.1063/1.475272310.1063/1.4752723 ↗
50. 10.1103/PhysRevB.80.23520110.1103/PhysRevB.80.235201 ↗
51. 10.1016/j.tsf.2008.10.14010.1016/j.tsf.2008.10.140 ↗
52. 10.1063/1.148530110.1063/1.1485301 ↗
53. 10.1063/1.36291410.1063/1.362914 ↗
54. 10.1080/14686996.2018.144431710.1080/14686996.2018.1444317 ↗
55. Byrnes SJ · Multilayer optical calculations. arXiv.org · 2016 · 1603 · 02720
56. 10.1007/s11082-006-9049-110.1007/s11082-006-9049-1 ↗
57. 10.1016/j.tsf.2016.10.05710.1016/j.tsf.2016.10.057 ↗