Improvement of Performance of CZTSSe Solar Cells by the Synergistic Effect of Back Contact Modification and Ag Doping
Source abstract
Abstract
To improve the performance of Cu 2 ZnSn(S,Se) 4 solar cells, a strategy is proposed to improve the quality of absorber and back interface simultaneously by substituting V-doped Mo (Mo:V) for a conventional Mo back electrode and incorporating Ag into the Cu 2 ZnSn(S,Se) 4 (ACZTSSe) absorber in this work. Since p + -type V-doped MoSe 2 (MoSe 2:V) is formed in the site between the absorber and Mo:V during selenization, the conventional Mo/n-MoSe 2 back contact is modified to Mo:V/p + -MoSe 2:V, a back surface passivation field (BSPF) is established at the back interface, the band bending of MoSe 2:V is downward and that of bottom of the absorber is upward. Further investigation reveals that the back contact modification and Ag doping have a synergistic effect on inhibiting carrier recombination, decreasing series resistance and increasing shunt resistance, thereby leading to the PCE of device without antireflection coating increased from 8.61 to 10.98%, which is larger than the sum of increase in PCE induced by Ag doping alone (8.61 to 9.66%) and back contact modification alone (8.61 to 9.63%). It is demonstrated that the synergistic effect stems mainly from the strengthened BSPF and the further reduced back contact barrier height. The former is due to the increased difference in work function ( W F ) between MoSe 2:V and absorber induced by the reduced W F of the absorber after Ag doping and the raised W F of MoSe 2:V after V doping. The latter is due to the downshifted valence band maximum of absorber after Ag doping. This work highlights the synergistic effect of back contact modification and Ag doping on improving the performance of CZTSSe solar cells and also provides an effective way to suppress carrier recombination.
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
State Key Laboratory of Superhard Material, College of Physics, Jilin University, Changchun 130012, China
Key Laboratory of Physics and Technology for Advanced Batteries (Ministry of Education), College of Physics, Jilin University, Changchun 130012, China
College of Physical Science and Technology, Dalian University, Dalian 116622, China
Funding
Natural Science Foundation of Jilin Province · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
References (53)
Show source-provided references
1. 10.1002/advs.20200431310.1002/advs.202004313 ↗
2. 10.1016/j.solmat.2010.11.02810.1016/j.solmat.2010.11.028 ↗
3. 10.1021/ja305798510.1021/ja3057985 ↗
4. 10.1039/C9EE01726G10.1039/C9EE01726G ↗
5. 10.1021/acs.jpclett.8b0143310.1021/acs.jpclett.8b01433 ↗
6. National Renewable Energy Laboratory. Best Research-Cell Efficiency Chart, 2023. https://www.nrel.gov/pv/cell-efficiency.html (accessed 26 May 2023).
7. 10.1088/1674-1056/24/5/05680510.1088/1674-1056/24/5/056805 ↗
8. 10.1109/JPHOTOV.2019.293721810.1109/JPHOTOV.2019.2937218 ↗
9. 10.1039/D0TA06450E10.1039/D0TA06450E ↗
10. 10.1002/pip.333210.1002/pip.3332 ↗
11. 10.1002/adma.20220285810.1002/adma.202202858 ↗
12. 10.1016/j.solmat.2019.04.03310.1016/j.solmat.2019.04.033 ↗
13. 10.1039/D0EE03702H10.1039/D0EE03702H ↗
14. 10.1002/smll.20220439210.1002/smll.202204392 ↗
15. 10.1039/D1EE03134A10.1039/D1EE03134A ↗
16. 10.1002/adfm.20210192710.1002/adfm.202101927 ↗
17. 10.1002/adfm.20221055110.1002/adfm.202210551 ↗
18. 10.1039/C9TA08310C10.1039/C9TA08310C ↗
19. 10.1016/j.scib.2020.01.00510.1016/j.scib.2020.01.005 ↗
20. 10.1016/j.cej.2022.14059610.1016/j.cej.2022.140596 ↗
21. 10.1038/s41560-023-01251-610.1038/s41560-023-01251-6 ↗
22. 10.1016/j.solmat.2016.09.02910.1016/j.solmat.2016.09.029 ↗
23. 10.1038/am.2017.10310.1038/am.2017.103 ↗
24. 10.1016/j.jmat.2020.11.00810.1016/j.jmat.2020.11.008 ↗
25. 10.1002/pssa.20160053410.1002/pssa.201600534 ↗
26. 10.1016/j.jallcom.2022.16799310.1016/j.jallcom.2022.167993 ↗
27. 10.1021/acs.jpclett.1c0109410.1021/acs.jpclett.1c01094 ↗
28. 10.1002/solr.20200039110.1002/solr.202000391 ↗
29. 10.1016/j.solmat.2017.10.01110.1016/j.solmat.2017.10.011 ↗
30. 10.1021/acsami.9b0894610.1021/acsami.9b08946 ↗
31. 10.1016/j.cej.2023.14134810.1016/j.cej.2023.141348 ↗
32. 10.1021/acsami.0c1056110.1021/acsami.0c10561 ↗
33. 10.1002/solr.20230071110.1002/solr.202300711 ↗
34. 10.1016/j.solener.2023.11184710.1016/j.solener.2023.111847 ↗
35. 10.1021/acsaem.2c0224310.1021/acsaem.2c02243 ↗
36. 10.1063/1.352288410.1063/1.3522884 ↗
37. 10.1002/pip.51810.1002/pip.518 ↗
38. 10.1063/1.37190310.1063/1.371903 ↗
39. 10.1021/acsami.0c1879910.1021/acsami.0c18799 ↗
40. 10.1016/j.solener.2020.02.03310.1016/j.solener.2020.02.033 ↗
41. 10.1002/pip.117410.1002/pip.1174 ↗
42. 10.1002/pip.274110.1002/pip.2741 ↗
43. 10.1016/j.jechem.2022.08.03110.1016/j.jechem.2022.08.031 ↗
44. 10.1021/acsami.1c1105310.1021/acsami.1c11053 ↗
45. 10.1002/smll.20230063410.1002/smll.202300634 ↗
46. 10.1016/j.solmat.2018.03.02910.1016/j.solmat.2018.03.029 ↗
47. 10.1021/acsami.1c0009610.1021/acsami.1c00096 ↗
48. 10.1021/acs.jpcc.5b0319310.1021/acs.jpcc.5b03193 ↗
49. 10.1002/solr.20210086210.1002/solr.202100862 ↗
50. 10.1002/aenm.20150238610.1002/aenm.201502386 ↗
51. 10.1021/acsami.2c1808210.1021/acsami.2c18082 ↗
52. 10.1002/solr.20210103210.1002/solr.202101032 ↗
53. 10.1002/aenm.20150068210.1002/aenm.201500682 ↗