journal article·2024-12-13

Local Performance Analysis of Perovskite Solar Cells: Implications and Perspectives

Zexin Yu, Chunlei Zhang, Bo Li, Xin Wu, Xintong Li, Danpeng Gao, Zonglong Zhu

ACS Energy Letters· Volume 9· Issue 12
Publisher page

Abstract

Perovskite solar cells (PSCs) have emerged as a leading photovoltaic technology due to their high efficiency and cost-effectiveness, yet long-term stability and consistent performance remain challenges. This perspective discusses how local structural properties, such as grain boundaries and intragrain defects, and optoelectronic properties, including charge transfer and recombination processes, affect PSC performance, emphasizing the role of advanced imaging and mapping techniques in characterizing these properties. Additionally, the perspective extends to the stability of perovskite materials and devices, exploring how imaging and mapping techniques reveal degradation caused by environmental factors such as humidity, temperature, light, and electrical bias. Furthermore, this perspective also discusses the limitations of these local performance analyses, such as characterization scope, resolution, and sensitivity issues, as well as challenges in quantitative analysis. Understanding these constraints is essential for refining local performance analysis methods and advancing perovskite solar cell technology toward more reliable and efficient photovoltaic devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Chalcogenide Semiconductor Thin Films · Conducting polymers and applications

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

Affiliations

Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong SAR 999077, China

City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong 518057, China

Hong Kong Institute of Clean Energy, City University of Hong Kong; Kowloon, Hong Kong SAR 999077, China

Funding

Environment and Ecology Bureau · Research Grants Council, University Grants Committee · National Key Research and Development Program of China · Innovation and Technology Fund · Science, Technology and Innovation Commission of Shenzhen Municipality · National Natural Science Foundation of China

References (100+)

Show source-provided references
1. 10.1039/D2CS00217E10.1039/D2CS00217E ↗
2. 10.1126/science.adm947410.1126/science.adm9474 ↗
3. 10.1126/science.ade963710.1126/science.ade9637 ↗
4. 10.1038/s41560-023-01227-610.1038/s41560-023-01227-6 ↗
5. 10.1002/ange.20241281910.1002/ange.202412819 ↗
6. 10.1038/s41578-023-00582-w10.1038/s41578-023-00582-w ↗
7. 10.1021/jacs.4c0222010.1021/jacs.4c02220 ↗
8. 10.1038/s41467-024-47112-y10.1038/s41467-024-47112-y ↗
9. 10.1126/science.adq838510.1126/science.adq8385 ↗
10. 10.1002/aenm.20190316110.1002/aenm.201903161 ↗
11. 10.1002/aenm.20170225610.1002/aenm.201702256 ↗
12. 10.1039/D0TA00143K10.1039/D0TA00143K ↗
13. 10.1002/aenm.20170091210.1002/aenm.201700912 ↗
14. 10.1002/aenm.20230070010.1002/aenm.202300700 ↗
15. 10.1039/D3QM00236E10.1039/D3QM00236E ↗
16. 10.1002/aenm.20220050510.1002/aenm.202200505 ↗
17. 10.1021/acsenergylett.7b0042410.1021/acsenergylett.7b00424 ↗
18. 10.1002/adma.20221131710.1002/adma.202211317 ↗
19. 10.1038/s41565-021-01019-710.1038/s41565-021-01019-7 ↗
20. 10.1002/adma.20160062410.1002/adma.201600624 ↗
21. 10.1002/aenm.20190044410.1002/aenm.201900444 ↗
22. 10.1038/s41560-022-01096-510.1038/s41560-022-01096-5 ↗
23. 10.1021/acs.jpclett.5b0184310.1021/acs.jpclett.5b01843 ↗
24. 10.1002/solr.20220028010.1002/solr.202200280 ↗
25. 10.1002/aenm.20190317010.1002/aenm.201903170 ↗
26. 10.1016/j.scriptamat.2020.03.04410.1016/j.scriptamat.2020.03.044 ↗
27. 10.1126/sciadv.abo597710.1126/sciadv.abo5977 ↗
28. 10.1021/acsami.1c0853910.1021/acsami.1c08539 ↗
29. 10.1016/j.nanoen.2019.10396210.1016/j.nanoen.2019.103962 ↗
30. 10.1002/ange.20231410610.1002/ange.202314106 ↗
31. 10.1016/j.joule.2018.12.01110.1016/j.joule.2018.12.011 ↗
32. 10.1002/adfm.20240056910.1002/adfm.202400569 ↗
33. 10.1038/s41467-023-42999-510.1038/s41467-023-42999-5 ↗
34. 10.1107/S160057751601572110.1107/S1600577516015721 ↗
35. 10.1021/cr990070s10.1021/cr990070s ↗
36. 10.1002/aenm.20190317010.1002/aenm.201903170 ↗
37. 10.1109/JPHOTOV.2016.263380110.1109/JPHOTOV.2016.2633801 ↗
38. 10.1002/adfm.20170699510.1002/adfm.201706995 ↗
39. 10.1002/adma.20170345110.1002/adma.201703451 ↗
40. 10.1126/science.aah506510.1126/science.aah5065 ↗
41. 10.1021/acs.chemmater.6b0206510.1021/acs.chemmater.6b02065 ↗
42. 10.1002/aenm.20190392210.1002/aenm.201903922 ↗
43. 10.1002/adma.20080146610.1002/adma.200801466 ↗
44. 10.1002/adma.20230976810.1002/adma.202309768 ↗
45. 10.1038/srep0208810.1038/srep02088 ↗
46. 10.1039/C6EE00413J10.1039/C6EE00413J ↗
47. 10.1038/nenergy.2016.9310.1038/nenergy.2016.93 ↗
48. 10.1038/s41467-018-05076-w10.1038/s41467-018-05076-w ↗
49. Agostini G. · 2013
50. 10.1021/acs.jpclett.8b0282410.1021/acs.jpclett.8b02824 ↗
51. 10.1126/science.abm856610.1126/science.abm8566 ↗
52. 10.1021/acsami.6b0410410.1021/acsami.6b04104 ↗
53. 10.1021/acsaem.2c0343810.1021/acsaem.2c03438 ↗
54. 10.1021/acsenergylett.1c0193110.1021/acsenergylett.1c01931 ↗
55. 10.1007/s12274-019-2402-z10.1007/s12274-019-2402-z ↗
56. 10.1021/acsenergylett.6b0035510.1021/acsenergylett.6b00355 ↗
57. 10.1021/acs.jpclett.9b0387810.1021/acs.jpclett.9b03878 ↗
58. 10.1039/C8TC05998E10.1039/C8TC05998E ↗
59. 10.1039/D0TC01441A10.1039/D0TC01441A ↗
60. 10.1002/adma.20230646610.1002/adma.202306466 ↗
61. 10.1016/j.joule.2020.06.00510.1016/j.joule.2020.06.005 ↗
62. 10.1002/aenm.20190378110.1002/aenm.201903781 ↗
63. 10.1039/C7SC03777E10.1039/C7SC03777E ↗
64. 10.1039/C3CS60374A10.1039/C3CS60374A ↗
65. 10.1021/jz500113x10.1021/jz500113x ↗
66. 10.1021/acs.nanolett.5b0355610.1021/acs.nanolett.5b03556 ↗
67. 10.3390/molecules2204052010.3390/molecules22040520 ↗
68. 10.1021/acs.chemrev.2c0038210.1021/acs.chemrev.2c00382 ↗
69. 10.1002/aenm.20200175310.1002/aenm.202001753 ↗
70. 10.1126/science.abb594010.1126/science.abb5940 ↗
71. 10.1002/adma.20221120710.1002/adma.202211207 ↗
72. 10.1021/jacs.2c1371110.1021/jacs.2c13711 ↗
73. 10.1016/0379-6787(90)90040-C10.1016/0379-6787(90)90040-C ↗
74. 10.1038/s41467-020-17012-y10.1038/s41467-020-17012-y ↗
75. 10.1016/j.matt.2021.02.02010.1016/j.matt.2021.02.020 ↗
76. 10.1016/j.joule.2019.09.00110.1016/j.joule.2019.09.001 ↗
77. 10.1021/jacs.1c1223510.1021/jacs.1c12235 ↗
78. 10.1038/s41467-024-46588-y10.1038/s41467-024-46588-y ↗
79. 10.1038/s41560-021-00830-910.1038/s41560-021-00830-9 ↗
80. 10.1039/C7EE00420F10.1039/C7EE00420F ↗
81. 10.1038/s41467-020-16075-110.1038/s41467-020-16075-1 ↗
82. 10.1039/C9EE00884E10.1039/C9EE00884E ↗
83. 10.1021/acs.jpcc.5b1146910.1021/acs.jpcc.5b11469 ↗
84. 10.1021/acsenergylett.6b0023610.1021/acsenergylett.6b00236 ↗
85. 10.1016/j.joule.2017.08.00610.1016/j.joule.2017.08.006 ↗
86. 10.1021/acs.jpclett.6b0071510.1021/acs.jpclett.6b00715 ↗
87. 10.1021/acsnano.7b0624210.1021/acsnano.7b06242 ↗
88. 10.1126/science.aaa533310.1126/science.aaa5333 ↗
89. 10.1126/sciadv.abq834510.1126/sciadv.abq8345 ↗
90. 10.1021/acs.nanolett.7b0407810.1021/acs.nanolett.7b04078 ↗
91. 10.1038/nenergy.2016.14910.1038/nenergy.2016.149 ↗
92. 10.1021/acsaem.9b0233610.1021/acsaem.9b02336 ↗
93. 10.1038/s41566-023-01180-610.1038/s41566-023-01180-6 ↗
94. 10.1016/j.chempr.2023.09.00210.1016/j.chempr.2023.09.002 ↗
95. 10.1007/s12274-022-4524-y10.1007/s12274-022-4524-y ↗
96. 10.1002/aenm.20160084610.1002/aenm.201600846 ↗
97. 10.1002/adfm.20170536310.1002/adfm.201705363 ↗
98. 10.1002/cssc.20160091510.1002/cssc.201600915 ↗
99. 10.1016/j.joule.2017.08.00510.1016/j.joule.2017.08.005 ↗
100. 10.1002/adom.20210182210.1002/adom.202101822 ↗