Facile Strategy for Reducing Cell-to-Module Efficiency Gap in Organic Solar Cells by Controlling the Preaggregation of Photoactive Solutions
Source abstract
Abstract
Organic solar cells (OSCs) have recently achieved efficiencies of >20% in single-junction unit cells owing to rapid advancements in materials and device technologies. Large-area OSCs face several challenges that adversely affect their efficiency compared to small unit cells. These challenges include increased resistance loads derived from their larger dimensions, as well as limitations related to morphology, miscibility, and crystallinity. In this study, a preaggregation control technique was employed to develop efficient OSC modules. This was achieved by incorporating a low-concentration D18 solution into a high-performance donor–acceptor combination of PM6 and L8-BO facilitating optimal chain entanglement. As a result, macroscopically clean films and microscopically phase-separated morphologies were obtained. For devices with a small area of 0.04 cm 2, the device incorporating D18 exhibited a marginally higher power conversion efficiency (PCE) of 17.82% compared to 17.32% for the device without D18. For devices with significantly larger areas of 4.725 and 30.24 cm 2, the PCEs increased significantly with the introduction of D18, rising from 14.85 to 15.31% and from 12.77 to 13.49%, respectively. In particular, the module with the largest area of 30.24 cm 2 demonstrated a significant decrease in load resistance, leading to a substantial reduction in the cell-to-module efficiency gap, which decreased from 26.3 to 24.3%.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Organic Electronics and Photovoltaics · Conducting polymers and applications · Thin-Film Transistor Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
Funding
Commercializations Promotion Agency for R and D Outcomes · Ministry of Knowledge Economy · Konkuk University
References (66)
Show source-provided references
1. 10.1007/s11426-021-1180-610.1007/s11426-021-1180-6 ↗
2. 10.1002/adma.20130437310.1002/adma.201304373 ↗
3. 10.1021/jacs.4c0150310.1021/jacs.4c01503 ↗
4. 10.1016/j.nanoen.2023.10922610.1016/j.nanoen.2023.109226 ↗
5. 10.1002/adma.20230158310.1002/adma.202301583 ↗
6. 10.1038/s41563-022-01244-y10.1038/s41563-022-01244-y ↗
7. 10.1039/D4EE00605D10.1039/D4EE00605D ↗
8. 10.1016/j.joule.2023.12.00910.1016/j.joule.2023.12.009 ↗
9. 10.1016/j.solmat.2013.01.00610.1016/j.solmat.2013.01.006 ↗
10. 10.1021/acsami.9b1252210.1021/acsami.9b12522 ↗
11. 10.1002/adma.20220903010.1002/adma.202209030 ↗
12. 10.1002/adma.20190364910.1002/adma.201903649 ↗
13. 10.1016/j.joule.2024.02.01610.1016/j.joule.2024.02.016 ↗
14. 10.1002/adfm.20220201110.1002/adfm.202202011 ↗
15. 10.1021/acsami.2c1741810.1021/acsami.2c17418 ↗
16. 10.1016/j.joule.2019.12.00410.1016/j.joule.2019.12.004 ↗
17. 10.1016/j.nanoen.2020.10514710.1016/j.nanoen.2020.105147 ↗
18. 10.1039/D2EE03966D10.1039/D2EE03966D ↗
19. 10.1002/adma.20240235010.1002/adma.202402350 ↗
20. 10.1016/j.xcrp.2024.10188310.1016/j.xcrp.2024.101883 ↗
21. 10.1039/D4EE00680A10.1039/D4EE00680A ↗
22. 10.1002/aenm.20220002310.1002/aenm.202200023 ↗
23. 10.1002/admt.20190004010.1002/admt.201900040 ↗
24. 10.1109/JEDS.2019.294968510.1109/JEDS.2019.2949685 ↗
25. 10.1109/NUSOD.2010.559566410.1109/NUSOD.2010.5595664 ↗
26. 10.1039/C6TA00126B10.1039/C6TA00126B ↗
27. 10.1039/D3TA08029C10.1039/D3TA08029C ↗
28. 10.3390/polym1611159010.3390/polym16111590 ↗
29. 10.1039/D0EE00774A10.1039/D0EE00774A ↗
30. 10.1039/C6EE01623E10.1039/C6EE01623E ↗
31. 10.1039/D4CP03206C10.1039/D4CP03206C ↗
32. 10.1016/j.joule.2022.07.01410.1016/j.joule.2022.07.014 ↗
33. 10.1039/C9EE04020J10.1039/C9EE04020J ↗
34. 10.1364/PRJ.41622910.1364/PRJ.416229 ↗
35. 10.1016/j.matt.2021.12.00210.1016/j.matt.2021.12.002 ↗
36. 10.1021/acsami.4c0886810.1021/acsami.4c08868 ↗
37. 10.1039/D2TA04800K10.1039/D2TA04800K ↗
38. 10.1039/C9SE00343F10.1039/C9SE00343F ↗
39. 10.1002/aenm.20170314710.1002/aenm.201703147 ↗
40. 10.1039/D1EE02320A10.1039/D1EE02320A ↗
41. 10.1016/j.matt.2022.03.01210.1016/j.matt.2022.03.012 ↗
42. 10.1002/ange.20231442010.1002/ange.202314420 ↗
43. 10.1002/solr.20210017510.1002/solr.202100175 ↗
44. 10.1063/1.494239410.1063/1.4942394 ↗
45. 10.1021/acsami.7b1524010.1021/acsami.7b15240 ↗
46. 10.1103/PhysRevLett.94.12660210.1103/PhysRevLett.94.126602 ↗
47. 10.1039/C7EE00619E10.1039/C7EE00619E ↗
48. 10.1002/smll.20240082610.1002/smll.202400826 ↗
49. 10.1002/aenm.20170285410.1002/aenm.201702854 ↗
50. 10.1002/anie.20240492110.1002/anie.202404921 ↗
51. 10.1063/1.213039610.1063/1.2130396 ↗
52. 10.1002/adma.20230535610.1002/adma.202305356 ↗
53. 10.1007/s11051-022-05568-310.1007/s11051-022-05568-3 ↗
54. 10.1039/D4CP03206C10.1039/D4CP03206C ↗
55. 10.1039/D4CP03492A10.1039/D4CP03492A ↗
56. 10.1038/nphoton.2009.6910.1038/nphoton.2009.69 ↗
57. 10.1002/polc.507034010510.1002/polc.5070340105 ↗
58. 10.1016/j.joule.2022.12.00710.1016/j.joule.2022.12.007 ↗
59. 10.1039/D2EE03483B10.1039/D2EE03483B ↗
60. 10.1002/admi.20160040310.1002/admi.201600403 ↗
61. 10.1002/adfm.20221509510.1002/adfm.202215095 ↗
62. 10.1002/adfm.20210241310.1002/adfm.202102413 ↗
63. 10.1002/solr.20210000710.1002/solr.202100007 ↗
64. 10.1021/acsaem.0c0021810.1021/acsaem.0c00218 ↗
65. 10.1021/acs.chemmater.2c0214110.1021/acs.chemmater.2c02141 ↗
66. 10.1002/adma.20220899710.1002/adma.202208997 ↗