Long Cycle Life Rechargeable Moisture‐Enabled Electricity Cell
Source abstract
Abstract
Abstract Moisture‐enabled electricity generation (MEG) is a prominent renewable energy harvesting technology in hydrovoltaic power generation, boasting the broadest energy harvesting spectrum. However, practical application faces limitations due to irreversible performance degradation caused by structural changes and moisture‐generated carrier (MGC) losses in Moisture‐enabled electricity (ME) materials, rendering them non‐renewable. This study introduces a rechargeable moisture‐enabled electricity cell (rMEC) based on dual ME functional layers and active metal electrodes. The rMEC demonstrates outstanding power generation performance, with a single cell providing an output voltage of 1.08 V and a power density of 5.83 µW cm−2 through redox assistance. Moreover, it can be recharged when MGCs are lost, utilizing the reversibility of the redox reaction (moisture of H2O2 solution) for self‐repair. Notebly, the rMEC maintains stable operation for over 2080 h and undergoes 100 charging/working cycles, marking the longest span life record in MEG research history. When exposed to industrial wastewater/gases with oxidation characteristics, the rMEC not only completes charging but also facilitates the reuse of toxic waste resources. The environmentally friendly rMEC, with its long cycle life, significantly overcomes the limitations of non‐renewable ME materials, serving as a paradigm for promoting iterative upgrades in MEG technology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Solar-Powered Water Purification Methods · Energy Harvesting in Wireless Networks · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Cluster Science Ministry of Education of China Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials School of Chemistry and Chemical Engineering Beijing Institute of Technology Beijing 100081 P. R. China
Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing 314019 P. R. China
Tangshan Research Institute Beijing Institute of Technology Tangshan 063000 P. R. China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Beijing Municipality
References (54)
Show source-provided references
1. 10.1002/adma.20150186710.1002/adma.201501867 ↗
2. 10.1007/s40820-019-0355-010.1007/s40820-019-0355-0 ↗
3. 10.1038/nnano.2016.30010.1038/nnano.2016.300 ↗
4. 10.1038/ncomms458210.1038/ncomms4582 ↗
5. 10.1016/j.joule.2017.11.01110.1016/j.joule.2017.11.011 ↗
6. 10.1002/adma.20180570510.1002/adma.201805705 ↗
7. 10.1016/j.cej.2022.13592110.1016/j.cej.2022.135921 ↗
8. 10.1002/adfm.20190179810.1002/adfm.201901798 ↗
9. Xu T. · Environ Sci · 2019 · 12 · 972
10. 10.1016/j.nanoen.2023.10834810.1016/j.nanoen.2023.108348 ↗
11. 10.1016/j.nanoen.2022.10694210.1016/j.nanoen.2022.106942 ↗
12. 10.1038/s41565-021-00903-610.1038/s41565-021-00903-6 ↗
13. 10.1016/j.matt.2022.06.04510.1016/j.matt.2022.06.045 ↗
14. 10.1038/s41467-022-30156-310.1038/s41467-022-30156-3 ↗
15. 10.1002/advs.20230381510.1002/advs.202303815 ↗
16. 10.1021/acsami.0c1793110.1021/acsami.0c17931 ↗
17. 10.1016/j.nanoen.2018.09.04310.1016/j.nanoen.2018.09.043 ↗
18. Duan Z. · Chem. Eng. J. · 2022 · 10 · 446
19. 10.1073/pnas.202316411810.1073/pnas.2023164118 ↗
20. 10.1016/j.jnoncrysol.2018.09.03310.1016/j.jnoncrysol.2018.09.033 ↗
21. 10.1016/j.colsurfa.2017.05.04310.1016/j.colsurfa.2017.05.043 ↗
22. Zhang F. · Adv. Mater. · 2023 · 6 · 35
23. Zhang Y. · Adv. Mater. · 2023 · 3 · 3445
24. 10.1021/acsnano.2c1074710.1021/acsnano.2c10747 ↗
25. 10.1016/j.nanoen.2022.10789010.1016/j.nanoen.2022.107890 ↗
26. 10.1038/s41467-022-31067-z10.1038/s41467-022-31067-z ↗
27. Deng W. · Environ Sci · 2023 · 16 · 4442
28. He N. · Environ Sci · 2023 · 16 · 2494
29. 10.1016/j.joule.2023.04.00710.1016/j.joule.2023.04.007 ↗
30. 10.1016/j.nanoen.2022.10789210.1016/j.nanoen.2022.107892 ↗
31. 10.1016/j.colcom.2021.10038910.1016/j.colcom.2021.100389 ↗
32. 10.1093/jmicro/dfab04010.1093/jmicro/dfab040 ↗
33. 10.1080/02603594.2021.193800710.1080/02603594.2021.1938007 ↗
34. 10.1016/j.catcom.2023.10662610.1016/j.catcom.2023.106626 ↗
35. 10.1002/adma.20230074810.1002/adma.202300748 ↗
36. 10.1002/adfm.20221131610.1002/adfm.202211316 ↗
37. Bai J. · Environ Sci · 2023 · 16 · 3088
38. 10.1002/adma.20210389710.1002/adma.202103897 ↗
39. Bai J. · Environ Sci · 2022 · 15 · 3086
40. 10.1039/D1MH00565K10.1039/D1MH00565K ↗
41. 10.1002/advs.20230381510.1002/advs.202303815 ↗
42. Moreira K. S. · Environ Sci · 2021 · 14 · 353
43. 10.1016/j.nanoen.2021.10660510.1016/j.nanoen.2021.106605 ↗
44. Huang Y. · Environ Sci · 2019 · 12 · 1848
45. Lv D. · Environ Sci · 2022 · 15 · 2601
46. 10.1002/adma.20220069310.1002/adma.202200693 ↗
47. 10.1002/adma.20230039810.1002/adma.202300398 ↗
48. 10.1002/aenm.20220409510.1002/aenm.202204095 ↗
49. 10.1038/s41467-022-31221-710.1038/s41467-022-31221-7 ↗
50. Zhang Y. · Adv. Mater. · 2022 · 34
51. 10.1038/s41467-022-32105-610.1038/s41467-022-32105-6 ↗
52. 10.1038/s41586-020-2010-910.1038/s41586-020-2010-9 ↗
53. 10.1016/j.nanoen.2019.10436410.1016/j.nanoen.2019.104364 ↗
54. Sun Z. · Environ Sci · 2022 · 15 · 4584