The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A Dual-Mode Triboelectric Nanogenerator for Wind Energy Harvesting and Self-Powered Wind Speed Monitoring
Abstract
The triboelectric nanogenerator shows a broad application potential in wind energy collection and wind speed sensing. However, it is difficult to realize wind energy collection and real-time wind speed monitoring in one simple device without external power support. Here, a high-performance dual-mode triboelectric nanogenerator is proposed to simultaneously collect wind energy efficiently and monitor wind speed in real time, which is composed by an alternating current triboelectric nanogenerator (AC-TENG) and a direct-current triboelectric nanogenerator (DC-TENG). Based on the material optimization, the charge density of the AC-TENG improves by a factor of 1 compared with previous works. Moreover, benefiting from the elastic structure and material optimization to realize a low friction force, the AC-TENG shows an excellent durability and obtains a retention of 87% electric output after 1 200 000 operation cycles. Meanwhile, thanks to the high charge density and low friction force, the energy-harvesting efficiency of the AC-TENG is doubled. In addition, the DC-TENG not only displays an excellent real-time sensing performance but also can provide gale warning. Our finding exhibits a strategy for efficiently collecting wind energy and achieving fully self-powered and real-time wind speed monitoring.
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Cites
Opportunities and challenges for a sustainable energy future
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Self-citationA review of wind energy technologies
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Self-citationA highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids
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Self-citationSustainably powering wearable electronics solely by biomechanical energy
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Self-citationIntegrated charge excitation triboelectric nanogenerator
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Self-citationPublic perceptions of and responses to new energy technologies
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Entropy theory of distributed energy for internet of things
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Cited by
Pang, Y., He, T., Liu, S., Zhu, X., & Lee, C. (2024) · Advanced Science · doi:10.1002/advs.202306574 · Cited by 60
Metadata
- Authors
- He, L., Zhang, C., Zhang, B., Yang, O., Yuan, W., Zhou, L., Zhao, Z., Wu, Z., Wang, J., & Wang, Z. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-03-21
- Volume
- 16
- Issue
- 4
- Pages
- 6244-6254
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4221090639
- Cited by
- 283
- References
- 36
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- He, L., Zhang, C., Zhang, B., Yang, O., Yuan, W., Zhou, L., Zhao, Z., Wu, Z., Wang, J., & Wang, Z. L. (2022). A Dual-Mode Triboelectric Nanogenerator for Wind Energy Harvesting and Self-Powered Wind Speed Monitoring. ACS Nano. https://doi.org/10.1021/acsnano.1c11658
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