A Dual-Mode Triboelectric Nanogenerator for Wind Energy Harvesting and Self-Powered Wind Speed Monitoring
Chinese Academy of Sciences · Beijing Institute of Nanoenergy and Nanosystems · +2 more institutions
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…
Citation impact
- FWCI
- 20.59
- Percentile
- 100%
- References
- 42
Authors
10- LHLixia He
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- CZChuguo Zhang
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- BZBaofeng Zhang
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- YOYang Ou
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- WYWei Yuan
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
Topics & keywords
- Triboelectric effect
- Nanogenerator
- Wind speed
- Wind power
- Mechanical energy
- Materials science
- Energy harvesting
- Electrical engineering
- Affordable and clean energy
Funding
- NNNational Natural Science Foundation of ChinaAwards: 61774016, 22109013, 21773009
- MOMinistry of Science and Technology of the People's Republic of ChinaAward: 2021YFA1201602
- BMBeijing Municipal Science and Technology CommissionAwards: Z171100002017017, Z171100000317001, Y3993113DF
- CUCentral University Basic Research Fund of ChinaAward: E1E46802