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Self-Powered Wind Sensor System for Detecting Wind Speed and Direction Based on a Triboelectric Nanogenerator
Abstract
The development of the Internet of Things has brought new challenges to the corresponding distributed sensor systems. Self-powered sensors that can perceive and respond to environmental stimuli without an external power supply are highly desirable. In this paper, a self-powered wind sensor system based on an anemometer triboelectric nanogenerator (a-TENG, free-standing mode) and a wind vane triboelectric nanogenerator (v-TENG, single-electrode mode) is proposed for simultaneously detecting wind speed and direction. A soft friction mode is adopted instead of a typical rigid friction for largely enhancing the output performance of the TENG. The design parameters including size, unit central angle, and applied materials are optimized to enhance sensitivity, resolution, and wide measurement scale. The optimized a-TENG could deliver an open-circuit voltage of 88 V and short-circuit current of 6.3 μA, corresponding to a maximum power output of 0.47 mW (wind speed of 6.0 m/s), which is capable of driving electronics for data transmission and storage. The current peak value of the a-TENG signal is used for analyzing wind speed for less energy consumption. Moreover, the output characteristics of a v-TENG are further explored, with six actual operation situations, and the v-TENG delivers fast response to the incoming wind and accurately outputs the wind direction data. As a wind sensor system, wind speed ranging from 2.7 to 8.0 m/s can be well detected (consistent with a commercial sensor) and eight regular directions can be monitored. Therefore, the fabricated wind sensor system has great potential in wireless environmental monitoring applications.
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Cites
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Self-citationProgress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationOn Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationTheoretical study of contact-mode triboelectric nanogenerators as an effective power source
Niu, S., Wang, S., Lin, L., Liu, Y., Zhou, Y. S., Hu, Y., & Wang, Z. L. (2013) · Energy & Environmental Science · doi:10.1039/c3ee42571a · Cited by 1,956
Self-citationToward the blue energy dream by triboelectric nanogenerator networks
Wang, Z. L., Jiang, T., & Xu, L. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.06.035 · Cited by 1,249
Self-citationWang, S., Xie, Y., Niu, S., Lin, L., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201305303 · Cited by 1,001
Self-citationTriboelectric nanogenerators as self-powered active sensors
Wang, S., Lin, L., & Wang, Z. L. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.10.034 · Cited by 942
Self-citationRadial-arrayed rotary electrification for high performance triboelectric generator
Zhu, G., Chen, J., Zhang, T., Jing, Q., & Wang, Z. L. (2014) · Nature Communications · doi:10.1038/ncomms4426 · Cited by 868
Self-citationZi, Y., Guo, H., Wen, Z., Yeh, M.-H., Hu, C., & Wang, Z. L. (2016) · ACS Nano · doi:10.1021/acsnano.6b01569 · Cited by 827
Self-citationTriboelectric nanogenerators as a new energy technology: From fundamentals, devices, to applications
Zhu, G., Peng, B., Chen, J., Jing, Q., & Lin Wang, Z. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.11.050 · Cited by 763
Catch wave power in floating nets
Wang, Z. L. (2017) · Nature · doi:10.1038/542159a · Cited by 708
Self-citationWang, S., Xie, Y., Niu, S., Lin, L., Liu, C., Zhou, Y. S., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201402491 · Cited by 679
Self-citationSustainably powering wearable electronics solely by biomechanical energy
Wang, J., Li, S., Yi, F., Zi, Y., Lin, J., Wang, X., Xu, Y., & Wang, Z. L. (2016) · Nature Communications · doi:10.1038/ncomms12744 · Cited by 648
Self-citationTriboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
Yang, Y., Zhu, G., Zhang, H., Chen, J., Zhong, X., Lin, Z.-H., Su, Y., Bai, P., Wen, X., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn4043157 · Cited by 648
Self-citationYang, Y., Zhang, H., Chen, J., Jing, Q., Zhou, Y. S., Wen, X., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn403021m · Cited by 635
Self-citationChen, J., Yang, J., Li, Z., Fan, X., Zi, Y., Jing, Q., Guo, H., Wen, Z., Pradel, K. C., Niu, S., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b00534 · Cited by 632
Self-citationWang, X., Niu, S., Yin, Y., Yi, F., You, Z., & Wang, Z. L. (2015) · Advanced Energy Materials · doi:10.1002/aenm.201501467 · Cited by 504
Self-citationFlutter-driven triboelectrification for harvesting wind energy
Bae, J., Lee, J., Kim, S., Ha, J., Lee, B.-S., Park, Y., Choong, C., Kim, J.-B., Wang, Z. L., Kim, H.-Y., et al. (2014) · Nature Communications · doi:10.1038/ncomms5929 · Cited by 426
Self-citationRotary Triboelectric Nanogenerator Based on a Hybridized Mechanism for Harvesting Wind Energy
Xie, Y., Wang, S., Lin, L., Jing, Q., Lin, Z.-H., Niu, S., Wu, Z., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn402477h · Cited by 396
Self-citationMultifunctional TENG for Blue Energy Scavenging and Self‐Powered Wind‐Speed Sensor
Xi, Y., Guo, H., Zi, Y., Li, X., Wang, J., Deng, J., Li, S., Hu, C., Cao, X., & Wang, Z. L. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201602397 · Cited by 357
Self-citationZhu, G., Bai, P., Chen, J., & Lin Wang, Z. (2013) · Nano Energy · doi:10.1016/j.nanoen.2013.08.002 · Cited by 335
Zhao, Z., Pu, X., Du, C., Li, L., Jiang, C., Hu, W., & Wang, Z. L. (2016) · ACS Nano · doi:10.1021/acsnano.5b07157 · Cited by 326
Self-citationSu, Y., Wen, X., Zhu, G., Yang, J., Chen, J., Bai, P., Wu, Z., Jiang, Y., & Lin Wang, Z. (2014) · Nano Energy · doi:10.1016/j.nanoen.2014.07.006 · Cited by 301
Nanostructured transition metal oxides as advanced anodes for lithium-ion batteries
Zhang, J., & Yu, A. (2015) · Science Bulletin · doi:10.1007/s11434-015-0771-6 · Cited by 283
Self-powered cleaning of air pollution by wind driven triboelectric nanogenerator
Chen, S., Gao, C., Tang, W., Zhu, H., Han, Y., Jiang, Q., Li, T., Cao, X., & Wang, Z. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.12.013 · Cited by 259
Self-citationTriboelectric nanogenerator built inside clothes for self-powered glucose biosensors
Zhang, H., Yang, Y., Hou, T.-C., Su, Y., Hu, C., & Wang, Z. L. (2013) · Nano Energy · doi:10.1016/j.nanoen.2013.03.024 · Cited by 232
Self-citationHigh performance triboelectric nanogenerators based on large-scale mass-fabrication technologies
Zhang, X.-S., Han, M.-D., Meng, B., & Zhang, H.-X. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.11.012 · Cited by 223
Nanogenerators: An emerging technology towards nanoenergy
Zi, Y., & Wang, Z. L. (2017) · APL Materials · doi:10.1063/1.4977208 · Cited by 222
Self-citationTheoretical Study of Rotary Freestanding Triboelectric Nanogenerators
Jiang, T., Chen, X., Han, C. B., Tang, W., & Wang, Z. L. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201500447 · Cited by 212
Self-citationVertically stacked thin triboelectric nanogenerator for wind energy harvesting
Seol, M.-L., Woo, J.-H., Jeon, S.-B., Kim, D., Park, S.-J., Hur, J., & Choi, Y.-K. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.11.016 · Cited by 203
Wu, C., Liu, R., Wang, J., Zi, Y., Lin, L., & Wang, Z. L. (2017) · Nano Energy · doi:10.1016/j.nanoen.2016.12.061 · Cited by 200
Self-citationWang, X., Wang, Z. L., & Yang, Y. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.05.032 · Cited by 197
Self-citationSingle-electrode triboelectric nanogenerator for scavenging friction energy from rolling tires
Mao, Y., Geng, D., Liang, E., & Wang, X. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.04.026 · Cited by 196
Liquid-FEP-based U-tube triboelectric nanogenerator for harvesting water-wave energy
Pan, L., Wang, J., Wang, P., Gao, R., Wang, Y.-C., Zhang, X., Zou, J.-J., & Wang, Z. L. (2018) · Nano Research · doi:10.1007/s12274-018-1989-9 · Cited by 195
Self-citationMultilayer wavy-structured robust triboelectric nanogenerator for harvesting water wave energy
Zhang, L. M., Han, C. B., Jiang, T., Zhou, T., Li, X. H., Zhang, C., & Wang, Z. L. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.01.009 · Cited by 186
Self-citationZhong, X., Yang, Y., Wang, X., & Wang, Z. L. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.03.012 · Cited by 173
Self-citationLi, S., Wang, S., Zi, Y., Wen, Z., Lin, L., Zhang, G., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/acsnano.5b02575 · Cited by 123
Self-citationSurface charge self-recovering electret film for wearable energy conversion in a harsh environment
Zhong, J., Zhong, Q., Chen, G., Hu, B., Zhao, S., Li, X., Wu, N., Li, W., Yu, H., & Zhou, J. (2016) · Energy & Environmental Science · doi:10.1039/c6ee02135b · Cited by 122
Self-citationMulti-layered disk triboelectric nanogenerator for harvesting hydropower
Xie, Y., Wang, S., Niu, S., Lin, L., Jing, Q., Su, Y., Wu, Z., & Wang, Z. L. (2014) · Nano Energy · doi:10.1016/j.nanoen.2014.03.015 · Cited by 112
Self-citationRecent progress in solid-state electrolytes for alkali-ion batteries
Jiang, C., Li, H., & Wang, C. (2017) · 中国科学通报：英文版 · doi:10.1016/j.scib.2017.10.011 · Cited by 112
Zheng, Q., Jin, Y., Liu, Z., Ouyang, H., Li, H., Shi, B., Jiang, W., Zhang, H., Li, Z., & Wang, Z. L. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b06866 · Cited by 104
Self-citationStack/flutter-driven self-retracting triboelectric nanogenerator for portable electronics
Moon, H., Chung, J., Kim, B., Yong, H., Kim, T., Lee, S., Lee, S., Lee, S., & Lee, S. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.11.046 · Cited by 42
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Zhang, R., & Olin, H. (2020) · EcoMat · doi:10.1002/eom2.12062 · Cited by 533
Wang, P., Pan, L., Wang, J., Xu, M., Dai, G., Zou, H., Dong, K., & Wang, Z. L. (2018) · ACS Nano · doi:10.1021/acsnano.8b04654 · Cited by 382
Self-citationTriboelectric Nanogenerator‐Based Sensor Systems for Chemical or Biological Detection
Zhou, Q., Pan, J., Deng, S., Xia, F., & Kim, T. (2021) · Advanced Materials · doi:10.1002/adma.202008276 · Cited by 259
Wang, Y., Pham, A. T. T., Han, X., Du, D., & Tang, Y. (2022) · Nano Energy · doi:10.1016/j.nanoen.2021.106844 · Cited by 28
Metadata
- Authors
- Wang, J., Ding, W., Pan, L., Wu, C., Yu, H., Yang, L., Liao, R., & Wang, Z. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-03-29
- Volume
- 12
- Issue
- 4
- Pages
- 3954-3963
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2794681304
- Cited by
- 312
- References
- 43
- FWCI
- 10.85
- Type
- journal article
- Language
- en
- Open access
- closed
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