The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Scavenging Wind Energy by Triboelectric Nanogenerators
Abstract
To meet future needs for clean and sustainable energy, tremendous progress has been achieved in development for scavenging wind energy. The most classical approach is to use the electromagnetic effect based wind turbine with a diameter of larger than 50 m and a weight of larger than 50 ton, and each of them could cost more than $0.5 M, which can only be installed in remote areas. Alternatively, triboelectric nanogenerators based on coupling of contact‐electrification and electrostatic induction effects have been utilized to scavenge wind energy, which takes the advantages of high voltage, low cost, and small size. Here, the development of a wind‐driven triboelectric nanogenerator by focusing on triboelectric materials optimization, structure improvement, and hybridization with other types of energy harvesting techniques is reviewed. Moreover, the major applications are summarized and the challenges that are needed to be addressed and development direction for scavenging wind energy in future are highlighted.
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Cites
Opportunities and challenges for a sustainable energy future
Chu, S., & Majumdar, A. (2012) · Nature · doi:10.1038/nature11475 · Cited by 12,550
Progress 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-citationA wearable and highly sensitive pressure sensor with ultrathin gold nanowires
Gong, S., Schwalb, W., Wang, Y., Chen, Y., Tang, Y., Si, J., Shirinzadeh, B., & Cheng, W. (2014) · Nature Communications · doi:10.1038/ncomms4132 · Cited by 2,064
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Self-citationSocial and economic impacts of climate
Carleton, T. A., & Hsiang, S. M. (2016) · Science · doi:10.1126/science.aad9837 · Cited by 1,348
Sustainably 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
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Cited by
Safaei, M., Sodano, H. A., & Anton, S. R. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab36e4 · Cited by 874
Shi, Q., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201900617 · Cited by 174
Nie, J., Chen, X., & Wang, Z. L. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201806351 · Cited by 175
Self-citationA Soft Magnetoelastic Generator for Wind‐Energy Harvesting
Zhao, X., Nashalian, A., Ock, I. W., Popoli, S., Xu, J., Yin, J., Tat, T., Libanori, A., Chen, G., Zhou, Y., et al. (2022) · Advanced Materials · doi:10.1002/adma.202204238 · Cited by 109
Recent Advances in Artificial Intelligence Sensors
Zhang, Z., Wang, L., & Lee, C. (2023) · Advanced Sensor Research · doi:10.1002/adsr.202200072 · Cited by 107
Metadata
- Authors
- Chen, B., Yang, Y., & Wang, Z. L.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2018-01-09
- Volume
- 8
- Issue
- 10
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2783793077
- Cited by
- 493
- References
- 6
- FWCI
- 19.35
- Type
- journal article
- Language
- en
- Open access
- closed
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