The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nature of Power Generation and Output Optimization Criteria for Triboelectric Nanogenerators
Open accessAbstract
Triboelectric nanogenerators (TENGs) are in the forefront of next‐generation energy harvesting technologies, having been demonstrated as a leading candidate for numerous applications in energy harvesting and self‐powered sensing. However, critical parameters affecting TENG output behavior and their optimization are not well understood. Herein, for the first time, the power output characteristics of TENGs are fully unveiled by vigorously analyzing their impedance behavior as a function of excitation source and device parameters. In this paper, Norton's theorem, first presented in 1926 for two terminal linear electrical networks, is extended to represent TENGs, allowing accurate visualization of their dynamic power output behavior via small signal analysis. TENG impedance plots are introduced to accurately determine the peak power point of a given design, which holds paramount importance in understanding and improving TENGs. The knowledge with empirical understanding for these variations results in the design and construction of more efficient TENG devices for future applications.
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Cites
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
Wang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Highly efficient and bending durable perovskite solar cells: toward a wearable power source
Kim, B. J., Kim, D. H., Lee, Y.-Y., Shin, H.-W., Han, G. S., Hong, J. S., Mahmood, K., Ahn, T. K., Joo, Y.-C., Hong, K. S., et al. (2015) · Energy & Environmental Science · doi:10.1039/c4ee02441a · Cited by 679
Cited by
Cheng, T., Shao, J., & Wang, Z. L. (2023) · Nature Reviews Methods Primers · doi:10.1038/s43586-023-00220-3 · Cited by 609
Giant magnetoelastic effect in soft systems for bioelectronics
Zhou, Y., Zhao, X., Xu, J., Fang, Y., Chen, G., Song, Y., Li, S., & Chen, J. (2021) · Nature Materials · doi:10.1038/s41563-021-01093-1 · Cited by 459
Laser-Induced Graphene Triboelectric Nanogenerators
Stanford, M. G., Li, J. T., Chyan, Y., Wang, Z., Wang, W., & Tour, J. M. (2019) · ACS Nano · doi:10.1021/acsnano.9b02596 · Cited by 316
Metadata
- Authors
- Dharmasena, R. D. I. G., Deane, J. H. B., & Silva, S. R. P.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2018-09-25
- Volume
- 8
- Issue
- 31
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2893831251
- Cited by
- 163
- References
- 3
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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