The DOI matches its Crossref record.
Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics
Abstract
Vibration is one of the most common energy sources in ambient environment. Harvesting vibration energy is a promising route to sustainably drive small electronics. This work introduces an approach to scavenge vibrational energy over a wide frequency range as an exclusive power source for continuous operation of electronics. An elastic multiunit triboelectric nanogenerator (TENG) is rationally designed to efficiently harvest low-frequency vibration energy, which can provide a maximum instantaneous output power density of 102 W·m –3 at as low as 7 Hz and maintain its stable current outputs from 5 to 25 Hz. A self-charging power unit (SCPU) combining the TENG and a 10 mF supercapacitor gives a continuous direct current (DC) power delivery of 1.14 mW at a power management efficiency of 45.6% at 20 Hz. The performance of the SCPU can be further enhanced by a specially designed power management circuit, with a continuous DC power of 2 mW and power management efficiency of 60% at 7 Hz. Electronics such as a thermometer, hygrometer, and speedometer can be sustainably powered solely by the harvested vibration energy from a machine or riding bicycle. This approach has potential applications in self-powered systems for environment monitoring, machine safety, and transportation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator
Chen, J., & Wang, Z. L. (2017) · Joule · doi:10.1016/j.joule.2017.09.004 · Cited by 1,021
Self-citationSmart Textiles for Electricity Generation
Chen, G., Li, Y., Bick, M., & Chen, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00821 · Cited by 931
Dong, K., Deng, J., Zi, Y., Wang, Y., Xu, C., Zou, H., Ding, W., Dai, Y., Gu, B., Sun, B., et al. (2017) · Advanced Materials · doi:10.1002/adma.201702648 · Cited by 432
Self-citationApplications of nanotechnology in smart textile industry: A critical review
Shah, M. A., Pirzada, B. M., Price, G., Shibiru, A. L., & Qurashi, A. (2022) · Journal of Advanced Research · doi:10.1016/j.jare.2022.01.008 · Cited by 412
All Paper-Based Flexible and Wearable Piezoresistive Pressure Sensor
Gao, L., Zhu, C., Li, L., Zhang, C., Liu, J., Yu, H.-D., & Huang, W. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b07465 · Cited by 365
Metadata
- Authors
- Wang, X., Niu, S., Yi, F., Yin, Y., Hao, C., Dai, K., Zhang, Y., You, Z., & Wang, Z. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-01-17
- Volume
- 11
- Issue
- 2
- Pages
- 1728-1735
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2572240942
- Cited by
- 209
- References
- 0
- FWCI
- 11.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics. https://app.cochat.ai/papers/10.1021/acsnano.6b07633
- The paper
- Wang, X., Niu, S., Yi, F., Yin, Y., Hao, C., Dai, K., Zhang, Y., You, Z., & Wang, Z. L. (2017). Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics. ACS Nano. https://doi.org/10.1021/acsnano.6b07633
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.