Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 341

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Super-robust and frequency-multiplied triboelectric nanogenerator for efficient harvesting water and wind energy

Lin, Zhiming, Zhang, Binbin, Guo, Hengyu, Wu, Zhiyi, Zou, Haiyang, Yang, Jin, Wang, Zhong Lin·2019·Nano Energy

Abstract

Abstract Mechanical energy in ambient, such as water wave, wind, vibration, and human activities, is a green energy that is widely distributed and universally achievable. However, this type of energy has ultra-low frequencies and variable amplitudes, so it is rather challenging to collect them at high efficiency. Here we report a pendulum inspired triboelectric nanogenerator (P-TENG), which could not only boost the output frequency multiple times using a pendulum structure, but also hugely improve the harvesting efficiency through a transformation of impact kinetic energy into potential energy. The P-TENG also has ultrahigh sensitivity and active response to mechanical triggering from a random direction and superior durability for long time operation. A single trigger from the environment, the P-TENG shows a continuous electrical output for 120 s at a frequency of 2 Hz, and its output energy of which is 14.2 times larger than the energy of conventional free-standing TENG. Owing to the air gap between the triboelectric layer and electrodes and the mechanism of electrostatic induction, the P-TENG can work with little frictional resistance and surface wearing, largely enhancing its robustness and durability. The network of P-TENGs was successfully demonstrated to scavenge water wave or wind energy as sustainable power sources. Given the features of exceptional output performance, unprecedented robustness and universal applicability resulting from distinctive mechanism and structure, the P-TENG is a promising method to efficiently harvest energy from the ambient environment with possibility contributing to the blue energy.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nanoen.2019.103908

Cites

32 of 32 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 32 references

Cited by

See all 341

Metadata

Authors
Lin, Z., Zhang, B., Guo, H., Wu, Z., Zou, H., Yang, J., & Wang, Z. L.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2019-10
Volume
64
Pages
103908
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2959088805
Cited by
341
References
32
FWCI
14.43
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: Super-robust and frequency-multiplied triboelectric nanogenerator for efficient harvesting water and wind energy. https://app.cochat.ai/papers/10.1016/j.nanoen.2019.103908
The paper
Lin, Z., Zhang, B., Guo, H., Wu, Z., Zou, H., Yang, J., & Wang, Z. L. (2019). Super-robust and frequency-multiplied triboelectric nanogenerator for efficient harvesting water and wind energy. Nano Energy. https://doi.org/10.1016/j.nanoen.2019.103908

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.