Cited by 565Advanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting TechnologiesSurface Modification and Superhydrophobicity

Harvesting Water Wave Energy by Asymmetric Screening of Electrostatic Charges on a Nanostructured Hydrophobic Thin-Film Surface

Zhu, Guang, Su, Yuanjie, Bai, Peng, Chen, Jun, Jing, Qingshen, Yang, Weiqing, Wang, Zhong Lin·2014·ACS Nano

Abstract

Energy harvesting from ambient water motions is a desirable but underexplored solution to on-site energy demand for self-powered electronics. Here we report a liquid–solid electrification-enabled generator based on a fluorinated ethylene propylene thin film, below which an array of electrodes are fabricated. The surface of the thin film is charged first due to the water–solid contact electrification. Aligned nanowires created on the thin film make it hydrophobic and also increase the surface area. Then the asymmetric screening to the surface charges by the waving water during emerging and submerging processes causes the free electrons on the electrodes to flow through an external load, resulting in power generation. The generator produces sufficient output power for driving an array of small electronics during direct interaction with water bodies, including surface waves and falling drops. Polymer-nanowire-based surface modification increases the contact area at the liquid–solid interface, leading to enhanced surface charging density and thus electric output at an efficiency of 7.7%. Our planar-structured generator features an all-in-one design without separate and movable components for capturing and transmitting mechanical energy. It has extremely lightweight and small volume, making it a portable, flexible, and convenient power solution that can be applied on the ocean/river surface, at coastal/offshore areas, and even in rainy places. Considering the demonstrated scalability, it can also be possibly used in large-scale energy generation if layers of planar sheets are connected into a network.

Integrity signals

Registry

Crossref · 10.1021/nn5012732

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • LSEG with a size of 6 cm × 3 cm has delivered a normal yield energy of 0.12 mW at a wave speed of 0.5 m/s.

    “The LSEG with a size of 6 cm × 3 cm has delivered a normal yield energy of 0.12 mW at a wave speed of 0.5 m/s.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zhu, G., Su, Y., Bai, P., Chen, J., Jing, Q., Yang, W., & Wang, Z. L.
Affiliations
Georgia Institute of Technology (US)
Corresponding author
Wang, Zhong Lin
Venue
ACS Nano
Published
2014-04-18
Volume
8
Issue
6
Pages
6031-6037
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2314761167
Cited by
565
References
26
Citations by year
2026: 28 · 2025: 31 · 2024: 40 · 2023: 51 · 2022: 61 · 2021: 57 · 2020: 50 · 2019: 46 · 2018: 70 · 2017: 41 · 2016: 50 · 2015: 37 · 2014: 2
FWCI
22.51
Type
journal article
Language
en
Open access
closed
Locations
  • ACS Nano (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Materials Science › Surfaces, Coatings and Films › Surface Modification and Superhydrophobicity
Keywords
wave energy conversion, triboelectric charging, self-powered devices

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