ArticleiScience2020
Network Topology Optimization of Triboelectric Nanogenerators for Effectively Harvesting Ocean Wave Energy.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Modeling, analysis and control of an inertial wave energy converter and hydraulic power take-off unit.Scientific reports · 2025Article
- Parameter optimization analysis of rotary electromagnetic vibration energy harvester for performance enhancement under free vibration.iScience · 2023Article
- A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network.iScience · 2022Article
- A Triboelectric-Based Artificial Whisker for Reactive Obstacle Avoidance and Local Mapping.Research (Washington, D.C.) · 2021Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emerging triboelectric nanogenerator (TENG) network shows great potential in harvesting the ocean wave energy, which can help to achieve large-scale clean wave power generation. However, due to the lack of an effective networking strategy and theoretical guidance, the practicability of the TENG network is heavily restricted. In this paper, based on the typical spherical TENG, we investigated the networking design of TENGs. Four fundamental forms of electrical networking topology are proposed for large-scale TENG networks, and the influences of cable resistance and output phase asynchrony of each unit to the network output were systematically investigated. The research results show that the forms of electrical networking topology can produce an important influence on the output power of large-scale TENG networks. This is the first strategy analysis for the TENG network, which provides a theoretical basis and a universal method for the optimization design of large-scale power networks.
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Registered trials
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