Evidence map›Paper›PMID 38921216›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine.

Junwei Yang, Xin Sun, Hua Yang, Xiangjun Wang

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Junwei YangGuangling College, Yangzhou University, Yangzhou 225000, China.ORCID 0000-0002-2804-801X
Xin SunCollege of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China.
Hua YangCollege of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China.
Xiangjun WangCollege of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China.

Funding

the Excellent Doctor of Yangzhou "Lvyang Jinfeng Plan" YZLYJFJH2021YXNS132the Natural Science Foundation of Jiangsu Higher Education Institutions of China 22KJD480003, 23KJD130004the Natural Science Foundation of Yangzhou City of China YZ2023169the Qing Lan Project of Jiangsu Higher Education Institutions none
6 · The paper itself

Abstract

The vibrissae of harbor seals exhibit a distinct three-dimensional structure compared to circular cylinders, resulting in a wave-shaped configuration that effectively reduces drag and suppresses vortex shedding in the wake. However, this unique cylinder design has not yet been applied to wind power technologies. Therefore, this study applies this concept to the design of downwind wind turbines and employs wind tunnel testing to compare the wake flow characteristics of a single-cylinder model while also investigating the output power and wake performance of the model wind turbine. Herein, we demonstrate that in the single-cylinder test, the bionic case shows reduced turbulence intensity in its wake compared to that observed with the circular cylinder case. The difference in the energy distribution in the frequency domain behind the cylinder was mainly manifested in the near-wake region. Moreover, our findings indicate that differences in power coefficient are predominantly noticeable with high tip speed ratios. Furthermore, as output power increases, this bionic cylindrical structure induces greater velocity deficit and higher turbulence intensity behind the rotor. These results provide valuable insights for optimizing aerodynamic designs of wind turbines towards achieving enhanced efficiency for converting wind energy.

Indexed as

aerodynamic characteristicsbionic towerdownwind wind turbinewind tunnel test

Identifiers

PMID38921216
PMCPMC11202071

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.