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Advances in Wind Turbines
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Advances in Wind Turbines

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 3737

Special Issue Editor

Dr. Ying Zhu

E-Mail Website
Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Interests: wind power generation; control technology of grid-connected wind energy; optimization of wind farms

Special Issue Information

Dear Colleagues,

Wind power generation has become the fastest growing and most competitive power generation technology with the advantages of maturity, low cost and large-scale exploitation. However, the uncertainty of wind power distribution due to climate and topography endows wind power with the characteristics of fluctuation, intermittency, randomness, etc. With the increasing capacity of wind power grid connection, wind power output is directly related to the stable and reliable supply of electricity and the national economy. With the gradual increase in the wind turbine power level, the issue of wind turbines' safe and stable operation has aroused widespread concern. Therefore, in order to build a novel power system and promote the transformation of a low-carbon energy structure, it is essential to comprehensively study key technologies such as new wind turbine topologies, improved generator-side control strategies, wind power prediction approaches and grid-friendly control methodologies for large-capacity wind turbines, in order to promote the sustainable development of the wind power industry.

This Special Issue aims to present and disseminate the most recent advances related to the theory, design, modeling, application, control and condition monitoring of all types of wind turbines.

Topics of interest for publication include, but are not limited to:

  • Advances in the structures of wind turbines;
  • Advances in wind farm layout;
  • Novel control strategies of wind turbines;
  • Grid-connected control strategies;
  • Stability of the wind power generation system;
  • Fault-tolerant control;
  • Online and offline condition-monitoring techniques;
  • Optimal design methodologies;
  • Advanced modeling approaches;
  • Dispatching the optimization of wind power;

Dr. Ying Zhu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wind turbine
  • wind power generator
  • novel control
  • new topologies
  • equivalent modeling
  • efficiency
  • grid connection
  • dispatching optimization
  • stability
  • optimal design

Published Papers (3 papers)

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Research

25 pages, 9994 KiB  
Article
The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines
by Peng Wang, Daorina Bao, Mingzhi Zhao, Zhongyu Shi, Fan Gao and Feng Han
Energies 2023, 16(18), 6708; https://doi.org/10.3390/en16186708 - 19 Sep 2023
Viewed by 1176
Abstract
This article proposes and designs a novel variable pitch adjustment device for small wind turbines. The generator spindle is designed to be hollow so that the drive rod passes through it and connects the pitch drive mechanism to the pitch actuator. The article [...] Read more.
This article proposes and designs a novel variable pitch adjustment device for small wind turbines. The generator spindle is designed to be hollow so that the drive rod passes through it and connects the pitch drive mechanism to the pitch actuator. The article introduces the basic structure and working principle of the pitch mechanism and verifies the feasibility of the pitch device by using 3D printing technology to produce a small-scale model. The stress analysis of the wind turbine was carried out using the unidirectional fluid–structure coupling method. The results show that the maximum equivalent stress of the pitch mechanism is 27.42 MPa, the maximum tooth surface contact stress of the gear is 38.40 MPa, and the maximum tooth root bending stress is 18.13 MPa. The rack synchronous disk, blade handle, and gear rack mechanism were designed with light weight using various optimization schemes. The results of the optimization showed that the overall mass of the pitch mechanism was reduced by 33.2%, improving the applicability of the new pitch mechanism. Full article
(This article belongs to the Special Issue Advances in Wind Turbines)
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17 pages, 4083 KiB  
Article
Condition Monitoring Method for the Gearboxes of Offshore Wind Turbines Based on Oil Temperature Prediction
by Zhixin Fu, Zihao Zhou, Junpeng Zhu and Yue Yuan
Energies 2023, 16(17), 6275; https://doi.org/10.3390/en16176275 - 29 Aug 2023
Cited by 2 | Viewed by 763
Abstract
Traditional machine learning prediction methods usually only predict input parameters through a single model, so the problem of low prediction accuracy is common. Different predictive models extract different information for input, and combining different predictive models can make as much use as possible [...] Read more.
Traditional machine learning prediction methods usually only predict input parameters through a single model, so the problem of low prediction accuracy is common. Different predictive models extract different information for input, and combining different predictive models can make as much use as possible of all the information contained in the inputs. Therefore, this paper improves the existing oil temperature prediction method of offshore wind turbine gearboxes, and for the actual prediction effect of Supervisory Control And Data Acquisition (SCADA) data in this paper, Bayesian-optimized Light Gradient Boosting Machine (LightGBM) and eXtreme Gradient Boosting(XGBoost) machine learning models are selected to be combined. A method based on the Induced Ordered Weighted Average (IOWA) operator combination prediction model is thus proposed, with simulation results showing that the proposed model improves the accuracy of gearbox condition monitoring. The innovation of this article lies in considering the various negative impacts faced by actual offshore wind turbines and adopting a combination prediction model to improve the accuracy of gearbox condition monitoring. Full article
(This article belongs to the Special Issue Advances in Wind Turbines)
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22 pages, 14178 KiB  
Article
Experimental Analysis of Bio-Inspired Vortex Generators on a Blade with S822 Airfoil
by Hector G. Parra, Hernan D. Ceron, William Gomez and Elvis E. Gaona
Energies 2023, 16(12), 4538; https://doi.org/10.3390/en16124538 - 6 Jun 2023
Cited by 2 | Viewed by 1468
Abstract
Vortex generators are used in aircraft wings and wind turbine blades. These devices allow them to maintain a stable turbulent behavior in the wind wake. Vortex generators, or VGs, improve the transition from laminar to turbulent boundary layer regime, avoiding abrupt shedding. HAWT [...] Read more.
Vortex generators are used in aircraft wings and wind turbine blades. These devices allow them to maintain a stable turbulent behavior in the wind wake. Vortex generators, or VGs, improve the transition from laminar to turbulent boundary layer regime, avoiding abrupt shedding. HAWT wind turbines have high rotational velocity. Currently, HAWT turbines are being redesigned with fixed vortex generators, achieving higher energy production. This paper presents a wind tunnel analysis of a fixed-wire blade with S822 airfoil and active VGs bio-inspired by the flight-stabilizing feathers of the peregrine falcon. Vibrations measured on the blade show a reduction in intensity at wind velocities close to 15 m/s. The measured wake velocities show fluctuations at higher tunnel wind velocities. An FFT spectral analysis of the wind wake velocities showed differences between the spectral components. When activating the VGs in oscillation at a constant frequency, a reduction of the vibrations on the blade was observed for wind velocities around 20 m/s. Full article
(This article belongs to the Special Issue Advances in Wind Turbines)
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