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Advanced Research and Methods of Noise Control for Wind Turbine

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: 30 April 2024 | Viewed by 2003

Special Issue Editors


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Guest Editor
School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China
Interests: aeroacoustics; bionic noise reduction; noise prediction; propeller noise; noise measurement
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Co-Guest Editor
China Aerodynamics Research and Development Center, Mianyang, China
Interests: aeroacoustics; turbomachinery noise; aircraft noise; flow control jet noise

E-Mail Website
Co-Guest Editor
China Aerodynamics Research and Development Center, Mianyang, China
Interests: aeroacoustics; open rotor noise; propeller noise; bionic noise control

Special Issue Information

Dear Colleagues,

Wind turbines are widely used due to their environmental friendliness. The global annual installed capacity of wind turbines is up to 52.5 GW, and the global cumulative installed capacity exceeds 539 GW. More than 10% of electricity in Europe is provided by the wind power industry. The growing use of wind turbines causes serious noise problems to the community, especially for modern wind turbines with large diameters of more than 150 m. The two main aerodynamic noise sources of wind turbines are the trailing edge noise generated by the interaction of boundary layer turbulence with the trailing edge of an airfoil, and the leading edge noise generated by the interaction of inflow turbulence with the leading edge of an airfoil. The control of wind turbine noise is a challenging task due to its broadband characteristics. However, to further increase the rotor diameter and improve the wind energy capture efficiency, it is urgent to conduct systemic research and develop advanced noise control methods for wind turbines.

This Special Issue aims to present and disseminate the most recent advances related to this research and the methods of noise control for wind turbines.

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

  • Active noise control method;
  • Passive noise control method;
  • Analytical noise prediction method;
  • Advanced computational aeroacoustics of wind turbines;
  • Advanced computational aerodynamics of wind turbines;
  • Advanced noise measurements;
  • Noise generation mechanisms of wind turbines;
  • Noise reduction mechanisms of the noise control method.

Dr. Weijie Chen
Guest Editor

Dr. Liangfeng Wang
Dr. Fan Tong 
Co-Guest Editors

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
  • aeroacoustics
  • noise control
  • noise prediction
  • noise reduction mechanisms
  • bionic treatment
  • noise measurement
  • computational fluid mechanics

Published Papers (2 papers)

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Research

15 pages, 8400 KiB  
Article
Experimental Study on Wind Turbine Airfoil Trailing Edge Noise Reduction Using Wavy Leading Edges
by Yudi Xing, Xingyu Wang, Weijie Chen, Fan Tong and Weiyang Qiao
Energies 2023, 16(16), 5865; https://doi.org/10.3390/en16165865 - 08 Aug 2023
Viewed by 938
Abstract
Aerodynamic noise produced by the rotating blade is an important hindrance for the rapid development of modern wind turbines. Among the various noise sources, the airfoil trailing edge noise contributes a lot to the wind turbine noise. The control of wind turbine airfoil [...] Read more.
Aerodynamic noise produced by the rotating blade is an important hindrance for the rapid development of modern wind turbines. Among the various noise sources, the airfoil trailing edge noise contributes a lot to the wind turbine noise. The control of wind turbine airfoil trailing edge self-noise by bio-inspired sinusoidal wavy leading edges is experimentally studied in a semi-anechoic chamber. The noise radiated by the baseline NACA 0012 airfoil and various wavy airfoils is measured using a planar microphone array consisting of fifty-two microphones. The noise source identifications are achieved by using the CLEAN-SC method. The effects of velocity and angle of attack on noise radiation of the baseline airfoil are analyzed in detail. The noise control law of the wavy amplitude and wavelength on airfoil trailing edge noise is explored. Based on the acoustic beamforming results, the noise control effects of the wavy leading edges are intuitively demonstrated. In general, the wavy leading edge with a larger amplitude and smaller wavelength has a better effect on the airfoil trailing edge noise reduction. The maximum sound pressure level reduction can be up to 33.9 dB. The results of this study are expected to provide important information for wind turbine aerodynamic noise control. Full article
(This article belongs to the Special Issue Advanced Research and Methods of Noise Control for Wind Turbine)
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19 pages, 1225 KiB  
Article
Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System
by Jian Zhang, Yong Wan, Quan Ouyang and Meng Dong
Energies 2023, 16(15), 5654; https://doi.org/10.3390/en16155654 - 27 Jul 2023
Cited by 1 | Viewed by 724
Abstract
The aim of this paper is to extract the maximum power from wind energy for the doubly fed induction generator based wind turbine system (DFIG-WT) under the continuous stochastic perturbations of wind speed. The DFIG-WT is modeled as the Itô stochastic differential equations. [...] Read more.
The aim of this paper is to extract the maximum power from wind energy for the doubly fed induction generator based wind turbine system (DFIG-WT) under the continuous stochastic perturbations of wind speed. The DFIG-WT is modeled as the Itô stochastic differential equations. The stochastic backstepping control method and the gain suppressing inequality technique are employed to guarantee that the relative rotor speed to the optimal value is bounded in probability. Furthermore, we extend the bounded result to the asymptotic stability of the rotor speed control loop. In addition, the parametric uncertainties in DFIG-WT are also considered in our control synthesis. The simplicity, robustness and efficiency of the designed controller are verified under the special wind speed with white noise by the numerical simulation of a 660 KW DFIG-WT. Full article
(This article belongs to the Special Issue Advanced Research and Methods of Noise Control for Wind Turbine)
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