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Recent Advances in Wind Farms

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 (20 November 2023) | Viewed by 3464

Special Issue Editors


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Guest Editor
School of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China
Interests: computational fluid dynamics; multiscale simulation approaches

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Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing, China
Interests: wind farm aerodynamics; wakes; micrositing of wind farms

Special Issue Information

Dear Colleagues,

The rapid development of wind power on complex terrain and offshore prompt us to improve the reliability of wind resource assessment of wind farms over complex terrain and reduce the levelized cost of energy (LCOE) by utilizing big wind turbines and active wake control for offshore wind farms. Wind resource assessment and active flow field transition technology for offshore wind farms have many challenges in aerodynamics, aeroelasticity, aeroacoustics, micrositing, wind power forecast, and energy storage. This Special Issue entitled “Recent Advances in Wind Farms” will collect and present the results of research and implementation experiences in the wind energy area, to help toward the development of future wind energy technologies and enhance their sustainability.

Dr. Linmin Li
Dr. Xingxing Han
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 farm aerodynamics
  • wind farm aerodynamics
  • aeroelasticity aeroacoustics
  • wind farm micrositing
  • wind power forecast
  • active wake control
  • energy storage
  • integration of renewable energies

Published Papers (3 papers)

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Research

15 pages, 3631 KiB  
Article
Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
by Qian Xu, Hui Yang, Yuehong Qian and Yikun Wei
Energies 2024, 17(2), 357; https://doi.org/10.3390/en17020357 - 10 Jan 2024
Viewed by 563
Abstract
In this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring [...] Read more.
In this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring under shear force in the incoming flow direction, the S-wave and the Kelvin–Helmholtz instability occur in the major vortex ring mainly due to the unstable vortex ring interface with small disturbance of shear velocity along the direction of flow velocity. The S-wave and Kelvin–Helmholtz instability are increasingly enhanced in the main vortex ring, and three-dimensional disturbances are inevitable along the mainstream direction when it evolves along the flow direction. With increasing incoming flow, the S-wave and Kelvin–Helmholtz instability are gradually enhanced due to the increasing shear force in the flow direction. This is related to the nonlinear growth mechanism of the disturbance. The analysis of the velocity signal, as well as the pressure signal with a fast Fourier transform, indicates that the interaction between the vortices effectively accelerates the turbulence generation. In the near-field region of the wake, the dissipation mainly occurs at the vortex at the blade tip, and the velocity distribution appears asymmetric around the turbine centerline under shear and the mixing of fluids with different velocities in the wake zone also leads to asymmetric distributions. Full article
(This article belongs to the Special Issue Recent Advances in Wind Farms)
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16 pages, 7086 KiB  
Article
Research on Wake Field Characteristics and Support Structure Interference of Horizontal Axis Tidal Stream Turbine
by Jiayan Zhou, Huijuan Guo, Yuan Zheng, Zhi Zhang, Cong Yuan and Bin Liu
Energies 2023, 16(9), 3891; https://doi.org/10.3390/en16093891 - 4 May 2023
Cited by 1 | Viewed by 1106
Abstract
The harnessing and utilization of tidal current energy have emerged as prominent topics in scientific inquiry, due to their vast untapped resource potential, leading to numerous investigations into the efficacy of hydrokinetic turbines under various operational conditions. This paper delineates the wake field [...] Read more.
The harnessing and utilization of tidal current energy have emerged as prominent topics in scientific inquiry, due to their vast untapped resource potential, leading to numerous investigations into the efficacy of hydrokinetic turbines under various operational conditions. This paper delineates the wake field characteristics and performance of horizontal axis tidal stream turbines under the influence of support structures, using a comprehensively blade-resolved computational fluid dynamics (CFDs) model that employs Reynolds-averaged Navier–Stokes (RANS) equations in combination with the RNG k-ε turbulence model. To achieve this, the study utilized experimental tank tests and numerical simulations to investigate the distribution characteristics and recuperative principles of the turbine’s wake field. The velocity distribution and energy augmentation coefficient of the wake field showed strong agreement with the experimental results. To further assess the effect of support structures on the flow field downstream of the unit and its performance, the hydrodynamic attributes of the turbine wake field were analyzed with and without support structures. The interference elicited by the support structure modified the velocity distribution of the near-wake flow field, resulting in a 4.41% decrease in the turbine’s power coefficient (Cp), significantly impacting the turbine’s instantaneous performance. Full article
(This article belongs to the Special Issue Recent Advances in Wind Farms)
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18 pages, 1239 KiB  
Article
Comparative Analysis of Wind Farm Simulators for Wind Farm Control
by Minjeong Kim, Hyeyeong Lim and Sungsu Park
Energies 2023, 16(9), 3676; https://doi.org/10.3390/en16093676 - 25 Apr 2023
Cited by 1 | Viewed by 1400
Abstract
This paper conducts a comparative analysis of three wind farm simulators, examining the influence of wake on the local wind speed and power output for downstream turbines using experimental data. The study features experiments in three distinct scenarios, evaluating differences among the simulators [...] Read more.
This paper conducts a comparative analysis of three wind farm simulators, examining the influence of wake on the local wind speed and power output for downstream turbines using experimental data. The study features experiments in three distinct scenarios, evaluating differences among the simulators by calculating the local wind speed and power for each. Each simulator employs a unique wake model, which substantially affects the local wind speed experienced by downstream turbines. Furthermore, the experiment involves adjusting parameter values for each simulator to assess their respective impacts on wind farm performance. The findings of this research are expected to play an important role in investigations related to power optimization and wake effects in the wind farm control. Full article
(This article belongs to the Special Issue Recent Advances in Wind Farms)
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