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Energies
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Wind Turbine Advances in 2023
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Wind Turbine Advances in 2023

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: 10 June 2024 | Viewed by 944

Special Issue Editors

Dr. Alessio Castorrini

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University "La Sapienza" of Rome, Rome, Italy
Interests: wind energy
Special Issues, Collections and Topics in MDPI journals
Dr. Valerio Francesco Barnabei

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University "La Sapienza" of Rome, Rome, Italy
Interests: wind turbines; computational aerodynamics; fluid-structure interaction; wind energy; machine learning; predictive maintenance; wave energy

Special Issue Information

Dear Colleagues,

Environmental challenges, such as global warming and pollutant emissions, are driving communities to press and accelerate the ecological transition and CO2 reduction toward a fossil-free future. In this context, renewables (especially wind energy) are now receiving the most attention they ever have.

A strong contribution is demanded from scientific research to boost wind energy technology development and minimize the LCOE, ensuring the ecological transition is sustainable.

This Special Issue aims to collect recent and original contributions on advances in wind turbines and wind energy research. Some of the topics included are:

  • Advances in the design and control of wind turbines;
  • Annual energy production optimization and loss estimation;
  • Control strategies for floating wind turbines;
  • Costs and life cycle assessment;
  • Leading edge erosion and protection;
  • Noise control and environmental impact;
  • Predictive maintenance and damage detection in wind turbines;
  • Vertical-axis wind turbines for offshore wind energy;
  • Wind-energy-based systems and simulations;
  • Wind inflow modeling, prediction, and measurement;
  • Wind farm layout and control;
  • Wind resource assessment;
  • Wind turbine aerodynamics and aeroelasticity.

Dr. Alessio Castorrini
Dr. Valerio Francesco Barnabei
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
  • wind rotors
  • wind blades
  • wind energy
  • wind inflow
  • wind farm
  • vertical axis wind turbine
  • leading edge erosion
  • wind turbine control
  • aerodynamics
  • aeroelasticity
  • computational mechanics
  • computational fluid dynamics
  • wind turbine control
  • wind resource assessment
  • floating wind turbine
  • life cycle assessment
  • predictive maintenance
  • damage detection
 

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Published Papers (1 paper)

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Research

29 pages, 15945 KiB  
Article
Analyzing the Effects of Atmospheric Turbulent Fluctuations on the Wake Structure of Wind Turbines and Their Blade Vibrational Dynamics
by Alayna Farrell, Fernando Ponta and Apurva Baruah
Energies 2024, 17(9), 2058; https://doi.org/10.3390/en17092058 - 26 Apr 2024
Viewed by 151
Abstract
In recent trends, a rising demand for renewable energy has driven wind turbines to larger proportions, where lighter blade designs are often adopted to reduce the costs associated with logistics and production. This causes modern utility-scale wind turbine blades to be inherently more [...] Read more.
In recent trends, a rising demand for renewable energy has driven wind turbines to larger proportions, where lighter blade designs are often adopted to reduce the costs associated with logistics and production. This causes modern utility-scale wind turbine blades to be inherently more flexible, and their amplified aeroelastic sensitivity results in complex multi-physics reactions to variant atmospheric conditions, including dynamic patterns of aerodynamic loading at the rotor and vortex structure evolutions within the wake. In this paper, we analyze the influence of inflow variance for wind turbines with large, flexible rotors through simulations of the National Rotor Testbed (NRT) turbine, located at Sandia National Labs’ Scaled Wind Farm Technology (SWiFT) facility in Lubbock, Texas. The Common Ordinary Differential Equation Framework (CODEF) modeling suite is used to simulate wind turbine aeroelastic oscillatory behavior and wind farm vortex wake interactions for a range of flexible NRT blade variations, operating in differing conditions of variant atmospheric flow. CODEF solutions of turbine operation in Steady-In-The-Average (SITA) wind conditions are compared to SITA wind conditions featuring a controlled gust-like pulse overimposed, to isolate the effects of typical wind fluctuations. Finally, simulations of realistic time-varying wind conditions from SWiFT meteorological tower measurements are compared to the solutions of SITA wind conditions. These increasingly complex atmospheric inflow variations are tested to show the differing effects evoked by various patterns of spatiotemporal atmospheric flow fluctuations. An analysis is presented for solutions of wind turbine aeroelastic response and vortex wake evolution, to elucidate the consequences of variant inflow, which pertain to wind turbine dynamics at an individual and farm-collective scale. The comparisons of simulated farm flow for SITA and measured fluctuating wind conditions show that certain regions of the wake contain up to a 12% difference in normalized axial velocity, due to the introduction of wind fluctuations. The findings of this study prove valuable for practical applications in wind farm control and optimization strategies, with particular significance for modern utility-scale wind power plants operating in variant atmospheric conditions. Full article
(This article belongs to the Special Issue Wind Turbine Advances in 2023)
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