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Recent Advances and Applications of Fluid Flow in Aerodynamics and Energy System

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 (31 March 2025) | Viewed by 1403

Special Issue Editor


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Guest Editor
Department of Mechanics, School of Mechanical Engineering, Tianjin University, Tianjin, China
Interests: numerical methods; computational fluid dynamics; flow control methods; vortex dynamics

Special Issue Information

Dear Colleagues,

In recent years, significant advances in computational technology and experimental methods have enabled researchers to address complex flow dynamics with unprecedented accuracy. These developments have opened up new possibilities for optimising the aerodynamic characteristics of wind turbines and other energy systems, which is crucial for improving energy efficiency and reducing operating costs.

This Special Issue focuses on innovative research related to the flow dynamics around wind turbines and other energy systems. We welcome submissions that explore both fundamental and applied aspects of this topic, particularly in the following areas:

(1) Aerodynamic characteristics, flow control, and high-fidelity computational methods

This area includes research on the aerodynamic characteristics of wind turbines and the development of active and passive flow control strategies to improve blade performance. Emphasis is placed on the use of high-fidelity numercical and experimental methods, such as advanced turbulence models and high-precision algorithms. These computational approaches, coupled with experimental validation, are essential for optimising blade designs and wind farm layouts to ensure accurate and reliable performance predictions.

(2) Wind resource assessment and environmental impact

Studies analysing wind resource distribution, wind shear, and turbulence intensity, as well as their impacts on turbine performance, are crucial. In addition, this area includes research into the environmental impacts of wind turbines and the development of strategies to mitigate these negative effects.

(3) Numerical and experimental studies of fluid machinery in energy systems

We also request papers that numerically and experimentally resolve the flow fields of fluid machineries in energy systems. Other investigations, including fluid–structure interations and optimizations, are also welcome.

We encourage submissions that demonstrate the application of these advanced techniques and technologies in real-world wind energy systems, as well as those that provide theoretical insights or innovative methodologies. Additionally, we welcome research focused on other types of rotating machinery that share similar aerodynamic challenges. In summary, the goal of this Special Issue is to gather cutting-edge research that enhances efficiency and performance in the energy sector.

We look forward to receiving contributions that advance the state of knowledge on the topics outlined above.

Dr. Ming Zhao
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

  • rotating machinery aerodynamics
  • flow control strategies
  • numerical methods
  • computational fluid dynamics
  • aeroacoustics
  • wind resource assessment
  • machine learning in wind energy

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Published Papers (2 papers)

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Research

19 pages, 5993 KiB  
Article
A Modularity-Enhanced Echo State Network for Nonlinear Wind Energy Predicting
by Sixian Yue, Zhili Zhao, Tianyou Lai and Jin Zhang
Energies 2025, 18(7), 1858; https://doi.org/10.3390/en18071858 - 7 Apr 2025
Viewed by 245
Abstract
With the rapid growth of wind power generation, accurate wind energy prediction has emerged as a critical challenge, particularly due to the highly nonlinear nature of wind speed data. This paper proposes a modularized Echo State Network (MESN) model to improve wind energy [...] Read more.
With the rapid growth of wind power generation, accurate wind energy prediction has emerged as a critical challenge, particularly due to the highly nonlinear nature of wind speed data. This paper proposes a modularized Echo State Network (MESN) model to improve wind energy forecasting. To enhance generalization, the wind speed data is first decomposed into time series components, and Modes-cluster is employed to extract trend patterns and pre-train the ESN output layer. Furthermore, Turbines-cluster groups wind turbines based on their wind speed and energy characteristics, enabling turbines within the same category to share the ESN output matrix for prediction. An output integration module is then introduced to aggregate the predicted results, while the modular design ensures efficient task allocation across different modules. Comparative experiments with other neural network models demonstrate the effectiveness of the proposed approach, showing that the statistical RMSE of parameter error is reduced by an average factor of 2.08 compared to traditional neural network models. Full article
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26 pages, 15330 KiB  
Article
A Passive Flow Control Technique of a Small-Scale HAWT and TED Analysis Under Yaw Condition Based on Airfoil Concavity
by Jianlong Ma, Qiuyan Li, Ming Zhao, Yanan Chen and Xiaohui Chai
Energies 2024, 17(24), 6448; https://doi.org/10.3390/en17246448 - 21 Dec 2024
Viewed by 777
Abstract
To mitigate the energy loss caused by flow separation of a 300 W small wind turbine, a passive flow control technique based on the airfoil concavity was proposed. The suction surface of the blade was modified with eight different types of concavity, the [...] Read more.
To mitigate the energy loss caused by flow separation of a 300 W small wind turbine, a passive flow control technique based on the airfoil concavity was proposed. The suction surface of the blade was modified with eight different types of concavity, the results showed that the b1 elliptical concavity, with B-spline curves front-and-rear transition, significantly affected the airflow of the airfoil’s suction surface, improving the wind turbine’s aerodynamic performance by 3.26% at maximum. Then, the flow field characteristics of b1, c1, and c4 concave airfoils with typical geometric features under axial flow conditions demonstrated that the b1 airfoil concavity had the greatest impact on flow separation. Moreover, yaw angle was induced, and the wind turbine’s turbulent kinetic energy (TKE) and turbulent energy dissipation (TED) were investigated from the aspects of energy loss. The variation rule of the TED difference between the concave bottom and edge with yaw angle was summarized into an equation that quantitatively explained why the 10° yaw angle was the turning point of the power output, as well as the potential mechanism of concave airfoil-induced power enhancement. These findings provide a foundation for enhancing the aerodynamic performance of large megawatt-class wind turbines. Full article
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