Cutting-Edge Applications of Wind Turbine Aerodynamics

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Turbomachinery".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 1826

Special Issue Editors


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Guest Editor
School of New Energy, Nanjing University of Science and Technology, Nanjing 214443, China
Interests: wind turbine aerodynamics; flow control; CFD simulations
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Interests: applied aerodynamics; wind engineering and industrial fluid dynamics; thermal design and management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Energy Research Institute, Nanjing Institute of Technology, Nanjing 211167, China
Interests: blade design; wind turbine wake; floating wind turbine dynamics

Special Issue Information

Dear Colleagues,

The advancement of wind turbine aerodynamics is crucial for optimizing the performance and efficiency of wind energy systems. This Special Issue aims to gather researchers and industry experts to discuss the latest innovations and technologies in wind turbine aerodynamics, focusing on enhancing energy capture and reducing operational costs. Key areas of interest include advanced aerodynamic modeling and simulation, innovative blade design, and control strategies to maximize efficiency and minimize wear and tear.

Research topics of interest include, but are not limited to, the following:

  • Advanced Aerodynamic Modeling: Development of new aerodynamic models to better predict wind flow and turbine response under various environmental conditions.
  • Innovative Blade Design: Exploration of novel blade shapes and materials to improve aerodynamic performance and durability.
  • Control Strategies: Implementation of sophisticated control algorithms to optimize turbine operation and extend lifespan.
  • Turbine–Wake Interactions: Study of interactions between turbine wakes and their impact on overall wind farm performance.
  • Noise Reduction Techniques: Development of methods to reduce aerodynamic noise generated by turbine blades, improving their acceptance in populated areas.
  • Sustainability and Environmental Impact: Assessing the environmental impact of aerodynamic innovations and ensuring sustainable practices in turbine design and operation.

By addressing these topics, this Special Issue aims to present groundbreaking research and practical solutions that will drive the future of wind energy, providing insights for both academic researchers and industry practitioners. The goal is to facilitate knowledge exchange and foster collaborations that will lead to more efficient, reliable, and sustainable wind energy systems.

Dr. Chengyong Zhu
Dr. Xiang Shen
Dr. Yaoru Qian
Guest Editors

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Keywords

  • aerodynamic efficiency
  • turbine blade optimization
  • wake dynamics
  • noise reduction techniques
  • computational fluid dynamics
  • wind-tunnel and field experiments
  • flow control techniques
  • fluid–structure interaction

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Published Papers (2 papers)

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Research

17 pages, 6315 KiB  
Article
Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation
by Marina Budanko and Zvonimir Guzović
Machines 2024, 12(12), 886; https://doi.org/10.3390/machines12120886 - 5 Dec 2024
Viewed by 625
Abstract
Integrating wind turbines within urban environments, either as building-mounted units or standalone installations, represents a valuable step toward sustainable city development. Vertical axis wind turbines (VAWTs) are commonly favored in these settings due to their ability to handle turbulent winds; however, they generally [...] Read more.
Integrating wind turbines within urban environments, either as building-mounted units or standalone installations, represents a valuable step toward sustainable city development. Vertical axis wind turbines (VAWTs) are commonly favored in these settings due to their ability to handle turbulent winds; however, they generally exhibit lower energy conversion efficiency compared to horizontal axis wind turbines (HAWTs). Selecting optimal urban or suburban locations with favorable wind conditions opens the possibility of deploying HAWTs, leveraging their higher efficiency even at comparable wind speeds. This paper presents a methodology for designing highly efficient HAWTs for urban use, supported by computational fluid dynamics (CFD) analyses to produce power curves and evaluate the energy conversion efficiency of both bare and augmented turbine designs. Differing from prior studies, this work also incorporates a detailed economic analysis, examining how reductions in the Levelized Cost of Energy (LCOE) enhance the cost-effectiveness of small-scale distributed wind systems. The findings offer insights into the technical and economic viability of small-scale HAWT configurations for distributed energy generation across diverse urban locations with varying wind profiles. Full article
(This article belongs to the Special Issue Cutting-Edge Applications of Wind Turbine Aerodynamics)
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18 pages, 8574 KiB  
Article
Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine
by Alina Fazylova, Baurzhan Tultayev, Teodor Iliev, Ivaylo Stoyanov, Mirey Kabasheva and Selahattin Kosunalp
Machines 2024, 12(11), 746; https://doi.org/10.3390/machines12110746 - 22 Oct 2024
Cited by 1 | Viewed by 660
Abstract
This article explores and optimizes network technologies for wind energy systems, focusing on the RS-485 interface to ensure reliable data transmission in extreme conditions. The study aims to address the impact of various distortions on data quality and wind turbine management. A system [...] Read more.
This article explores and optimizes network technologies for wind energy systems, focusing on the RS-485 interface to ensure reliable data transmission in extreme conditions. The study aims to address the impact of various distortions on data quality and wind turbine management. A system was proposed with two wind turbines, each equipped with a Raspberry Pi 4, connected to sensors measuring temperature, vibration, and wind speed. The research examined how data transmission rates affect signal shape, calculating the distortion coefficient. At 460,800 baud, the signal was almost completely distorted, with significant amplitude loss. The distortion coefficients were 1.84 for logic ‘1’ and 1.92 for logic ‘0’. The optimal speed to minimize distortions was found to be 19,200 baud, providing the most stable signal. Additionally, temperature significantly impacted transmission quality, highlighting the need to consider climatic conditions in system design. The findings and methods can help improve existing data transmission systems and enhance wind turbine performance. Full article
(This article belongs to the Special Issue Cutting-Edge Applications of Wind Turbine Aerodynamics)
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