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Wind Energy and Wind Turbine System
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Wind Energy and Wind Turbine System

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: 30 May 2025 | Viewed by 6215

Special Issue Editors

Dr. Kok-Hoe Wong

E-Mail Website
Guest Editor
Faculty of Engineering and Physical Sciences, University of Southampton Malaysia Campus, Iskandar Puteri 79100, Johor, Malaysia
Interests: renewable energy; wind energy; wind turbine; product design and manufacturing; computational fluid dynamics
Dr. Ahmad Fazlizan

E-Mail Website
Guest Editor
Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Interests: wind energy; wind turbine; solar energy; solar thermal; computational fluid dynamics; renewable energy technology
Dr. Muhammad Salman Siddiqui

E-Mail Website
Guest Editor
Faculty of Science and Technology, Norwegian University of Life Sciences, Elizabeth Stephansens v. 15, 1430 Ås, Norway
Interests: computational fluid dynamics; computational mechanics; modeling and simulation; offshore wind turbines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of fossil fuels for electricity generation has led to serious environmental problems. As an alternative solution, renewable energy has started to attract a great deal of attention. Wind energy is popular among renewable energies because it is abundant, clean, inexhaustible, and environmentally friendly. Wind turbines have been ingeniously engineered to harness wind energy in agriculture for irrigation and crop grinding for centuries.

The purpose of this Special Issue is to collect the latest research and cutting-edge technology to facilitate the exchange of innovative ideas regarding wind energy and wind turbine systems among academicians, engineers, scientists, and practitioners. Of interest is newly developed, innovative, and advanced techniques for wind power generation and wind turbine systems.

We welcome theoretical, experimental, and simulation works on wind energy and wind turbines. This Special Issues invites the submission of reviews, original research articles, mini reviews, and data reports. Topics of interest for publication include but are not limited to the following:

  • Advances in wind turbine rotor design;
  • Computational fluid dynamics analysis;
  • Horizontal-axis wind turbines;
  • Innovation in wind turbine systems;
  • Numerical and analytical analysis;
  • Onshore and offshore wind turbines;
  • Urban wind turbines;
  • Vertical-axis wind turbines;
  • Wind energy forecasting and prediction;
  • Wind farms and the interaction of wind turbine arrays;
  • Wind turbine aerodynamics and aeroelasticity;
  • Wind–wake interaction of turbine rotors.

Dr. Kok-Hoe Wong
Dr. Ahmad Fazlizan
Dr. M. Salman Siddiqui
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. Applied System Innovation 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 1400 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.

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

16 pages, 5590 KiB  
Article
Experimental and Computational Study of the Aerodynamic Characteristics of a Darrieus Rotor with Asymmetrical Blades to Increase Turbine Efficiency Under Low Wind Velocity Conditions
by Muhtar Isataev, Rustem Manatbayev, Zhanibek Seydulla, Nurdaulet Kalassov, Ainagul Yershina and Zhandos Baizhuma
Appl. Syst. Innov. 2025, 8(2), 49; https://doi.org/10.3390/asi8020049 - 3 Apr 2025
Viewed by 358
Abstract
In this study, we conducted experimental and numerical investigations of a Darrieus rotor with asymmetrical blades, which has two structural configurations—with and without horizontal parallel plates. Experimental tests were conducted in a wind tunnel at various air flow velocities (ranging from 3 m/s [...] Read more.
In this study, we conducted experimental and numerical investigations of a Darrieus rotor with asymmetrical blades, which has two structural configurations—with and without horizontal parallel plates. Experimental tests were conducted in a wind tunnel at various air flow velocities (ranging from 3 m/s to 15 m/s), measuring rotor rotation frequency, torque, and thrust force. The computational simulation used the ANSYS 2022 R2 Fluent software package, where CFD simulations of air flow around both rotor configurations were performed. The calculations employed the Realizable k-ε turbulence model, while an unstructured mesh with local refinement in the blade–flow interaction zones was used for grid generation. The study results showed that the rotor with horizontal parallel plates exhibits higher aerodynamic efficiency at low wind velocities compared to the no-plates rotor. The experimental findings indicated that at wind speeds of 3–6 m/s, the rotor with plates demonstrates 18–22% higher torque, which facilitates the self-start process and stabilizes turbine operation. The numerical simulations confirmed that horizontal plates contribute to stabilizing the air flow by reducing the intensity of vortex structures behind the blades, thereby decreasing aerodynamic drag and minimizing energy losses. It was also found that the presence of plates creates a directed flow effect, increasing the lift force on the blades and improving the power coefficient (Cp). In the case of the rotor without plates, the CFD simulations identified significant low-pressure zones and high turbulence regions behind the blades, leading to increased aerodynamic losses and reduced efficiency. Thus, the experimental and numerical modeling results confirm that the Darrieus rotor with horizontal parallel plates is a more efficient solution for operation under low and variable wind conditions. The optimized design with plates ensures more stable flow, reduces energy losses, and increases the turbine’s power coefficient. These findings may be useful for designing small-scale wind energy systems intended for areas with low wind speeds. Full article
(This article belongs to the Special Issue Wind Energy and Wind Turbine System)
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15 pages, 5490 KiB  
Article
Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals
by Pavel V. Matrenin, Dmitry A. Harlashkin, Marina V. Mazunina and Alexandra I. Khalyasmaa
Appl. Syst. Innov. 2024, 7(6), 105; https://doi.org/10.3390/asi7060105 - 29 Oct 2024
Cited by 1 | Viewed by 1241
Abstract
The accurate prediction of wind power generation, as well as the development of a digital twin of a wind turbine, require estimation of the power curve. Actual measurements of generated power, especially over short-term intervals, show that in many cases the power generated [...] Read more.
The accurate prediction of wind power generation, as well as the development of a digital twin of a wind turbine, require estimation of the power curve. Actual measurements of generated power, especially over short-term intervals, show that in many cases the power generated differs from the calculated power, which considers only the wind speed and the technical parameters of the wind turbine. Some of these measurements are erroneous, while others are influenced by additional factors affecting generation beyond wind speed alone. This study presents an investigation of the features influencing the accuracy of calculations of wind turbine power at short-term intervals. The open dataset of SCADA-system measurements from a real wind turbine is used. It is discovered that using ensemble machine learning models and additional features, including the actual power from the previous time step, enhances the accuracy of the wind power calculation. The root-mean-square error achieved is 113 kW, with the nominal capacity of the wind turbine under consideration being 3.6 MW. Consequently, the ratio of the root-mean-square error to the nominal capacity is 3%. Full article
(This article belongs to the Special Issue Wind Energy and Wind Turbine System)
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11 pages, 12103 KiB  
Article
Power Curve Modeling of Wind Turbines through Clustering-Based Outlier Elimination
by Chunhyun Paik, Yongjoo Chung and Young Jin Kim
Appl. Syst. Innov. 2023, 6(2), 41; https://doi.org/10.3390/asi6020041 - 15 Mar 2023
Cited by 5 | Viewed by 3174
Abstract
The estimation of power curve is the central task for efficient operation and prediction of wind power generation. It is often the case, however, that the actual data exhibit a great deal of variations in power output with respect to wind speed, and [...] Read more.
The estimation of power curve is the central task for efficient operation and prediction of wind power generation. It is often the case, however, that the actual data exhibit a great deal of variations in power output with respect to wind speed, and thus the power curve estimation necessitates the detection and proper treatment of outliers. This study proposes a novel procedure for outlier detection and elimination for estimating power curves of wind farms by employing clustering algorithms of vector quantization and density-based spatial clustering of applications with noise. Testing different parametric models of power output curve, the proposed methodology is demonstrated for obtaining power curves of individual wind turbines in a Korean wind farm. It is asserted that the outlier elimination procedure for power curve modeling outlined in this study can be highly efficient at the presence of noises. Full article
(This article belongs to the Special Issue Wind Energy and Wind Turbine System)
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