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Trends and Innovations in Wind Power Systems: 2nd Edition
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Trends and Innovations in Wind Power Systems: 2nd Edition

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: 25 August 2026 | Viewed by 2349

Special Issue Editor

Prof. Dr. Mircea Neagoe

E-Mail Website
Guest Editor
Renewable Energy Systems and Recycling Research Center, Transilvania University of Brasov, Brasov, Romania
Interests: mechanisms; mechanical transmissions; robotics; planetary speed increasers; wind turbines; photovoltaic systems; solar tracking systems; artificial intelligence; product design and development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to publish your latest research results in this Special Issue of Energies, entitled ‘Trends and Innovations in Wind Power Systems: 2nd Edition’.

The global wind power capacity registered in the last decade, including both onshore and offshore, exponentially increased every year, reaching over 1100 GW—a consolidated second place in output among renewables. Thus, wind energy is becoming a major source of green and cost-competitive energy worldwide, although it is site-dependent and its conversion is influenced by equipment performance.

Increasing energy conversion efficiency to maximize the use of onsite renewable potential is a major challenge. Many innovative solutions for wind turbines have been proposed in recent years, such as counter-rotating wind rotors, high-performance mechanical transmissions, and more compact and efficient electric generators, including counter-rotating generators, large-capacity wind turbines that use multiple smaller rotors in a spatial arrangement, etc. The integration of wind turbines into the built environment has been intensively studied by combining their technical, environmental, and esthetic aspects. Researchers and designers in the field are facing market demands for affordable, efficient, reliable, stable, and smart solutions for wind turbines.

The second edition of this Energies Special Issue, entitled 'Trends and Innovations in Wind Power Systems: 2nd Edition’, builds upon the success of the first edition by further advancing the discourse on the topic. This Special Issue will continue to gather new research results and future trends in the field of wind turbines, covering a broad range of topics of interest including, but not limited to, the following:

  • Wind energy potential and forecasting;
  • Innovative designs and optimization of wind turbines;
  • Modeling and numerical simulations of wind turbines;
  • Intelligent control of wind turbines;
  • Wind energy conversion efficiency;
  • Reliability and maintenance of wind turbines;
  • Integration of wind turbines into the built environment;
  • Energy management.

Review papers and articles based on multidisciplinary research are also encouraged.

Prof. Dr. Mircea Neagoe
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 250 words) can be sent to the Editorial Office for assessment.

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 power system
  • horizontal axis wind turbine
  • vertical axis wind turbine
  • counter-rotating wind turbine
  • wind rotor speed increaser
  • gearbox
  • electrical generator
  • wind energy
  • potential
  • forecasting
  • onshore
  • offshore
  • hybrid energy systems
  • integration in the built environment
  • design
  • optimization
  • innovation
  • dynamics
  • efficiency
  • grid integration
  • emerging technology
  • operation
  • control
  • stability
  • artificial intelligence
  • fault detection
  • power quality
  • modeling
  • conomics
  • numerical simulations
  • experimental testing
  • reliability
  • maintainance
  • condition monitoring
  • recycling

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Related Special Issue

Published Papers (3 papers)

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Research

35 pages, 5506 KB  
Article
Integrated Numerical and Experimental Assessment of Passive Blade Designs for Enhanced Self-Starting in H-Type VAWT Under Low Wind Conditions
by Jorge-Saúl Gallegos-Molina and Ernesto Chavero-Navarrete
Energies 2026, 19(9), 2052; https://doi.org/10.3390/en19092052 - 23 Apr 2026
Viewed by 298
Abstract
The limited self-starting capability of H-type Darrieus Vertical-Axis Wind Turbines (VAWT) remains one of the main obstacles to their deployment in low-power and urban applications, where wind conditions are typically weak and intermittent. Although several passive geometric modification strategies have been proposed to [...] Read more.
The limited self-starting capability of H-type Darrieus Vertical-Axis Wind Turbines (VAWT) remains one of the main obstacles to their deployment in low-power and urban applications, where wind conditions are typically weak and intermittent. Although several passive geometric modification strategies have been proposed to enhance initial torque generation, most available studies rely predominantly on numerical simulations, with limited systematic experimental validation under low tip-speed ratio (TSR) conditions. In this work, the influence of passive blade modifications on self-starting performance is assessed through a combined numerical–experimental approach. An integrated numerical–experimental framework was used to systematically compare passive blade configurations under equivalent low-wind conditions. Two modified configurations, a biomimetic profile incorporating passive trailing-edge devices and an asymmetric J-type geometry, were optimized using transient CFD simulations of the first rotation cycle and a Design of Experiments (DOE) framework. Additively manufactured full-rotor test blades were then manufactured via additive manufacturing and tested in a controlled wind tunnel at 3.0 m/s and 2.25 m/s. Start-up time, azimuthal robustness, tip-speed-ratio evolution, and static start-up torque (interpreted through its corresponding torque coefficient) were measured and compared against a baseline NACA0018 profile. The biomimetic configuration consistently produced higher start-up torque and shorter acceleration times, achieving self-starting in 66.7% of the evaluated azimuthal positions at 2.25 m/s, compared to 22.2% for the baseline profile. Within the investigated operating range, this configuration emerged as the most robust passive strategy. The agreement between CFD predictions and experimental measurements supports the use of first-cycle maximum torque as a representative indicator of self-starting performance. These findings highlight the comparative value of first-cycle maximum torque as a practical metric for passive self-starting design assessment in low-TSR Darrieus turbines. These findings provide direct experimental evidence to guide the rational design of Darrieus turbines intended for marginal wind conditions. Full article
(This article belongs to the Special Issue Trends and Innovations in Wind Power Systems: 2nd Edition)
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23 pages, 19538 KB  
Article
Optimal Linear Feedback Control—OLFC Applied to a Small Turbine Operating in Region II
by Luan J. F. Ferreira, Hilson H. Daum, Jose M. Balthazar, Giane G. Lenzi and Angelo M. Tusset
Energies 2026, 19(5), 1129; https://doi.org/10.3390/en19051129 - 24 Feb 2026
Viewed by 423
Abstract
Wind energy production is growing year after year, increasing the share of wind energy in global energy sources. The amount of energy obtained depends on the wind speed. When wind speeds are below the nominal value, the goal is to maximize energy production. [...] Read more.
Wind energy production is growing year after year, increasing the share of wind energy in global energy sources. The amount of energy obtained depends on the wind speed. When wind speeds are below the nominal value, the goal is to maximize energy production. To optimize energy extraction under these conditions, the study employs the optimal torque (OT) control method in combination with the Optimal Linear Feedback Control (OLFC) technique. Although the OLFC method was developed some time ago, the literature has not yet thoroughly explored its application to wind turbines. This work aims to evaluate the dynamic response and energy output of a small-scale wind turbine equipped with an OLFC. Performance is evaluated relative to the uncontrolled system. The results demonstrate that the turbine controlled by the OLFC strategy maintained optimal operating conditions throughout the evaluation period under all wind scenarios. In contrast, the uncontrolled turbine exhibited inferior performance and failed to achieve the desired optimal parameters. The controlled turbine also shows a higher generated power than the uncontrolled turbine across all evaluated wind conditions. The OLFC technique demonstrated satisfactory performance, was simple to implement, and did not require system linearization. Full article
(This article belongs to the Special Issue Trends and Innovations in Wind Power Systems: 2nd Edition)
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24 pages, 2308 KB  
Article
Integrating Trend Monitoring and Change Point Detection for Wind Turbine Blade Diagnostics: A Physics-Driven Evaluation of Erosion and Twist Faults
by Abu Al Hassan, Nasir Hussain Razvi Syed, Debela Alema Teklemariyem and Phong Ba Dao
Energies 2026, 19(1), 112; https://doi.org/10.3390/en19010112 - 25 Dec 2025
Cited by 1 | Viewed by 874
Abstract
Robust condition monitoring of wind turbine blades is essential for reducing downtime and maintenance costs, particularly under variable operating conditions. While recent studies suggest that combining trend monitoring (TM) with change point detection (CPD) can improve diagnostic performance, it remains unclear whether such [...] Read more.
Robust condition monitoring of wind turbine blades is essential for reducing downtime and maintenance costs, particularly under variable operating conditions. While recent studies suggest that combining trend monitoring (TM) with change point detection (CPD) can improve diagnostic performance, it remains unclear whether such integration is beneficial for all fault types. This study experimentally evaluates the integration of TM and CPD using vibration data from a laboratory-scale wind turbine for two representative blade faults: leading-edge erosion and twist misalignment. For the erosion case, discrete wavelet transform (DWT) energy features exhibit a clear and persistent increase in mid-frequency content, with energy deviations of approximately 34–45% relative to the healthy state. However, Bayesian Online Change Point Detection (BOCPD) does not reveal distinct change points, indicating that CPD provides limited additional value for gradual, steady-state degradation. In contrast, for twist misalignment, the short-time Fast Fourier Transform (FFT) features reveal dynamic spectral redistribution, and CPD applied to spectral centroid trends produces a sharp, localized detection signature. These results demonstrate that integrating TM with CPD significantly enhances fault detectability for dynamic, instability-driven faults, while TM alone is sufficient for smooth, steady-state degradation. This study provides an evidence-based guideline for selectively integrating CPD into wind turbine blade condition monitoring systems based on fault physics. Full article
(This article belongs to the Special Issue Trends and Innovations in Wind Power Systems: 2nd Edition)
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