2026 December - 14 articles
During the operation of large wind turbine blades, surface roughness structures of varying scales are formed, and the dynamic stall characteristics of airfoils are significantly altered by these structures. Dynamic stall analyses have been predominan...
This work proposes and evaluates a supervised classification framework based on multichannel vibration signals to analyze two systems associated with wind turbines: rotor imbalance in a laboratory-adapted Enair E30Pro wind turbine and structural dama...
Identifying areas for further wind energy investigation requires information on wind resources, accessibility, and land availability. Yet national screening may select similar areas of land while identifying different locations as assumptions change....
Wind energy conversion systems based on dual-star induction generators (DSIGs) exhibit nonlinear dynamics and sensitivity to operating-condition variations, which can adversely affect power tracking, DC-link voltage regulation, and power quality. Thi...
This study presents a spatial and diurnal assessment of wind energy resources in central and southern Iraq, using hourly wind speed data for the year 2023 from the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis (0.25°...
Direct-drive offshore wind turbines require generator technologies that deliver high torque density, efficiency, reliability and controllability while reducing generator mass, dependence on critical rare-earth materials and associated lifecycle costs...
Offshore wind farms are typically optimized using a stationary historical wind rose, although development and operation span decades. This study presents CRA-WLO, a scenario-based screening framework coupling a piecewise-smooth engineering wake model...
Wind energy has gained prominence as a sustainable alternative for power generation. In Brazil, this type of renewable source gained greater visibility after the 2001 energy crisis, which accelerated the search for new energy sources. Currently, only...
Wind power forecasting is essential for maintaining grid stability due to the inherent intermittency and nonlinear dynamics of wind energy. This study proposes a robust two-stage hybrid framework for short-term wind power prediction integrating varia...
Efficient maximum power extraction under rapidly varying wind conditions remains a major challenge for variable-speed wind energy conversion systems (WECSs). This paper proposes a nonlinear derivative synergetic mode controller (DSMC) for robust roto...
The design, modeling, and experimental validation of a Genetic Algorithm (GA)-optimized Active Disturbance Rejection Control (ADRC) strategy for voltage regulation in a standalone Wind Energy Conversion System (WECS) based on a Doubly Fed Induction G...
This study presents an experimental reduction methodology for deriving the equivalent roughness parameters required by rough-wall CFD wall functions from measured turbulent-boundary-layer velocity profiles. The methodology is demonstrated using const...
Wind turbines are exposed to variable loads due to parameters such as wind speed, turbulence intensity, rotor angular velocity, nacelle yaw, and power generation. As variation in loads is the fundamental phenomenon leading to fatigue, understanding f...
Machine learning technologies are increasingly being used in data analysis as potential tools for assessing natural resources. The goal of this study is to determine how successfully the recently released Time Series Modeller (MATLAB R2026a) predicts...
