Results 121 to 130 of about 3,881 (222)

A review of aeroelastic instabilities and resonance effects in wind turbine blade dynamics. [PDF]

Wind Eng
Saram MU, Yang J.
europepmc   +1 more source

Ocean Wave Modulation of Offshore Wind Turbine Loads and Wake

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT This study examines how wave‐induced modulation affects the operational performance and structural dynamics of fixed‐bottom offshore wind turbines operating under a neutral atmospheric boundary layer profile. To capture these effects accurately while maintaining computational efficiency, unsteady RANS modelling techniques are employed.
Guillén Campaña‐Alonso, Beatriz Méndez‐López, Esteban Ferrer   +2 more
wiley   +1 more source

Multiclass Dataset for Intelligent Detection of Wind Turbine Blade Defects Using Drone Imagery. [PDF]

Sci Data
Ji L, Cheng J, Wu S.
europepmc   +1 more source

Physics‐Informed Bayesian Optimisation of Utility‐Scale Wind Farms in Synthetically Generated Complex Terrain Using LES

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel, Rafael Palacios, Sylvain Laizet   +2 more
wiley   +1 more source

CEA-DETR: A Multi-Scale Feature Fusion-Based Method for Wind Turbine Blade Surface Defect Detection. [PDF]

Sensors (Basel)
Luo X, Wang R, Zhang J, Zeng J, Cai X.
europepmc   +1 more source

Drone‐Based Inspection of Wind Turbine Blades: A Comparative Study of Deep Learning Models

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Maintaining wind turbine blades is a challenging task, often marked by high costs, safety risks, time inefficiency, and the possibility of incorrect diagnosis. A promising approach to support preventive maintenance involves the use of drones and deep learning for inspection and early fault detection.
Lakhdar Laib, Thameur Obaidi, Mohamed Elbar, Toufik Tayeb Naas, Ahmed Bensaci, Leliso Hobicho Dabelo   +5 more
wiley   +1 more source

Numerical and experimental investigation on aeroelasticity of wind turbine blade with biological airfoil and V‑stripe web. [PDF]

Sci Rep
Chen K, Ren K, Zhao P, Su T, Hao Z, Wang Q, Zhao Z.   +6 more
europepmc   +1 more source

Comparison of Power and Thrust Performance for a Fixed and Floating Offshore Wind Turbine

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Floating offshore wind turbines have been identified as a critical technology for sustainable electricity generation. Wind resource assessment is used to determine optimal locations for floating wind farms. However, current methodologies do not account for performance differences between fixed and floating turbines due to wind‐ and wave ...
Jackson P. Hardin, Federico Zilic de Arcos, Thomas A. A. Adcock, Emma C. Edwards   +3 more
wiley   +1 more source

Wind Tunnel Assessment of Dynamic Induction Control Under Varying Inflow Wind Directions

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Dynamic induction control (DIC), also known as pulse control, is a wake‐mixing strategy intended to improve wind farm efficiency by mitigating wake‐induced power losses. It typically employs harmonic collective blade pitching to excite wake instabilities, forming coherent pulsing structures that enhance turbulent mixing and accelerate wake ...
Manuel Alejandro Zúñiga Inestroza, Paul Hulsman, Martin Kühn, Vlaho Petrović   +3 more
wiley   +1 more source

Multi-scale defect detection technology for wind turbine blade surfaces based on the SASED-YOLO algorithm. [PDF]

Sci Rep
Lv F, Wang R, Wang Y, Zhou F, Bian X, Guo N.   +5 more
europepmc   +1 more source