Results 161 to 170 of about 15,231 (275)

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

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 Investigations on the Performance Degradation of a Vertical Axis Wind Turbine Operating in Dusty Environment

Rapid increase in global energy requirements has resulted in considerable attention towards energy generation from the renewable energy sources. In order to meet renewable energy targets, harnessing energy from all available resources including those ...
Asim, Taimoor, Mishra, Rakesh
core  

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

Thermal Decomposition Mechanism and Product Distribution Control of Retired Wind Turbine Blades Catalyzed by Metals. [PDF]

ACS Omega
Teng Y, Song Z, Liu D, Sun J, Gao Y, Zhu J, Song Y.   +6 more
europepmc   +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-lifecycle Assessment of Close-loop Recyclable Wind Turbine Blades. [PDF]

Mater Circ Econ
Pender K, Romoli F, Fuller J.
europepmc   +1 more source

Assessing Engineering Wake Models Against Operational Data: Insights From the Lillgrund Wind Farm Wake Steering Campaign

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Validating engineering wake models under real‐world operational conditions is essential for improving wind farm performance predictions. This study utilises a unique dataset from the Lillgrund offshore wind farm, collected during the Horizon 2020 TotalControl project campaign, integrating synchronous Supervisory Control and Data Acquisition ...
Diego Siguenza‐Alvarado, Matthew Harrison, Mohammadreza Mohammadi, Pragya Vishwakarma, Ervin Bossanyi, Lars Landberg, Majid Bastankhah   +6 more
wiley   +1 more source

A two-stage surface defect segmentation method for wind turbine blades based on Deeplabv3. [PDF]

Sci Rep
Li X, Tian J, Pang X, Shen L, Li H, Zheng Z.   +5 more
europepmc   +1 more source

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades-A Review. [PDF]

Sensors (Basel), 2023
Ding S, Yang C, Zhang S.
europepmc   +1 more source