LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes

L Zhan, S Letizia, G Valerio Iungo - Wind Energy, 2020 - Wiley Online Library
Wind measurements were performed with the UTD mobile LiDAR station for an onshore
wind farm located in Texas with the aim of characterizing evolution of wind‐turbine wakes for …

A wake modeling paradigm for wind farm design and control

CR Shapiro, GM Starke, C Meneveau, DF Gayme - Energies, 2019 - mdpi.com
Wake models play an integral role in wind farm layout optimization and operations where
associated design and control decisions are only as good as the underlying wake model …

Data-driven wind turbine wake modeling via probabilistic machine learning

S Ashwin Renganathan, R Maulik, S Letizia… - Neural Computing and …, 2022 - Springer
Wind farm design primarily depends on the variability of the wind turbine wake flows to the
atmospheric wind conditions and the interaction between wakes. Physics-based models that …

Recovery in the wake of in-line axial-flow rotors

A Posa, R Broglia, E Balaras - Physics of Fluids, 2022 - pubs.aip.org
The flow around the rotor of an axial turbine, operating in the wake of an upstream one, is
resolved using large-eddy simulation on a cylindrical grid consisting of 3.8 billion points …

[HTML][HTML] The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows

LA Martínez-Tossas, J King, E Quon… - Wind Energy …, 2021 - wes.copernicus.org
Wind turbine wake models typically require approximations, such as wake superposition
and deflection models, to accurately describe wake physics. However, capturing the …

Filtered actuator disks: Theory and application to wind turbine models in large eddy simulation

CR Shapiro, DF Gayme, C Meneveau - Wind Energy, 2019 - Wiley Online Library
The actuator disk model (ADM) continues to be a popular wind turbine representation in
large eddy simulations (LES) of large wind farms. Computational restrictions typically limit …

[HTML][HTML] Optimal tuning of engineering wake models through lidar measurements

L Zhan, S Letizia, GV Iungo - Wind Energy Science, 2020 - wes.copernicus.org
Engineering wake models provide the invaluable advantage to predict wind turbine wakes,
power capture, and, in turn, annual energy production for an entire wind farm with very low …

Characterization of the turbulent wake of an axial-flow hydrokinetic turbine via large-eddy simulation

A Posa, R Broglia - Computers & Fluids, 2021 - Elsevier
Abstract Large-Eddy Simulation on a grid composed of about two billion points is utilized to
characterize the turbulent wake of an axial-flow hydrokinetic turbine. The dominant role of …

Augmenting insights from wind turbine data through data-driven approaches

C Moss, R Maulik, GV Iungo - Applied Energy, 2024 - Elsevier
Data-driven techniques can enable enhanced insights into wind turbine operations by
efficiently extracting information from turbine data. This work outlines a data-driven strategy …

[HTML][HTML] The Jensen wind farm parameterization

Y Ma, CL Archer, A Vasel-Be-Hagh - Wind Energy Science, 2022 - wes.copernicus.org
Wind farm power production is known to be significantly affected by turbine wakes. When
mesoscale numerical models are used to predict power production, the turbine wakes …