Results 1 to 10 of about 221,361 (152)

An Analytical Model for the Effect of Vertical Wind Veer on Wind Turbine Wakes [PDF]

open access: yesEnergies, 2018
In this study, an analytical wake model for predicting the mean velocity field downstream of a wind turbine under veering incoming wind is systematically derived and validated.
Mahdi Abkar   +2 more
doaj   +3 more sources

Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment [PDF]

open access: yesWind Energy Science, 2023
Data-driven wake models have recently shown a high accuracy in reproducing wake characteristics from numerical data sets. This study used wake measurements from a lidar-equipped commercial wind turbine and inflow measurements from a nearby meteorological
B. A. M. Sengers   +4 more
doaj   +1 more source

A physically interpretable data-driven surrogate model for wake steering [PDF]

open access: yesWind Energy Science, 2022
Wake steering models for control purposes are typically based on analytical wake descriptions tuned to match experimental or numerical data. This study explores whether a data-driven surrogate model with a high degree of physical interpretation can ...
B. A. M. Sengers   +4 more
doaj   +1 more source

A New Streamwise Scaling for Wind Turbine Wake Modeling in the Atmospheric Boundary Layer

open access: yesEnergies, 2022
In this study, we aim to investigate if there is a scaling of the streamwise distance from a wind turbine that leads to a collapse of the mean wake velocity deficit under different ambient turbulence levels.
Dara Vahidi, Fernando Porté-Agel
doaj   +1 more source

Upward Shift of Wind Turbine Wakes in Large Wind Farms

open access: yesEnergies, 2023
A detailed description of wake characteristics is essential for optimizing wind farm performance. Compared with the wake of a stand-alone wind turbine, less attention has been paid to wind turbine wakes in large wind farms.
Zewei Wang, Xiaolei Yang
doaj   +1 more source

Anisotropic double‐Gaussian analytical wake model for an isolated horizontal‐axis wind turbine

open access: yesEnergy Science & Engineering, 2022
An anisotropic double Gaussian (DG) model for analytical wake modeling to predict the streamwise wake velocity behind an isolated non‐yawed horizontal‐axis wind turbine is proposed.
Qidun M. B. Soesanto   +2 more
doaj   +1 more source

Application of the Townsend–George theory for free shear flows to single and double wind turbine wakes – a wind tunnel study [PDF]

open access: yesWind Energy Science, 2022
The evolution of the mean velocity and the turbulence downstream of wind turbine wakes within the atmospheric boundary layer has been studied over the past decades, but an analytical description is still missing.
I. Neunaber   +3 more
doaj   +1 more source

Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models [PDF]

open access: yesWind Energy Science, 2020
Wake measurements of a scanning Doppler lidar mounted on the nacelle of a full-scale wind turbine during a wake-steering experiment were used for the characterization of the wake flow, the evaluation of the wake-steering set-up, and the validation of ...
P. Brugger   +10 more
doaj   +1 more source

Towards higher accuracy in wind farm deficit decay modelling – a comparison

open access: yesMeteorologische Zeitschrift, 2023
Wind farm wake behaviour and forecasting is gaining the importance recently. It is especially relevant in the German Bight where space for wind farm clusters is limited, and wind farm wake lengths of up to 60 km have been measured.
Moritz Mauz   +5 more
doaj   +1 more source

A linear wake expansion function for the double‐Gaussian analytical wake model

open access: yesEnergy Science & Engineering, 2023
The double‐Gaussian (DG) approach for analytical wake modeling leads to a better understanding of the wake transition mechanism within a full‐wake region behind a non‐yawed horizontal‐axis wind turbine (HAWT).
Qidun Maulana Binu Soesanto   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy