We use the recently introduced coupled wake boundary layer (CWBL) model to predict the e ect of turbulence intensity on the performance of a wind farm. The CWBL model combines a standard wake model with a \top-down" approach to get improved predictions for the power output compared to a stand-alone wake model. Here we compare the CWBL model results for di erent turbulence intensities with the Horns Rev eld measurements by Hansen et al., Wind Energy 15, 183196 (2012). We show that the main trends as function of the turbulence intensity are captured very well by the model and discuss di erences between the eld measurements and model results based on comparisons with LES results from Wu and Port e-Agel, Renewable Energy 75, 945-955 (2015)
This thesis work presents experimental results on the effects of different ambient turbulence condit...
The effects of turbine aerodynamics and response characteristics of the atmospheric boundary layer o...
In this study, a new analytical approach is presented and validated to predict wind farm power produ...
We use the recently introduced coupled wake boundary layer (CWBL) model to predict the e ect of turb...
The Coupled Wake Boundary Layer (CWBL) model combines a classical wake model with a ``top-down'' bou...
We present and test a coupled wake boundary layer (CWBL) model that describes the distribution of th...
We describe a generalization of the coupled wake boundary layer (CWBL) model for wind farms that can...
Modelling the wake effect generated by wind turbines is an essential part for calcu- lating a wind f...
We study wind farm wakes with large eddy simulations (LES) and use these results for the evaluation ...
Wind farm power production is known to be strongly affected by turbine wake effects. The purpose of ...
The creation of wakes, with unique turbulence charac-teristics, downstream of turbines significantly...
This paper sets out to analyze the observed wake effect at Block Island Wind Farm. A comparison is m...
Turbulence in the atmospheric boundary layer mitigates wake losses between turbines and is critical ...
This work compares the predictive performance of RANS and LES solver in capturing the effect of terr...
A major objective of the ENDOW project is to evaluate the performance of wake models in offshore win...
This thesis work presents experimental results on the effects of different ambient turbulence condit...
The effects of turbine aerodynamics and response characteristics of the atmospheric boundary layer o...
In this study, a new analytical approach is presented and validated to predict wind farm power produ...
We use the recently introduced coupled wake boundary layer (CWBL) model to predict the e ect of turb...
The Coupled Wake Boundary Layer (CWBL) model combines a classical wake model with a ``top-down'' bou...
We present and test a coupled wake boundary layer (CWBL) model that describes the distribution of th...
We describe a generalization of the coupled wake boundary layer (CWBL) model for wind farms that can...
Modelling the wake effect generated by wind turbines is an essential part for calcu- lating a wind f...
We study wind farm wakes with large eddy simulations (LES) and use these results for the evaluation ...
Wind farm power production is known to be strongly affected by turbine wake effects. The purpose of ...
The creation of wakes, with unique turbulence charac-teristics, downstream of turbines significantly...
This paper sets out to analyze the observed wake effect at Block Island Wind Farm. A comparison is m...
Turbulence in the atmospheric boundary layer mitigates wake losses between turbines and is critical ...
This work compares the predictive performance of RANS and LES solver in capturing the effect of terr...
A major objective of the ENDOW project is to evaluate the performance of wake models in offshore win...
This thesis work presents experimental results on the effects of different ambient turbulence condit...
The effects of turbine aerodynamics and response characteristics of the atmospheric boundary layer o...
In this study, a new analytical approach is presented and validated to predict wind farm power produ...