Abstract
Abstract
Highlights
Fast running engineering wake models are arguably still the most popular tools in the wind energy industry for the design and active control of wind farms due to their simplicity and low computational cost
An approach that does not rely on the superposition of single turbine wake (STW) models is adapted based on a holistic view of turbines in a wind farm
The developed model is used to predict the flow distribution in each of the two wind farms shown in figure 4, and the results are compared with the large-eddy simulations (LES) data
Summary
Fast running engineering (i.e. control-oriented) wake models are arguably still the most popular tools in the wind energy industry for the design and active control of wind farms due to their simplicity and low computational cost
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