The large scale of modern wind turbines has created a disconnect between laboratory experiments and field-scale operation. Due to the added complexity of a non-dimensional frequency, based on the turbine angular velocity, conventional wind tunnel facilities are not able to match all non-dimensional parameters between laboratory and field-scale. Thus, simulation modeling is the only way to gauge wake effects.
Collective wind farm flow control, where wind turbines are operated in an individually suboptimal strategy to benefit the aggregate farm, has demonstrated potential to reduce wake interactions and increase farm energy production. However, existing wake models used for flow control often estimate the thrust and power of yaw misaligned turbines using simplified empirical expressions which require expensive calibration data and do not accurately extrapolate between turbine models.
TurbineHub Solutions for Improved Wake Modeling
TurbineHub seeks to incorporate the most cutting-edge wake modeling calculations available into our streamlined geoprocessing toolbox with support from the Howland Lab at MIT
All incorporated within in our industry leading wind energy database to leverage locational data with advanced economic modeling. For an all-in-one data experience to influence more intelligent development and investment.