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dewake - ventodyne’s wind farm control service

With dewake, our wind farm control service based on wake steering, we work with you to improve the energy production of your wind farms.

We tailor each project to the unique needs of our client’s wind farm. We develop, implement and deploy an individual wind farm control solution in partnership with the park operator. We conduct a detailed post-deployment testing and analysis activity to quantify the performance of wind farm control at the client’s park. We can optionally provide a continuous monitoring service to spot problem turbines and always ensure the best possible performance. 

dewake control logic

The dewake control logic is the core element that reduces wake effects to boost power capture. At each time step:

  • The current wind conditions at the park are estimated from SCADA data, computed from the upstream turbines that are not affected by wakes

  • Based on the estimated wind conditions, the current optimal turbine setpoints are fetched from the ones that were computed in the pre-analysis phase (see windalytics)

  • The setpoints are dispatched to the turbines, which implement the commanded yaw misalignment using their existing yaw controller together with the edge device


Edge device

The edge device of each turbine receives the optimal misalignment setpoint from the park controller, applies it to the onboard wind vane signal, and passes it to the yaw controller.

This way, the turbine –instead of pointing into the wind– points away from it by the desired misalignment angle. This implementation does not require altering the existing yaw controller.

The edge device is provided by an experienced industry partner.

Quantifying the increase in energy production 

The increase in energy production can be measured through toggle testing. In toggle testing, the controller is switched on and off at fixed time intervals over several months.

Comparing the energy captured in the “on” and “off” phases, the energy production gain can be measured.

Due to the stochastic nature of ambient conditions, the two “on” and “off” sets will in general differ in their statistics, especially for shorter testing durations. To mitigate these effects, ventodyne compares the energy production of each set to unaffected reference turbines, this way providing a reliable quantification of the AEP gain achieved.

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