dewake

Why steer wakes?

Upstream turbines create wakes that reduce production downstream. Wake steering deliberately misaligns selected upstream turbines to deflect those wakes, with the aim of increasing total wind farm energy production.

The balance between upstream losses and downstream gains is site-specific. We first assess whether the opportunity is strong enough to justify implementation.

01 / Assess the potential

windalytics for dewake uses existing site information, ideally refined with SCADA data, to calibrate a wind farm model and estimate the annual energy production (AEP) potential of wake steering.

The pre-analysis delivers:

• Expected production uplift at wind farm level.
• Prioritized turbines and operating conditions for control.
• Optimized yaw misalignment setpoints.
• A basis for deployment planning and the business case.

The methodology was reviewed by DNV and found generally suitable for estimating AEP gain from wind farm control. This statement concerns the estimation methodology; it is not a guarantee of gain at any specific site.

02 / Deploy the controller

In partnership with the operator, dewake translates the assessment into real-time control:

1. Estimate wind conditions from live wind farm data.
2. Select the corresponding optimized turbine setpoints.
3. Dispatch setpoints during operation.
4. Work with the existing yaw control architecture through an edge-device approach provided with an external partner.

This approach does not require redesigning the turbine yaw controller itself.

03 / Verify in the field

We assess the effect through repeated controller-on and controller-off toggle testing over extended operation. Reference turbines help account for changes in ambient conditions and improve the robustness of the gain estimate.

The aim is a low-uncertainty assessment of achieved energy gain, with the test design and limitations made explicit.

Commercial field demonstration

ventodyne implemented wake steering at Withernwick in collaboration with Energiekontor AG. Two turbines in the 13-turbine wind farm were equipped with a park controller and tested through repeated on/off operation. Measured production gains aligned with the pre-deployment AEP estimate.

Read the case study or view the published demonstration.