Assess, deploy, and verify wake-steering for your wind farm.
With windalytics for dewake, we first assess the wake-steering opportunity at your wind farm, identify where the value lies, and determine which turbines should be included.
If the case is strong, dewake implements a tailored wind farm control solution and verifies the energy gain under real operating conditions.
About wakes and wake-steering
-
Upstream turbines create wakes that reduce downstream performance.
-
Wake-steering slightly misaligns selected turbines to deflect these wakes.
-
The result is higher total wind farm energy production.
-
The stronger the wake effects in a park, the greater the potential benefit of wake-steering.
Figure credits: wind tunnel measurements of a joint TUM, DTU, ForWind, POLIMI experiment (doi:10.1088/1742-6596/753/3/032006)
windalytics for dewake
Use existing wind farm data to quantify the opportunity before control deployment.
-
Calibrate a wind farm model from site data (ideally refined with SCADA data).
-
Estimate the AEP potential of wake-steering for your park.
-
Identify which turbines are most relevant for control.
This step helps answer the key commercial question first: is wake-steering likely to create enough value at this site to justify implementation?
What the pre-analysis delivers
A practical decision basis for whether and where to implement wake-steering.
-
Expected production uplift at park level.
-
Prioritized turbines and operating conditions of interest.
-
Optimized yaw misalignment setpoints for controller use.
-
A clearer basis for deployment planning and business case discussion.
Efficiency breakdown by turbine. Without wakes, all turbines would have an efficiency of 100%. Arrows indicate efficiency gains/losses due to wind farm control.
Methodology confidence
The methodology was reviewed by DNV and found generally suitable for estimating annual energy production gain from wind farm control.
dewake
In partnership with the park operator, we deploy dewake, our wake-steering controller.
How dewake works:
-
Estimate current wind conditions from live park data.
-
Select the corresponding optimized turbine setpoints.
-
Dispatch setpoints to the turbines during operation.
-
Work with the existing yaw control architecture through an edge-device approach (external partner).
dewake translates the pre-analysis into real-time wind farm control without requiring a redesign of the turbine yaw controller itself.
Field verification
Measure the impact of wake-steering.
-
Quantify performance through controlled on/off toggle testing.
-
Compare controller “on” and “off” periods over extended operation.
-
Use reference turbines to improve robustness against changing ambient conditions.
-
Obtain a low-uncertainty estimate of the achieved AEP gain.
Commercial demonstration of wake-steering
ventodyne has successfully boosted AEP by wind farm control at a commercial wind farm in collaboration with Energiekontor AG.