Wind farm performance analytics, from fast diagnosis to advanced optimization.
Engineering-driven diagnostics for hidden losses in wind farm data, including wake effects, vane misalignment, and yaw calibration issues.
For operators, asset managers, and technical teams.
Services
Alignment identifies hidden losses that may be easy to fix,
Custom answers more complex questions with tailored methods, and
dewake is our wake-steering solution for selected wind farms.
A fast, SCADA-based check to identify hidden underperformance including yaw and vane calibration issues. Condcuted by experts, no standardized performance dashboards.
Best when you want a clear first answer with low setup effort.
A bespoke data- and model-driven deep dive for specific technical questions such as wake losses, long-term deterioration, historical wind conditions, or uplift verification.
Best when the question needs a tailored method.
ventodyne's wake-steering wind farm control solution.
Best for selected wind farms after the opportunity and constraints are understood.
Selected field results
(published with permission)
Wake model validation across 50+ turbines
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SCADA measurements and wake-model predictions showed close agreement across wind direction, wind speed, and turbulence bins.
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Upstream wakes caused production losses of more than 50% in some operating conditions.
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A persistent mismatch near 90 degrees helped identify a missing substation in the model setup.
The validated model supports wake-loss attribution, benchmarking, long-term wind condition assessment, operational studies, and advanced control work.
Controlled vane-correction toggle test
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A roughly 10 degree wind vane miscalibration was corrected on one turbine and tested through controlled on/off operation over several weeks.
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Periods with the correction enabled delivered more than 1% higher production compared with reference turbines.
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Fixed on/off intervals helped separate the correction effect from changing ambient conditions.
Once quantified, the issue can often be corrected through a calibration parameter update; the main challenge is reliable fleet-scale detection from SCADA data.
Wake-steering in a commercial wind farm
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Wake-steering implementation at the Withernwick wind farm, an onshore site with 13 closely spaced turbines.
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Two turbines were equipped with a wake-steering park controller and tested through repeated controller on/off operation.
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Measured production gains aligned with the pre-deployment AEP estimate, supporting both the control method and the prediction workflow.
How we approach wind farm performance
Many production-relevant issues are not obvious in standard monitoring views, so we combine wind farm physics, SCADA analysis, and practical engineering judgment to identify meaningful actions — from simple operational fixes to advanced control where justified.
What standard dashboards miss
Many production-relevant issues are not directly visible in standard operator dashboards. Hidden underperformance, calibration drift, and wake-related effects often need a more targeted evaluation before they become clear.
Flexible analytical tools
We use sophisticated and adaptable tools for SCADA data evaluation and wind farm modeling. This allows us to move from standardized diagnostics to more customized investigations when a wind farm requires a deeper answer.
Deep technical understanding
ventodyne brings strong expertise in wind turbine and wind farm technology, with particular depth in yaw misalignment, wake effects, and their impact on production. That technical background helps us interpret data in the right physical context.
Advanced optimization where it fits
For selected parks, we also offer dewake, an advanced wake-steering wind farm control service. That means we can support clients from first diagnosis to operational optimization — when the opportunity is strong enough to justify it.
Actionable diagnostic
Our goal is not only to detect performance issues, but to translate them into practical next steps. Based on past projects and technical experience, we aim to identify issues and propose fixes that are as simple and implementable as the situation allows.
Independent and technically rigorous
We work from physics, data, and technical judgment rather than predefined assumptions. As an independent specialist team, our focus is on technically sound decisions and long-term customer value.
About
ventodyne is a TU Munich spin-off founded in 2022 by Dr.-Ing. Johannes Schreiber and Prof. Dr. Carlo L. Bottasso.
We help wind farm owners and operators improve revenue through technically rigorous wind farm analytics, operational diagnostics, and advanced control solutions.
As an independent founder-led company, we focus on scientific integrity, practical relevance, and long-term customer value.
Why ventodyne?
ventodyne emphasizes technical rigor, scientific integrity, repeatability, and transparency rather than shortcuts or inflated claims. The practical aim is to give operators an independent second view on their SCADA data and wind farm behavior that holds up under real operating conditions.
Contact
Have we caught your interest? Write an email or simply use the online form.
We look forward to hearing from you!