Improving WindCube® data quality, availability and TI accuracy with Availability Booster and WindCube Pure TI™

WindCube Pure TIᵀᴹ
Wind energy
New York 9AM / Paris 3PM

How much more value could you get from your WindCube data?

Wind resource assessment campaigns are increasingly pushed into harsher, cleaner, and more complex environments—exactly where lidar data availability and turbulence intensity (TI) can become limiting factors for bankable assessments.

In this webinar, Vaisala, Kjeller Vindteknikk and Nordex will present how the Availability Booster for WindCube and WindCube Pure TI™ in Compass Renewable can enhance your existing and future WindCube campaigns. You’ll see first results from around ten Nordic sites, where Kjeller Vindteknikk has analysed before/after performance of the Availability Booster and linked availability gains to long‑term wind and AEP uncertainty.

We will also introduce WindCube Pure TI, a physics‑based TI reconstruction algorithm that converts 1 Hz WindCube data into 10‑minute TI values at each measurement height, up to 400 m, enabling more accurate and consistent TI at hub height and beyond and reducing dependence on dedicated TI met masts.

What will we cover?

  • How Availability Booster uses 1‑second WindCube data, cloud‑based post‑processing and neural‑network filtering (incl. 3LOS) to clean outliers, prevent unnecessary data loss and increase availability in challenging conditions
  • Nordic case‑study results from Kjeller Vindteknikk showing typical availability gains of around 10–15 percentage points and how these gains impact long‑term wind and AEP uncertainty
  • How WindCube Pure TI reconstructs 10‑minute TI across all measurement heights from high‑frequency data, correcting lidar‑specific biases to align TI with real site conditions and turbine design expectations
  • How validation across multiple sites and benchmarking against IEC / DNV enable lidar to serve as a primary TI source, reducing reliance on TI met masts and supporting turbine class selection, site suitability and load assessments, with Nordex providing practical turbine OEM use cases and requirements

This session is tailor-made for:

  • Wind resource assessment specialists
  • Measurement engineers, developers and consultants
  • Turbine OEM teams who rely on WindCube data for pre‑construction and operational assessments

Secure your seat and be among the first to learn how Availability Booster and WindCube Pure TI can boost data availability, deliver more accurate TI and directly reduce long‑term wind and AEP uncertainty in your WindCube campaigns. If you cannot join live, register anyway and we will send the recording.

 

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Webinar speakers

Andrew Black, Research and Application Engineer, Vaisala

Andrew Black

Senior Scientist, Vaisala

Andrew Hastings Black is an expert in remote sensing. His primary focus is the use of lidar for wind energy applications. During his career, he has developed new sensors and algorithms at Vaisala, contributing to the WindCube lidar, Triton sodar, and the X- and C-band weather radars. Andrew serves in the IEC 61400-15-2 and MT50 expert groups, and in the IEA Wind Task 52 “Large-Scale Deployment of Wind Lidar”. He has a BA in Physics from Tufts University and an MS in Applied Physics from Columbia University.

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Pyry Pentikäinen

Pyry Pentikäinen

Senior Advisor, Wind Energy, Kjeller Vindteknikk

Pyry Pentikäinen is a Senior Advisor at Kjeller Vindteknikk, where he works on pre‑construction wind energy assessments with a focus on lidar‑based measurements, icing impacts and atmospheric modelling. With a PhD in atmospheric lidars and hands‑on experience from numerous Nordic projects, he brings deep expertise in applying advanced lidar analysis methods to reduce uncertainty in wind resource and turbine performance assessments.

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Dirk Steudel

Dirk Steudel

Senior Expert Engineer Wind and Site, Nordex Group

Dirk Steudel is Senior Expert Engineer in the Turbine Load Calculation team at Nordex Energy, where he specialises in aeroelastic load simulations and the integration of lidar‑based measurements into turbine design and verification. He has co‑authored peer‑reviewed studies on dynamic wake meandering model validation and nacelle mounted lidar applications for load and power performance assessment. He is actively involved in industry discussions on KPIs for lidar‑based turbulence intensity.

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