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Swedish SLU Forest Map – Tree Heights Now Available Directly in windPRO

Forest height data for Sweden derived from the SLU Forest Map of Sweden is now available as an online data service for users of windPRO 3.2. If you are working at forested sites, you can use these forest height data as input for the dedicated forest models – that is within the displacement height calculator […]

Norwegian Elevation Models – Now Available Directly in windPRO

The national digital elevation models for Norway – released by the Norwegian ‘Kartverket’ – are now available as a part of the online data service for users of windPRO 3.2. In windPRO you can access the digital elevation model (DTM10) – as well as the digital surface model (DOM10). The data is available in a […]

Saxony-Anhalt High Quality DTMs – 5m and 20m – Now in windPRO

Two high-quality digital terrain models (DTM’s) in 5m and 20m resolution covering the German state of Saxony-Anhalt have now been added to the online-services of windPRO 3.4. These elevation models are derived from a higher resolution model (2m grid-resolution), recently released from the Landesamtes für Vermessung und Geoinformation Sachsen-Anhalt (LVermGeo). Source data originates from years […]

Danish KU Forest Inventory – Tree Heights Now Available Directly in windPRO

A map of the forest heights for Denmark – derived from a dataset developed by the Danish University of Copenhagen – Department of Geosciences and Natural Resource Management – is now available as an online data service for users of windPRO 3.3+. If you are working at forested sites in Denmark, then you can use […]

Now in windPRO – new wake model: WakeBlaster

windPRO now includes an option to run WakeBlaster, a new wake model. WakeBlaster is a numerical solver of the 3-dimensional Reynolds averaged Navier Stokes equations, specialized in wind turbine wakes. But what is new? No more superposition: Instead of modelling single turbine wakes and superimposing them empirically, WakeBlaster models the whole waked wind field in […]

Now in windPRO – Near-Global Forest Canopy Heights

The ”Near-Global Forest Canopy Heights GLAD” dataset is developed from a fusion of GEDI lidar data (Global Ecosystem Dynamics Investigation Lidar) and Landsat imagery data. It has a near-global spatial coverage ranging from latitudes S52.0 to N52.0, and it reflects the 95% relative height of the canopy with a 25m ground area footprint. The GEDI […]

Nouvelle base de données sur l’éolien en France / New French turbine data

(English below) La base de données sur l’éolien terrestre en France est maintenant disponible au téléchargement dans windPRO! Les informations extraites de la base de données OREOL concernent les éoliennes de plus de 50 m, déjà mise en service ou projetées. Les données proviennent de la source publiquement disponible. Dès aujourd’hui, ces informations peuvent être […]

energyPRO 4.9 – new MODULE released!

Discover the Autumn Update of energyPRO 4.9! We’re thrilled to announce the latest release of energyPRO 4.9. The spotlight feature: OPTIMIZE! With OPTIMIZE, you can now perform sizing optimization for energy conversion units and storage components within your model, empowering you to make more informed decisions. But that’s not all! We’ve added the ability to […]

Which displacement heights are you applying for your in-forest wind farm?

ETH forest canopy heights – global coverage and high-resolution – now in windPRO! If you are analysing wind farms at forested sites in any part of the world, then a high-resolution canopy height dataset is now available: “Global Sentinel-2 10m Canopy Height (ETH Zurich)”. The dataset is created by a team of ETH researchers using […]

Tired of waiting for updated reference data? ERA5(T) is now freely available in windPRO to fast-track your decisions!

ERA5(T) in windPRO is a globally comprehensive reference wind dataset with minimal lag in time. Traditional reference datasets, such as ERA5, MERRA2 or ERA-Interim, are available with a lag to real-time of one to three months, which typically results in compromising the data quality and delaying decision making up to months. With the release of […]