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 […]
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 […]
The Swedish National Elevation Model (GSD Höjddata, grid 50+ nh) is now available as an online data service for users of windPRO 3.2. The native elevation data is stored in a 50m grid-format. This can be used directly in windPRO from the elevation grid object. If you prefer to use height contour lines, then the […]
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 […]
Over the last two years, EMD has been working on a new Solar PV module which is now ready in windPRO 3.4. In case you have never worked with solar farms before, don’t worry, the Solar PV module is straight forward to use: Digitize area to fill with panels Define panel characteristics (tilt angle, azimuth, […]
As wind energy analysts, we often find ourselves using land-cover datasets as the starting point of making our roughness classification models. Until now, the spatial resolution of the global land cover datasets has been limited to about 300m. This obviously limits the accuracy at roughness shifts (such as edges of forests, coastlines or cities).With the […]
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 […]
The “ALOS World 3D 30 m mesh (AW3D30)” dataset is a recent digital surface model (DSM) with global coverage. It is produced by JAXA – Japan’s Aerospace Exploration Agency. Now users of windPRO have direct access to the data in its 30m resolution version – along with its data-quality mask. AW3D30 was generated from data […]
Did you register for our new types of advanced windPRO courses, tailored to your specific interests and needs? ✔️ Advanced EYA in windPRO: Join our course to master advanced time-varying energy calculations. This course provides practical insights into complex aspects of data analysis, flow modelling, and losses and uncertainties. ✔️ Mechanical Load Assessment in […]
Advanced EYA in windPRO: Whether you are into curtailment strategies or green field development, this course provides practical insights into complex aspects of data analysis, flow modelling, and losses and uncertainties. Mechanical Load Assessment in windPRO: When selecting a wind turbine, its structural integrity must be sufficient for the specific wind farm location and layout. […]