Today you can meet Christian Ingerslev SĆørensen, Gudrun Potzka, Peter Ritter, Robin Funk, Anders Brask and Henrik S. Pedersen at our stand. We will make sure to provide you with all the necessary information and demonstrations to showcase the capabilities and benefits the new windPRO 4.0 version as well as our other services and solutions [ā¦]
The courses take place online from 9:00-13:00 and there are different topics including āļøIntroduction to energyPRO āļøHeat network and transmission lines āļøSector coupling and PtX āļøAdvanced heat pump modelling Please read more about the course programs, price and register here.
We have scheduled a number of different online courses in September. The āIntroduction to energyPROā course you will learn how to use energyPRO and for which type of analysis our software solution can be used for. Through examples, we guide you through how to set up a model including all the different types of elements [ā¦]
ETH forest canopy heights ā global coverage and high-resolution ā 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: āGlobal Sentinel-2 10m Canopy Height (ETH Zurich)ā. The dataset is created by a team of ETH researchers using [ā¦]
Two additional LiDAR based elevation digital terrain models (DTMs) have been released within Great Britain, which means that by now Wales, Scotland and England are all partly covered by high-resolution, high-quality elevation data in windPRO. These two new datasets come in grid-resolutions of 5m (Scotland) and 10m (England). This data-release is part of a larger [ā¦]
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 [ā¦]
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 [ā¦]
Many of our windPRO users are improving their modelling by integrating forest height data as input for the dedicated forest models in windPRO: that is within the displacement height calculator and the Objective Roughness Approach (ORA). Forest height data for parts of Norway ā derived from the Norwegian SR16 Forest Map ā is now available [ā¦]
EMD has evaluated the annual tree-growth using the recent Finnish LUKE data from 2021 comparing it to 2015 data. As seen from graph below, average tree growth is positive for trees with a height to about 15m, then it becomes negative (on average) due to tree-felling and active forestry. Only areas marked with āForestā as [ā¦]
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 [ā¦]