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windPRO in European Waters update

We have updated the windPRO online-data services with the newest version of the ā€œEMODnet Digital Bathymetry (DTM)ā€. This dataset is a combination of many surveys that cover the water depths for Europeā€™s sea basins. The 2022-release is a revised version of the 2020, 2018 and 2016 datasets ā€“ with more surveys included (21937 in total [ā€¦]

Introducing SARAH-3: High-Performance Solar Irradiation Data for Your SOLAR-PV Calculations in windPRO and energyPRO

SARAH-3 is a climate data record from EUMETSAT CM SAF that provides high-resolution solar irradiation data for Europe and Africa. It is replacing SARAH-2 which is no longer being updated forward in time. Our online-data teamĀ has assessed this dataset: Compared to in-situ data and reference data, both SARAH datasets show a reliable and stable performance, [ā€¦]

Important notice to our windPRO, energyPRO and API users

2023-11-27@10:30-12:50: Online data services through windPRO, energyPRO and EMD-API have been down due to a network outage from our service-provider, Netic. Services have been restored, but may be unstable. Luckily this happens very rarely ā€“ but do feel free to contact our support hotline in case you experience any further issues support@emd.dk

Have you secured your seat at some of our several exciting energyPRO courses this month?

The courses take place online from 9:00-13:00 and there are different topics including āœ”ļøIntroduction to energyPRO āœ”ļøHeat network and transmission lines āœ”ļøSector coupling and PtX āœ”ļøAdvanced heat pump modelling Please read more about the course programs, price and register here.

energyPRO courses !

We have scheduled a number of different online courses in September. The ā€˜Introduction 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€¦]

Now in windPRO ā€“ Near-Global Forest Canopy Heights

The ā€Near-Global Forest Canopy Heights GLADā€ 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 [ā€¦]

energyPRO 4.9 ā€“ new MODULE released!

Discover the Autumn Update of energyPRO 4.9! Weā€™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 thatā€™s not all! Weā€™ve added the ability to [ā€¦]

GASP ā€“ The first Global Atlas of Siting Parameters and wind turbine Design Classes

GASP is a free (CC-by-4.0) global dataset in 250m resolution of resource, siting parameters and expected wind turbine design classes ā€“ further details on the GASP dataset can be found here. windPRO 3.5 provides easy download of GASP data as resource files, which include the siting parameters, that can be used in park calculations as [ā€¦]

Nouvelle base de donnĆ©es sur lā€™Ć©olien en France / New French turbine data

(English below) La base de donnĆ©es sur lā€™Ć©olien terrestre en France est maintenant disponible au tĆ©lĆ©chargement dans windPRO! Les informations extraites de la base de donnĆ©es OREOL concernent les Ć©oliennes de plus de 50 m, dĆ©jĆ  mise en service ou projetĆ©es. Les donnĆ©es proviennent de la source publiquement disponible. DĆØs aujourdā€™hui, ces informations peuvent ĆŖtre [ā€¦]

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

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: ā€œGlobal Sentinel-2 10m Canopy Height (ETH Zurich)ā€. The dataset is created by a team of ETH researchers using [ā€¦]