Latest version of Global Wind Atlas includes grid infrastructure

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  • DTU Wind and Energy Systems has released the latest version of their Global Wind Atlas.
  • Version 3.4 boasts a new global layer of grid infrastructure and is a great tool for project developers, IPP’s, investors and policy makers to determine potential high-wind areas suitable for wind farm developers.
  • The useful tool is made possible by funding provided by the World Bank’s Energy Sector Management Assistance Program (ESMAP) as well as advice and review provided by its staff and consultants.

The new global layer maps electricity transmission grids for different voltage levels, making it easier to determine grid feed in points and capacity for wind projects. It is now possible to show a map of the electricity grid. It can be turned on as a background layer, which can be found in the map controls, in the top right corner of the GWA map. The roads and labels background layers are also updated to show more detailed elements for referencing.

Very handy tool

The Global Wind Atlas facilitates online queries and provides downloadable datasets based on the latest input data and modeling methodologies

  • Users can access the latest data, tools, and methodologies
  • Users can download GIS data for all layers at a point, in a custom area, or within a country or first adminstrative unit
  • Users can download WAsP LIB files

The Global Wind Atlas allows users to download high-resolution maps showing global, country, and first adminstrative unit wind resources

  • Mean wind speed and mean wind power density maps for the world and a selection of countries and first adminstrative units can be downloaded as high-resolution maps in PNG and PDF format.
  • The map generation tool provides on-the-fly generation of customized maps of capacity factor, mean wind power density, mean wind speed, orography and roughness length, in PDF format.
  • The energy yield calculator tool allows users to assess the energy yield of a generic or custom wind turbine by creating downloadable GIS-data for annual energy production, capacity factor, or full load hours.

Link to the full list of key features HERE 

Author: Bryan Groenendaal


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