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  1. The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then perform preliminary calculations.

    • Datasets

      The three IEC Class map layers included in the GWA are...

    • Global Wind Atlas

      Global Wind Atlas - Global Wind Atlas

    • Contact

      Contact - Global Wind Atlas

    • Introduction

      A Product of International Collaboration. The current...

    • Validation

      DTU Wind Energy has carried out a validation of the Global...

    • Methodology

      The concept of a generalized wind climate is a key element...

    • Toggle Datapanel

      Toggle Datapanel - Global Wind Atlas

  2. 115 of the world’s countries are deemed to have technically extractable offshore wind potential -- just over 71,000 GW. Only around 20,000 GW of that total is in shallower waters suited to fixed offshore wind turbines; the rest is suited to floating offshore wind.

  3. 14 Νοε 2019 · Our interactive map features offshore wind technical potential, classified by water depth and distance from shore, the latest offshore wind projects, and population density. See below for a description of the methodology used to produce this unique online resource.

  4. An interactive map of over 1800+ Global Offshore Wind Farms showing key statistics, companies involved, the offshore wind resource, cabling infrastructure and vessel locations.

  5. 13 countries. Are you a member of WindEurope? Access a more in-depth version of this tool which includes projects planned and under permitting process, turbine supppliers and other wind farm characteristics for European projects!

  6. The multi-stakeholder Ocean Renewable Energy Action Coalition commissioned a series of maps which demonstrate the fixed and floating offshore wind potential within 200 km of the shoreline of countries and geographies around the world.

  7. 28 Νοε 2017 · The new tool is based on the latest modeling technologies, which combine wind climate data with high-resolution terrain information—factors that can influence the wind, such as hills or valleys—and provides wind climate data at a 1km scale. This yields more reliable information on wind potential.

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