• DocumentCode
    810794
  • Title

    Front Cover

  • Author

    Elliott, Dennis

  • Author_Institution
    Nat. Renewable Energy Lab., Golden, CO, USA
  • Volume
    22
  • Issue
    9
  • fYear
    2002
  • Abstract
    A major barrier to the deployment of wind energy in many regions of the world is a lack of reliable and detailed wind resource data. Availability of this data is essential for government and industry to identify wind power generation potential and to act on that knowledge. To overcome this barrier, The US National Renewable Energy Laboratory (NREL) has developed new methods to more accurately assess the wind resource and produce detailed high-resolution (1 km2) wind maps for essentially anywhere in the world. These advancements were made possible by a combination of factors, such as the release of global climatic and terrain data sets that were not previously available along with the availability of advanced tools, including geographic information systems (GIS) software and computational modeling techniques. The NREL methodology for creating regional wind resource maps integrates the global terrain and climatic data sets, GIS technology, and analytical and computational modeling techniques. As a result, updated wind assessments can now be produced with much greater accuracy and detail than was previously possible.
  • Keywords
    data analysis; geographic information systems; power engineering computing; wind power; US National Renewable Energy Laboratory; computational modeling; computational modeling techniques; geographic information systems software; global climatic data sets; global terrain data sets; high-resolution wind maps; updated wind assessments; wind power generation potential identification; wind resources assessment; Availability; Computational modeling; Geographic Information Systems; Government; Laboratories; Renewable energy resources; Software systems; Software tools; Wind energy; Wind power generation;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.1029961
  • Filename
    1029961