• DocumentCode
    676617
  • Title

    Research on the wind resource assessment in mountainous complex terrains based on ArcGIS

  • Author

    Hua Zhang ; Haiqing Ou ; Yu Zhang ; Xiaoling Zhu

  • Author_Institution
    Renewable Energy Sch., North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With continuing large-scale development of wind power, the mountainous area, which is relatively rich in wind power resource and complex in terrain, will be the focus of wind power development. As a result, how to evaluate the wind energy resource scientifically is important to the development of wind power in mountainous area. In order to harness the wind energy resource of Suichuan area in Jiangxi province reasonably, this paper utilizes wind speed statistics from 1999 to 2012, which are acquired from five meteorological stations around Suichuan area ,employs the interpolation function in ArcGIS statistical analysis module to obtain the wind speed distribution and the average wind power density distribution, and then compares the interpolated values with which acquired through anemometer tower and Suichuan meteorological station. The conclusion of this paper will provide support to wind energy resource assessment and the planning of complex wind farm.
  • Keywords
    geographic information systems; power engineering computing; statistical analysis; wind power plants; ArcGIS statistical analysis module; Jiangxi province; Suichuan meteorological station; anemometer tower; average wind power density distribution; complex wind farm planning; interpolation function; mountainous complex terrains; wind energy resource assessment; wind power resource; wind resource assessment; wind speed distribution; Geographic Information System; Interpolation; Wind power;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1829
  • Filename
    6718740