• DocumentCode
    3160599
  • Title

    Study on the wind energy resources assessment in wind power generation

  • Author

    Dai Ting ; Song Bin ; Shu Sheng-wen

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    6804
  • Lastpage
    6807
  • Abstract
    The wind energy resources assessment refers to a way to confirm the possibility of establishing a wind electric field based on the observation data on wind speed and direction through wind test station, as well as the data analysis and process for related data got from the local meteorological office long-range observation. At present, there has no universal wind energy analytic software for wind electric field in the domestic market, either few correlated software exist in the global market. And the RisoWASP (Wind Atlas Analysis and Application Program) developed by Denmark Laboratory is a common use for wind energy resources assessment. This article analyzed both the advantages and disadvantages of the RisoWASP software and some powerful software in china, and together with the comprehensive reference to the advantages of other assessment software, it concluded with a relative completed assessment for wind energy resources. In addition, with a view to such characteristics as a large data process and graphic making work in the wind energy resources assessment, this article put forward a concept to develop a new wind energy resources assessment software based on both the VB and ORACLE, which results from the wind energy resources analysis according to such integrated advantages as friendly interface of VB development software, strong diagram service and data.
  • Keywords
    data analysis; electric fields; globalisation; power engineering computing; power markets; wind power; wind power plants; ORACLE; VB development software; data analysis; domestic market; global market; wind electric field; wind energy resources assessment; wind power generation; wind test station; Electric fields; Electricity; Software; Wind energy; Wind power generation; Wind speed; parameter calculation; wind energy resources assessment; wind-driven power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6009905
  • Filename
    6009905