• DocumentCode
    2133535
  • Title

    Performance analysis of lidar for smart wind turbines

  • Author

    Liu, Xian ; Wu, Hsiao-Chun

  • Author_Institution
    Department of Systems Engineering, University of Arkansas at Little Rock, USA
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    758
  • Lastpage
    763
  • Abstract
    In the technology of smart wind turbine, one of the fundamental requirements is the availability of real-time data of wind speed. The lidar anemometry has several advantages over the conventional ones, especially in the remote marine environment. Thus it may become an important component in the future offshore wind farms. Toward practical applications, the impact of atmospheric interference on optical signals must be well understood first. In this paper, the performance of a generic lidar subject to turbulence and fog is investigated. Several closed-form metrics for evaluating performance are derived. Numerical examples are presented.
  • Keywords
    Fading; Integrated optics; Laser radar; Optical refraction; Signal to noise ratio; Smart grids; Wind turbines; Fading channels; lidar; smart grid; smart wind turbine; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248413
  • Filename
    7248413