• DocumentCode
    147688
  • Title

    Evaluation of wind energy resources and wind power generation based on SAR-retrieved wind in the eastern sea area of Yancheng, Jiangsu, China

  • Author

    Jie Jiang ; Yongxue Liu ; Saishuai Zhao ; Minxi Zhou ; Wangyu Cheng ; Manchun Li

  • Author_Institution
    Jiangsu Provincial Key Lab. of Geographic Inf. Sci. & Technol., Nanjing Univ., Nanjing, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Evaluation of wind energy resources and wind power generation can provide decision basis for wind energy construction. Based on the study area in the eastern sea area of Yancheng, 8 scenes of ERS-2 SAR images in 2007 are collected to retrieve wind field and the retrieval results are verified by QuikSCAT wind data. Then, average wind power density is figured out to evaluate wind energy resources and unit capacity of wind power generator is calculated to evaluate wind power generation. The results show that: (1) it is feasible and accurate to retrieve wind speed based on CMOD5 model; (2) regional variations of wind energy resources and wind energy storage in different seasons should be taken into account; (3) average wind power density is from 1.22 to 929.51W/m2, and wind energy resources are abundant in three areas, the unit capacity of which could reach to 442.84, 1181.02 and 1491.31 kW.
  • Keywords
    remote sensing by radar; synthetic aperture radar; wind; wind power; China; ERS-2 SAR images; Jiangsu; QuikSCAT wind data; SAR-retrieved wind; Yancheng eastern sea area; wind energy construction; wind energy resource evaluation; wind energy storage; wind power generation; ERS-2 SAR images; wind energy resources evaluation; wind field retrieval; wind power generation evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GeoInformatics), 2014 22nd International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2014.6950801
  • Filename
    6950801