• DocumentCode
    2632295
  • Title

    Estimation of wind turbine and solar photovoltaic energy using variant sampling intervals

  • Author

    Abbes, Dhaker ; Martinez, Andre ; Champenois, Gerard ; Aubert, Jean Paul ; Kadri, Riad

  • Author_Institution
    EIGSI, La Rochelle, France
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Abstract
    In this paper, we estimate renewable energy from wind and solar for different sites. Two methods are applied in case of wind energy: Weibull distribution and direct integration methodology. In additional, influence of the data sampling interval is studied. Results show that the computational method based on the integration of the power is more accurate. Also, it is shown that the hourly time resolution provides satisfactory accuracy in wind and solar resource estimation, in comparison with one minute´s resolution. Results allow better design for hybrid systems (wind and photovoltaic energy). Moreover, Data acquisitions are minimized. A shorter time of treatment and less expensive measurement equipments are required.
  • Keywords
    Weibull distribution; photovoltaic power systems; solar power stations; wind turbines; Weibull distribution; renewable energy; solar photovoltaic energy; variant sampling intervals; wind turbine estimation; Energy capture; Estimation; Photovoltaic systems; Weibull distribution; Wind energy; Wind speed; Computational method; Data sampling interval; Energy estimation; Weibull distribution; Wind and photovoltaic power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference (EPE/PEMC), 2010 14th International
  • Conference_Location
    Ohrid
  • Print_ISBN
    978-1-4244-7856-9
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2010.5606826
  • Filename
    5606826