• DocumentCode
    3564860
  • Title

    Development of analytical and computational models for predicting the performance of A-PEGASUS airborne electric generator

  • Author

    Anderson, Alexander A.

  • Author_Institution
    Odin Energy Works LLC, North Bend, OR, USA
  • fYear
    2014
  • Firstpage
    148
  • Lastpage
    154
  • Abstract
    Analytical and computational techniques are developed and implemented to predict the performance of an augmented airborne electric generation system featuring an augmented horizontal-axis wind turbine mounted beneath the tethered aerostat. The developed analytical model expresses the coefficient of performance in terms of four dimensionless parameters, the free stream wind speed, and the augmenter geometry. The performance prediction is performed through computational models solving the incompressible Reynolds Averaged Navier-Stokes equations with a two-equation linear eddy viscosity model, supplemented with an algorithm to calculate the performance of the augmented turbine. The models are verified through comparison the empirically derived performance of 60 W wind tunnel test model and a full scale airborne electric generation system. The computational predictions were found to be within five percent of the actual performance.
  • Keywords
    Navier-Stokes equations; electric generators; flow; wind tunnels; wind turbines; A-PEGASUS; Reynolds averaged Navier-Stokes equations; aerostat; airborne electric generation system; augmenter geometry; power 60 W; stream wind speed; two-equation linear eddy viscosity model; wind tunnel test model; wind turbine; Atmospheric modeling; Computational modeling; Mathematical model; Predictive models; Resistance; Rotors; Wind turbines; Airborne Generation; Augmented Wind Turbines; Distributed Generation; Renewable Energy; Wind Electric Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Sustainability (SusTech), 2014 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/SusTech.2014.7046235
  • Filename
    7046235