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Improved Prediction of Aerodynamic Loss Propagation as Entropy Rise in Wind Turbines Using Multifidelity Analysis

Author

Listed:
  • Kiran Siddappaji

    (Department of Aerospace Engineering, University of Cincinnati, Cincinnati, OH 45221, USA)

  • Mark Turner

    (Department of Aerospace Engineering, University of Cincinnati, Cincinnati, OH 45221, USA)

Abstract

Several physics-based enhancements are embedded in a low-fidelity general unducted rotor design analysis tool developed, py_BEM, including the local Reynolds number effect, rotational corrections to airfoil polar, stall delay model, high induction factor correction, polar at large angle of attack, exergetic efficiency calculation and momentum-based loss. A wind turbine rotor is analyzed in high fidelity designed from py_BEM using a 3D blade generator. It is a design derived from the NREL Phase VI rotor. Three design variations are analyzed using steady 3D CFD solutions to demonstrate the effect of geometry on aerodynamics. S809 and NACA 2420 airfoil properties are used for calculating the aerodynamic loading. Momentum, vorticity and energy transport are explained in depth and connected to entropy production as a measure of performance loss. KE dissipation downstream of the rotor is shown to be a significant contributor of entropy rise. Wake analysis demonstrates mixing with the free stream flow, which begins after 3 diameters downstream of the rotor and extends to about 25 diameters until the decay is very small. Vorticity dynamics is investigated using a boundary vorticity flux technique to demonstrate the relationship between streamwise vorticity and lift generated in boundary layers. Drag components are accounted as well. It is demonstrated using rothalpy that shaft power is not only torque multiplied by rotational velocity but a viscous power loss term must also be included. A multifidelity analysis of wind turbine aerodynamics is demonstrated by capturing flow physics at several levels.

Suggested Citation

  • Kiran Siddappaji & Mark Turner, 2022. "Improved Prediction of Aerodynamic Loss Propagation as Entropy Rise in Wind Turbines Using Multifidelity Analysis," Energies, MDPI, vol. 15(11), pages 1-44, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3935-:d:824853
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    References listed on IDEAS

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    1. Alina Fazylova & Baurzhan Tultayev & Teodor Iliev & Ivaylo Stoyanov & Ivan Beloev, 2023. "Development of a Control Unit for the Angle of Attack of a Vertically Axial Wind Turbine," Energies, MDPI, vol. 16(13), pages 1-20, July.

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