Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models

Abstract

This paper presents a comparison of two methods to represent variable blade inertia in two codes for aero-servo-elastic simulations of wind turbines: the nonlinear aeroelastic multi-body model HAWC2 and the nonlinear geometrically exact beam model BeamDyn for OpenFAST. The main goal is to enable these tools to simulate the dynamic behavior of a wind turbine with variable blade inertia. However, current state-of-the-art load simulation tools for wind turbines cannot simulate variable blade inertia, so the source code of these tools must be modified. The validity of the modified codes is proven based on a simple beam model. The validation shows very good agreement between the modified codes of HAWC2, BeamDyn and an analytical calculation. The add-on of variable blade inertias is applied to reduce the mechanical loads of a 5-megawatt reference wind turbine with an integrated hydraulic-pneumatic flywheel in its rotor blades.

Zitieren

1.
Alhrshy L, Lippke A, Jauch C. Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models. Energies. 2023;16(16):22. doi:https://doi.org/10.3390/en16166061.
Alhrshy, L. ., Lippke, A. ., & Jauch, C. . (2023). Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models. Energies, 16(16), 22. http://doi.org/https://doi.org/10.3390/en16166061 (Original work published August 2023)
Alhrshy, Laurence, Alexander Lippke, und Clemens Jauch. (2023) 2023. „Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models“. Energies 16 (16). MDPI: 22. doi:https://doi.org/10.3390/en16166061.
Alhrshy, Laurence, Alexander Lippke, und Clemens Jauch. „Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models“. Energies 16.16 (2023): 22.
Alhrshy, Laurence, u. a. „Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models“. 2023. Energies, Bd. 16, Nr. 16, MDPI, 2023, S. 22.

Details

  • Date Published

    08/2023

  • Volume

    16

  • Number of Pages

    22

  • Type of Article

    Journal Article

  • Publisher

    MDPI