Usage of Parameterized Fatigue Spectra and Physics-Based Systems Engineering Models for Wind Turbine Component Sizing: Preprint

Yi Guo, Taylor Parsons, Paul Veers, Katherine Dykes, Rick Damiani

Research output: Contribution to conferencePaper

Abstract

Software models that use design-level input variables and physics-based engineering analysis for estimating the mass and geometrical properties of components in large-scale machinery can be very useful for analyzing design trade-offs in complex systems. This study uses DriveSE, an OpenMDAO-based drivetrain model that uses stress and deflection criteria to size drivetrain components within a geared, upwind wind turbine. Because a full lifetime fatigue load spectrum can only be defined using computationally-expensive simulations in programs such as FAST, a parameterized fatigue loads spectrum that depends on wind conditions, rotor diameter, and turbine design life has been implemented. The parameterized fatigue spectrum is only used in this paper to demonstrate the proposed fatigue analysis approach. This paper details a three-part investigation of the parameterized approach and a comparison of the DriveSE model with and without fatigue analysis on the main shaft system. It compares loads from three turbines of varying size and determines if and when fatigue governs drivetrain sizing compared to extreme load-driven design. It also investigates the model's sensitivity to shaft material parameters. The intent of this paper is to demonstrate how fatigue considerations in addition to extreme loads can be brought into a system engineering optimization.
Original languageAmerican English
Number of pages17
StatePublished - 2016
EventAmerican Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (SciTech 2016) - San Diego, California
Duration: 4 Jan 20168 Jan 2016

Conference

ConferenceAmerican Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (SciTech 2016)
CitySan Diego, California
Period4/01/168/01/16

NREL Publication Number

  • NREL/CP-5000-65515

Keywords

  • DriveSE
  • drivetrain
  • fast
  • modeling
  • NREL
  • OpenMDAO
  • simulation
  • wind turbine

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