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Title: FAST Modularization Framework for Wind Turbine Simulation: Full-System Linearization

Abstract

The wind engineering community relies on multiphysics engineering software to run nonlinear time-domain simulations e.g. for design-standards-based loads analysis. Although most physics involved in wind energy are nonlinear, linearization of the underlying nonlinear system equations is often advantageous to understand the system response and exploit well-established methods and tools for analyzing linear systems. Here, this paper presents the development and verification of the new linearization functionality of the open-source engineering tool FAST v8 for land-based wind turbines, as well as the concepts and mathematical background needed to understand and apply it correctly.

Authors:
 [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1335577
Report Number(s):
NREL/JA-5000-67545
Journal ID: ISSN 1742-6588
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 753; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; FAST; linearization; wind turbine; multiphysics tool

Citation Formats

Jonkman, Jason M., and Jonkman, Bonnie J. FAST Modularization Framework for Wind Turbine Simulation: Full-System Linearization. United States: N. p., 2016. Web. doi:10.1088/1742-6596/753/8/082010.
Jonkman, Jason M., & Jonkman, Bonnie J. FAST Modularization Framework for Wind Turbine Simulation: Full-System Linearization. United States. https://doi.org/10.1088/1742-6596/753/8/082010
Jonkman, Jason M., and Jonkman, Bonnie J. Mon . "FAST Modularization Framework for Wind Turbine Simulation: Full-System Linearization". United States. https://doi.org/10.1088/1742-6596/753/8/082010. https://www.osti.gov/servlets/purl/1335577.
@article{osti_1335577,
title = {FAST Modularization Framework for Wind Turbine Simulation: Full-System Linearization},
author = {Jonkman, Jason M. and Jonkman, Bonnie J.},
abstractNote = {The wind engineering community relies on multiphysics engineering software to run nonlinear time-domain simulations e.g. for design-standards-based loads analysis. Although most physics involved in wind energy are nonlinear, linearization of the underlying nonlinear system equations is often advantageous to understand the system response and exploit well-established methods and tools for analyzing linear systems. Here, this paper presents the development and verification of the new linearization functionality of the open-source engineering tool FAST v8 for land-based wind turbines, as well as the concepts and mathematical background needed to understand and apply it correctly.},
doi = {10.1088/1742-6596/753/8/082010},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 753,
place = {United States},
year = {Mon Oct 03 00:00:00 EDT 2016},
month = {Mon Oct 03 00:00:00 EDT 2016}
}

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Cited by: 28 works
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Works referenced in this record:

The New Modularization Framework for the FAST Wind Turbine CAE Tool
conference, January 2013

  • Jonkman, Jason
  • 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition
  • DOI: 10.2514/6.2013-202

FAST Modular Framework for Wind Turbine Simulation: New Algorithms and Numerical Examples
conference, January 2015

  • Sprague, Michael A.; Jonkman, Jason M.; Jonkman, Bonnie
  • 33rd Wind Energy Symposium
  • DOI: 10.2514/6.2015-1461

Dynamics of offshore floating wind turbines-model development and verification
journal, July 2009


Definition of a 5-MW Reference Wind Turbine for Offshore System Development
report, February 2009


State-Space Control of Tower Motion for Deepwater Floating Offshore Wind Turbines
conference, June 2012

  • Namik, Hazim; Stol, Karl; Jonkman, Jason
  • 46th AIAA Aerospace Sciences Meeting and Exhibit
  • DOI: 10.2514/6.2008-1307

Works referencing / citing this record:

Load case reduction for offshore wind turbine support structure fatigue assessment by importance sampling with two‐stage filtering
journal, July 2019

  • Stieng, Lars Einar S.; Muskulus, Michael
  • Wind Energy, Vol. 22, Issue 11
  • DOI: 10.1002/we.2382

Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family
journal, August 2019

  • Xu, Jianhua; Han, Zhonghua; Yan, Xiaochao
  • Energies, Vol. 12, Issue 17
  • DOI: 10.3390/en12173330