Verification of Floating Offshore Wind Linearization Functionality in OpenFAST

Nicholas Johnson, Jason Jonkman, Alan Wright, Amy Robertson, Greg Hayman

Research output: Contribution to journalArticlepeer-review

9 Scopus Citations


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 properties and exploit well-established methods and tools for analyzing linear systems. Previous work in this area has focused on the development of the new linearization functionality of the open-source engineering tool OpenFAST for floating offshore wind turbines, as well as the concepts and mathematical background needed to understand and apply it correctly. This paper focuses on the verification of this new linearization functionality, which is carried out by comparing results to previous stable versions of FAST. A nonlinear time-domain simulation for a floating offshore platform is also compared to the time-domain response of the linearized state-space model. The linearized results show good alignment between OpenFAST and previous versions of FAST, as well as with the time-domain simulations, thereby showing the accuracy of the new features in OpenFAST.

Original languageAmerican English
Article number012022
Number of pages23
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - 24 Oct 2019
Event16th Deep Sea Offshore Wind R and D Conference, DeepWind 2019 - Trondheim, Norway
Duration: 16 Jan 201918 Jan 2019

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

NREL Publication Number

  • NREL/JA-5000-74210


  • FAST
  • linearization
  • modeling
  • offshore
  • OpenFAST
  • wind energy


Dive into the research topics of 'Verification of Floating Offshore Wind Linearization Functionality in OpenFAST'. Together they form a unique fingerprint.

Cite this