Pitch Response Comparison of Offshore Platforms: A Lagrangian Approach

M. M. G. Costa, J. P. Santos, A. Bertolin, J. G. Silva, E. Nepomuceno

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

2 Citations (SciVal)

Abstract

Wind energy is a renewable source considerably explored worldwide. Currently, attempts have been made to create wind farms on offshore areas, given the higher intensity and consistency of the wind resource. By doing this, conventional fixed foundation platforms become infeasible and floating structures have to be considered. One of the consequences for using these floating structures is the presence of troublesome motions, that increase mechanical stress and reduce the energy production of the wind turbine. Generally in the literature, this problem is evaluated with the use of numeric simulations, producing results for one specific case at a time. This paper proposes a classical mechanics approach, using a Lagrangian framework to describe the dynamics of pitch motion in a analytical formulation. This approach can describe the system response with a general model, instead of only numerical values, facilitating the comprehension of the most important parameters for the dynamic response.

Original languageEnglish
Title of host publicationProceedings of the 35th Irish Systems and Signals Conference, ISSC 2024
EditorsHuiru Zheng, Ian Cleland, Adrian Moore, Haiying Wang, David Glass, Joe Rafferty, Raymond Bond, Jonathan Wallace
Place of PublicationU. S. A.
PublisherIEEE
Pages1-6
ISBN (Electronic)9798350352986
DOIs
Publication statusPublished - 14 Jun 2024
Event35th Irish Systems and Signals Conference, ISSC 2024 - Belfast, UK United Kingdom
Duration: 13 Jun 202414 Jun 2024

Publication series

NameProceedings of the 35th Irish Systems and Signals Conference, ISSC 2024

Conference

Conference35th Irish Systems and Signals Conference, ISSC 2024
Country/TerritoryUK United Kingdom
CityBelfast
Period13/06/2414/06/24

Keywords

  • modeling
  • offshore platforms
  • wind energy

ASJC Scopus subject areas

  • Modelling and Simulation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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