• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Larger MW-class floater designs without upscaling? A direct optimization approach
 
  • Details
  • Full
Options
2019
Conference Paper
Title

Larger MW-class floater designs without upscaling? A direct optimization approach

Abstract
The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MW-class WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.
Author(s)
Leimeister, Mareike  
Fraunhofer-Institut für Windenergiesysteme IWES  
Kolios, Athanasios
University of Strathclyde
Collu, Maurizio
University of Strathclyde
Thomas, Philipp  
Fraunhofer-Institut für Windenergiesysteme IWES  
Mainwork
ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019. Proceedings. Vol.1: Offshore Technology; Offshore Geotechnics  
Conference
International Conference on Ocean, Offshore and Arctic Engineering (OMAE) 2019  
Open Access
Link
Link
DOI
10.1115/OMAE2019-95210
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024