Modelling of a Dynamic Power Cable

A comparison of a low- and high-order modelling approach for a dynamic power cable, in a lazy wave configuration, using modal superposition and the finite element method

Master Thesis (2025)
Author(s)

Isabelle de Bruijn (TU Delft - Mechanical Engineering)

Contributor(s)

P.R. Wellens – Mentor (TU Delft - Mechanical Engineering)

H.C. Seyffert – Graduation committee member (TU Delft - Mechanical Engineering)

J. Jovanova – Graduation committee member (TU Delft - Mechanical Engineering)

Faculty
Mechanical Engineering
More Info
expand_more
Publication Year
2025
Language
English
Graduation Date
15-07-2025
Awarding Institution
Delft University of Technology
Programme
Offshore and Dredging Engineering
Faculty
Mechanical Engineering
Downloads counter
219
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This Master's thesis explores the modelling of dynamic power cables (DPCs) used in floating offshore wind turbines (FOWTs), focusing on how lower- and higher-order models capture the cables' dynamic behaviour.

The study is motivated by the increasing use of floating offshore wind systems in deeper waters, where dynamic cables are required to transmit the power. To manage tension and reduce fatigue failure, a lazy wave configuration (LWC) is commonly employed as configuration for a dynamic power cable.

Two modelling techniques are compared: a custom-developed linear finite element model based on the Modal Superposition Method (MSM) and a more computationally intensive, non-linear model using OrcaFlex. The MSM approach is based on the linearisation of the system’s dynamic behaviour using mode shapes, which significantly reduces computational cost compared to high-fidelity methods like OrcaFlex. In fact, the MSM model runs over twelve times faster than OrcaFlex, making it particularly suitable for early-stage analysis. Results from both models are analysed in the time domain, with focus on displacements, bending moments and axial tension to identify fatigue-prone areas.

The findings show that the lower-order MSM model, while limited by linear assumptions, accurately captures displacement in tension-dominated regions and effectively identifies fatigue-prone locations. Compared to the OrcaFlex model, MSM computes conservative fatigue life estimates, as demonstrated through simulations across multiple surge spectra, imposed at the top-end. In contrast, the higher-order OrcaFlex model, which accounts for geometric non-linearities, offers more accurate predictions under larger wave loads and is better suited for detailed fatigue analysis of selected sea states.

Files

Master_thesis.pdf
(pdf | 0 Mb)
License info not available
warning

File under embargo until 01-05-2027