A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations

14Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

Currently, floating offshore wind is experiencing rapid development towards a commercial scale. However, the research to design new control strategies requires numerical models of low computational cost accounting for the most relevant dynamics. In this paper, a reduced linear time-domain model is presented and validated. The model represents the main floating offshore wind turbine dynamics with four planar degrees of freedom: surge, heave, pitch, first tower fore-aft deflection, and rotor speed to account for rotor dynamics. The model relies on multibody and modal theories to develop the equation of motion. Aerodynamic loads are calculated using the wind turbine power performance curves obtained in a preprocessing step. Hydrodynamic loads are precomputed using a panel code solver and the mooring forces are obtained using a look-up table for different system displacements. Without any adjustment, the model accurately predicts the system motions for coupled stochastic wind–wave conditions when it is compared against OpenFAST, with errors below 10% for all the considered load cases. The largest errors occur due to the transient effects during the simulation runtime. The model aims to be used in the early design stages as a dynamic simulation tool in time and frequency domains to validate preliminary designs. Moreover, it could also be used as a control design model due to its simplicity and low modeling order.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

López-Queija, J., Robles, E., Llorente, J. I., Touzon, I., & López-Mendia, J. (2022). A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations. Energies, 15(6). https://doi.org/10.3390/en15062228

Readers over time

‘22‘23‘24‘250481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

43%

Researcher 2

29%

Professor / Associate Prof. 1

14%

Lecturer / Post doc 1

14%

Readers' Discipline

Tooltip

Engineering 7

78%

Physics and Astronomy 1

11%

Mathematics 1

11%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0