CFD Simulation of a Floating Wind Turbine with OpenFOAM

CFD Simulation of a Floating Wind Turbine with OpenFOAM: an FSI approach based on the actuator line and relaxation zone methods

Frontera Pericas, Pere (TU Delft Aerospace Engineering)

Viré, A.C. (mentor)
De Tavernier, D. (mentor)

Delft University of Technology

Aerospace Engineering

2022-12-05

Floating offshore wind turbines (FOWTs) have the potential to harness wind resources in deepwater, which is so far prohibitive for conventional approaches. This, however, comes at a cost: the platform’s extra degrees of freedom (DoFs) introduce complex aerodynamic and hydrodynamic behaviours. Therefore, FOWTs must be accurately modeled to reduce load uncertainties that ultimately prejudice their economic viability.

This project implements a framework for the coupled, high-fidelity simulation of FOWTs in OpenFOAM. The tool is built upon two existing libraries: turbinesFoam—for rotor modeling based on the actuator line method— and waves2Foam—for wave-field generation and absorption based on the relaxation zone method. The multi-phase simulation uses the interFoam solver in combination with a morphing mesh technique and rigid-body model to represent the platform. The mooring restraints are computed with a quasi-steady, catenary model from waves2Foam. The turbinesFoam library, targeted at bottom-fixed turbines, is modified so that it can accommodate arbitrary motions along the rigid-body DoFs. The platform-turbine FSI coupling follows a serial sub-iterating strategy based on the PIMPLE scheme.

The presented framework proved capable of modeling the aerodynamic performance of turbines under prescribed motion and produced plausible results for a semi-submersible FOWT under combined wind and wave conditions. Once carefully validated, this tool will have the potential to serve as a reliable technique for the advanced modeling of FOWTs.

Floating Wind Energy
Offshore Wind Turbines
CFD
FSI
OpenFOAM
Actuator Line Method

http://resolver.tudelft.nl/uuid:1911a06e-da04-4047-b51c-8a4b563d43d2

Student theses

master thesis

© 2022 Pere Frontera Pericas