Floating offshore wind turbines (FOWTs) are a solution to harvest wind energy in deep water wind farms thanks to higher wind energy potential than onshore configurations. Fast and effective numerical models explaining the impact of platform motion on wind fields are fundamental to harvesting the potential energy in large offshore wind farms. This project developed a CFD-based Computationally Efficient approach based on an actuator line model (ALM) to study FOWTs. A dedicated C++ library was implemented in the OpenFOAM toolbox to complement reasonable accuracy and affordable computational effort while investigating the effects of the platform motions on the wake evolution. Three well-known turbine cases were studied. It was well documented that, at the same displacement, pitch and surge motions have the most considerable impact on turbine performance due to their inherent effect on 3D local wind inclination in the relative frame. The ALM implementation decreased computational cost with reasonable accuracy. Visualizing the followed flow fields proved the ability of the ALM code in capturing vortices trajectory, potential blade-vortex interactions, vortex pairing, and vortex ring state phenomenon in FOWTs. It is shown that a high amplitude or frequency of motion can result in the dynamic stall or vortex ring state. Even though a motion affects the turbine performance marginally, the wake can still be dominated due to complex flow conditions like vortex interactions or pairing.

Floating offshore wind turbines (FOWTs) are a solution to harvest wind energy in deep water wind farms thanks to higher wind energy potential than onshore configurations. Fast and effective numerical models explaining the impact of platform motion on wind fields are fundamental to harvesting the potential energy in large offshore wind farms. This project developed a CFD-based Computationally Efficient approach based on an actuator line model (ALM) to study FOWTs. A dedicated C++ library was implemented in the OpenFOAM toolbox to complement reasonable accuracy and affordable computational effort while investigating the effects of the platform motions on the wake evolution. Three well-known turbine cases were studied. It was well documented that, at the same displacement, pitch and surge motions have the most considerable impact on turbine performance due to their inherent effect on 3D local wind inclination in the relative frame. The ALM implementation decreased computational cost with reasonable accuracy. Visualizing the followed flow fields proved the ability of the ALM code in capturing vortices trajectory, potential blade-vortex interactions, vortex pairing, and vortex ring state phenomenon in FOWTs. It is shown that a high amplitude or frequency of motion can result in the dynamic stall or vortex ring state. Even though a motion affects the turbine performance marginally, the wake can still be dominated due to complex flow conditions like vortex interactions or pairing.

Modeling Multiple Floating Offshore Wind Turbines with the Actuator Line Method

REZAEI, FATEMEH
2023/2024

Abstract

Floating offshore wind turbines (FOWTs) are a solution to harvest wind energy in deep water wind farms thanks to higher wind energy potential than onshore configurations. Fast and effective numerical models explaining the impact of platform motion on wind fields are fundamental to harvesting the potential energy in large offshore wind farms. This project developed a CFD-based Computationally Efficient approach based on an actuator line model (ALM) to study FOWTs. A dedicated C++ library was implemented in the OpenFOAM toolbox to complement reasonable accuracy and affordable computational effort while investigating the effects of the platform motions on the wake evolution. Three well-known turbine cases were studied. It was well documented that, at the same displacement, pitch and surge motions have the most considerable impact on turbine performance due to their inherent effect on 3D local wind inclination in the relative frame. The ALM implementation decreased computational cost with reasonable accuracy. Visualizing the followed flow fields proved the ability of the ALM code in capturing vortices trajectory, potential blade-vortex interactions, vortex pairing, and vortex ring state phenomenon in FOWTs. It is shown that a high amplitude or frequency of motion can result in the dynamic stall or vortex ring state. Even though a motion affects the turbine performance marginally, the wake can still be dominated due to complex flow conditions like vortex interactions or pairing.
2023
Modeling Multiple Floating Offshore Wind Turbines with the Actuator Line Method
Floating offshore wind turbines (FOWTs) are a solution to harvest wind energy in deep water wind farms thanks to higher wind energy potential than onshore configurations. Fast and effective numerical models explaining the impact of platform motion on wind fields are fundamental to harvesting the potential energy in large offshore wind farms. This project developed a CFD-based Computationally Efficient approach based on an actuator line model (ALM) to study FOWTs. A dedicated C++ library was implemented in the OpenFOAM toolbox to complement reasonable accuracy and affordable computational effort while investigating the effects of the platform motions on the wake evolution. Three well-known turbine cases were studied. It was well documented that, at the same displacement, pitch and surge motions have the most considerable impact on turbine performance due to their inherent effect on 3D local wind inclination in the relative frame. The ALM implementation decreased computational cost with reasonable accuracy. Visualizing the followed flow fields proved the ability of the ALM code in capturing vortices trajectory, potential blade-vortex interactions, vortex pairing, and vortex ring state phenomenon in FOWTs. It is shown that a high amplitude or frequency of motion can result in the dynamic stall or vortex ring state. Even though a motion affects the turbine performance marginally, the wake can still be dominated due to complex flow conditions like vortex interactions or pairing.
Wind Turbine
CFD
ALM
Offshore
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/74316