TY - GEN
T1 - Establishing confidence in predictions of fatigue loading for floating tidal turbines based on large-eddy simulations and unsteady blade element momentum
AU - Ouro, P.
AU - Mullings, H.
AU - Stallard, T.
N1 - Funding Information:
The authors acknowledge the collaboration with Orbital Marine Power Ltd during this work. This research has been financially supported by the EU Interreg project TIGER. Simulations were run using the Computational Shared Facility (CSF) at The University of Manchester (UK).
Publisher Copyright:
© 2023 the Author(s).
PY - 2023
Y1 - 2023
N2 - To optimise a tidal site for development, tidal stream turbines need to be placed within arrays with the spacing between turbines being critical to maximise energy yield whilst minimising expenses associated to cabling, mooring or maintenance. Turbines deployed downstream of other turbines are exposed to upstream turbine wakes. experiencing low velocities and high shear and turbulence which cause fatigue loads. Turbine loading due to these challenging conditions can be well-predicted using high-fidelity models such as Large-Eddy Simulation (LES). However, such models have a notable computational cost that prevents use for optimising the location of turbines within an array. Here, we investigate the accuracy of a computationally efficient Blade Element Momentum (BEM) to predict unsteady loads on a double-rotor floating tidal turbine, adopting inflow data from LES and comparing to loads resolved in the LES using an Actuator Line Model (ALM). Results show that mean thrust and bending moment are well predicted by the BEM in comparison to the LES-ALM results.
AB - To optimise a tidal site for development, tidal stream turbines need to be placed within arrays with the spacing between turbines being critical to maximise energy yield whilst minimising expenses associated to cabling, mooring or maintenance. Turbines deployed downstream of other turbines are exposed to upstream turbine wakes. experiencing low velocities and high shear and turbulence which cause fatigue loads. Turbine loading due to these challenging conditions can be well-predicted using high-fidelity models such as Large-Eddy Simulation (LES). However, such models have a notable computational cost that prevents use for optimising the location of turbines within an array. Here, we investigate the accuracy of a computationally efficient Blade Element Momentum (BEM) to predict unsteady loads on a double-rotor floating tidal turbine, adopting inflow data from LES and comparing to loads resolved in the LES using an Actuator Line Model (ALM). Results show that mean thrust and bending moment are well predicted by the BEM in comparison to the LES-ALM results.
UR - http://www.scopus.com/inward/record.url?scp=85145591414&partnerID=8YFLogxK
U2 - 10.1201/9781003360773-101
DO - 10.1201/9781003360773-101
M3 - Conference contribution
AN - SCOPUS:85145591414
SN - 9781032420035
T3 - Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
SP - 915
EP - 924
BT - Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
A2 - Soares, C. Guedes
PB - CRC Press and Balkema
T2 - 5th International Conference on Renewable Energies Offshore, RENEW 2022
Y2 - 8 November 2022 through 10 November 2022
ER -
