Use Case 1: Overview, Objectives and HPC Application
Definition of the Use Case
The NREL 5 MW baseline wind turbine is selected as the reference use case for wall-resolved fluid-structure interaction (FSI) studies lead by Imperial College London (ICL). In addition to the FSI studies, it also sets a common ground to leverage the results of algorithms being developed in HPCWE for wind turbine simulation at turbine level and to showcase the advantages provided by state-of-the-art HPC simulation for the following objectives being pursued individually and collaboratively by ICL, USP, UTwente, USTUTT and EPCC.
ย
NREL 5 MW reference wind turbine | Simulation by Marielle de Oliveira using OpenFOAM; (c) Universidade de Sรฃo Paulo
Main Objectives
- Accurate prediction of blade deformations and fatigue loads under realistic high-wind flow conditions.
- A numerical strategy for the prediction of edgewise vibrations on parked rotors without empirical corrections.
- A wall-resolved simulation environment to investigate the aerodynamic/aeroelastic interactions at the rotor level driven by separated flows on blade root, nacelle and tower.
- Assessment and demonstration of importance of extra resolution of high-fidelity simulation as well as the role of local resolutions of the model via comparison to the more approximate and low-fidelity approaches.
- Investigation of incoming flow turbulence level on the wake and mean-velocity profile recovery in wind farm.
- Investigation of effect of motions of turbine platform in offshore wind turbines on the local flow around the blade and wake.
- Providing deeper understanding of wake and sea waves.
- I/O reduction using compression algorithms.
- Energy usage assessment and reduction using an energy-aware programming approach.
ย
HPC Application
This use case also serves as a common test case for analysis and demonstration of individual and comparative scalability of algorithms and codes. HPC performance and scalability tests and analysis are being conducted on EPCCโs NextGenIO and UK national supercomputing systems by each partner individually as well as in collaboration with EPCC.