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Simulate an offshore wind farm with multiple rows under realistic atmospheric conditions and examine wake propagation and momentum transfer/energy extraction through the farm. Use actuator line and blade-resolved simulations with fluid-structure interaction in controlled studies to determine the impact of different turbine model fidelities, including on blade aerodynamics, loading, and structural response in a turbulent atmospheric boundary layer. The wind farm will have at least 15 turbines where each turbine has rated capacity of at least 5-MW and the simulation duration will be for at least one flow-through time to provide scientifically meaningful results. A stretch goal will be to perform simulations in two or more atmospheric stabilities. This milestone will be executed on the Frontier supercomputer using the ASCR Leadership Computing Challenge (ALCC) award “Grand-challenge predictive wind farm simulations.”
The text was updated successfully, but these errors were encountered:
kevmoor
changed the title
FY24 Q3 (NREL/Sandia): Investigation of deep-array effects in offshore wind farms:
FY24 Q3 (NREL/Sandia): Investigation of deep-array effects in offshore wind farms: Simulate an offshore wind farm with multiple rows under realistic atmospheric conditions and examine wake propagation and momentum transfer/energy extraction through the farm. Use actuator line and blade-resolved simulations with fluid-structure interaction in controlled studies to determine the impact of different turbine model fidelities, including on blade aerodynamics, loading, and structural response in a turbulent atmospheric boundary layer. The wind farm will have at least 15 turbines where each turbine has rated capacity of at least 5-MW and the simulation duration will be for at least one flow-through time to provide scientifically meaningful results. A stretch goal will be to perform simulations in two or more atmospheric stabilities. This milestone will be executed on the Frontier supercomputer using the ASCR Leadership Computing Challenge (ALCC) award “Grand-challenge predictive wind farm simulations.”
Apr 24, 2024
kevmoor
changed the title
FY24 Q3 (NREL/Sandia): Investigation of deep-array effects in offshore wind farms: Simulate an offshore wind farm with multiple rows under realistic atmospheric conditions and examine wake propagation and momentum transfer/energy extraction through the farm. Use actuator line and blade-resolved simulations with fluid-structure interaction in controlled studies to determine the impact of different turbine model fidelities, including on blade aerodynamics, loading, and structural response in a turbulent atmospheric boundary layer. The wind farm will have at least 15 turbines where each turbine has rated capacity of at least 5-MW and the simulation duration will be for at least one flow-through time to provide scientifically meaningful results. A stretch goal will be to perform simulations in two or more atmospheric stabilities. This milestone will be executed on the Frontier supercomputer using the ASCR Leadership Computing Challenge (ALCC) award “Grand-challenge predictive wind farm simulations.”
FY24 Q3 (NREL/Sandia): Investigation of deep-array effects in offshore wind farms:
Apr 24, 2024
Simulate an offshore wind farm with multiple rows under realistic atmospheric conditions and examine wake propagation and momentum transfer/energy extraction through the farm. Use actuator line and blade-resolved simulations with fluid-structure interaction in controlled studies to determine the impact of different turbine model fidelities, including on blade aerodynamics, loading, and structural response in a turbulent atmospheric boundary layer. The wind farm will have at least 15 turbines where each turbine has rated capacity of at least 5-MW and the simulation duration will be for at least one flow-through time to provide scientifically meaningful results. A stretch goal will be to perform simulations in two or more atmospheric stabilities. This milestone will be executed on the Frontier supercomputer using the ASCR Leadership Computing Challenge (ALCC) award “Grand-challenge predictive wind farm simulations.”
The text was updated successfully, but these errors were encountered: