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NW National Marine Renewable Energy Center Turbine Performance and Wake Prediction Alberto Aliseda, Sylvain Antheaume, Teymour Javaherchi, Joseph Seydel Department of Mechanical Engineering University of Washington NOAA Northwest Fisheries Science Center 12/08/2009.
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NW National Marine Renewable Energy CenterTurbine Performance and Wake Prediction Alberto Aliseda, Sylvain Antheaume, Teymour Javaherchi, Joseph Seydel Department of Mechanical Engineering University of Washington NOAA Northwest Fisheries Science Center 12/08/2009
Device Performance and Wake Modeling • Fluid Mechanics Modeling: • flow around turbine blades • flow in the turbine wake • wake-turbine interactions • wake-wake interactions
Device Performance and Wake Modeling • We use a hierarchy of numerical models for simulation of different aspect of the physics: • Porous Disk: Drag and Energy Dissipation • Virtual Blade Model: Axisymmetric and Steady • S/M Reference Frame: Navier-Stokes in a rotating reference frame • Moving Mesh: Full blade representation.
Wake Modeling Because of the concentrated nature of tidal energy, understanding the wake-turbine and wake-wake interactions is key to the development of this technology. Turbine spacing rules developed for wind farms can not easily be extended to tidal. They are empirical, not derived from first principles and not formulated in terms of non-dimensional parameters.
Wake Modeling: Near Wake • The near wake has important technological and environmental effects: • Sediment scouring by high speed tip flows • Bio effects of pressure fluctuations in tip vortices: fish bladder.
Wake Modeling: Far Wake • The far wake has a dominant role in turbine array design and estuarine dynamics: • Efficient turbine spacing in narrow high kinetic energy channels • Stratification and mixing in tidal channels • Estuarine circulation: flow exchange, nutrient and oxygen concentrations.
Turbine Modeling: Experimental Validation Plans to build a large-scale hydrodynamic testing facility