Gradient-Based Design Optimization of a 5kW Ducted Hydrokinetic Turbine Using RANS CFD
ORAL
Abstract
Building upon our previous study on ducted hydrokinetic turbine optimization, this study focuses on enhancing the performance of a 5kW ducted hydrokinetic turbine under real-world constraints. Starting with a foil-shaped duct and a turbine featuring a bulky hub to house a generator, we optimize the duct, hub, and blades to maximize efficiency. The geometry is represented by a CAD-based parametrization using an open-source Engineering Sketch Pad. The gradient-based optimization process is performed, evaluating the turbine performance using a RANS-based flow solver and computing the gradients for the optimization using the adjoint method. The optimized design is subsequently re-evaluated using a higher-fidelity flow solver, yielding approximately 50% hydrodynamic efficiency, higher than an unducted counterpart.
*This work is a part of the Re-configurable Array of High-Efficiency Ducted Turbines for Hydrokinetic Energy Harvesting (RAFT) project, supported by the United States Department of Energy (DOE)-ARPA-E under SHARKS program award No. DE-AR0001438 (Program Director Dr. Mario Garcia-Sanz).
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Presenters
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Jeongbin Park
- University of Michigan