Presentation for SSI

Presentation of SSI

Transcript

1. Introduction HAMZA LATIF MEHR Mechanical Engineer Education: MS Mechanical Engineering Thesis ongoing
2. 50 initial simulations and approx. 100 simulations till optimum CFD Validation 2 01 Select Darius and Savonius Base shapes 03 Carried out mesh and domain independence Carried out validation for both type of turbines 02 04 Design by Morphing 3 shapes chosen Collocation 3 shapes were collocated (Discretized to have 1 to 1 correspondence) 05 Intersection Thesis Milestones For Validation: Sandia Laboratories US Department of Energy’s Wind Tunnel Experiments chosen Intersections of the shapes detected and removed to utilize the whole design space Morphing weights 06 Morphing in spherical 05 Bayesian Optimization
3. Thesis Optimization by Design by Morphing of Vertical Axis Wind Turbines with application of Bayesian Optimization Objectives: • Develop a non intuitive Design Approach • Use a morphing algorithm to dynamically generate blade shapes (An efficient Amalgam of Drag and Lift base turbine.) • Apply Bayesian Optimization to refine turbine design. • Enhance Aerodynamic Efficiency • Optimize blade shape, speed ratio, distance between blades and angle of attack. • Calculate turbine efficiency (Cp) through CFD (CFD will be validated first). • Implement a “Reinforced” Bayesian Optimization Process • Generate and evaluate turbine designs using Bayesian Optimization & CFD. • Continuously refine designs based on performance metrics (Coefficient of Power).