Abstract
A search-based multi-point aerofoil design algorithm is presented which optimises a profile for a prescribed CL-α distribution and Reynolds number, Re. A real-coded genetic algorithm is used in conjunction with XFOIL and a geometrically constrained shape parameterisation method to produce smooth, manufacturable aerofoils given the required aerodynamic performance.
The validated tool is used to produce a family of aerofoils to define a model rotor blade for a wind turbine with a similar axial induction factor along its length in a small scale laboratory environment to a full scale reference. It is hypothesised that given the similar axial induction and similar non-dimensional geometry, the model rotor will have a similar unsteady aerodynamic response to the full scale.
The validated tool is used to produce a family of aerofoils to define a model rotor blade for a wind turbine with a similar axial induction factor along its length in a small scale laboratory environment to a full scale reference. It is hypothesised that given the similar axial induction and similar non-dimensional geometry, the model rotor will have a similar unsteady aerodynamic response to the full scale.
| Original language | English |
|---|---|
| Title of host publication | 50th 3AF International Conference on Applied Aerodynamics |
| Place of Publication | Paris |
| Publication status | Published - 29 Mar 2015 |
Keywords
- search-based
- multi-point aerofoil
- design algorithm
- prescribed CL-α distribution
- Reynolds number
- rotor blades
- wind turbines