Abstract
Multipoint optimization based on non-dominated sorting genetic algorithm (NSGA-II) was applied to improve ratio of lift to drag of wind turbine airfoils with variable wind speed and wind direction constraints. Airfoils were parameterized by CST (Class function/Shape function Transformation) and aerodynamically analyzed by XFOIL software. The optimized results indicated that the transition characteristics of wind turbine airfoils had an important effect on lift-to-drag ratio under variable wind speed constraint and selecting design angles of attack around stall angle could improve aerodynamic performance under variable wind direction constraint.
| Original language | English |
|---|---|
| Pages (from-to) | 1685-1689 |
| Number of pages | 5 |
| Journal | Taiyangneng Xuebao/Acta Energiae Solaris Sinica |
| Volume | 34 |
| Issue number | 10 |
| State | Published - Oct 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- CST
- Genetic algorithm
- Multipoint optimization
- Variable wind direction
- Variable wind speed
- Wind turbine airfoils
Fingerprint
Dive into the research topics of 'Multipoint optimization wind turbine airfoils based on pareto genetic algorithm'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver