Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm
The goal of this paper is to employ a multiobjective genetic algorithm (MOGA) to optimize the shape of a well-known wind turbine airfoil S809 to improve its lift and drag characteristics, in particular to achieve two objectives, that is, to increase its lift and its lift to drag ratio. The commercia...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/864210 |
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| author | Yilei He Ramesh K. Agarwal |
| author_facet | Yilei He Ramesh K. Agarwal |
| author_sort | Yilei He |
| collection | DOAJ |
| description | The goal of this paper is to employ a multiobjective genetic algorithm (MOGA) to optimize the shape of a well-known wind turbine airfoil S809 to improve its lift and drag characteristics, in particular to achieve two objectives, that is, to increase its lift and its lift to drag ratio. The commercially available software FLUENT is employed to calculate the flow field on an adaptive structured mesh using the Reynolds-Averaged Navier-Stokes (RANS) equations in conjunction with a two-equation k-ω SST turbulence model. The results show significant improvement in both lift coefficient and lift to drag ratio of the optimized airfoil compared to the original S809 airfoil. In addition, MOGA results are in close agreement with those obtained by the adjoint-based optimization technique. |
| format | Article |
| id | doaj-art-aaad732997464a1784cfb9bb76cef5e3 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-aaad732997464a1784cfb9bb76cef5e32025-02-03T01:11:21ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742014-01-01201410.1155/2014/864210864210Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic AlgorithmYilei He0Ramesh K. Agarwal1Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO 63130, USADepartment of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO 63130, USAThe goal of this paper is to employ a multiobjective genetic algorithm (MOGA) to optimize the shape of a well-known wind turbine airfoil S809 to improve its lift and drag characteristics, in particular to achieve two objectives, that is, to increase its lift and its lift to drag ratio. The commercially available software FLUENT is employed to calculate the flow field on an adaptive structured mesh using the Reynolds-Averaged Navier-Stokes (RANS) equations in conjunction with a two-equation k-ω SST turbulence model. The results show significant improvement in both lift coefficient and lift to drag ratio of the optimized airfoil compared to the original S809 airfoil. In addition, MOGA results are in close agreement with those obtained by the adjoint-based optimization technique.http://dx.doi.org/10.1155/2014/864210 |
| spellingShingle | Yilei He Ramesh K. Agarwal Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm International Journal of Aerospace Engineering |
| title | Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm |
| title_full | Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm |
| title_fullStr | Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm |
| title_full_unstemmed | Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm |
| title_short | Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm |
| title_sort | shape optimization of nrel s809 airfoil for wind turbine blades using a multiobjective genetic algorithm |
| url | http://dx.doi.org/10.1155/2014/864210 |
| work_keys_str_mv | AT yileihe shapeoptimizationofnrels809airfoilforwindturbinebladesusingamultiobjectivegeneticalgorithm AT rameshkagarwal shapeoptimizationofnrels809airfoilforwindturbinebladesusingamultiobjectivegeneticalgorithm |