The optimization design of H-rotor vertical axis wind turbine using genetic algorithms

• Main Authors: AtthaphonAriyarit, 李文興
• Other Authors: San-Yih Lin
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/82376769498106727397

碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 101 === This thesis deals with the Genetic Algorithm method to design the optimum H-rotor vertical axis wind turbine blade, which the weak point of this kind of wind turbine is the low power efficiency. Genetic Algorithm was selected to search the maximum power efficiency of the wind turbine. This algorithm is used to search the maximum power efficiency of the H-rotor vertical axis wind turbine by changing the shape of the wind turbine blade. The Genetic Algorithm code is developed and connected with ANSYS FLUENT as CFD solver by MATLAB. Two optimization problems were set to search the maximum power efficiency. In problem I, the wind turbine get the power efficiency 0.3590. In problem II, the wind turbine get the power efficiency 0.3945. The power efficiency from Problem II were more than that from Problem I 9.8%. Therefore, this thesis demonstrates that it is possible to design the H-rotor vertical axis wind turbine blade by using Genetic Algorithm combined with CFD code in ANSYS FLUENT to search the maximum power efficiency.