Abstract—This paper proposes a new optimization method for blades of 4 small scale wind turbines including 5 KW, 10KW, 15KW and 20 KW wind turbines while objective function is maximum output torque. This optimization process is performed assuming a constant wind speed of 7 m/s which is classified as low speed condition. In this research based on a primary design, the blade is divided into three sections and best airfoils with optimum attack angles are determined while chord distribution, relative wind angle distribution, blade length and number of blades are considered constant. Results show that using this new optimization method can increase the output torque up to 19.5 percent.
Index Terms—Genetic algorithm, optimization, turbine blade, wind turbine.
Mohammadreza Mohammadi was with University of Sistan and Baluchestan, Zahedan, 9816745639 Iran. He is now with the Bushehr Gas Company, National Iranian Gas Company, (NIGC) 75157-53174 Iran (tel.: +989166047873; e-mail: mhrz_mohammadi@yahoo.com.au).
Alireza Mohammadi is with the Turbine Machine M.E. Company, Ahvaz, Iran (e-mail: aalirezamohammadi@gmail.com).
Moona Mohammadi is with Khuzestan Water & Power Authority, Ahvaz, Iran (e-mail: moona_mohammadi@yahoo.com).
Hamid Neisi Minaei is with Azad University of Shoushtar, Shoushtar, Iran (e-mail:minaeihamid@yahoo.com).
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Cite:Mohammadreza Mohammadi, Alireza Mohammadi, Moona Mohammadi, and Hamid Neisi Minaei, "Optimization of Small Scale Wind Turbine Blades for Low Speed Conditions," Journal of Clean Energy Technologies vol. 4, no. 2, pp. 140-143, 2016.
