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Optimization of Power Coefficient of Wind Turbine Using Genetic Algorithm
, Ravindran D, Sivakumar M, , Muthukumar S.
Published in Springer Science and Business Media LLC
2017
Volume: 98
   
Issue: 2
Pages: 111 - 118
Abstract
In the design of a wind turbine, the goal is to attain the highest possible power output under specified atmospheric conditions. The optimization of power coefficient of horizontal axis wind turbine has been carried out by integration of blade element momentum method and genetic algorithm (GA). The design variables considered are wind velocity, angle of attack and tip speed ratio. The objective function is power coefficient of wind turbine. The different combination of design variables are optimized using GA and then the Power coefficient is optimized. The optimized design variables are validated with the experimental results available in the literature. By this optimization work the optimum design variables of wind turbine can be found economically than experimental work. NACA44XX series airfoils are considered for this optimization work. © 2016, The Institution of Engineers (India).
About the journal
JournalData powered by TypesetJournal of The Institution of Engineers (India): Series C
PublisherData powered by TypesetSpringer Science and Business Media LLC
ISSN2250-0545
Open AccessNo