Publication Type : Conference Paper
Publisher : International Conference on Applied Mechanics and Optimisation 2019, ICAMeO 2019, Published as AIP Conference Proceedings, American Institute of Physics Inc., Volume 2134, Mar Baselios College of Engineering and Technology (MBCET)
Source : International Conference on Applied Mechanics and Optimisation Published as AIP Conference Proceedings, American Institute of Physics Inc., Volume 2134, MBCET, Thiruvananthapuram (2019)
ISBN : 9780735418776
Campus : Coimbatore
School : Department of Aerospace Engineering, School of Engineering
Department : Aerospace
Year : 2019
Abstract : A genetic algorithm (GA) methodology to design better site specific or wind profile specific aerofoils for small wind turbines starting from an initial pool of aerofoils is described. The GA methodology generates new aerofoils and quickly evaluates the fitness function of every aerofoil using XFOIL software. While XFOIL has a quick turnaround time, Computational Fluid Dynamics (CFD) methods are more expensive but have less assumptions. Hence, the suggested GA methodology can be used to quickly produce reasonably good test candidates for shortlisting the aerofoils for computational study. The best four aerofoils before GA and the best four after GA are taken and the top four performers from this pool are identified using CFD results. The results of the CFD study show that while three of the aerofoils after GA have better fitness values than the original pool, one from the original pool is still a comparatively good performer.
Cite this Research Publication : Saran Kumar Komari, Annapoorna Sreekumar, Dr. Balajee Ramakrishnananda, and Rajesh Senthil Kumar T., “A Genetic Algorithm Approach to Design Aerofoils for Small Wind Turbines”, International Conference on Applied Mechanics and Optimisation Published as AIP Conference Proceedings, vol. 2134. American Institute of Physics Inc., MBCET, Thiruvananthapuram, 2019.