Performance Exploration of Mixed Airfoil Small Scale Horizontal Axis Wind Turbine Blade by QBLADE and CFD
L. Rajib Kanti Monda1, R. Gayathri2, R. Mercy Shanthi3

1L. Rajib Kanti Monda, Student, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
2R. Gayathri, Assistant Professor, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
3R. Mercy Shanthi, Associate Professor, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
Manuscript received on 03 June 2019 | Revised Manuscript received on 28 June 2019 | Manuscript Published on 04 July 2019 | PP: 339-344 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10600681S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this energy hungry world, energy efficient methods to increase the extraction of work from various sources of renewable energy is always appreciated. One such commonly used source is wind energy. Wind turbines and their aerodynamics are always subjected to constant research for increasing their efficiency which convert the abundant wind energy into usable electric energy. The current work is based on the comparative study between “Blade-Element- Momentum” (BEM) analysis and “Computational-Fluid-Dynamics” (CFD) analysis of mixed airfoil small-scale horizontal axis wind turbine blade which gives optimize torque, power and power coefficient. Then BEM was executed with the application of the open source wind turbine design and performance computation software QBlade v0.96. After that, CFD simulation was done by Ansys fluent version 14.5. Here, k omega Shear Stress Transport (SST) model was conducted. Blade was designed in creo parametric version 5.
Keywords: Qblade, Mixed Airfoil, Blade Element Momentum Method, Schmitz Optimization Method, CREO Parametric, HAWT.
Scope of the Article: Nanometer-Scale Integrated Circuits