Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software

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Journal of Artificial Intelligence and Data Science
Volume:2 Issue:1
Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software

Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software

Authors : Prasun BHATTACHARJEE, Rabin K JANA, Somenath BHATTACHARYA

Pages : 16-23

View : 14 | Download : 8

Publication Date : 2022-06-30

Article Type : Research Paper

Abstract :As climate change is instigating massive human distress globally, several nations have agreed to minimize the release of greenhouse gases through the effective use of renewable energy resources like wind power through the Paris treaty of 2015 and COP-26 organized in Glasgow, Scotland. The blade is an important part of a wind turbine and its design impacts the efficiency of a wind farm immensely. In this paper, the design optimization of an NREL 5 MW horizontal axis wind turbine has been attempted with QBlade software. The optimized blade design validates improved co-efficient of power and developed stress profile.
Keywords : Blade, Horizontal Axis, NREL, QBlade Software, Wind Turbine

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