- 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 : 11 | Download : 6
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