Dr. Ashis Acharjee
Jhunaan Chakma
Subhajit Das Chowdhury
Ananyajoy Chakma
Madhujit Deb
- Assistant Professor, Department of Mechanical Engineering, National Institute of Technology (NIT), Agartala, Tripura, India, Tripura, India
- Student, Department of Mechanical Engineering, National Institute of Technology (NIT), Agartala, Tripura, India, Tripura, India
- Student, Department of Mechanical Engineering, National Institute of Technology (NIT), Agartala, Tripura, India, Tripura, India
- Student, Department of Mechanical Engineering, National Institute of Technology (NIT), Agartala, Tripura, India, Tripura, India
- Assistant Professor, Department of Mechanical Engineering, National Institute of Technology (NIT), Agartala, Tripura, India, Tripura, India
Abstract
The global trend towards green energy usage is expanding. Wind power is clean and sustainable and may compete with fossil fuels in the electricity market. This project’s manufacturing cost must match fossil fuels or other energy sources to be competitive. The main investment in wind generation is in machinery and infrastructure. Wind power becomes competitive by lowering energy costs through turbine design, building, and operation. Understanding wind turbine activity over its operational range requires an accurate mathematical model. This model allows complex control algorithms to optimize wind turbine operation. Modelling controls wind turbine performance. This study investigates the power coefficient parameter to meet wind turbine model goals. Next-generation turbine designers and researchers will benefit from model results. This information can optimize turbine design and lower generation costs, lowering wind energy expenses. This will make wind energy a profitable choice.
Keywords: Wind speed, turbine output, efficiency, blade speed ratio, electrical generator, power grid
[This article belongs to International Journal of Mechanical Dynamics and Systems Analysis(ijmdsa)]
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| Volume | 01 |
| Issue | 01 |
| Received | October 30, 2023 |
| Accepted | November 21, 2023 |
| Published | December 16, 2023 |