Articles | Volume 11, issue 2
https://doi.org/10.5194/ms-11-447-2020
https://doi.org/10.5194/ms-11-447-2020
Research article
 | 
23 Nov 2020
Research article |  | 23 Nov 2020

Horizontal axis wind turbine modelling and data analysis by multilinear regression

Paulaiyan Tittus and Paul Mary Diaz

Related subject area

Subject: Dynamics and Control | Techniques and Approaches: Numerical Modeling and Analysis
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Cited articles

Abrar, M. A., Mahbub, A. M. I., and Mamun, M.: Design Optimization of a Horizontal Axis Micro Wind Turbine through Development of CFD Model and Experimentation, PProcedia Engineer., 90, 333–338, https://doi.org/10.1016/j.proeng.2014.11.858, 2014. 
Ahmad, F.: Renewable Energy, Horizontal-Axis Wind Turbine (HAWT) Working Principle, Single Blade, Two Blade, Three-Blade Wind Turbine: https://electricalacademia.com/renewable-energy/, last access: 25 February 2019. 
Ashrafi, Z.N., Ghaderi, M., and Sedaghat, A.: Parametric study on off-design aerodynamic performance of a horizontal axis wind turbine blade and proposed pitch control, Energ. Convers. Manage., 93, 349–356, https://doi.org/10.1016/j.enconman.2015.01.048, 2015. 
Burton, T., Sharpe, D., Jenkins, N., and Bossanyi, E.: Wind Energy Handbook, John Wiley & Sons Ltd., London, 511–558, https://doi.org/10.1002/0470846062.ch9, 2001. 
Castellani, F., Vignaroli, A., and Gravdahl, A. R.: Wind simulation on complex terrain: about the dependencies on inlet flow orthogonality, in: European wind energy conference and exhibition proceedings – Athens, Greece, 2006. 
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Short summary
The approach in this research includes data visualization and multilinear regression analysis. Multiple linear regression is a standard selection model in the world of data science. The approach turned out to be promising. However, the results reveal that the implemented technique holds a high degree of predictions, and the number of data sets is adequate. It is also observed that errors are in less concentration as the sum of squared errors is zero for every parameter.