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
Position control of a soft pneumatic actuator based on the pressure parameter feedback model (PPFM)
Yuwang Liu, Dongyang Zhang, Yi Yu, Peng Chen, Wenping Shi, and Dongqi Wang
Mech. Sci., 15, 407–416, https://doi.org/10.5194/ms-15-407-2024,https://doi.org/10.5194/ms-15-407-2024, 2024
Short summary
Structural design and jumping motion planning of the jumping leg inspired by a goat's hindlimb
Gang Chen, Longxin He, Zhihan Zhao, Yuwang Lu, Jiajun Tu, Xiangying Ren, and Hanzhi Lv
Mech. Sci., 14, 493–502, https://doi.org/10.5194/ms-14-493-2023,https://doi.org/10.5194/ms-14-493-2023, 2023
Short summary
Design and experiment of magnetic navigation control system based on fuzzy PID strategy
Guosheng Geng, Feng Jiang, Chao Chai, Jianming Wu, Yejun Zhu, Guiguan Zhou, and Maohua Xiao
Mech. Sci., 13, 921–931, https://doi.org/10.5194/ms-13-921-2022,https://doi.org/10.5194/ms-13-921-2022, 2022
Short summary
Adaptive sliding-mode control for improved vibration mitigation in civil engineering structures
Khaled Zizouni, Abdelkrim Saidi, Leyla Fali, Ismail Khalil Bousserhane, and Mohamed Djermane
Mech. Sci., 13, 899–908, https://doi.org/10.5194/ms-13-899-2022,https://doi.org/10.5194/ms-13-899-2022, 2022
Short summary
Autonomous vehicle trajectory tracking lateral control based on the terminal sliding mode control with radial basis function neural network and fuzzy logic algorithm
Binyu Wang, Yulong Lei, Yao Fu, and Xiaohu Geng
Mech. Sci., 13, 713–724, https://doi.org/10.5194/ms-13-713-2022,https://doi.org/10.5194/ms-13-713-2022, 2022
Short summary

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. 
Download
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.