Taguchi optimization and ANOVA for wind speed measurements of wind turbine | ||||
| Engineering Research Journal (Shoubra) | ||||
| Volume 53, Issue 4, October 2024, Page 13-19 PDF (1.12 MB) | ||||
| Document Type: Research articles | ||||
| DOI: 10.21608/erjsh.2024.285782.1295 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
AbdelRahman Marzouk Elkattan  1, 2; Osama Ezzat Abdellatif 1; Mohamed Saber Sokar 1
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| 1Department of Mechanical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt | ||||
| 2Mechatronics, Engineering, October University for Modern Sciences & Arts, Cairo, Egypt | ||||
| Abstract | ||||
| Measuring wind speed is an important process in many applications, including measuring wind speed in wind turbines and making some vital actions based on wind speed, such as controlling the pitch angle of the blade and other important applications. The purpose of this work is to optimize the wind speed measurement technique by determining the effect of significant parameters throughout the wind speed measurement for a wind turbine. The findings of experimental wind speed measurement are provided using multiple Design of Experiments (DOE) tools, specifically the Taguchi technique and ANOVA. The experimental studies take into account four parameters: ambient temperature, tilt angle (wind direction), distance from air source, and surrounding space. These parameters were chosen because they are frequently used in test cases. The results show that the tilt angle is the most significant element, accounting for 46.8% of the total contribution. As a result, Design of Experiment is deemed a reasonable method for determining essential parameters and their contributions to wind speed measurement. | ||||
| Keywords | ||||
| Wind Measurement Optimization; Cup Anemometer; Analysis of Variance (ANOVA); Taguchi Method; Design of Experiment (DOE) | ||||
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