Abstract
Due to the significance of Horizontal-Axis Wind Turbines (HAWTs) in harvesting energy, researchers are increasingly focused on the aerodynamic improvement of these types of turbines. In the present study, an optimization investigation is carried out using a Design of Experiment (DoE) approach to optimize the design variables of a slotted blade to augment the aerodynamic performance of wind rotors. For this aim, three factors with three levels including, slot width (Ws), distance from the suction side (Ds), and distance from the pressure side (DP) are selected for optimization. The results indicated that distance from the suction side (Ds) is the key affecting factor on aerodynamic performance of turbine, and its contribution factor is 71%. The maximum lift-to-drag ratio of the optimized slotted blade has been identified to be 22.9, which is 11% higher than that of a baseline blade at angle of attack of 14°.
| Original language | English |
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| Title of host publication | Proceedings of the International Conference on Maintenance and Intelligent Asset Management |
| Subtitle of host publication | ICMIAM 2023 |
| Publisher | Asset Management Council of Australia |
| Chapter | 13 |
| Pages | 72-76 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780992582104 |
| Publication status | Published - 6 Dec 2023 |
| Event | 4th International Conference on Maintenance and Intelligent Asset Management - Ballarat, Australia Duration: 6 Dec 2023 → 8 Dec 2023 Conference number: 4 |
Conference
| Conference | 4th International Conference on Maintenance and Intelligent Asset Management |
|---|---|
| Abbreviated title | ICMIAM 2023 |
| Country/Territory | Australia |
| City | Ballarat |
| Period | 6/12/23 → 8/12/23 |