Project Details
Abstract
The advantages of the wind turbines (WTs) that utilize Magnus effect over the bladed WTs are (1)
Under low (< 6 m/s) and unsteady wind speed, Magnus WTs can continuously output power such
that their range of operation is from 2 to 40 m/s instead of 5 to 25 m/s for ordinary WTs; (2) The
rotor speed of Magnus WTs being 2 to 3 times lower than that of ordinary WTs ensures their
ecological and operational safety. (3) The aerodynamic self-regulation of wind-wheel rotation
prevent from its excessive spin-up and destruction due to centrifugal forces. In particular, at wind
speed higher than 35 m/s, the self-regulation results in diminution of the Magnus force with the
self-braking. However, in order to take the most advantage of Magnus WT, reducing the drag to lift
ratio is crucial. In this project, we will modify the surface condition of the rotating cylinder to
increase the lift force. Although the drag force may also be enhanced, if the degree of enhancement
is less than that of the lift force, the drag to lift ratio may be reduced. The modifications of the
cylinder are in three types: (1) helical ribs, (2) blunt tail, and (3) dimples. Each type of the
modification has its own set of design parameters. In order to reduce the number of experiments,
Taguchi method is adopted and used to find the optimal parameter set. If the accuracy of the optimal
parameter set is desired, we can use the experimental results to construct an artificial neural network
(ANN). Finally, the DIRECT searching method is used in cooperate with the ANN to search for the
accurate parameter set that minimize the drag to lift ratio.
Project IDs
Project ID:PB10507-1874
External Project ID:MOST105-2221-E182-058
External Project ID:MOST105-2221-E182-058
Status | Finished |
---|---|
Effective start/end date | 01/08/16 → 31/07/17 |
Keywords
- Magnus Wind Turbines
- Drag to Lift Ratio
- Taguchi Method
- Artificial Neural Network
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.