The analysis of horizontal axis wind turbine aerodynamics using wavelet theory, spectral and time series methods

1996 1996

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Abstract (summary)

The study of wind turbine blade aerodynamics during full operation has only recently received attention, due to the high cost of conducting such experiments. Data used in this dissertation was received from the National Renewable Energy Laboratory. Such unsteady aerodynamic processes as dynamic stall, boundary layer separation, and turbulent inflow will contribute to increased blade loadings and reduced machine life.

The research presented in this dissertation utilizes time series, spectral, and wavelet techniques to analyse wind turbine aerodynamics. In particular, the tower shadow event at 30, 47, and 63% span is linked to rapid reattachment, followed by detachment of the boundary layer. It is also shown that the intensity of these events may be reduced by operating at a slight yaw error, between $-$4 and $-$10 degrees. Furthermore, a unique wavelet analysis technique has been developed to study a 2p effect seen in pressure and lift coefficient data. This wavelet technique is used to show that 2p results from the splitting of the signal time series into two halves by intense tower shadow spikes.

Through careful analysis of C$\rm\sb{p}$ plots, the blade section boundary at 30, 47, and 63% span was seen to be detached in 90% of the revolutions studied. Boundary layer transition to separated conditions occurs when the attack angle surpasses 18 degrees, indicating a stall delay of about 8 degrees. Dynamic stall vortex shedding rarely occurs for the conditions seen in the data set analysed in this dissertation. Slight yaw error, as well as the three dimensional effect of rotation, appears to be beneficial for maintaining a slight favorable pressure gradient at inboard blade section during deep stall operation, thereby reducing the potential for vortex growth.

Indexing (details)

Mechanical engineering;
Aerospace materials
0548: Mechanical engineering
0538: Aerospace materials
Identifier / keyword
Applied sciences
The analysis of horizontal axis wind turbine aerodynamics using wavelet theory, spectral and time series methods
Slepski, Jonathon Edward
Number of pages
Publication year
Degree date
School code
DAI-B 57/02, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Kirchhoff, Robert H.
University of Massachusetts Amherst
University location
United States -- Massachusetts
Source type
Dissertations & Theses
Document type
Dissertation/thesis number
ProQuest document ID
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
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