Modelling and prediction of blockage effects on the operation of tidal turbines
A series of works have been performed to better understand the effects of channel blockage on the performance and wake recovery of tidal turbines. The prediction of the performance of tidal turbines operating under blocked conditions has also been studied. Computational fluid dynamics (CFD) stud...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2017
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Online Access: | http://hdl.handle.net/10356/72460 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | A series of works have been performed to better understand the effects of
channel blockage on the performance and wake recovery of tidal turbines.
The prediction of the performance of tidal turbines operating under blocked
conditions has also been studied.
Computational fluid dynamics (CFD) studies of a single turbine operating
under various flow conditions and channel sizes revealed that the effect of
blockage is to cause the turbine to experience a higher velocity than the
free-stream velocity. The boundary layer is also found to greatly affect the
prediction of performance of a tidal turbine, and neglecting its presence
would lead to the performance of the tidal turbine being overestimated.
Channel depth is also found to affect the performance of the tidal turbine.
Increasing the blockage ratio of the channel is found to increase the recovery
of the far wake, while the near wake was minimally affected.
Predictions of performance by analytical models were found to be more
sensitive to changes in blockage ratios when compared to that predicted
from CFD. Nevertheless, there is generally good agreement between the predictions
made by analytical models and CFD for typical operating ranges
of thrust coefficients. Prediction of the wake recovery was also compared.
When modified to work under blockage conditions, predictions of the wake
recovery by analytical models had good agreement with the wake predicted
by CFD. The model used by Bahaj et al. in 2007 to predict the effect of
blockage on the performance on a turbine, together with the Jensen wake
model, is recommended for predicting the effects of blockage on the performance
and wake recovery of a single turbine.
Coupling the blockage prediction model by Bahaj et al. with a BEM model
allowed the prediction of the performance of a 3 bladed rotor under blockage conditions with a good degree of accuracy. In addition, Reynolds number
effects are found to be important in accurately predicting the performance
of the turbine under blocked conditions due to the increase in experienced
velocity. Including the Reynolds number effect results in the optimum rotation
speed and power coefficient increasing as the blockage ratio increases
as compared to when it is not included.
The performance and wake recovery of a small array of fixed size under various
blockage scenarios was also studied. Performance of each turbine within
the array is found to be between that of a single turbine operating with the
same global blockage and local blockage as the array. The equivalent single
turbine blockage is defined as the blockage ratio required for a single turbine
to produce the same performance as the turbine within the array. The
equivalent single turbine blockage is used to characterise the performance of
the turbine in the array, and an expression was developed to describe it.
Wake recovery of the array was studied as well. Increasing global blockage
ratios was found to increase the wake recovery of the array, while locating
turbines too close to each other lead to their wakes merging and taking
longer to recover. When there is no significant wake interaction between the
wakes of the individual turbines in the array, the wakes were found to be
similar to that of a single turbine operating with the same global blockage
ratio as the turbine. The minimum inter-turbine spacing for this is found to
be two turbine diameters. |
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