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Accuracy of the actuator disc-RANS approach for predicting the performance and wake of tidal turbines.
MedLine Citation:
PMID:  23319711     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
The actuator disc-RANS model has widely been used in wind and tidal energy to predict the wake of a horizontal axis turbine. The model is appropriate where large-scale effects of the turbine on a flow are of interest, for example, when considering environmental impacts, or arrays of devices. The accuracy of the model for modelling the wake of tidal stream turbines has not been demonstrated, and flow predictions presented in the literature for similar modelled scenarios vary significantly. This paper compares the results of the actuator disc-RANS model, where the turbine forces have been derived using a blade-element approach, to experimental data measured in the wake of a scaled turbine. It also compares the results with those of a simpler uniform actuator disc model. The comparisons show that the model is accurate and can predict up to 94 per cent of the variation in the experimental velocity data measured on the centreline of the wake, therefore demonstrating that the actuator disc-RANS model is an accurate approach for modelling a turbine wake, and a conservative approach to predict performance and loads. It can therefore be applied to similar scenarios with confidence.
Authors:
W M J Batten; M E Harrison; A S Bahaj
Publication Detail:
Type:  Journal Article     Date:  2013-01-14
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  371     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-15     Completed Date:  2013-02-21     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20120293     Citation Subset:  -    
Affiliation:
Sustainable Energy Research Group, Energy and Climate Change Division, Faculty of Engineering and the Environment, University of Southampton, Southampton SO17 1BJ, UK. wmjb@soton.ac.uk
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