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Characterization of the mean flow field in the far wake region behind ocean current turbines

Journal Article · · Journal of Ocean Engineering and Marine Energy
 [1];  [2];  [3];  [3]
  1. Florida Atlantic Univ., Boca Raton, FL (United States); Florida Atlantic University
  2. Northwestern Polytechnical Univ., Xi'an, Shaanxi (China)
  3. Florida Atlantic Univ., Boca Raton, FL (United States)
Herein this paper forms, optimizes, and evaluates three numerical approaches for characterizing mean velocities in far wake region behind ocean current turbines. These approaches are derived from wake models originally developed for wind turbines and are referred here as the Larsen/Larsen, Larsen/Ainslie, and Jensen/Ainslie approaches based on the researchers originally credited with developing the expressions for dependence of the mean wake velocity on centerline and/or radial locations. The numerical coefficients utilized by these approaches are optimized to best match Computational fluid dynamics (CFD) generated wake velocity data. After optimizing the coefficients, this study finds that the Larsen/Ainslie and Jensen/Ainslie approaches best match the CFD generated flow data, with Larsen/Ainslie being the best match for an ambient turbulence intensity (TI) of 3% and Jensen/Ainslie being the best match for TIs of 6 and 9%.
Research Organization:
Florida Atlantic Univ., Boca Raton, FL (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
Grant/Contract Number:
EE0004200
OSTI ID:
1986598
Journal Information:
Journal of Ocean Engineering and Marine Energy, Journal Name: Journal of Ocean Engineering and Marine Energy Journal Issue: 2 Vol. 3; ISSN 2198-6444
Publisher:
Springer International PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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