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Journal article

Simulating tidal turbines with multi-scale mesh optimisation techniques

Abstract:
Embedding tidal turbines within simulations of realistic large-scale tidal flows is a highly multi-scale problem that poses significant computational challenges. Here this problem is tackled using actuator disc momentum (ADM) theory and Reynolds-averaged Navier– Stokes (RANS) with, for the first time, dynamically adaptive mesh optimisation techniques. Both k − ω and k − ω SST RANS models have been developed within the Fluidity framework, an adaptive mesh CFD solver, and the model is validated against two sets of experimental flume test results. A brief comparison against a similar OpenFOAM model is presented to portray the benefits of the finite element discretisation scheme employed in the Fluidity ADM model. This model has been developed with the aim that it will be seamlessly combined with larger numerical models simulating tidal flows in realistic domains. This is where the mesh optimisation capability is a major advantage as it enables the mesh to be refined dynamically in time and only in the locations required, thus making optimal use of limited computational resources.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jfluidstructs.2016.07.007

Authors

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-7726-1688


Publisher:
Elsevier
Journal:
Journal of Fluids and Structures More from this journal
Volume:
66
Pages:
69-90
Publication date:
2016-08-06
Acceptance date:
2016-07-01
DOI:
EISSN:
1095-8622
ISSN:
0889-9746


Language:
English
Keywords:
Pubs id:
pubs:800039
UUID:
uuid:59734685-5bde-496d-b646-336627b983a5
Local pid:
pubs:800039
Source identifiers:
800039
Deposit date:
2019-07-04
ARK identifier:

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