Simulating tidal turbines with multi-scale mesh optimisation techniques

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Title: Simulating tidal turbines with multi-scale mesh optimisation techniques
Authors: Abolghasemi, M
Piggott, MD
Spinneken, J
Vire, A
Cotter, CJ
Crammond, S
Item Type: Journal Article
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.
Issue Date: 6-Aug-2016
Date of Acceptance: 1-Jul-2016
ISSN: 1095-8622
Publisher: Elsevier
Start Page: 69
End Page: 90
Journal / Book Title: Journal of Fluids and Structures
Volume: 66
Copyright Statement: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (
Sponsor/Funder: Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/L000407/1
Keywords: Fluids & Plasmas
Publication Status: Published
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering
Earth Science and Engineering
Centre for Environmental Policy
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences
Grantham Institute for Climate Change

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