Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Professor of Computational Mathematics



+44 (0)20 7594 3468colin.cotter




755Huxley BuildingSouth Kensington Campus






BibTex format

author = {Abolghasemi, M and Piggott, MD and Spinneken, J and Vire, A and Cotter, CJ and Crammond, S},
doi = {10.1016/j.jfluidstructs.2016.07.007},
journal = {Journal of Fluids and Structures},
pages = {69--90},
title = {Simulating tidal turbines with multi-scale mesh optimisation techniques},
url = {},
volume = {66},
year = {2016}

RIS format (EndNote, RefMan)

AB - 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.
AU - Abolghasemi,M
AU - Piggott,MD
AU - Spinneken,J
AU - Vire,A
AU - Cotter,CJ
AU - Crammond,S
DO - 10.1016/j.jfluidstructs.2016.07.007
EP - 90
PY - 2016///
SN - 1095-8622
SP - 69
TI - Simulating tidal turbines with multi-scale mesh optimisation techniques
T2 - Journal of Fluids and Structures
UR -
UR -
VL - 66
ER -