TY - JOUR
TI - Tidal turbine array modelling using goal-oriented mesh adaptation
AU - Wallwork, J
AU - Angeloudis, A
AU - Barral, N
AU - Mackie, L
AU - Kramer, S
AU - Piggott, M
T2 - Journal of ocean Engineering and Marine Energy
AB - To examine the accuracy and sensitivity of tidal array performance assessment by numerical techniques applying goal-oriented mesh adaptation. The goal-oriented framework is designed to give rise to adaptive meshes upon which a given diagnostic quantity of interest (QoI) can be accurately captured, whilst maintaining a low overall computational cost. We seek to improve the accuracy of the discontinuous Galerkin method applied to a depth-averaged shallow water model of a tidal energy farm, where turbines are represented using a drag parametrisation and the energy output is specified as the QoI. Two goal-oriented adaptation strategies are considered, which give rise to meshes with isotropic and anisotropic elements. We present both fixed mesh and goal-oriented adaptive mesh simulations for an established test case involving an idealised tidal turbine array positioned in a channel. With both the fixed meshes and the goal-oriented methodologies, we reproduce results from the literature which demonstrate how a staggered array configuration extracts more energy than an aligned array. We also make detailed qualitative and quantitative comparisons between the fixed mesh and adaptive outputs. The proposed goal-oriented mesh adaptation strategies are validated for the purposes of tidal energy resource assessment. Using only a tenth of the number of degrees of freedom as a high-resolution fixed mesh benchmark and lower overall runtime, they are shown to enable energy output differences smaller than 2% for a tidal array test case with aligned rows of turbines and less than 10% for a staggered array configuration.
DA - 2023/12//
PY - 2023
VL - 10
SP - 193
EP - 216
UR - https://link.springer.com/article/10.1007/s40722-023-00307-9
DO - 10.1007/s40722-023-00307-9
LA - English
KW - Current
KW - Tidal
KW - Modeling
KW - Performance
ER -