By Esteban Ferrer, Adeline Montlaur
The e-book encompasses novel CFD suggestions to compute offshore wind and tidal applications.
Computational fluid dynamics (CFD) strategies are considered as the most layout device to discover the hot engineering demanding situations awarded by way of offshore wind and tidal generators for power iteration. the trouble and prices of venture experimental checks in offshore environments have elevated the curiosity within the box of CFD that's used to layout applicable generators and blades, comprehend fluid move actual phenomena linked to offshore environments, expect strength construction or characterise offshore environments, among different issues.
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Extra info for CFD for Wind and Tidal Offshore Turbines
4 Discontinuous-Galerkin Solver The DG solver is described briefly below, for full details on it see [7, 8]. The solver is high order and is capable of handling a rotating portion of mesh within the main static mesh. This is achieved using curved element boundaries and hanging nodes. A second-order stiffly stable finite difference method is used for temporal discretisation of the Navier–Stokes equations. For spatial discretisation in the x–y plane, the symmetric interior penalty Galerkin formulation with modal basis functions is used, allowing the hanging nodes and sliding meshes necessary for the rotating portion of the mesh without the need for mortar type techniques.
22]. This kernel is smoother and has a wider support than other kernels [13, 15] which is translated in a smoother transition of the interpolations and reduction of spurious force oscillations. 2 Parallelization The code presents an efficient hybrid Message Passing Interface (MPI) and OpenMP parallelization, Fraga et al. . The fluid flow is solved in a rectangular Cartesian domain which is parallelized using MPI, and split into several blocks assigned to different processors. Although communication between blocks is required, this type of parallelization notably reduces the computational effort for the pressure Poisson equation solver using multi-grid.
This technique allows relative sliding of one grid adjacent to another grid (static or in motion). However, when a high-order method is used, the interpolation used in the sliding mesh model needs to be of, at least, the same order than the numerical scheme, in order to prevent loss of accuracy. In this work we present a sliding mesh model based on the use of Moving Least Squares (MLS) approximations. It is used with a high-order (>2) finite volume method that computes the derivatives of the Taylor reconstruction inside each control volume using MLS approximants.