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2. ENGINEERING AND TECHNOLOGY
One of the most popular methodologies used to predict the wake of a tidal stream turbine (TST) is the RANS turbulence models coupled with the actuator disk method. This methodology has been widely adopted in the in the wind industry, since the mid-1990s, to predict wake development of wind turbines. Moreover, the reason for its popularity is its capability to give accurate results at an affordable computational cost, and the application of 2-dimensional actuator disk approach could further reduce the computational cost. In this paper, a number of RANS turbulence models represented by a porous disk were used to simulate the wake development behind a TST, the findings were compared. The models adopted in this work are the Standard k-ε model, the Standard k-ω model, the RNG (Re-Normalised Group) k-ε model, the SST (Shear Stress Transport) k-ω model and the RSM (Reynold Stress Model). The results are also validated against experimental measurements found in literature, with a key focus on comparing the downstream velocity and turbulence intensity. It has shown that the Standard k-ε model is best at predicting downstream wake velocities while the SST k-ω model is better at predicting downstream wake turbulence intensity. Mesh convergence studies were conducted to optimise the computational efficiency for each turbulence model used.
Pang, C.E., Kennedy, D. (2020). Comparison of RANS Turbulence Models in Predicting Wake Development in a 2-Dimensional Actuator Disk Model. 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2020), Osaka, Japan, June 29 - July 3. (conference cancelled due to Covid19 but papers were submitted and peer reviewed). doi:10.21427/hy7w-sm26