Study on the Influence of Particle Topological Structure Based on Lattice Boltzmann Method on the Evolution of Wind Turbine Wake Flow
The lattice Boltzmann method(LBM)is known for its characteristic of being grid-free.However,in the spatial discretization process,the particle topology should match the flow field structure.The topology structure consists of various scales,including the far-field particle scale,near-wall particle scale,dynamic particle density threshold scale for vortex structures,and the transitional length scale for particle refinement.In this study,we conducted an optimization research on the topological relationship of particle distribution using the LBM,taking into consideration the scale of the vortex core at the blade tip.We compared and analyzed the accuracy of predicting the wake flow of the MEXICO wind turbine,aiming to establish the optimal particle topology structure for wind turbine wake simulation that balances computational efficiency and accuracy.The research findings indicate that the near-wall particle scale and the transitional length scale for particle refinement have a significant impact on the wake flow,while the scale of dynamic particle distribution in vortex structures has a relatively smaller influence.The near-wall particle scale should not be lower than one-sixth of the simulated vortex core scale at the blade tip,and the length of the first transitional layer is approximately twice the size of the vortex core scale.When the particle refinement scale is set to one-third of the vortex core scale,the accuracy of wind turbine wake simulation can achieve a balance between computational efficiency and accuracy.
NETL
NSTL
万方数据
维普
