The simulation of fluid flow around wind turbines is key to improve the performance and reliability of wind turbines in varying wind conditions. To quantify the impact of complex wind patterns on wind turbine components, high-fidelity simulations are essential. Thus, we investigate a method for simulating wind dynamics induced by a three-blade turbine with the Lattice Boltzmann Method (LBM) implemented for GPUs. Our approach uses a rotating overset lattice, where the wind turbine rotor is embedded in a lattice that rotates synchronously with the rotor. The rotating lattice is coupled with a static lattice that represents the surrounding fluid domain. An efficient and accurate interpolation technique for the coupling of the lattices is pivotal for this approach. We use a compact quadratic interpolation technique tailored to the cumulant LBM. The interpolation process involves rotating the distributions by manipulating their moments, while also accounting for Coriolis and centrifugal forces on the rotating mesh. In addition, the compact quadratic interpolation is optimized for massively parallel execution on a graphics processing unit (GPU) to reduce simulation times. This improves the scalability of our approach and provides a promising solution for advancing high-fidelity simulations of rotating objects.

The modelling of fluid-filled vesicles \textemdash such as red blood cells (RBCs) \textemdash has obvious importance in the field of biomedical science. Given a healthy human RBC has dimensions of approximately 8$\mu$m in length and 2$\mu$m in width, the modelling of RBCs often utilises mesoscale modelling approaches such as single-component lattice Boltzmann method (SCLBM).

Presented here is an alternative approach to simulating vesicles in three-dimensions using chromodynamic multi-component lattice Boltzmann method (cMCLBM).

By capitalising on the natural disparity in length scales—typified by the RBC membrane's width of approximately 40nm—and operating within the continuum approximation of fluids, the RBC's interior is conceptualised as one immiscible fluid, its exterior as another, and the quasi-two-dimensional interface between them as the \textit{de-facto} membrane. The primary advantage of this approach lies in its unified methodology, requiring only the cMCLBM framework to model both fluids and the deformable body. This presentation outlines the model, showing: (i) the foundational methodology, (ii) two-component simulations (a single vesicle), and (iii) the expansion of the methodology to simulate multiple vesicles, with attention being drawn to the advantages of such an approach.

In the last decades, Micro-channels and micro-cavities becomes a subject of interest of many researchers due to their higher efficiency. The contemporary study aims to numerically analyze the convective heat transfer and entropy generation analysis for the case of a micro-channel filled with Cu/water under the effect of inclination angle in the slip flow regime. a series of numerical simulations based on the Lattice Boltzmann method are carried out in a micro medium filled with nanoliquid. To resolve the governing equations, a special treatment of boundary conditions precisely at the side walls is done. The obtained results are presented in terms of heat transfer rate and surface distribution of entropy generation.