GPU-powered CFD-DEM framework for modelling large-scale gas–solid reacting flows (GPU- rCFD-DEM) and an industry application

• Published in: Chemical engineering science Vol. 299; p. 120536
• Main Authors: Gou, Dazhao, Shen, Yansong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 05-11-2024
• Subjects: Blast furnace; CFD; DEM; Gas-solid reacting flow; GPU; Raceway; CFD; Raceway; Blast furnace; DEM; GPU; Gas-solid reacting flow
• ISSN: 0009-2509
• DOI: 10.1016/j.ces.2024.120536

•GPU-powered CFD-DEM model (GPU- rCFD-DEM) is developed to simulate the large-scale gas–solid reacting flow.•The coupling calculations between CFD and DEM are fully implemented on GPU.•Advanced coupling strategies are employed to enhance numerical stability.•Coke combustion in an industrial-scale blast furnace is simulated.
The coupling of CFD (computational fluid dynamics) and DEM (discrete element method) is extensively used for simulating gas–solid reacting flows in various industrial processes, while its high computational cost limits its industry applications, especially large-scale systems with a large number of particles and complex geometries. This paper reports a robust highly efficient GPU (graphics processing unit) − powered CFD-DEM coupling approach that is, for the first time, capable of simulating large-scale gas–solid reacting flow systems with complex geometries (GPU- rCFD-DEM). The fluid flow calculations are performed using CPU parallelization, while the particle flow simulations leverage GPU parallelization, and the coupling calculations between CFD and DEM are fully implemented on GPU. The model includes advanced coupling strategies to enhance numerical stability, especially when handling complex geometries with unstructured CFD meshes. The developed model is validated through experimental measurements and its computational performance is evaluated by comparison with previous GPU-based simulations. It shows good agreement with the experiments and superior performance compared to the traditional coupling method. The model is then applied to simulate raceway dynamics and coke combustion in an industrial-scale blast furnace, showcasing its effectiveness in handling complex geometries and a huge number of particles in gas–solid reacting flows. This work provides an efficient and robust solution for numerically simulating industrial applications of gas–solid reacting flow systems.