Speaker
Description
A volumetric lattice Boltzmann method implemented on a GPU-accelerated algorithm is employed to simulate conjugate heat transfer coupled with single-phase flow in porous media. By systematically varying the injection velocity, thermal diffusivity, and structural heterogeneity, the proposed model explicitly resolves local thermal non-equilibrium between the fluid and solid phases induced by convection and thermal dispersion. This framework enables a quantitative assessment of the effects of hydraulic, thermal, and structural factors on conjugate heat-transfer behaviour. Numerical results indicate that the injection velocity, solid thermal diffusivity, and the correlation length of the porous structure significantly influence both the spatial distribution of temperature and its temporal evolution. The corresponding upscaled parameters, namely the effective thermal dispersion coefficient and the effective heat-transfer velocity, are evaluated for each case. The results demonstrate that these parameters vary with flow, thermal, and structural conditions and therefore should be treated as variable rather than constant quantities in large-scale simulations. A heat-transfer regime diagram is constructed, identifying diffusion-dominated, transitional, and advection-dominated regimes under different injection velocities and correlation lengths. This study provides pore-scale insights into the prediction of thermal breakthrough curves in porous media and the determination of upscaled thermal transport parameters, and bridges pore-scale conjugate heat-transfer mechanisms and field-scale thermal transport models, with implications for subsurface energy-engineering applications such as geothermal development and thermal energy storage.
| Country | United Kingdom |
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