Simulations in porous media widely adopt macroscopic models of transport phenomena. These models are computationally efficient as not all geometrical details at the pore scale are accounted for. Generally, these models require closure relations for effective transport parameters, where the parameters are used to convey information from the pore scale to the macroscale. Proper closure can only result from detailed knowledge of the characteristic behavior of pore-scale transport. This thesis details the development of a numerical algorithm for simulating the pore-scale flow of an incompressible fluid with conjugate heat transfer using spatially periodic geometric models of porous media. The simulations use geometric data on the pore network extracted from detailed images taken using X-ray computed tomography. Subsequent processing of the pore-scale results, i.e., velocity, pressure and temperature, yields predictions for effective transport parameters. The primary focus will be the transport parameters that quantify flow resistance and the rate of interphase heat exchange, i.e., the permeability and the interfacial heat-transfer coefficient, respectively. We describe the numerical approach and its validation in simplified geometric models of porous media, as well as compare it directly to data from a physical experiment, thereby establishing the effectiveness of the method.
|Award date||27 Sep 2012|
|Place of Publication||Enschede|
|Publication status||Published - 27 Sep 2012|