Modelling heat transfer during flow through a random packed bed of spheres

Abstract

Heat transfer in a random packed bed of monosized iron ore pellets is modelled with both a discrete three-dimensional system of spheres and a continuous Computational Fluid Dynamics (CFD) model. Results show a good agreement between the two models for average values over a cross section of the bed for an even temperature profiles at the inlet. The advantage with the discrete model is that it captures local effects such as decreased heat transfer in sections with low speed. The disadvantage is that it is computationally heavy for larger systems of pellets. If averaged values are sufficient, the CFD model is an attractive alternative that is easy to couple to the physics up-and downstream the packed bed. The good agreement between the discrete and continuous model furthermore indicates that the discrete model may be used also on non-Stokian flow in the transitional region between laminar and turbulent flow, as turbulent effects show little influence of the overall heat transfer rates in the continuous model.

A pseudo-local heat transfer approach in a low tube to particle diameter ratio packed bed catalytic reactor: Oxidative dehydrogenation of ethane as a case study

“…Firstly, although fluid dynamics is, nowadays, most often neglected when modeling a wall-cooled packed bed reactor [3,27,31,37,44,46,48], it is well-accepted that it impacts heat transfer mechanisms and, hence, the prediction of the temperature profiles. Navier-Stokes-Darcy-Forchheimer (NSDF) based models [5,36,38,41,42,49] or Brinkman-Darcy-Forchheimer (BDF) based models [15,50,51], including the two-zones-based models [33,52],…”