Speaker
Description
The impact on process performance after changing parameters like burner mass fluxes, dwell time, or gas composition is vital knowledge. It can be obtained by various methods as for example experimental setups, or computational fluids dynamic (CFD) simulation. The disadvantage of those conventional methods is that they are time-consuming and expensive for full-size industrial applications. However, another way of retrieving some of the desired knowledge is to apply a simulation procedure that divides the computational domain into multiple one-dimensional zones that are coupled with each other and implicitly solved. This reduces the complexity of the computational domain and makes it possible to generate transient simulation results for hours of process time of full-size industrial furnaces within minutes of computational time. A crucial factor to fully describe furnaces is the radiative heat transfer, which is regarding industrial furnaces the dominant mode of heat transfer. The motivation of this paper is to present a practical procedure to model radiation using a surface-to-surface (S2S) approach and implement it in the implicit multiple one-dimensional structure. A major challenge described will be its modification to allow the computation of dynamic systems without losing time to compute the required view factor matrices each time the computation geometry changes. Subsequently, the results of the implemented algorithm are statistically evaluated and checked for their plausibility and runtime performance.