Abstract:Process Engineering, as a branch of engineering science, concerns the commonness in the processes of physical, chemical and biological conversions. Scale-up and optimization of these processes from lab scale to pilot scale and ultimately to commercial scale is fairly complicated and therefore a bottleneck in process engineering. Process simulation offers the possibility of understanding the system complexity and fastening the design and optimization. In contrast to the rapid development of computer hardware, capability improvement on model prediction lags very much. This is due to the limited understanding on complicated multi-scale structure in which meso-scale still remains a challenging issue. To bridge the gap, the multi-scale structure must be embodied in modeling and simulation simultaneously for the four different levels, namely, problems, models, software and hardware. The consistence in these four levels on description of multi-scale structure may lead to a multi-scale super-computation par