This paper focuses on a method to simulate dynamic models of chemical
processes. Such models are usually sparse and stiff and the method in
question splits the system into fast and slow modes before using an im
plicit integration method for the fast modes in the system and an expl
icit method for the slow modes. The splitting is achieved by analyzing
the system and includes finding a suitable dimension for the fast mod
es and doing transformations on the system to obtain the best performa
nce for the integrator when integrating the total system. Numerical ex
periments on a simple process model are done to illustrate the methods
principles. (C) 1998 Elsevier Science Ltd. All rights reserved.