Abstract: State space approach is an effective method to mass-exchange network (MEN) synthesis. By
decom-posing the network into two interactive parts, a distribution network and a process
operator, the synthesis problemcan be formulated into a mixed integer nonlinear programming
(MINLP) model. In this article, a generalized statespace model based on typical MEN is
established and verified in two cases. A new asymmetrical operator and costindex are also
adopted to speed up the solution process. The results demonstrate the efficiency of the
proposedapproach.

Key words: mass exchange network, state space, synthesis, optimization

摘要： State space approach is an effective method to mass-exchange network (MEN) synthesis. By
decom-posing the network into two interactive parts, a distribution network and a process
operator, the synthesis problemcan be formulated into a mixed integer nonlinear programming
(MINLP) model. In this article, a generalized statespace model based on typical MEN is
established and verified in two cases. A new asymmetrical operator and costindex are also
adopted to speed up the solution process. The results demonstrate the efficiency of the
proposedapproach.

关键词: mass exchange network;state space;synthesis;optimization