For some chemical processes that are difficult to reach a steady state due to the existence of batch process or material recycle

as well as some nonlinear processes that difficultly operate nearby their desired set-points or reference trajectory because of the presence of disturbance

the sub-optimal or invalid optimal solutions will be derived if the normal steady state optimization scheme is used.In this paper

a dynamic real-time optimization strategy used for solving the optimum of the significant variables in chemical processes dynamically is proposed.Such a scheme is implemented in a hierarchical control structure

namely

the real-time optimization

which locates the top level in such hierarchy

is in charge of solving the optimum of some critical variables based on the dynamic model of a process

such optimization scheme is a kind of dynamic optimization other than steady state one

meanwhile

such scheme considers both dynamics of a process and material

prices of product in recent market

so the optimal economic profit will be arrived.The feasibility and efficiency of the proposed method is illustrated by a case study.