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Optimization in process engineering: state of the art and future trends

Woźny G., Li P., Wendt M.

Inżynieria Chemiczna i Procesowa

2001

T. 22, z. 3A

137--163

Process optimization plays an increasingly important role in design and operation of chemical processes. This paper presents an overview of the recent developments of optimization approaches and their applications in process engineering. The forms of optimization problems are classified and their properties analyzed. In particular, we concentrate our selves on the dynamic optimization, optimization under uncertainties and real-time optimization. Characteristics of such problems are addressed and state of the art solution approaches to these problems are presented. Applications of these approaches to several separation processes are given to demonstrate their effectiveness in practical application. Finally, some challenges and new trends in process optimization are discussed.

Adaptive control of multiple-fraction batch distillation for tracking optimal a priori policies

Pu Li, Woźny G.

Inżynieria Chemiczna i Procesowa

1998

T. 19, z. 3

511-529

Unlike one-fraction batch distillation using constant distillate composition control, a priori policies are to be tracked with control systems designed to realize the optimal operation of multiple-fraction batch distillation. Adaptive control is proposed to carry out this task. Based on a detail model, characteristics of batch distillation control are analysed and a proper system is designed for an existing multicomponent/multiple-fraction batch column. Besides tracking the optimal reflux ratio profile, the maximum vapour load must be maintained during the batch to realize the optimal operation of multiple-fraction batch distillation. In addition, a changing temperature profile of the condenser should be followed to reduce the operating energy with a possibly minimum subcooling. Recursive least square estimation (RLSE) with a variable forgetting factor is applied to the on-line identification of the plant to follow the changing dynamics of the process.Generalized predictive control (GPC) is successfully used to track the predefined policies. Moreover, we show that it is difficult to control the process satisfactorily over the whole batch time by PID controllers with fixed parameters.