Optimization of a continuous distillation process under random inflow rate

Optimal Control of a Continuous Distillation Process under Probabilistic Constraints

A continuous distillation process with random inflow rate is considered. The aim is to find a control (feed rate, heat supply, reflux rate) which is optimal with respect to energy consumption and which is robust at the same time with respect to the stochastic level constraints in the feed tank. The solution approach is based on the formulation of probabilistic constraints. An overall model incl...

Chance Constrained Batch Distillation Process Optimization under Uncertainty

Uncertainties may have a large impact on equipment decisions, plant operability, and economic analysis. Thus the consideration of uncertainties in optimization approaches is necessary for robust process design and operation. As a part of it, efficient chance constrained programming has become an important field of research in process systems engineering. In this work, a new approach is proposed...

Solteq Continuous Distillation Column with Process Control

Homogeneous azeotropic pressure swing distillation: continuous and batch process

The separation of a binary homogeneous azeotropic mixture using pressure swing distillation will be analysed on the example of acetonitrile/water. Two different processes are considered: the continuous heatand mass-integrated process and the inverted batch process. For both processes a model is developed and experimental data are given. In the paper the potential of the pressure swing distillat...

Optimization of Distillation Processes

In this work we present an overview of the main advances in column sequence optimization in zeotropic systems, ranging from systems using only conventional columns, each with a condenser and a reboiler, to fully thermally coupled systems with a single reboiler and a single condenser in the entire sequence. We also review the rigorous design of distillation columns, or column sequences. In all t...