A Kalman filter (KF) estimator has been formulated using a sequence of reduced-order models representing a whole batch behavior for providing the estimates of dynamic composition in a ternary batch distillation process operated in an optimal-reflux policy. A set of full-order models is firstly obtained by linearizing around different pseudo-steady state operating conditions along batch optimal ...

I N T R O D U C T I O N Although batch distillation generally is less energy efficient than continuous distillation, it has leceived increased attention in the last few years because of its simplicity of operation, flexibility and lower capital cost. For many years academic research on batch distillation was focused primarily on optimizing the reflux policy. However, in most cases the differenc...

A simple experiment such as the batch distillation of an ethanol–water binary mixture can be performed in a 3-h laboratory session using a very rudimentary apparatus consisting of a still pot and two thermocouples. Yet, the results can lead to very interesting insights to distillation and chemical engineering thermodynamics. The present article describes how one can exploit this simple laborato...

A new double column system (DCS) operated in closed mode is suggested for heterogeneous batch distillation. This configuration is investigated by feasibility studies based on the assumption of maximal separation and is compared with the traditional batch rectifier (BR). We study the configurations also by dynamic simulation based on a detailed model using a professional simulator. For the new c...

The problem of designing an on-line optimizing robust output-feedback (OF) controller for binary batch distillation columns with temperature measurements is addressed. The combination of optimality, passivity and detectability notions leads to an estimator-based material balance controller that, for an ample range of load compositions maximizes the profit and yields the prespecified product pur...

The standard approach to deal with uncertainty in dynamic optimization is to tak e a conservativ e stand. Measurement-based optimization schemes allow reducing this conservatism by using measurements to compensate for the uncertainty. On the example of productivity optimization of a batch distillation column with a terminal quality constraint, various measurement-based optimization schemes are ...