The influence of pressure variations upon distillation operation does not seem to be well-understood in the open literature, because contradicting statements concerning the importance of pressure control on binary distillation are found. To minimize energy consumption, it is recommended to operate columns at minimum pressure; however, even if column pressure is controlled, instability may still...

In this article, the dynamics and shock-control in a Reactive Distillation Column (RDC) for the transesterification of ethanol and acetic acid was studied and simulated. The dynamic behavior of the process was experimentally analyzed. The reactants were conducted in a fifteen stages RDC in a single feed stream. An appropriate strategy was chosen and performed for column start up to achieve the ...

A heat-integrated prefractionator arrangement is studied for a ternary separation of a propane-butanepentane mixture. These types of integrated prefractionator arrangements have large energy savings compared with the best of the direct or indirect sequence with no heat integration. However, a heatintegrated distillation system can be more difficult to control than a non-integrated arrangement, ...

In a Petlyuk distillation column, two extra degrees of freedom can be used for optimisation purposes. It has been reported that a typical energy saving of 30% is achievable with a Petlyuk distillation column, compared to conventional distillation arrangements. However, the optimal steadystate operation point can be difficult to maintain in practice. In this work we have studied the performance ...

Abstract This paper presents the nonlinear dynamic analysis of an ideal two-reactant-two product reactive distillation. The impact of disturbance magnitudes and directions on openloop stability of the system is studied. An analysis of the physicochemical phenomena present in reactive distillation processes that, under certain operational conditions, causes special types of nonlinear behavior is...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...