Modelling and simulation of pharmaceutical processes

Design and optimisation of operations for separation processes

gPROMS can be used to model virtually any kind of separation process – from standard and reactive distillation and absorption to membrane and chromatographic separation processes.

PSE's rate-based Advanced Model Library for Gas-Liquid Contactors (AML:GLC) is specifically designed for the type of separations encountered in pharmaceutical production.

It uses detailed multi-component mass and heat transfer models coupled with rigorous reaction kinetics where necessary to provide the most accurate possible batch or continuous process representation.

In addition, it provides the flexibility to construct any kind of configuration, including complex heat-integrated (e.g. partition wall) designs.

Because of gPROMS' advanced dynamic modelling and optimisation capabilities, it is becoming the tool of choice for modelling of Cyclic Separation Processes, such as the Simulated Moving Bed configuration used for chiral separation.

Benefits of modelling separation systems

Using a gPROMS Advanced Process Model of the separation process, it is possible to:

Model any configuration of separation device to a high degree of predictive accuracy.
Model fast reaction in the liquid and gas phases and in films
Optimise batch distillation to minimise batch times
Validate reaction kinetic constants from experimental data where necessary
Improve reliability and reproducability of processes
Optimise operating procedures and conditions for all separations to ensure maximum product quality and throughput
Develop an understanding of the separation processes that allows informed design and operating decisions in the future.

It is also possible to use gPROMS' integer optimisation capabilities to determine the optimal number of stages and feed tray locations.

How PSE can help

PSE's ModelCare service can provide you with a high-accuracy predictive model of your separation process, incorporating your own laboratory or pilot data where available. We can also advise on optimal experimental programmes.

We can then apply, or help you to apply, optimisation techniques to maximise quality, throughput and reproducability while minimising batch times.