gPROMS: examples of application

Advanced technology that can be applied across the process lifecycle

gPROMS is used to generate high-quality predictive information for decision support in all aspects of design and operation, across all sectors of the process industries.

Typical application areas are those that involve complex physical and chemical phenomena, such as reaction engineering, crystallisation and complex separation processes.

This document provides an overview of how gPROMS technologies can be applied to generic process challenges. There are many more examples of how APM is applied in industry in the examples summary and in the application areas section.

Typical applications

Some typical examples of the applications above, and the gPROMS technologies that they use, are:

Application	gPROMS technologies used
Steady-state flowsheeting for process design	Steady-state simulation
Design of optimal laboratory experiments to capture reaction kinetic parameter values	Experiment design Parameter estimation
Detailed reactor design for innovative reactor configurations	Advanced Model Libraries Custom modelling Steady-state simulation Dynamic simulation Parameter estimation Optimisation Links to CFD
Crystalliser scale-up for new crystalliser configurations	Advanced Model Libraries Custom modelling Steady-state simulation Dynamic simulation Parameter estimation Optimisation Links to CFD
Process synthesis and optimisation of operating policy for batch processes	Integer optimisation Steady-state simulation Dynamic simulation Dynamic optimisation
Simultaneous equipment and control design	Integer optimisation Dynamic optimisation
Determining optimal startup procedures	gPROMS task language Dynamic simulation Dynamic optimisation
Online trajectory optimisation for grade or feedstock change	Dynamic optimisation Linear model generation
Online performance and equipment monitoring, soft-sensing; etc.	Parameter estimation Steady-state simulation Dynamic simulation
Detemining optimal feedstock purchasing	Integer optimisation Steady-state optimisation
and many, many more …