Monday 20 February 2012

Process Systems Enterprise gPROMS v3.31

Process Systems Enterprise gPROMS v3.31 | 130 MB

gPROMS is the leading Advanced Process Modelling environment for the process industries. It can be applied across many application areas in all process sectors. gPROMS's process modelling, process simulation and optimisation capabilities are used to generate high-accuracy predictive information for decision support in product and process innovation, design and operation. It is applied by major process and technology organisations throughout the world, as well as for research and teaching at 200 academic institutions worldwide. gPROMS has many major advantages over other modelling systems on the market, resulting from its modelling power and the sophistication of the models it is possible to create.


gPROMS is an equation-oriented modelling system used for building, validating and executing first-principles models within a flowsheeting framework.

Models are constructed in the gPROMS ModelBuilder by writing down the fundamental chemistry, physics, chemical engineering, operating procedures and other relationships that govern the process or product behaviour.

The resulting model is then validated against observed data — typically, laboratory, pilot plant or operating data — to adjust model parameters such as heat transfer coefficients to match reality as closely as possible.

Of course, it is not necessary to create a model from scratch every time – you can use one of the many state-of-the-art gPROMS model libraries, or create your own library for publishing throughout your organisation.

Solution accuracy – for multiple applications

The first-principles approach combined with rigorous validation results in models of unprecedented accuracy.

Once a model exists, it can be solved in many different ways to perform many different activities – for example, steady-state simulation, dynamic simulation, parameter estimation, model-based experiment design, steady-state and dynamic optimisation, including integer optimisation, or generation of linearised models for use in control and online optimisation, across the process lifecycle.

This means that once you have invested in creating an accurate gPROMS model of your process you can use that model wherever it can generate value, to ensure multiple return on investment.


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