Process Systems Enterprise Limited
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gPROMS for academics

Supporting scientific research with accurate numbers

gPROMS is a complete mathematical modelling environment. It can be used to solve large sets of differential and algebraic equations in many different contexts, estimate parameters from experimental data, work with ODE and partial differential systems and much much more.

Researchers investigating complex areas such as biomedical applications benefit from the systems engineering approach embodied in gPROMS.

Key advantages

Simply enter equations in natural language form

 

 

 

 

 

gPROMS has powerful, state-of-the-art parameter estimation capabilities for model validation

 

 

 

 

A major advantage of using gPROMS are its facilities for combining first-principles models of physics and chemistry with experimental (laboratory or pilot) data.

Powerful model-based data analysis tools allow model parameters to be estimated accurately from experimental data, simplifying analysis and allowing close integration of experimentation with analysis and other aspects of research.

In addition, model-based experiment design techniques can be used to minimise experiment time and cost while maximising information from each experiment.

What does gPROMS offer?

gPROMS is an equation-oriented, simultaneous solution environment. No programming is required: users enter first-principles relationships as equations, and gPROMS takes care of the solution automatically.

Essentially, gPROMS enables you to concentrate on physics and chemistry, without the need to spend time worrying about how the underlying equations are to be solved.

gPROMS has a number of key advantages as a modelling environment for scientific research. Here are just some:

Advanced, state-of-the-art equation-based modelling system with high-level description of integro-partial and ordinary differential and algebraic equations (IPDAEs)
High fidelity first-principles modelling with no programming required
Hierarchical modelling environment providing easy organisation of information
Lumped and distributed systems capability (space, size, property)
Powerful, robust and fast numeric solvers
State-of-the-art model validation and model-based data analysis against experimental data, with estimation of multiple model parameters
Multiple applications from the same model: steady-state and dynamic simulation, parameter estimation, optimisation and experiment design
Advanced optimisation features: dynamic optimisation and mixed-integer optimisation
Model-based optimal experiment design (dynamic and steady-state experiments)
Open software architecture with easy calls to external software (for example, physical properties databanks)
Solution of 1m+ simultaneous equations possible
Comprehensive QA facilities ensue that the all-critical numbers used in design and optimisation are auditable at any time.
Easily maintainable and auditable models with interchangeable text and language views for full control
Easy model transfer between students and supervisors
Integration with Computational Fluid Dynamics (CFD) for multi-scale modelling including detailed hydrodynamics
Integration with MATLAB® and Simulink®.
Easy integration with MS Excel and Visual Basic.