ADVANCED PROCESS MODELLINGThe gPROMS product family

Operations in UK, Switzerland, USA, Japan, Korea, China, Taiwan Malaysia and Saudi Arabia.

UK Head Office t: +44 20 8563 0888 e: info@psenterprise.com

psenterprise.com

The Advanced Process Modelling Company

PSE provides a family of powerful process modelling tools built on the gPROMS® Advanced Process Modelling platform.

gPROMS family products are used to explore the decision space rapidly and effectively, to enable process organisations to make better, faster and safer design and operating decisions.

All products contain state-of-the-art steady-state and dynamic model libraries that provide an accurate predictive capability for simulation and optimisation. Models can be validated against laboratory or operating data using gPROMS’s advanced parameter estimation capabilities.

THE POWER TO BE CERTAIN

n High-fidelity models

n Custom modelling

n Equation-oriented solution power

n Steady-state and dynamic in the same environment

n Powerful dynamic and mixed-integer optimisation

n Advanced parameter estimation

n Batch and continuous in the same environment

PSE

Prod

ucts

GLC FBCR

Chemicals & PetrochemicalsGeneral mathematical modelling

GLC FBCR

Solids processoptimisation

Crystallization process optimisation

Oral absorption modelling

CCS system modelling

Fuel cell stack & system design

Flare networks, depressurisation

Wastewater systems optimisation

Life Sciences, Food & Consumer goods, Specialty & Agrochemicals

Power & CCS

Fuel Cells & Batteries Oil & Gas

Wastewater Treatment

gPROMS ModelBuilderAdvanced process modelling environment

gPROMS ProcessBuilderAdvanced process simulation environment

Advanced model libraries for reaction and separation

gPROMS PLATFORM FEATURES

Find out how the gPROMS product family can optimise your processes at

psenterprise.com

EnvironmentA graphical user environment with drag

& drop flowsheeting, easy specification

dialogs and comprehensive results

management helps ensure productivity at

every stage.

Powerful optimisation capabilitiesgPROMS’s powerful optimisation facilities

allow you to optimise the values of

many decision variables simultaneously.

This means that you can optimise

whole plant economics, rather than

optimising individual sections at the

expense of others. Unique mixed integer

optimisation allows you to determine e.g.

optimal distillation column feed and draw

tray locations, or batch vessel sizes.

Equation-oriented powergPROMS’s equation-oriented approach,

underpinned by leading numerical

solution and optimisation techniques,

provides rapid and robust solution of

complex large-scale problems with

complex recycles. This opens the door

for applications such as whole-plant

optimisation, or deployment of high-

fidelity models online.

Process model librariesSophisticated models of many different

types of unit operation – from standard

process equipment to specialised units

such as crystallizers or fuel cells – make

accurate representation of your process

easy. PSE’s advanced model libraries

for catalytic reaction and rate-based

separation are leaders in their fields.

The world’s leading custom modelling environment Powerful facilities for distributed

modelling, context-sensitive help and

many other features make it easy to

write custom models specific to your

processes, allowing you to maximise

competitive advantage.

Integrated vapour, liquid, solids modellingIntegrated vapour, liquid, solids

modelling allows you to develop an

accurate representation of particulate

and multiphase processes in the same

flowsheet. PSE’s implementation can be

used in both steady-state or dynamic

mode for design and operation, effective

modelling of start-up and shutdown

procedures and troubleshooting of

complex processes.

Advanced parameter estimationAdvanced parameter estimation

techniques allow fitting of multiple

parameters to multiple steady-state and

dynamic experiments – meaning that you

can validate models to provide a high

degree of predictive accuracy across

the decision space. Uncertainty analysis

helps you identify areas of technology

risk and determine where to invest in

further R&D.

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