gPROMS for biotechnology process modelling

Unsurpassed modelling power for complex biotechnology processes

Biotechnology process modelling in gPROMS

Modeling microbial fermentation poses substantial challenges in many aspects.

gPROMS provides the necessary framework for modelling fermentation processes to a level of detail – and hence predictive accuracy – that has not been possible before.

gPROMS is uniquely suited to the comprehensive modelling of biotechnology processes.

All process analysis functions from the initial process feasibility to final design, control and optimisation of the process operation can be completed without leaving the gPROMS environment.

In particular, gPROMS provides:

Modelling power. gPROMS ModelBuilder's flexibility and power make it is easy to construct, solve and maintain the most complex models.
Modelling accuracy. gPROMS provides the ability to model many complex effects using a first-principles approach validated against laboratory or operating data, within a single solution framework
Ancillary operations. gPROMS can model support and separation functions such as crystallisation, adsorption, filtration, drying, precipitation/dissolution, vaporisation, extraction, stripping and other recovery operations.
Flowsheeting
Incorporation of experimental data. gPROMS provides facilties to rigorously incorporate experimental data into models to enhance their accuracy.
Model-based data analysis. gPROMS' Parameter Estimation capabilities allow validation of model parameters from dynamic and/or steady-state experimental data.
Model-based experiment design. Technology-leading experiment design facilities allow you to design optimal experiments that provide maximum information.
Dynamic optimisation can be used for process design optimisation, design of optimal operating policy, process control design and predicting transitional response to potential upsets.
Integer optimisation can be used to determine the optimal number of stages. based on rigorous quantitative information.
Model-Based Innovation (MBI). gPROMS models are at the core of MBI, a technology designed to accelerate innovation and help manage risk during design or enhancement of processes.
Model re-use. gPROMS models can execute inside other widely used software such as Simulink, MATLAB, steady-state flowsheeting software, CFD packages, using the gPROMS Objects.
Hybrid modelling or co-simulation. gPROMS models can execute in parallel with CFD software such as Fluent® to provide a unprecedented predictive accuracy for systems where mixing effects are significant.
Online capabilities. Models can be used online for process and equipment health monitoring, soft-sensing, model-based predictive control (MPC) and real-time optimisation.
Solution power. gPROMS' state-of-the-art solvers are designed specifically for solving the large and mathematically complex set of equations arising from high-accuracy modelling of biotechnology processes.

PSE models

PSE has sophisticated models of biotreatment and fermentation processes, developed by personnel with many years' experience in biotechnology process modelling.

We supply these – as with many other application areas – as part of ModelCare consulting projects, working closely with customer modelling, business, operations and R&D personnel. This ensures that:

models are customised to reflect your process to a high level of predictive accuracy
they incorporate your data where possible
projects are delivered rapidly and to a high level of quality assurance
we can bring our expertise to bear to guide your experimental and data gathering programmes to provide the maximum quality of information with minimum time and cost
modelling know-how is transferred to your personnel to build a capability for the future.

We also develop models for specific processes based upon individual requirements.

Unlike other "closed" models which are black boxes to the user, gPROMS allows you direct access to the model if desired; alternatively you may simply apply the standard models without ever viewing an equation.

If preferred, you can use the PSE models as a base, substituting your own equations, amending the existing equations, or creating an entirely new model that represents a specific proprietary unit. Typically this is done with our guidance under a ModelCare agreement.