The gPROMS platform is well known for its ability to deal with the most complex process applications thanks to the power of its underlying equation-oriented architecture.
gPROMS v5.0 introduces two exciting new technologies – global system analysis and dynamic state estimation – that can substantially increase the value from models. It also brings significant enhancements to the underlying solution technology.
In addition, v5.0 brings a new look-and-feel GUI, and many other new features.
Key new features – high-value application power, speed and robustness
gPROMS v5.0 has many new features aimed at increasing the value that companies can derive from their investment in modelling, and the solution power to deliver it:
Global system analysis
This major new functionality makes it easy to explore the complex decision space for process design and operation rapidly and effectively using high-fidelity models.
Dynamic state estimation
The new state estimation capability makes it possible to use plant data in conjunction with high-fidelity process models to provide real-time, reconciled plant information for online monitoring, control and optimisation.
Significant speed increases
PSE's continued work on state-of-the-art numerical solvers sees the full deployment of the DAEBDF solver – which can accelerate execution by a factor of 2 to 5 – across all activities, including dynamic simulation dynamic optimisation and parameter estimation.
Large-scale optimisation applications and global system analyses require significant computing power. v5.0 brings parallel computation to selected calculations for the first time, via a new High-Performance Computing option.
In addition, the gPROMS environment has a new look-and-feel, as can be seen in the sneak preview of the gPROMS ProcessBuilder 1.2 (built on the new v5.0 platform) below.
Global system analysis – explore the decision space rapidly
Global system analysis (GSA) is a powerful new capability for exploring the complex decision space for process design and operation rapidly and effectively using high-fidelity models.
The user selects input variables to be varied over specified ranges, and output variables of interest – typically key performance indicators (KPIs) that are of critical interest for plant design or operation.
The model is then executed hundreds or even thousands of times, depending on the inputs chosen. The results are then presented in a variety of ways, allowing easy understanding on the influence of inputs (factors) on the outputs (responses).
Key benefits of GSA are the ability to move beyond the traditional 'point calculation' approach to perform sensitivity analysis and uncertainty quantification on complex process systems in a systematic and highly efficient manner. This allows rapid and effective exploration of the process design and operational decision space, with rapid screening and ranking of alternatives.
The GSA implementation
- is applicable to any gPROMS model irrespective of its size or complexity
- employs efficient techniques for sampling the input space based on low-discrepancy sequences
- is designed for deployment on distributed computing hardware
- has built-in resilience, e.g. in terms of being able to deal with failure of individual samples
- incorporates extensive facilities for visualising and analysing the variation of the outputs of interest and computing information such as probability distributions, global sensitivity indices and so on.
gPROMS v5.0 brings many more new features and improvements. Here are a few:
- faster and more robust parameter estimation, through parallelisation
- new gSAFT capabilities for combined phase and reaction equilibrium, and a significantly-extended database
- substantial further improvements to Model Initialisation Procedures, including automated initialisation of flowsheets containing complex recycles
- comprehensive units-of-measurement handling now fully implemented throughout the entire gPROMS framework
- new OPC client for real-time data exchange.
All of these features will be available to gPROMS platform users from end of February, initially via gPROMS ModelBuilder.