![]() the revamped automatic connection routing is much faster, in particular for large flowsheets, and gives control over its execution.much improved responsiveness of the GUI.new OPC client for real-time data exchange.comprehensive units-of-measurement handling now fully implemented throughout the entire gPROMS framework.substantial further improvements to Model Initialisation Procedures, including automated initialisation of flowsheets containing complex recycles.new gSAFT capabilities for combined phase and reaction equilibrium, and a significantly-extended database.faster and more robust parameter estimation, through the application of DAEBDF and parallelisation.GPROMS ModelBuilder 5.0 brings many more new features and improvements. PSE's continued work on state-of-the-art numerical solvers sees the full deployment of the DAEBDF solver across all activities, including dynamic simulation, dynamic optimization and parameter estimation. 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.in terms of being able to deal with failure of individual samples is designed for deployment on distributed computing hardware.employs efficient techniques for sampling the input space based on low-discrepancy sequences.is applicable to any gPROMS model irrespective of its size or complexity. ![]() This allows rapid and effective exploration of the process design and operational decision space, with rapid screening and ranking of alternatives. 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. ![]() The results are then presented in a variety of ways, allowing easy understanding on the influence of inputs (factors) on the outputs (responses). The model is then executed hundreds or even thousands of times, depending on the inputs chosen. 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. 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. Global system analysis – explore the decision space rapidly In addition, the gPROMS environment has a new look-and-feel, as can be seen in an example flowsheet built on the new gPROMS 5.0 platform below. ModelBuilder 5.0 brings parallel computation to selected calculations for the first time, via a new High-Performance Computing option. Large-scale optimization applications and global system analyses require significant computing power.
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