Process Systems Enterprise Limited
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gPROMS training courses

Model Validation with gPROMS® (1-day)

gPROMS training

 

Other 1-day courses (Japan only)

Model validation is an integral part of creating high-fidelity predictive models for model-based engineering.

Validation is usually performed as an iterative procedure, by designing one or more experiments, performing the experiments in the laboratory or a pilot plant, estimating model parameters and, if the statistical analysis indicates an unacceptable level of paramater uncertainty, continuing around the loop.

Content

This one-day course provides process modellers with a detailed understanding of the use of the parameter estimation facilities in gPROMS and the statistical analysis required for model discrimination and the accuracy of the model parameters.

Participants also learn how to use the optimal experiment design capability in order to generate maximum information in the experimental data to be used for subsequent parameter estimation.

The course is organised as a combination of small group tutoring and hands-on exercises to cover the following topics:

  • The parameter estimation problem; the concept of an 'experiment'
  • Parameter estimation from steady-state and dynamic experiments in gPROMS
  • Interpretation and use of results
  • Model-based experiment design for steady-state and dynamic processes in gPROMS
  • Interpretation and use of results.

The course assumes a basic knowledge of gPROMS to the level covered by the gPROMS Basics & Flowsheeting (1-day) and/or preferably gPROMS Model Developer (1-day) course.