gPROMS training courses

gPROMS®: Defining and solving optimization problems (1-day)

The gPROMS platform provides powerful optimization facilities that allow you to determine optimal answers directly rather than via trial-and-error simulation, saving time and reducing time-to-market for new processes or enhancements.

Key capabilities include the ability to formulate and solve steady-state, dynamic and mixed integer optimizations in order to:

  • Optimize unit design to minimize CAPEX, maximize operability, etc.
  • Optimize operation to minimize energy, feedstock use, etc.
  • Optimize operating policy to determine optimal start-up or grade change procedures
  • Perform whole plant optimization to improve plant economics

Course Overview

This one-day advanced training course focuses on the optimization facilities provided by gPROMS including dynamic and mixed integer optimization. A combination of tutorials and hands-on problem solving sessions allows participants to cover the following topics:

  • Dynamic optimization of processes by characterising the optimization problem (i.e. objective, constraints and decision variables)
  • Formulating a dynamic optimization in gPROMS
  • Optimization of continuous and discrete variables for dynamic processes
  • Interpretation and use of optimization results

Who should attend?

This one-day training course is aimed at engineers and scientists who are interested in learning how to effectively apply powerful optimization facilities provided by gPROMS to real problems.

Prerequisites 

It is advisable to have completed the gPROMS: Developing custom unit operation models course prior to attending this course or to have previously had extensive experience with gPROMS.

Agenda

Timings are approximate.

Time

Topic

09:00

Registration

09:30

Introduction to the mathematics of optimization

10:30

Specifying and solving optimization problems in gPROMS

12:00

Analysing optimization results

12:30

Lunch

13:30

Advanced optimization in gPROMS

15:30

Mixed integer optimization

17:00

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Email to register

Please drop us an email for the dates and the course you would like to register for and we would get in touch.