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Advanced Process Modelling (In Development)

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About this course

Learn how to formulate mathematical models of steady-state and dynamic systems typical in the chemical process industry.

Mathematical models have many uses. For example:

  • They can improve our understanding of complex systems.
  • They can help to predict the design and control variables.
  • They can be used in sensitivity analysis, parameter estimation, scaling and optimisation.
  • They can assist in experiment design and troubleshooting.
  • They can be used in R&D, training and education.

Running a simulation on a computer is cheaper than performing a real experiment in the lab or on a pilot plant. However, the models must be validated properly to ensure the accuracy of the simulation and optimisation results.

This course is currently in development, but we invite interested individuals to enrol now, so that you can provide inputs and feedback to help shape the course content. Tell us how we can make this course more useful for you, and we will do our best to incorporate your suggestions. As a way of saying thank you, you will get free access to the course when it becomes available for sale.

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What will you learn?

  • Modelling concept and terms i.e. type of models, type of equations, geometry, and boundary conditions.
  • Construction of mathematical models of chemical engineering processes as steady-state & dynamic, homogeneous & heterogeneous systems.
  • Numerical solution methods of ordinary and partial differential equations involving physical initial and boundary conditions, discussion of stability.
  • Linear and non-linear solutions by finite difference methods.
  • Application of the numerical techniques into MATLAB programming.

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