Show/hide contentOpenClose All
Curricular information is subject to change
On completion of this module students should be able:
1. To develop dynamic mathematical models for the simulation and design of chemical and bioprocess unit operations using systems of Differential and Algebraic Equations.
2. To identify the Index and perform Index reduction on DAE systems for consistent initialisation.
3. To implement and solve mathematical models for process systems in gPROMS[TM].
4. To define, implement and solve dynamic optimisation problems in gPROMS[TM].
5. To perform dynamic parameter estimation in gPROMS[TM].
I. Numerical methods for solving non-linear systems of equations and differential equations.
(a) Bisection method
(b) Successive substitutions
(c) Newton-Raphson
(d) Newton's method for systems of non-linear equations
(e) Euler, Heun's and R-K methods for solving ODEs and PDEs
II. Dynamic process modelling
(a) A systematic approach to model development
(b) Modelling chemical reacting systems
(c) Energy considerations in reacting and non-reacting systems
(d) Systems of differential and algebraic equations (DAEs)
(e) Index and Index reduction strategies
(f) Modelling systems with phase equilibrium
(g) Dynamic optimisation
(h) Dynamic parameter estimation
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Studio | 8 |
| Autonomous Student Learning | 78 |
| Total | 110 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Continuous Assessment: Individual Assignments | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 50 |
| Assignment: Final Assignment | 2 hour End of Trimester Exam | n/a | Standard conversion grade scale 40% | No | 50 |
| Resit In | Terminal Exam |
|---|---|
| Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Online automated feedback
Feedback will be provided no later than three weeks after assignment submission.