2017/18 Taught Postgraduate Module Catalogue
CAPE5321M Process Optimisation and Control
30 creditsClass Size: 100
Module manager: Professor X Z Wang
Email: x.z.wang@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2017/18
This module is mutually exclusive with
CAPE3321 | Process Optimisation and Control |
Module replaces
PEME5331M Process Optimisation and ControlThis module is not approved as an Elective
Objectives
- Introduce students to the fundamental principles and applied methodologies for process integration, optimisation and control.- Train student the skills of applying the principles and methodologies to complex applications.
- Introduce the state of the art development in process optimisation and control.
- Prepare students with the in-depth background knowledge for employment in the process industries as well as for postgraduate studies and research.
Learning outcomes
On completion of this module, students should have a deeper knowledge of:
- Pinch analysis and process integration and proven techniques in deterministic optimisation algorithms for both linear and nonlinear problems. Background and theories underpinning these algorithms. Extended topics on linear programming.
- Process control objectives, control system components, feedback control configurations, controller tuning, feedforward and cascade control, process dynamics and model identification and control; control strategies for unit operations, P&ID diagrams drawing, batch process control system design, and future trends in process control.
Skills outcomes
On completion of this module, students should have the following skills:
- Be able to set energy targets for large complex processes based on thermodynamic principles. Formulate and solve complex optimisation problems using both linear and non-linear deterministic optimisation algorithms. Understand the in-depth background knowledge and underpinning theories for these algorithms. Solve large linear programming problems using Excel solver, interpret the results and carry out sensitivity analysis.
- Develop control strategies for a given process, read and draw P&ID diagrams, being able to analyse system dynamics and develop appropriate control strategies, be able to develop control strategies for batch, as well as continuous processes.
Syllabus
Process Integration and Optimisation:
- Pinch analysis and process integration: minimum utility loads and pinch temperature, estimations of heat exchanger surface areas and number of heat-exchangers, loops and paths used to restore the minimum approach temperature.
- Optimisation theory and methods: classic theory for unconstrained extremum, convexity and concavity, Lagrange multiplier methods, linear programming and its applications, Duality, the Simplex and Dual Simplex algorithms, Integer programming, Dynamic programming.
Process Control:
- Signals and Block Diagrams, PID controllers, controller tuning.
- Control strategy: Formulation of P&I diagrams.
- Translation into block diagrams.
- Control schemes for a variety of items of plant.
- Use of feedback, cascade, ratio, feedforward, and other strategies.
- Control theory: Laplace transforms.
- Partial fractions.
- Transfer functions.
- First order systems.
- Second order systems.
- Underdamped systems: response time, overshoot, decay ratio, etc.
- Block diagram algebra.
- Characteristic equation.
- Higher order systems.
- Lumped parameter models of plant.
- Linearisation and deviation variables.
- Batch process control.
- Distributed control systems (DCS).
Teaching methods
Delivery type | Number | Length hours | Student hours |
Class tests, exams and assessment | 1 | 2.00 | 2.00 |
Lecture | 22 | 2.00 | 44.00 |
Tutorial | 22 | 1.00 | 22.00 |
Private study hours | 232.00 | ||
Total Contact hours | 68.00 | ||
Total hours (100hr per 10 credits) | 300.00 |
Private study
The students are expected to read the recommended textbooks together with the handouts for developing a deeper understanding of the topics covered in the formal classes. They should look at the worked out example problems in textbooks to learn how theory can be applied to solve practical problems. To develop problem solving skills they should independently try to solve the problems given in the problem sheets provided by the lecturers and also textbook exercise problems prior to the tutorial class. Batch process control and DCS systems will be mainly via private study with tutorials help from the Lecturer, the rest are delivered in lectures.Opportunities for Formative Feedback
Students' progress will be monitored via:- the extent of participation and response to questions asked in the formal lecture and tutorial classes;
- the attendance in lecture and tutorial classes.
Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | Optimisation: Pinch analysis and process integration | 10.00 |
Assignment | Control: Stability analysis of control system design | 10.00 |
Assignment | Optimisation: Excel solver application to linear programming problems | 10.00 |
Assignment | Control: Development of control system for a batch process | 10.00 |
Total percentage (Assessment Coursework) | 40.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 2 hr | 60.00 |
Total percentage (Assessment Exams) | 60.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 26/04/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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