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CHNG5802: Found. of Control & Reaction Engineering (2014 - Semester 1)

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Unit: CHNG5802: Found. of Control & Reaction Engineering (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Chemical and Biomolecular Engineering
Unit Coordinator/s: A/Prof Abbas, Ali
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: CHNG2801 AND CHNG2802 AND CHNG2803 AND CHNG2804 AND CHNG2805 AND CHNG2806.
Co-Requisites: CHNG3801 AND CHNG3803.
Brief Handbook Description: Aims and Objectives: This Unit of study has two strands: the first is reaction engineering while the second is concerned with process modelling and process control. The first strand of this unit of study focuses on the understanding of the key concepts of reaction engineering in process design. It covers reaction kinettics, stoichiometry, reactor design, multiple reaction systems, catalysis and using reaction data to estimate rate laws. All industrial processes require some process monitoring and control for satisfactory operation. The first strand commences with process data management before moving on to empirical modelling. The second strand will concentrate on the role of process control covering: the development of linear models, control system analysis, the design and performance of feedback control systems, and the use of control related software. This UoS demonstrates that: process control is an integral concept for any modern plant; a unified approach allows a diversity of application fields to be readily handled via a consistent approach from data analysis, though process control to process optimisation. The UoS will allow each student to achieve and demonstrate competency through a range of individual and group-based activities. By the end of this UoS a student should achieve competence in the following: process data management skills relevant to engineering (data-based modelling and data reconciliation techniques); appreciation of the role of process control in modern manufacturing; designing an appropriate feedback control system and analysing its performance for a range of process applications using both traditional and software-based techniques; appreciation of the limitations of feedback control and be able to design a range of common enhancements; appreciate the limitations that exist whenever mathematical models are used as the basis for process control; appreciate the 'vertical integration' that exists from modelling, through control, to optimisation. This UoS is part of an integrated third-year program in chemical engineering. Completion of this body of work is required before a student will be permitted to move into the final-year with its emphasis on detailed design work, thesis based research and advanced engineering options.
Assumed Knowledge: Enrolment in this unit of study assumes that all (six) core chemical engineering UoS in second year have been successfully completed.
Lecturer/s: Dr Huang, Jun
A/Prof Abbas, Ali
Timetable: CHNG5802 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 13
2 Tutorial 2.00 13
3 Independent Study 4.00 13
T&L Activities: Independent Study: Students are expected to spend about 3-4 hours of ‘self-learning’ outside the specified contact periods.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Students will develop a `vertically-integrated` understanding of process design from modelling through control to optimisation (Lectures and tutorials). Students will practice designing feedback control systems and using them to analyse and enhance reactor performance (Tutorials and project work). Design (Level 2)
Students will learn key concepts, principles and methods in reaction engineering and process control and practice relating these to particular industrial process (Lectures, tutorials, quiz, project, exam). Engineering/IT Specialisation (Level 3)
Students will practice numerical modelling of processing systems using independently generated data at a level that recognises the limitations of the tools, methods and data used (Tutorials and project work). Maths/Science Methods and Tools (Level 3)
Students will practice organising and analysing complex data sets and identifying their gaps and limitations through work in systems modelling and data reconciliation (Tutorials and project work). . Information Seeking (Level 2)
Students will practice analytical discussion and argument and group report writing (Tutorials and group project). Professional Conduct (Level 1)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design (Level 2)
1. To understand and be able to develop, using a systematic approach, models of various chemical engineering processes, and to apply above concepts to the development of models for a reaction engineering systems.
2. To understand and be able to design and tune conventional process controllers using a systematic approach.
3. To be able to use modern software tools for process control analysis and design and reaction engineering calculations.
Engineering/IT Specialisation (Level 3)
4. To understand the roles of modelling and reaction engineering in Process Engineering and specifically in process control.
5. To understand the differences between various model types and uses.
6. To relate to control and rection engineering concepts and terminology and to understand the roles of process control and reaction engineering in process systems engineering.
7. To understand the differences between various conventional controller types and to understand the consequences arising from their implementation.
8. To achieve a good understanding of feedback control design, analysis and tuning.
Maths/Science Methods and Tools (Level 3)
9. Using thermodynamic criteria to calculate equilibrium conditions in reactive systems.
Communication (Level 2)
10. To develop technical report writing skills with the ability of professionally presenting solutions to engineering problems.
Professional Conduct (Level 1)
11. To see links between this course and other Chemical Engineering courses.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Quiz Yes 25.00 Week 6 1, 4, 5, 6, 10,
2 Project Yes 25.00 Week 13 2, 3, 6, 7, 8, 10, 11,
3 Final Exam No 50.00 Exam Period 1, 2, 3, 4, 5, 6, 7, 8, 10, 11,
Assessment Description: Quiz: Covers topics in Module A only.

Project: Module B Project - Consists of two parts (Part 1 due in Week 9 while Part 2 is due in Week 13)

Final examination
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Module A - Introduction to Reaction Engineering
Week 2 Module A - Stoichiometry
Week 3 Module A - Reactors and Recycles
Week 4 Module A - Multiple reaction systems
Week 5 Module A - Catalysts and catalytic reactions
Week 6 Module A - Rate laws from experimental data
Assessment Due: Quiz
Week 7 Module B - Introduction to process modelling and control
Week 8 Module B - Empirical modelling
Week 9 Module B - Open-loop stability
Week 10 Module B - Closed-loop stability
Week 11 Module B - Feedback control design I
Week 12 Module B - Feedback control design II
Week 13 Assessment Due: Project
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Master of Professional Engineering (Chemical & Biomolecular) 2010, 2011, 2012, 2013, 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Project and Team Skills (Level 2) No 0%
Design (Level 2) Yes 27.15%
Engineering/IT Specialisation (Level 3) Yes 50.72%
Maths/Science Methods and Tools (Level 3) Yes 0%
Information Seeking (Level 2) Yes 0%
Communication (Level 2) No 13.57%
Professional Conduct (Level 1) Yes 8.57%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.