CHNG3803: Chemical/Biological Process Design (2013 - Semester 1)
|Unit:||CHNG3803: Chemical/Biological Process Design (6 CP)|
|Faculty/School:||School of Chemical and Biomolecular Engineering|
Dr Kavanagh, John
|Session options:||Semester 1|
|Versions for this Unit:|
|Pre-Requisites:||CHNG2801 AND CHNG2802 AND CHNG2803 AND CHNG2804 AND CHNG2805 AND CHNG2806.|
|Co-Requisites:||CHNG3801 AND CHNG3802.|
|Brief Handbook Description:||Aims and Objectives: All industrial processes require some process monitoring and control for satisfactory operation. The efficient use and recovery of energy is vital for industrial processes. The performance of a process may be improved via the implementation of some level of optimisation.
This unit of study commences with a component on process data management before moving on to empirical modelling and data reconciliation techniques. The second component 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, advanced control systems and the use of control related software. In parallel, this unit of study also focuses on the efficient use of energy in process plants. The final component will focus on process optimisation of batch and continuous processes.
This unit of study demonstrates that: process control and optimisation are integral concepts 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 unit of study will allow each student to achieve and demonstrate competency through a range of individual and group-based activities.
By the end of this unit of study a student should achieve competence in the following: process data management skills relevant to engineering (statistical analysis, 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; appreciation of the role of process optimisation in modern manufacturing; use of both traditional and software-based techniques to design optimisation schemes for a range of process applications and analyse the performance of such schemes; appreciate the limitations that exist whenever mathematical models are used as the basis for process control and/or optimisation; appreciate the "vertical integration" that exists from modelling, through control, to optimisation.
|Assumed Knowledge:||Ability to conduct mass and energy balances, and the integration of these concepts to solve real chemical engineering problems. Ability to understand basic principles of physical chemistry, physics and mechanics. Ability to use mathematics of calculus (including vector calculus) and linear algebra, and carry out computations with MATLAB and MS EXCEL. Ability to read widely outside of the technical literature, and to synthesise arguments based on such literature. Ability to write coherent reports and essays based on qualitative and quantitative information.|
Dr Gomes, Vincent
Dr Kavanagh, John
|T&L Activities:||Project Work - in class: Workshops
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|
|Ability to apply theory to practice in both “closed” and “open ended” problem situations through critical judgement. Ability to undertake problem identification, formulation and solution. Ability to utilise a systems approach to design and operational performance. Ability to comprehend the broad picture and thus work with an appropriate level of detail.||Design (Level 3)|
|Technical skills and knowledge in applying design and analysis for control and optimisation||Engineering/IT Specialisation (Level 3)|
|Ability to apply knowledge of basic science and engineering fundamentals in the context of chemical, biological and industrial systems.||Maths/Science Methods and Tools (Level 3)|
|Ability to identify, access and organise knowledge in both written and oral English. Ability to use appropriate technology in furthering all skills. Ability to demonstrate critical and generic thinking skills.||Information Seeking (Level 3)|
|Ability to communicate knowledge in both written and oral English.||Communication (Level 3)|
|Appreciation of wider engineering context, including social, economic, ethical and commercial implications of industry practice in the context of sustainability.||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 3)
Project: Project 1.
Project: Project 2.
Project: Project 3.
Final Exam: Exam
|Policies & Procedures:||All university policies can be found at http://sydney.edu.au/policy
Policies and request forms for the Faculty of Engineering and IT can be found on the forms and policies page of the faculty website at http://sydney.edu.au/engineering/forms
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
|Note on Resources:||Project Descriptions, handouts, web resources|
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 1||Project 1: Biological system design & analysis|
|Week 2||Project 1: Biological system design & analysis|
|Week 3||Project 1: Biological system design & analysis|
|Week 4||Project 1: Biological system design & analysis|
|Assessment Due: Project|
|Week 5||Project 2: Systems analysis and design of process systems|
|Week 6||Project 2: Systems analysis and design of process systems|
|Week 7||Project 2: Systems analysis and design of process systems|
|Week 8||Project 2: Systems analysis and design of process systems|
|Assessment Due: Project|
|Week 9||Project 3: Process and product design and systems analysis|
|Week 10||Project 3: Process and product design and systems analysis|
|Week 11||Project 3: Process and product design and systems analysis|
|Week 12||Project 3: Process and product design and systems analysis|
|Week 13||Project 3: Process and product design and systems analysis|
|Assessment Due: Project|
|Exam Period||Assessment Due: Final Exam|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Design (Level 3)||Yes||21.36%|
|Engineering/IT Specialisation (Level 3)||Yes||24.22%|
|Maths/Science Methods and Tools (Level 3)||Yes||21.36%|
|Information Seeking (Level 3)||Yes||15.36%|
|Communication (Level 3)||Yes||8.86%|
|Professional Conduct (Level 1)||Yes||0%|
|Project Management and Team Skills (Level 3)||No||8.86%|
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.