Outline

Overview

This is a project based unit of study that aims to develop the practical skills required in process engineering with the focus on design, simulation, operation, control, and optimization of chemical and biological processes. It employs an interdisciplinary approach that applies the previously acquired knowledge of mass and heat transfer, thermodynamics, fluid mechanics, reaction engineering, design of unit operations, process modelling, and process control to understand the interaction between unit operations, to analyze the process flowsheet, and to carry out equipment selection and sizing for the plant. The integrated course structure helps students develop their knowledge of integrated process design by working on miniplant design projects, involving process simulation/modelling using flowsheeting software, detailed design of plant equipment (reactor, distillation and absorption columns, pumps, piping), process modification (eg by heat integration) and process optimisation.

Unit details and rules

Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prerequisites ?	CHNG2801 and CHNG2802 and CHNG2803 and CHNG2804 and CHNG2806
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Enrolment in this unit of study assumes that all core 2000 level chemical engineering units have been successfully completed
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	John Kavanagh, john.kavanagh@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam ?	Final exam Final exam	40%	Formal exam period	2 hours	AI prohibited
Outcomes assessed:
Practical skill	Homework 1 Take-home assignment covering Week 1 and Week 2 contents	10%	Week 03 Due date: 22 Aug 2025 at 23:59	about 5 pages	AI allowed
Outcomes assessed:
In-class quiz	Quiz 1 Review quiz covering Week 1, Week 2, and Week 3 contents	10%	Week 04 Due date: 27 Aug 2025 at 18:00	60 min	AI allowed
Outcomes assessed:
Practical skill	Homework 2 Take-home assignment covering Week 4, Week 6 and Week 7 contents	10%	Week 07 Due date: 19 Sep 2025 at 23:59	about 5 pages	AI allowed
Outcomes assessed:
In-class quiz	Quiz 2 Review quiz covering Week 4, Week 6, and Week 7 contents	10%	Week 08 Due date: 24 Sep 2025 at 18:00	60 min	AI allowed
Outcomes assessed:
Practical skill	Homework 3 Take-home assignment covering Week 8, Week 9, and Week 10 contents	10%	Week 10 Due date: 17 Oct 2025 at 23:59	about 5 pages	AI allowed
Outcomes assessed:
Data analysis	Homework 4 Take-home assignment covering Week 11 and Week 12 contents	10%	Week 13 Due date: 07 Nov 2025 at 23:59	about 5 pages	AI allowed
Outcomes assessed:
= group assignment ?

Assessment summary

Written examinations will be part of the assessment. It is aimed to allow students to reflect on their learning and to gauge their performance in the course. Students are highly encouraged to treat and use these as learning situations rather than examination exercises.

Homework: 4 times, 40% of the final mark. There will be four take-home assignments. Students will work on the homework questions during the tutorial sessions to better understand the key concepts of the lectures. The lecturer and the tutors will be available to assist students.

Quiz*: 2 Review quizzes on Week 4 and 8, 20% of the final mark

Final exam*: 40% of the final mark during the exam period.

Detailed information for each assessment can be found on Canvas.

* indicates an assessment task which must be repeated if a student misses it due to special consideration.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Selection and sizing of minor process equipment 1	Lecture and tutorial (4 hr)
Week 02	Selection and sizing of minor process equipment 2	Lecture and tutorial (4 hr)
Week 03	Experience-based principles in process design: rules of thumb (technical heuristics) and shortcut method	Lecture and tutorial (4 hr)
Week 04	Detailed design of tray columns (hydraulic design)	Lecture and tutorial (4 hr)
Week 05	Week in industry	Placement (4 hr)
Week 06	Detailed design of packed-bed columns (hydraulic design)	Lecture and tutorial (4 hr)
Week 07	Computer-aided equipment design (major process equipment)	Lecture and tutorial (4 hr)
Week 08	Process design development and introduction to flowsheet synthesis	Lecture and tutorial (4 hr)
Week 09	General steps in flowsheet synthesis and development 1	Lecture and tutorial (4 hr)
Week 10	General steps in flowsheet synthesis and development 2	Lecture and tutorial (4 hr)
Week 11	Design of heat exchanger network, pinch analysis	Lecture and tutorial (4 hr)
Week 12	Design of Utilities	Lecture and tutorial (4 hr)
Week 13	Design of Waste Treatment	Lecture and tutorial (4 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

R. Turton, J. A. Shaeiwitz, D. Bhattacharyya, and W. B. Whiting. Analysis, Synthesis, and Design of Chemical Processes, 2018, (5th Edition), Prentice Hall
R K Sinnott Gavin Towler, Chemical Engineering Design, 2009, (5th Edition), Elsevier
Peters, Timmerhaus and West, Plant Design and Economies for Chemical Engineers, 2003, (5th Edition), McGraw Hill

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. demonstrate proficiency in use of international codes and engineering standards
LO2. demonstrate proficiency in evaluating the behaviour of heat exchangers, tray and packed-bed distillation and absorption columns using commercial process simulation software
LO3. demonstrate proficiency in selection and sizing of minor process equipment for transport, handling, and storage of fluids, including pumps, compressors, blowers, expanders, storage tanks, pressure vessels, piping, and instrumentation equipment
LO4. demonstrate proficiency in design of heat exchanger networks using heat integration principles and pinch analysis
LO5. demonstrate proficiency in detailed design of tray and packed-bed columns (hydraulic design)
LO6. demonstrate proficiency in process flowsheet development, evaluation, and selection of the most suitable arrangement of a chemical process on the basis of technical, economic, social and environmental considerations
LO7. demonstrate proficiency in design of control schemes and Piping and Instrument Diagrams (P&ID) for common process units and whole processes

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

CHNG3801: Process Plant Design

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links