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Unit outline_

CHNG3803: Reaction Engineering

Semester 1, 2022 [Normal day] - Remote

In this unit of study, students learn to select and design reactors for a broad range of chemical transformations. The course employs an integrated approach to learning combining the basic principles of material and energy balance, thermodynamics, heat and mass transfer, and fluid mechanics with those of chemical reaction kinetics to allow for the design of chemical reactors. Reactor design concepts are introduced through topics, such as ideal batch reactors, combinations of reactors, multiple reaction systems, and catalytic reactions. Principles of chemical reactions, including reaction mechanisms, temperature and concentration dependence of chemical kinetics, and catalytic effects are covered in relation to reactor design. Students practice and deepen their understanding of the course content in a laboratory practical in which they use experimental data from chemical reactors to estimate rate laws.

Unit details and rules

Academic unit Chemical and Biomolecular Engineering
Credit points 6
Prerequisites
? 
CHNG2801 and (CHNG2802 or AMME2960 OR BMET2960) and CHNG2803
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 Yuan Chen, yuan.chen@sydney.edu.au
Lecturer(s) Yuan Chen, yuan.chen@sydney.edu.au
Weibin Liang, weibin.liang@sydney.edu.au
Type Description Weight Due Length
Final exam (Record+) Type B final exam Final exam
Calculative exercises and short answers questions on all course content.
60% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Assignment group assignment Lab report
Written Report
6% Multiple weeks n/a
Outcomes assessed: LO3 LO4 LO6 LO7
Assignment Homeworks
calculative exercises
25% Multiple weeks tutorial class and own time
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Assignment In-class exercises
test course contents taught in the previous week
9% Multiple weeks about 5 min each
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
group assignment = group assignment ?
Type B final exam = Type B final exam ?

Assessment summary

  • Homeworks These assignments will consist of mostly calculative exercises. Students are encouraged to engage in collaborative learning during allocated tutorial times.
  • Small project: Calculative exercise on the optimization of a reaction system. Students have the option to work in pairs or individually.
  • In-session exam: Students will be required to complete a summative assessment of ability to identify, formulate and solve reaction engineering problems from 1st principles. The exam is on-line.

Students that fail to attend the in-session exam and are granted Special Consideration will be required to sit a replacement exam (no marks adjustments).

  • Lab report. Students will work individually on a reaction engineering practical exercise. Students are required to take an  on-line laboratory module and to submit a report on the experiment described.
  • Final exam: The final exam will test the student’s ability to solve questions of a similar nature to the projects, and to apply the techniques learnt in this course to new problems. The test will be conducted on-line during exam time.

Detailed information for each assessment can be found on Canvas.

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 guide to grades.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

When allowed, late submissions attract 5% late penalty/day. Submissions over 10 days late get 0.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to Chemical Reaction Engineering Lecture and tutorial (5 hr) LO1 LO3
Week 02 Reaction Equilibrium and Kinetics Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4
Week 03 Single Ideal Reactors Lecture and tutorial (5 hr) LO1 LO3 LO4 LO5
Week 04 Size comparison/combination of ideal reactors Lecture and tutorial (5 hr) LO1 LO3 LO4 LO5
Week 05 Non-isothermal reactions Lecture (2 hr) LO1 LO2 LO3 LO4 LO5
Week 06 Introduction to lab module Non-isothermal reactors Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 Recap and exam practice Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5
Week 08 Mid session exam (lecture time) Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5
Week 09 Multiple Reaction Systems Lecture and tutorial (5 hr) LO1 LO3 LO4 LO5
Practical: Estimate rate laws by using experimental reaction data Practical (1 hr) LO6 LO7
Week 10 Multiple reactions systems Lecture and tutorial (5 hr) LO1 LO3 LO5
Practical: Estimate rate laws by using experimental reaction data Practical (1 hr) LO6 LO7
Week 11 Solid catalysed reactions-Packed bed reactors Lecture and tutorial (5 hr) LO1 LO3 LO5
Week 12 Process intensification Lecture and tutorial (5 hr) LO1
Week 13 Recap Practice exam Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5

Attendance and class requirements

Attendance at and participation in lectures and tutorials is strongly encouraged.

In person participation in practicals is required. Attendance requirements are waived for students impacted by travel restrictions.

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

Readings for this unit can be accessed in electronic format through the university Library and the eReserve available on Canvas.

Texbook:

Octave Levenspiel, Chemical reaction engineering. Wiley, 9781601199218.

Recomended reference:

Fogler, H. Scott, Elements of chemical reaction engineering. Boston, Prentice Hall, 9780133887822.

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.

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

  • LO1. Apply key concepts and principles of reaction engineering to evaluate reactor designs and operating conditions for given reaction systems
  • LO2. Determine equilibrium conditions in reactive systems from thermodynamic criteria
  • LO3. Model reaction engineering systems
  • LO4. Carry out size comparisons of ideal reactors
  • LO5. Optimize operating conditions for ideal reactors
  • LO6. Estimate rate laws by using experimental reaction data
  • LO7. Communicate effectively in writing

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

Alignment with Competency standards

Outcomes Competency standards
LO1
Engineers Australia Curriculum Performance Indicators - EAPI
1.2. Tackling technically challenging problems from first principles.
5.3. Skills in the selection and characterisation of engineering systems, devices, components and materials.
5.5. Skills in the development and application of mathematical, physical and conceptual models, understanding of applicability and shortcomings.
LO2
Engineers Australia Curriculum Performance Indicators - EAPI
1.2. Tackling technically challenging problems from first principles.
LO3
Engineers Australia Curriculum Performance Indicators - EAPI
1.1. Developing underpinning capabilities in mathematics, physical, life and information sciences and engineering sciences, as appropriate to the designated field of practice.
1.2. Tackling technically challenging problems from first principles.
LO4
Engineers Australia Curriculum Performance Indicators - EAPI
1.2. Tackling technically challenging problems from first principles.
5.3. Skills in the selection and characterisation of engineering systems, devices, components and materials.
LO5
Engineers Australia Curriculum Performance Indicators - EAPI
1.2. Tackling technically challenging problems from first principles.
LO6
Engineers Australia Curriculum Performance Indicators - EAPI
5.1. An appreciation of the scientific method, the need for rigour and a sound theoretical basis.
5.6. Skills in the design and conduct of experiments and measurements.
5.8. Skills in recognising unsuccessful outcomes, sources of error, diagnosis, fault-finding and re-engineering.
5.9. Skills in documenting results, analysing credibility of outcomes, critical reflection, developing robust conclusions, reporting outcomes.
LO7
Engineers Australia Curriculum Performance Indicators - EAPI
3.2. Information literacy and the ability to manage information and documentation.
5.9. Skills in documenting results, analysing credibility of outcomes, critical reflection, developing robust conclusions, reporting outcomes.

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

The assessment scheme has been simplified, the topics selection updated and the schedule modified to allow additional revision and practice time.

More information related to this unit will be provided in class and on the Canvas site

Additional costs

There are no additional costs for this unit

Site visit guidelines

There are no site visit guidelines for this unit

Work, health and safety

There are no specific work health and safety requirements for this unit

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.