Outline

Overview

The students should develop an understanding of and competence in the formulation and solution of material and energy balance problems in engineering; develop competence in using basic flowsheet analysis and appropriate computational tools; improve their group work and problem solving skills; gain an ability to extract a simplified version of a problem from a complex situation. Students will also develop a preliminary understanding in the use of process simulator (e. g. , Hysis) to formulate and solve material and energy problems around simple models of unit operations and recycles. Mass conservation related topics include: unit systems and unit conversions; properties of solids, fluids and gases; mass balance calculations on batch and flow systems; balances on multiple units processes, balances on reactive systems, recycle, bypass and purge calculations; equilibrium compositions of reacting systems; vapour pressure and humidity. Energy conservation includes the following topics: apply the first law of thermodynamics to flow and batch systems in process industries; understand thermodynamic properties such as internal energy, enthalpy and heat capacity; conduct energy balances for sensible heat changes, phase transformations and reactive processes for practical industrial systems; understand the applications of psychrometry, refrigeration, heat of formation and combustion in industry.

Unit details and rules

Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	CHNG1103 OR CHNG5707
Assumed knowledge ?	University level mathematics, calculus, linear algebra and statistics
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Alejandro Montoya, alejandro.montoya@sydney.edu.au
Lecturer(s)	Raffaella Mammucari, raffaella.mammucari@sydney.edu.au

Type	Description	Weight	Due	Length
Supervised exam ?	Final Exam Individual Final Assessment, Special Consideration required to resit quiz	25%	Formal exam period	2 hours
Outcomes assessed:
Small test	Regular online assessment Individual Canvas Quiz, Special Consideration required to resit quiz	10%	Multiple weeks	40 min max
Outcomes assessed:
Tutorial quiz	Quiz 1 Individual Quiz, Special Consideration required to resit quiz.	20%	Week 05 Due date: 29 Aug 2023 at 15:00	2 h max
Outcomes assessed:
Assignment	Literature Report Written Literature Review on self-selected topic, and interview	20%	Week 09 Due date: 06 Oct 2023 at 23:00	5 pages max
Outcomes assessed:
Tutorial quiz	Quiz 2 Individual Quiz, Special Consideration required to resit quiz	25%	Week 12 Due date: 26 Oct 2023 at 14:00	2h max
Outcomes assessed:

Assessment summary

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.

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.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Class policies and course requirements, and basic process engineering analysis	Lecture and tutorial (4 hr)
Week 02	Mass balances on non reactive systems with single unit operations	Lecture and tutorial (4 hr)
Week 03	Engineering process representation and analysis	Lecture and tutorial (4 hr)
Week 04	Mass balances on non reactive systems with multiple unit operations	Lecture and tutorial (4 hr)
Week 05	Chemical reactions and equations	Lecture and tutorial (4 hr)
Week 06	Mass balances on reactive systems with single unit operations	Lecture and tutorial (4 hr)
Week 07	Mass balances on reactive systems with multiple unit operations	Lecture and tutorial (4 hr)
Week 08	Forms of energy in chemical processes	Lecture and tutorial (4 hr)
Week 09	First law of thermodynamics Reference states Energy balance calculations	Lecture and tutorial (4 hr)
Week 10	Energy balance non-reactive systems	Lecture and tutorial (4 hr)
Week 11	Energy balances for reactive processes	Lecture and tutorial (4 hr)
Week 12	Energy and mass balances for dynamic processes	Lecture and tutorial (4 hr)
Week 13	Course review	Lecture and tutorial (4 hr)

Attendance and class requirements

Self learning: Students are expected to spend at least 3-4 hours per week of 'self learning' outside the specified contact periods in order to progress in the unit of study concepts.

Attendance: The lectures will be delivered face-to-face. Each lecture will be recorded and available in the Canvas site whithin the first 24 hours after the lecture. You are highly encouraged to attend in person each session. Tutors and lecturers will be available to provide feedback on tutorial sessions.

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.M. Felder and R.W. Rousseau, Elementary Principles of Chemical Processes, Wiley.

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 strong written and communication skills while effectively collaborating as a valuable member of an engineering team.
LO2. Outline a logical approach for solving a variety of complex engineering problems.
LO3. Demonstrate proficiency in composing and calculating material flows for a wide range of typical chemical engineering processes.
LO4. Develop the capability to identify different forms of energy and effectively calculate energy balances for a diverse set of engineering scenarios commonly encountered in practice.
LO5. Gain an advanced understanding of the essential elements involved in processes conducted within modern chemical and process industries, while recognising the practical applications of scientific knowledge in engineering practices.

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.

The assessment tasks are adjusted following previous feedback to increase the weight of the seminar and report.

Additional information

Students that miss an assessmnet or experience circumstances inpacting their preparation or performance in an assessment will have to apply for special consideration. Marks adjustments or replament tests will be conducted only if the special consideration request will be granted.

More information related to this unit will be provided in class.

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

CHNG9103: Conservation of Mass and Energy

Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect