CHNG9306: Semester 2, 2021

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Units CHNG9306 Semester 2 2021 [Normal day]

Unit of study_

CHNG9306: Risk Management for Chemical Engineering

Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit of study aims to develop an appreciation of project and risk management practice of process systems for chemical and process engineering. It employs a holistic approach to management covering vital concepts in project management, technical risk assessment and decision making, economic evaluation and financial risk assessment, and project design optimization. It provides students with the experience and working knowledge to solve real world engineering problems in process-led and product-driven industries. By the end of this unit of study a student should be competent in: preparing a resume for use in employment applications; developing project work plans in conjunction with project management schedules; performing economic evaluations of projects, plans and processes; performing qualitative and quantitative risk assessments of projects, plans and processes; exploring optimization of complex processes under risk and uncertainty, covering unit operations, business units, enterprises and value chains.

Unit details and rules

Unit code	CHNG9306
Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prohibitions ?	CHNG3806 OR CHNG5806
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	CHNG9201 and CHNG9202 and CHNG9203 and CHNG9204 and CHNG9206. Mass and energy balances, physical chemistry, physics.
Available to study abroad and exchange students	No

Teaching staff

Coordinator	David Wang, david.wang1@sydney.edu.au
Lecturer(s)	David Wang, david.wang1@sydney.edu.au
Lecturer(s)	Gustavo Fimbres Weihs, gustavo.fimbresweihs@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Rapid ranking Rapid ranking group work.	15%	Week 04 Due date: 03 Sep 2021 at 23:59	10 pages
Outcomes assessed:
Assignment	Syndicate exercise in HAZOP and safety review HAZOP group work (15%) Safety Review individual (10%)	25%	Week 06 Due date: 17 Sep 2021 at 23:59	10 pages
Outcomes assessed:
Assignment	Quantitative risk assessment Take home quiz.	5%	Week 07 Due date: 24 Sep 2021 at 23:59	5 pages
Outcomes assessed:
Assignment	Equipment and production cost Estimate cost of equipment and capital cost.	20%	Week 09 Due date: 15 Oct 2021 at 23:59	10 Pages
Outcomes assessed:
Tutorial quiz	Class quiz on depreciations, time value of money Open book quiz.	10%	Week 09 Due date: 15 Oct 2021 at 14:00	3 hours
Outcomes assessed:
Tutorial quiz	Multi-Objective Optimisation Quiz In-class quiz.	5%	Week 13 Due date: 12 Nov 2021 at 14:00	3 hours
Outcomes assessed:
Assignment	Economic evaluation and optimisation Take home assignment.	20%	Week 13 Due date: 12 Nov 2021 at 23:59	10 pages
Outcomes assessed:
= hurdle task ? = group assignment ? = group assignment with individually assessed component ?

Assessment summary

Assignments and Quizzes in this course are hurdle assessments which the passing mark is 60/100.

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 sydney.edu.au/students/guide-to-grades.

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:

Unless prior approval is granted by the course coordinator/lecturers, late submission will attract 5% penalty of the full mark per day.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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	Introduction to project and risk managements	Lecture (2 hr)
Week 01	Project group planning	Tutorial (3 hr)
Week 02	Major incidents and hazard identification	Lecture (2 hr)
Week 02	Hazard and risk identification	Tutorial (3 hr)
Week 03	Risk management and ranking	Lecture (2 hr)
Week 03	Rapid ranking exercise	Tutorial (3 hr)
Week 04	Rapid ranking and HAZOP introduction	Lecture (2 hr)
Week 04	HAZOP technique exercise	Tutorial (3 hr)
Week 05	HAZOP	Lecture (2 hr)
Week 05	HAZOP exercise	Tutorial (3 hr)
Week 06	Quantitative risk assessment (QRA)	Lecture (2 hr)
Week 06	Quantative risk assessment	Tutorial (3 hr)
Week 07	Engineering equipment costing	Lecture (2 hr)
Week 07	Equipment costing	Tutorial (3 hr)
Week 08	Cashflows and time value of money	Lecture (2 hr)
Week 08	Depreciation and forecasting cost	Lecture (3 hr)
Week 09	Depreciation and time value of money	Tutorial (3 hr)
Week 10	Economic evaluation of projects	Lecture (2 hr)
Week 10	Economic evaluation method	Tutorial (3 hr)
Week 11	Multi-objective optimisation 1	Lecture (2 hr)
Week 11	Optimum economic design assignment	Tutorial (3 hr)
Week 12	Multi-Objective Optimization II	Lecture (2 hr)
Week 12	Optimum economic design assignment	Tutorial (3 hr)
Week 13	Water quality and impact assessment	Lecture (2 hr)

Attendance and class requirements

Students are expected to spend about 5 hours/week of independent/group study outside the specified contact periods.

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

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Tweeddale, Mark. Managing Risk and Reliability of Process Plants. Boston, Mass: Gulf Professional Pub., 2007.
Peters, Timmerhaus and West, Plant Design and Economics for Chemical Engineers (Fifth). McGraw Hill, 2003. 0-07-239266-5.

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. describe and appreciate the implications of major hazard facility
LO2. perform qualitative risk assessment of projects using rapid ranking
LO3. perform detailed review of process design using Hazop technique.
LO4. perform a quantitative risk assessment of projects
LO5. estimate project costs from the flowsheet design
LO6. understand the implications of depreciation and tax in project costing
LO7. perform basic economic evaluation of projects and optimise design
LO8. understand the economies of scale in projects

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.

Previous student evaluations identified an online approach to offer individual and group feedback on assignments via CANVAS and created more interactive tutorials to better contextualize industrial/contemporary relevance.

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

Disclaimer

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