Course coordinator
Happy to consult - generally Friday afternoons between 1-3pm. Please email first to confirm.
This course introduces students to the language of energy and key scientific principles that underpin energy systems. Students are provided with an overview of the energy challenge including supply and demand and future scenarios for 2050. Students will gain a comprehensive understanding of the suite of renewable energy and technology options available.
This course is one of the foundations of the Master of Sustainable Energy (MSE) program, and delivers background training on energy systems & technology. The course enables students to become familiar with energy related concepts and terminology, establishing a common understanding among the cohort to advance together through the program. It provides students with basic facts and the capacity to argue clear cases around energy challenges. In addition, it introduces concepts and skills that will be fundamental to later courses in the MSE program.
This course has no assumed background knowledge beyond the ability to perform simple mathematical operations.
There is some pre-course reading to do before the start of the intensive (available on Blackboard).
You can't enrol in this course if you've already completed the following:
ENGY0x is not compatible with ENGY7000, and ENGY4000
Restricted to MSE, GDSE, GCSE, MEI and GCEI students.
Happy to consult - generally Friday afternoons between 1-3pm. Please email first to confirm.
The timetable for this course is available on the UQ Public Timetable.
This course aims to provide students with:
The focus of the course is on developing technical confidence and competence to be able to critique familiar and unfamiliar sustainable energy challenges.
After successfully completing this course you should be able to:
LO1.
Demonstrate an understanding of renewable and low-carbon electricity generation technologies, electricity grid infrastructure and supply systems (how electricity is transmitted and distributed between generators and load centres), and energy storage technologies including how they interact with electricity grids at different time scales
LO2.
Use analytical tools to evaluate electricity generation, grid infrastructure and energy storage technologies with respect to efficiency, resource utilisation, and environmental impact
LO3.
Analyse social, political and economic challenges of new technology deployment and provide the most effective strategies to overcome barriers to sustainable energy transition
LO4.
Effectively communicate to multiple audiences and stakeholders, sustainable solutions to multifaceted energy problems
Category | Assessment task | Weight | Due date |
---|---|---|---|
Poster, Tutorial/ Problem Set |
Wind Resource Evaluation - Poster
|
20% |
17/03/2025 4:00 pm |
Paper/ Report/ Annotation, Tutorial/ Problem Set |
Solar Resource Evaluation - Report
|
30% |
28/03/2025 4:00 pm |
Paper/ Report/ Annotation, Tutorial/ Problem Set |
Energy Storage - Problem Set
|
10% |
31/03/2025 4:00 pm |
Paper/ Report/ Annotation, Presentation |
Net Zero Electricity System - Report and Video Presentation
|
40% 25% Report / 15% Video |
Report 14/04/2025 4:00 pm Video 16/04/2025 4:00 pm |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
17/03/2025 4:00 pm
You have been asked to analyse a dataset containing wind speed and direction data from several possible wind sites to determine the optimal site. You should then compare the performance of several turbines at your selected wind site to provide a recommendation for a single wind farm that would be capable of producing at least 1500 GWh of electricity annually. The format for submission is a poster that addresses the tasks in the task sheet (given on Blackboard) AND your data/analysis file(s) which allows us to verify your approach.
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
Submission will be via a link in Blackboard.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained prior to the due date.
Penalties Apply for Late Submission
Refer PPL Assessment Procedure Section 3 Part C (48)
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Course Instance (CI), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
28/03/2025 4:00 pm
Students will be given data which they will use to evaluate the potential solar electricity production from several locations.
The task will include an assessment of the solar resource at each location, forecast electricity production and a site selection recommendation. The task will take the form of a brief report and associated calculations.
A full description including the data to be used in the assessment will be included on Blackboard.
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
Please submit via the link on Blackboard.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained prior to the due date.
Penalties Apply for Late Submission
Refer PPL Assessment Procedure Section 3 Part C (48)
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Course Instance (CI), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
31/03/2025 4:00 pm
The task will include a series of calculation problems to establish the energy storage system requirements, and other design aspects for a given set of conditions.
A full description including the data to be used in the assessment will be included on Blackboard.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission via Blackboard.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained prior to the due date.
Penalties Apply for Late Submission
Refer PPL Assessment Procedure Section 3 Part C (48)
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Course Instance (CI), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
Report 14/04/2025 4:00 pm
Video 16/04/2025 4:00 pm
Students will complete a report that builds on the reports and problem sets on Solar, Wind and Energy Storage they completed previously.
Full details included marking rubric are available on Blackboard. In short students will design a net zero emissions electricity system to service a given electricity demand using solar, wind and energy storage technologies.
The short report will include preliminary design details as well as some indicative costings and a discussion of the relevant environmental and social factors that need to be considered as part of the NZE pathway. There will also be a video presentation associated with the report where students will demonstrate their approach and calculations - the video is an individually verified assessment and a hurdle task.
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
Submission via Blackboard.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained prior to the due date.
Penalties Apply for Late Submission
Refer PPL Assessment Procedure Section 3 Part C (48)
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Course Instance (CI), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: (0-29.99%) Low Fail: Absence of evidence of achievement of course learning outcomes |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: (30-44.99%) Fail: Minimal evidence of achievement of course learning outcomes |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: (45-49.99%) Marginal Fail: Demonstrated evidence of developing achievement of course learning outcomes |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: (50-64.99%) Pass: Demonstrated evidence of functional achievement of course learning outcomes |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: (65-74.99%) Credit: Demonstrated evidence of proficient achievement of course learning outcomes |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: (75-84.99%) Distinction: Demonstrated evidence of advanced achievement of course learning outcomes |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: (85-100%) High Distinction: Demonstrated evidence of exceptional achievement of course learning outcomes |
Students must pass (>=50%) the video presentation of 'Net Zero Electricity System - Report and Video Presentation' to pass the course.
Supplementary assessment is available for this course.
Supplementary assessment will be in the form of a oral exam of 45 minutes in length.
Students will attempt 8 questions (pass/fail) and must successfully answer at least 5 to pass the supplementary exam.
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Find the required and recommended resources for this course on the UQ Library website.
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Learning period | Activity type | Topic |
---|---|---|
Week 1 |
Lecture |
Lectures Primary content delivery for the course. These are timetabled as General Contact Hours, but will be a series of lectures across 2 days in Week 1. Will cover (typical order):
Learning outcomes: L01, L02, L03 |
Multiple weeks From Week 2 To Week 6 |
Workshop |
Workshops These workshops will extend initial lecture material and introduce problem sets. A typical structure would be:
Topics covered include (but not limited to):
Learning outcomes: L01, L02, L03, L04 |
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.