Unit Outline
ENG763
Energy Systems Modelling
Semester 2, 2024
Evan Franklin
School of Engineering
College of Sciences and Engineering
CRICOS Provider Code: 00586B

Unit Coordinator
Evan Franklin
Email: Evan.Franklin@utas.edu.au
What is the Unit About?
Unit Description
 

This unit provides students with the skills and knowledge required to model energy systems in an environment where generation, demand and energy storage in power systems are rapidly evolving. Students will develop energy balance models for individual power systems components, based on realisation of physical processes associated with for example hydro storage and generation, battery storage, renewable sources of generation and fixed and flexible demand, and will then develop simulations of complete power systems under a range of different scenarios. Students will gain skills in running energy system simulations and appropriately interpreting outcomes in order to formulate well-articulated rationale for and descriptions of future energy systems. Students will gain an understanding of energy markets and their role in shaping future energy systems.
Intended Learning Outcomes
As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.
On completion of this unit, you will be able to:
1
Identify key elements required for energy systems modelling, based on physical power systems components
2
Evaluate approaches for energy delivery in power systems, including energy services not currently electrified
3
Interpret large energy system modelling study assumptions, data inputs and key outcomes
4
Quantify key enablers for renewable energy based power systems via energy system modelling
5
Quantify the interaction of renewable generation with energy markets by applying knowledge of energy economics and energy markets
Requisites
REQUISITE TYPE
REQUISITES
Pre-requisite
ENG767 Power Systems 1
Alterations as a result of student feedback
 
 
 

Teaching arrangements
ATTENDANCE MODE
TEACHING TYPE
LEARNING ACTIVITY
CONTACT HOURS
FREQUENCY
On Campus
Workshop
Interactive workshop consisting of content delivery, group discussions based on pre-reading, guided development of energy system modelling approaches and code development, problem-solving and presentations. For some weeks, workshop session will be replaced by industry seminars.
2
2 times per week
Seminar
Industry seminars led by experts in the field.
2
Study Period 3 times
Attendance / engagement expectations
If your unit is offered On campus, it is expected that you will attend all on-campus and onsite learning activities. This is to support your own learning and the development of a learning community within the unit. If you are unable to attend regularly, please discuss the situation with your course coordinator and/or our UConnect support team.

If your unit is offered Online or includes online activities, it is expected you will engage in all those activities as indicated in the Unit Outline or MyLO, including any self-directed learning.

If you miss a learning activity for a legitimate reason (e.g., illness, carer responsibilities) teaching staff will attempt to provide alternative activities (e.g., make up readings) where it is possible.
 
 
 
 

How will I be Assessed?
 
For more detailed assessment information please see MyLO.
Assessment schedule
ASSESSMENT TASK #
ASSESSMENT TASK NAME
DATE DUE
WEIGHT
LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:
In-semester Test
Week 9
20 %
LO1, LO3, LO5
Assessment Task 2:
Presentation
Week 10
10 %
LO4, LO5
Assessment Task 3:
Major Project
Week 15
40 %
LO2, LO3, LO4
Assessment Task 4:
Energy System Dispatch Model Assignments (x 2)
Refer to Assessment Description
30 %
LO1, LO2, LO3, LO4
 
Assessment details
Assessment Task 1: In-semester Test
Task Description:
In-semester test
Task Length:
90 minutes
Due Date:
Week 9
Weight:
20 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Define key characteristics, inputs, outputs, state variables, relationships and constraints for a variety of power system components
LO1
2
Analyse and interpret energy systems modelling data for a power system containing renewable energy and storage
LO3
3
Describe typical financing and contract management processes as they apply to a new renewable energy project
LO5
4
Explain how energy markets operate and how renewable generation interacts with markets
LO5
 
Assessment Task 2: Presentation
Task Description:
Presentation assignment
In this presentation students will focus on the actions needed to successfully integrate a new renewable project into an energy system. Students will apply their knowledge of energy market operation and data to present a business case for a new renewable energy project.
Task Length:
15 minutes
Due Date:
Week 10
Weight:
10 %
 

 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Describe the actions needed to successfully integrate a new renewable project into an energy system
LO4
2
Present a business case for a new renewable energy project based on knowledge of energy market operation and data
LO5
 
Assessment Task 3: Major Project
Task Description:
Major project
Apply energy system modelling approaches to the selection of renewable energy generators and to selecting an suitable mix of generation, storage and flexible demand for an energy system.
The findings of this project will be shared through a written report.
Task Length:
25 pages
Due Date:
Week 15
Weight:
40 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Develop and validate an integrated energy balance model of a power system containing a variety of components
LO2
2
Evaluate outcomes for a range of modelled energy system scenarios
LO2
3
Justify selection of renewable generation and storage technologies, by interpreting energy system modelling
LO3
4
Quantify, via energy system modelling, a suitable mix of generation, storage and flexible demand for an energy system
LO4
 
Assessment Task 4: Energy System Dispatch Model Assignments (x 2)
Task Description:
Assignment (x2)

Assignment 1 due week 5
In this assignment students will define key characteristics, inputs, outputs, relationships and constraints for a variety of power system components and develop and apply simple energy balance models to solve merit order dispatch in a small, closed system.

Assignment 2 due week 8
In this assignment students will define key characteristics, inputs, outputs, state variables, relationships and constraints for a variety of power system components and develop and apply simple mathematical descriptions of state variable transitions for those components, and include merit order dispatch to meet demand and balance resources.
Task Length:
10 pages each
Due Date:
Refer to Assessment Description
Weight:
30 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Define key characteristics, inputs, outputs, state variables, relationships and constraints for a variety of power system components
LO1
2
Develop and apply simple mathematical descriptions of state variable transitions for energy balance modelling of energy system components
LO2
3
Analyse a comprehensive national-level power system planning and scenario modelling report (equivalent to for example AEMO’s ISP2020)
LO3
4
Evaluate a range of published energy systems modelling studies to specify the requirements for power systems to host large amounts of renewable energy generation
LO4
 
 
 

How your final result is determined
To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.
Submission of assignments
Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.
Academic integrity
Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see
Important Guidelines & Support.
Requests for extensions
If you are unable to submit an assessment task by the due date, you should apply for an extension.
 
A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.
 
The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.
Late penalties
Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.
Review of results and appeals
You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.