Hobart
Introduction
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.
Summary
| Unit name | Energy Systems Modelling |
| Unit code | ENG763 |
| Credit points | 12.5 |
| College/School | Sciences and Engineering School of Engineering |
| Discipline | Engineering |
| Coordinator | Associate Professor Evan Franklin |
| Delivered By | University of Tasmania |
| Level | Postgraduate |
Sustainable Development Goals
The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.
Availability
Specific information on 2027 unit availability will be available in August
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 4/7/2027 | 26/7/2027 | 29/8/2027 | 23/10/2027 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2027 are indicative and subject to change. Finalised census dates for 2027 will be available from the 1st October 2026. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Identify key elements required for energy systems modelling, based on physical power systems components
- Evaluate approaches for energy delivery in power systems, including energy services not currently electrified
- Interpret large energy system modelling study assumptions, data inputs and key outcomes
- Quantify key enablers for renewable energy based power systems via energy system modelling
- Quantify the interaction of renewable generation with energy markets by applying knowledge of energy economics and energy markets
Fee Information
2027 fee information will be available in August.
Requisites
Prerequisites
ENG767 Power Systems 1Teaching
| Teaching Pattern | Teachng will consist of interactive workshops and lab sessions, totalling 3 hours per week on average. |
|---|---|
| Assessment | Presentation (10%)|In-semester Test (20%)|Energy System Dispatch Model Assignments (x 2) (30%)|Major Project (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.