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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 |
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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: | |
Due Date: | Week 15 |
Weight: | 40 % |
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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 |
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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: | |
Due Date: | Refer to Assessment Description |
Weight: | 30 % |
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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 |
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