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ELEC9714 project and seminar guidance t2 2025 page 1

ELEC9714

Electricity Industry Planning + Economics

School of Electrical Engineering and Telecommunications

University of NSW

Project and Seminar Guidelines

V2- have added 4 extra topics that involve international comparisons

1. Introduction

The project will involve students in an activity suited to their interests and skills in the area of

electricity industry planning, economics and investment. Groups of four to five students are strongly

preferred given class numbers this term although smaller or larger groups may also be permitted if

and as appropriate. Do not form a group of more than 5 students unless you have the course

coordinator’s permission.

Of particular importance, students undertaking a fourth year engineering thesis or post-graduate

research thesis or project must not choose an elec9714 project topic that closely relates to this

research. Similarly, students should not choose a project that closely relates to any other projects

that they have undertaken – for example, in elec9715 Electricity Industry Operation and Control, or

other electricity industry related courses including Wind Energy Converters, Smart Grids, PV for

Developing Countries, and Renewable Energy Policy. Finally, I do not want students to do topics that

they have previously investigated as part of any industry job or placement. After all, the intent of

these group elec9714 projects is to expose you to electricity industry planning and economics issues

other than those you might already have already worked on, or are currently working on in another

course or project. Projects will either focus on

• development and testing of a simple software, spreadsheet, Python or Matlab power system

modelling and optimisation tool relevant to planning and investment, or

• an in-depth survey of some aspect of electricity industry planning, economics and

investment, will associated quantitative modelling or analysis (around 5000 words plus

tables, diagrams, references etc.).

Project topics are to be negotiated and finalised by week four. Details on the formal requirements

for the project reports will also be provided at this time. The survey reports should contain a

significant review of the literature relevant to the topic and a comprehensive bibliography. All source

material must be adequately referenced in the body of the report and it is expected that there will

be 25 or more scholarly and industry references in a literature survey. Keep in mind the

requirements set within this course for the use of AI tools. It is also a requirement that the project

will include some analysis of actual electricity industry economics/market data. There is a 50% mark

penalty if there is no appropriate quantitative analysis. You will have to discuss your proposed

analytics with the course convenor during the project discussions scheduled in week 6.

The report will be assessed on the quality of the content, quantitative analysis and presentation.

Guidelines for the report are provided below.

Note that the course coordinator and students taking the course are not obliged to ‘solve’ group

formation for every student. In particular, you can’t just join another group unless they invite you to

do so. You need to be looking for people you’d like to work with who are interested in topics that

you are also keen to work on. There will be a discussion forum set up in week 3 that students can

post to outlining their interests, and seeking other students to join them. You may need to use it.

ELEC9714 project and seminar guidance t2 2025 page 2

Your group will also need to give a group seminar in week 10. All seminars will be presented in-

person. This seminar will be a maximum 7 minutes of presentation. All group members must

participate in the presentation so time management and group discipline is key. Also, all students are

required to attend all of these seminars and provide a peer mark for each group. Participation marks

will be deducted from students who fail to attend all seminars, unless they have sought and obtained

permission from the course coordinator for any unavoidable absences.

2. Topic selection

As noted above, there will be a Moodle discussion forum available for any student to post regarding

possible groups or topics. Feel free to post your interests and advertise for additional group

members here. There will also be a Moodle forum for registering groups

Student groups are invited to propose their own topics, subject to approval of the course

coordinator. Student groups who wish to choose their own topic should send the course coordinator

an email in the first instance. Please describe the proposed topic briefly, and the students interested.

Your topic should be relevant to the material covered in elec9714 over the term, and have adequate

literature on the topic for you to review, as well as relevant market or other data for the quantitative

analysis that is also required. If the course coordinator agrees with the topic then they will email you

to let you know.

Alternatively, your group may choose one of the topics suggestions that I provide. Keep in mind that I

don’t want more than one group per topic – yes, only one group per topic this year. See also the

discussion above about how students must not choose topics that relate directly to other project,

coursework or industry roles that they have done.

Topic Nomination Process:

Topics will formally be registered via a discussion forum that will become available at

9am on Monday of week 4. You can post your proposed group and topic in that discussion forum. As

noted above you will want to check other project proposals as I don’t want more than one group to

tackle any particular topic. Given that there may well be other groups who also want to do that topic,

I suggest your group agree on several possible topics, and be ready to be flexible. I will generally

award a popular topic to the first group that posts to the forum requesting it, so don’t be late. As

always, I retain the right to reallocate a topic as I see fit. On the bright side, you’ll note that there is a

reasonable amount of overlap on some of the topics. And you can always approach me with a

particular topic idea – always happy to discuss these via email.

Note again that you can't just join an existing group on the Moodle - if you haven't spoken with the

other students and obtained their agreement, you’ll need to go discuss with them (best done via MS

Teams). They are not under any obligation to let you join. Again, you must not assume that you can

join an existing group – you need to persuade them of the value that you will bring to the group.

Note that even if accepted into a group, we may require separate reports if some members of the

group don’t believe everyone contributed appropriately. This does occasionally happen and I want

you to be very clear that you do not have to tolerate a member of your group that doesn’t do any

work. The report cover sheet requires that every group member agree, and sign off, the individual

contributions of each of the group members.

Final group and topic arrangements will hopefully be finalised by the end of week 4. There will be

one-on-one group project meetings with Iain via MS Teams in Week 6. These are not assessed but

are compulsory this year because my experience in previous years is that the projects that went

badly all involved groups that did not take advantage of these consultations. Consultations will run

ELEC9714 project and seminar guidance t2 2025 page 3

for 10 minutes and any and all students are very welcome to ‘sit in’ on any and all of these project

discussions. The proposed quantitative analysis will be discussed, so your group will want to have

given this some though.

Reports are due by midnight Tuesday of week 11. Note again that the project seminars will be

presented in week 10 via MS Teams. All students will be involved in marking the seminars. 50% of

the mark will be on the content of the presentation, and 50% on the professionalism of the

presentation, including handling questions.

3. Assessment

Total mark allocation for the projects is as follows:

Assessment activity Assessment (%)

Group project reports on an agreed topic

This is a mark shared by all members of the group, except under

extenuating circumstances.

17

Group student seminar on their report topics

This is a mark shared by all members of the group, except under

extenuating circumstances.

8

4. Reports

Reports must represent a significant review of the literature relevant to the topic and go well beyond

the material presented in the lecture series. The main body of the report should be at least 5000

words in length. It should contain a comprehensive list of references. It will therefore be necessary to

spend some time searching through journals and other credible internet resources (for example,

government agency, industry and consultancy reports) for appropriate material. All source material

must be adequately referenced in the body of the report and it is expected that there will be 25 or

more scholarly, government and/or industry specific references in a literature survey. It is also

required that the project include some analysis of actual electricity industry economic data,

undertaken by the group (ie. you can’t just reference the quantitative assessment of others). This

could be of market data, or utilise simple spreadsheet modelling or similar. The key point here is

that all projects involve quantitative as well as qualitative work. You will be required to submit the

underlying Excel, Matlab or equivalent data and analysis when submitting your report.

Each report must begin with a one or two page executive summary that concisely presents the scope

and main findings of the report. The report should be both comprehensive and critical. Key aspects

of the topic should be covered and a wide range of sources should be used. It is very important that

reports should be more than just summaries of a couple of papers. A critical and integrative analysis

of the literature is required that draws on a significant number of separate references (books, journal

articles, reports etc). Part of what is being assessed is your group's ability to find appropriate

reference material, to read and understand it and to synthesise this information into a coherent

report. You’ll also need to undertake relevant numerical analysis and/or modelling and present these

findings. In all cases, the report should extend the material presented in the lecture component of

this elec9714 course.

ELEC9714 project and seminar guidance t2 2025 page 4

The report must be your group's own work. The UNSW policy on student plagiarism can be found on

the www.unsw.edu.au website. Note also the information on plagiarism detailed in the elec9714

introduction which is available on the Moodle. Your group will need to all sign a report cover sheet

on submission that identifies which student did which part of the work. The use of generative AI

beyond what is specified in the course outline is not acceptable and the University has a number of

automated plagiarism checking tools that will be used. Depending on the severity of the offence,

plagiarism may mean zero marks for the project work. Furthermore, be advised that the process for

addressing plagiarism resides at the School level and above, rather than being addressed by the

course coordinator.

The suggested report structure and marking breakdown guide is as follows:

Executive Summary - concise summary of the report (1-2 pages) 10%

Introduction - explain motivation, outline key questions, methods, structure of report 10%

Literature review/context - identifying key issues, gaps from the literature 30%

Quantitative analysis - data analysis or modelling relevant to your topic 20%

Key insights for electricity industry planning and investment 10%

References - properly referenced in text, sufficient scope and number 10%

Report presentation - professional, spell checked and proof read 10%

Again, note that reports that don’t include any quantitative analysis undertaken by the group (not

just referenced analysis of others) or proper referencing (that is, a range of papers/reports identified

within the body of the report at the points where they are relevant including any copied figures) will

receive a 50% mark penalty and hence failing grade,

5. Software tools

It may also be possible for a group to develop and test a software modelling, simulation and/or

optimisation tool relevant to electricity industry planning and economics. Note that a report will also

be required along with submission of the software. You will be required to demonstrate the software

during your project seminar, and make it available to other students via the Moodle. I can provide

further guidance on expectations and assessment to groups interested in pursuing one of these

topics.

6. Possible report topics

Some suggested topics for literature survey based reports follow – note again that only one group

can be accepted for each of these. Note that your topic will be refined and focussed through

discussions with the course coordinator and a progress review in week 8. Want to propose your own

topic? – use the discussion forum or email the course coordinator with a brief outline of your

proposal and why it will add value to elec9714 this term. Keep in mind also that you must undertake

some quantitative analysis as well as surveying the literature. Key data sources include Australian

NEM data which will be made available via a tool NEMsight kindly provided for students by

EnergyOne , Australian derivatives data from ASXEnergy, regulatory determinations from the AER ,as

well as global energy data sets provided by Ember, World Energy Council and the IEA for cross-

country topics.

1. The current and potential future investment context for wind generation in the NEM

2. The current and potential future investment context for utility PV generation in the NEM

3. The current and potential future investment context for pumped hydro in the NEM

4. The current and potential future investment context for utility battery storage in the NEM

ELEC9714 project and seminar guidance t2 2025 page 5

5. The current and potential future investment context for CCGT in the NEM

6. What future for coal and gas fired generation with CCS in the NEM

7. What future for concentrating solar power (CSP) plants in the NEM

8. What future for nuclear generation in the NEM

9. The implications of large vertically integrated gentailers and market power for electricity

industry investment in the Australian NEM?

10. Current status of derivative markets in driving generation investment in the NEM.

11. Is the Australian Federal Government’s Capacity Investment Scheme working?

12. Does the NEM need a capacity market to drive investment?

13. Potential impact of industry electrification on the Australian NEM

14. Key issues and options for incorporating environmental externalities into NEM investment

15. Transmission investment regulation and practice in the Australian NEM – is it working?

16. Distribution network investment versus distributed energy resources – current and possible

future NEM practice.

17. Opportunities and challenges in driving investment of distributed energy storage technologies

in the NEM.

18. Competition between utility and rooftop PV in the NEM – which will win? Which should win?

19. The uses and potential abuses of ‘cost reflective network tariffs’ in the Australian NEM for

driving energy user investment.

20. The potential impact of electric vehicles on the NEM in terms of planning and investment.

21. How might the AEMO Integrated System Plan process be improved to assist Australian policy

makers?

22. Open source energy modelling tools for electricity industry planning and economics in the

NEM, including testing their use on some simple case studies

23. Insights on electricity market design for facilitating high renewable investment drawing on the

NEM experience.

24. The challenges of managing ‘exit’ –closure of existing generators- in the NEM

25. The rise of the ‘prosumer’ and its implications for the electricity industry, focussing on the

NEM.

26. Is there the risk of a ‘death spiral’ in the Australian NEM as consumers with PV and storage

decide to depart the grid entirely?

27. New fast frequency response markets in the NEM, and their ability to drive investment in

appropriate fast and flexible technologies.

28. The impact of Australian gas markets on NEM investment.

29. Gas versus renewables+storage for managing wind and solar variability?

30. Electrify everything – the potential extent and implications of moving non-electricity energy

sectors – industrial, transport and building heating – over to the electricity sector in Australia

31. Options for driving investment that increases security in the NEM

32. The impacts of privatisation on the Australian National Electricity Market, focussing on

investment and planning – do the government owned utilities do it differently?

33. Assessment of the NEM’s retail markets and its implications for end-user as well as utility

investment.

34. Implications of NEM FCAS markets for generation and demand-side investments

35. Implications of Snowy 2.0 and ‘Battery of the Nation’ for the NEM

36. Power to gas – potential future role of Hydrogen in the NEM and beyond.

37. How might demand-side participation in the NEM change generation and network investment

38. What impact is climate change, and particularly climate extremes, likely to have on electricity

generation planning and investment in the NEM?

39. H2 electrolysers – a new and highly flexible load for the NEM?

40. How to get better coordination of generation and transmission investment in the NEM

41. What future for Virtual Power Plants in the NEM and beyond.

ELEC9714 project and seminar guidance t2 2025 page 6

42. Just how decentralised with the future NEM be – still largely centralised or mostly running on

distributed resources

43. Possible implications of behind-the-meter BESS on future NEM investment and planning

44. Which countries have undergone the most significant energy transition over the past two

decades, by what measures?

45. What is the value of demand flexibility in electricity markets – a comparison using electricity

pricing data from electricity markets around the world.

46. How might we improve the World Energy Council Trilemma sustainability ratings to better

reflect the progress of different countries in clean energy transition?

Computer Software

Students may develop a computer program for their project in an appropriate computer language,

including a spreadsheet. The software implementation need not be professional grade software but

should demonstrate the proposed algorithm.

Suggested topics:

47. Deterministic ‘optimal’ resource mix

48. Stochastic ‘optimal’ resource mix

49. Simple valuation tool for financial derivatives to drive investment

50. Investment calculator for particular generation technologies in the NEM

The final report should include:

• A discussion of the context for the algorithm

• A description of the algorithm and its implementation in code

• A hand-worked example, verifying the performance of the code (only if possible)

• Other sample results, demonstrating the working of the software

• A basic "users guide" and an electronic copy of the code.

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