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.
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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
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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.
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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
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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.
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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.