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elec9714 assignment 1 2018.pdf - ELEC9714 Electricity...

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ELEC9714 Assignment 1, s1 2018 page 1 ELEC 9714 Electricity Industry Planning + Economics School of Electrical Engineering and Telecommunications University of NSW Assignment 1 This assignment will be distributed to you on Friday of week 3 via the course Moodle. It is due on Friday midnight of week 6. The assignment must be submitted via Moodle as a single pdf file. Aim to make your assignment look like a professional consultancy report and paste in Excel plots and calculation tables. The assignment must be submitted individually and must be your 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 Course Introduction which is available on the course Moodle. Note that UNSW uses automated plagiarism software. You are also required to upload your Excel Spreadsheet file. This will not be marked but may be checked if there are concerns about assignment similarities across two or more students. The assignment will be marked out of 13. The two assignments over the course are in total worth 25% of your final assessment. This assignment is 13% of your final mark. Note that late submission without good reason will see you lose 2 marks per day it is late. I suggest you contact me prior to the submission date if you expect to be late in order to discuss arrangements. Two Excel Spreadsheets are available on the Moodle. Both are sourced from the AEMO National Transmission Network Development Plan process - you will be using the same general data that AEMO uses for Australian NEM planning. However, it has been updated to reflect recent cost reductions in wind and PV technologies, and rising gas prices. We have also added a dispatchable renewable technology. You are strongly encouraged to use Excel to undertake this assignment indeed, you will need to use it. We also strongly urge you to spend the time to work out how to automate the calculations as much as possible. There are lots of parts to this assignment that extend the initial analysis - make it easy to change key parameters such as the carbon price by making it an external parameter which your formulas references, rather than hard-coding it in. A little automation will make your life much easier. As an energy policy analyst working for the Queensland Government you are part of a team intended to advise the State Government regarding the aging coal and gas generation fleet in the State, and Queensland’s renewables target of 50% by 2030, and 70% by 2040. Note that the Government is concerned that the National Electricity Market is incapable of providing the State with secure affordable power and is actively considering ‘going it alone’ including government funding of generation investment, and no reliance on interconnector flows with NSW or any of the other States. You have been given the responsibility to estimate the optimal 'new build' generation plant mix for the Queensland Electricity Industry in 2040. This will be an input into Government decision making on what types of generation deployment they should be facilitating.
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