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UCL Launches New MSc Programme on Global Management of Natural Resources

Published: Jan 19, 2016 5:07:52 AM

UCL Australia Graduation 2015

Published: Dec 3, 2015 1:33:45 AM

Santos Scholarship 2016

Published: Sep 22, 2015 2:09:55 AM


UCL Australia
Torrens Building
220 Victoria Square
Adelaide, South Australia, 5000

Tel: +61 8 8110 9960
Fax: +61 8 8212 3039

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Research at UCL Australia

UCL School of Energy and Resources

Research in the School of Energy and Resources focuses on both the upstream and downstream development of energy and resources, covering a wide range of disciplines - from engineering and economics to environmental science and law. 

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Mullard Space Science Laboratory

The Mullard Space Science Laboratory (MSSL) is a world-leading research organisation delivering a broad science programme that is underpinned by a strong capability in space science instrumentation, space-domain engineering, space medicine, systems engineering and project management.

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International Energy Policy Institute

The International Energy Policy Institute (IEPI) was created to address key policy issues in the mineral, energy and resources industries through intensive and innovative research.

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2014 Annual Report

2014 Annual Report cover

Read about all departmental research in the 2014 Annual Report.

Capturing the benefits of high performance computing for investment decisions in electricity markets: an emphasis on capacity expansion in a carbon-constrained and uncertain future

Charles Nweke

Charles Ikenna Nweke (BEng)

Project submitted in partial fulfilment of the requirements for the degree of MSc (Energy and Resources), UCL School of Energy and Resources, Australia.

Best Three Minute Thesis, UCL Australia Graduate Research Conference 2012.


Uncontrolled penetration of wind capacity into the Australian electricity network could result in increased emissions and production costs in the system, according to my capacity expansion planning (CEP) modelling. 

CEP selects the optimal mix from competing generation options, but requires a shift from orthodox methods proven to be effective in the past.  My thesis assessed the viability of an exhaustive method of modelling demand in CEP (with chronology retained), against the backdrop of ongoing enhancements in computing performance. The traditional modelling of load demand using Load Duration Curve approximation was also measured against increasing level of intermittent generation, using a South Australian electricity model. 

While I found uncontrolled penetration of wind could force up costs and emissions, the more detailed chronological method was better able to manage such unfavourable investment paths.